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HEURISTIC ROUTING
This publication (SW-113) was written
for the Federal solid waste management programs
by KENNETH A. SHUSTER and DENNIS A. SCHUR
U.S. ENVIRONMENTAL PROTECTION AGENCY
1974

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An environmental protection publication (SW-113) in the solid waste management series



                    For sale by the Superintendent of Documents, U.S. Government Printing Office
                                  Washington, D.C. 20402 - Price $1.05
                                      Stock Number 5502-00120

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  The collection of solid wastes generally represents from 70 to 80 per-
cent of a community's total waste management costs. To help reduce
these costs, and at the same time improve the quality  of community
services, over the past several years EPA's Office of Solid Waste Man-
agement Programs has been conducting studies on solid waste storage
and collection systems. This report on heuristic routing is the first of a
series of reports documenting the studies. Others will include:
      •  A  Five-Stage Improvement Process for Solid
        Waste Collection Systems
      •  Management Information System for Residential Solid
        Waste Collection
      •  Policies and Methodologies for Solid Waste Collection
      •  Districting and Route Balancing
  Additional projects are under way or planned that ultimately will
complement this information. These include studies on: rural storage
and collection systems; inner-city storage and collection systems; finan-
cial mechanisms for both capital and operating expenses; institutional
and organizational arrangements, ranging  from public collection sys-
tems to open and  free  private competition working within various
regulatory  and utility structures.
  All the studies and resultant reports have two major purposes:  (1) to
provide information or guidelines on the many possible alternatives for
storage  and collection systems; (2) to  provide relatively simple, but
effective, solid waste management tools for evaluating the systems.
These management tools are designed to measure the effectiveness and
efficiency of the  various kinds of storage  and collection  systems, to
identify high cost centers in the systems, and to provide predictive infor-
mation on the effect of changes in the systems.
  The objectives of a storage and collection system should be to provide
service  that  is economical,  that is environmentally sound, that  is
aesthetically acceptable, and that assures a continuity in service. These
same objectives also are the underlying measures of storage and collec-
tion effectiveness used in developing the guidelines and the manage-
ment tools.

                                  -ARSEN J. DARNAY
                                    Deputy Assistant Administrator
                                    for Solid Waste Management
                                                                             111

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                   INTRODUCTION   1
MICRO-ROUTING—WHY AND WHEN  5


             HEURISTIC APPROACH  6

              TO MICRO-ROUTING


PROCEDURES FOR MICRO-ROUTING  13



    PATTERN METHOD OF ROUTING  16

       FACTORS TO CONSIDER FOR  19
                IMPLEMENTATION
  APPLYING HEURISTIC ROUTING TO  23
  HUNTINGTON WOODS, MICHIGAN
                    CONCLUSION 38

                       EXERCISES 38

                     REFERENCES 45

                       ABSTRACT 45

                          TABLES 24


                                  24


                                  30


                                  30
what is the heuristic approach
to problem solving?
what is routing?
why a heuristic approach to micro-routing?

what is the value of micro-routing?
when should it be used?

what are the heuristic rules for micro-routing?

what routing patterns should be applied?
how are the heuristic rules applied?

what preparations are needed for routing?
what data are required for routing?
routing, how is it done?
evaluating existing policies
compiling the data
reviewing existing and alternative operations
determining the new routes
implementation considerations
effectiveness of the micro-routing program
table 1. seasonal variations in solid waste
collection—City of Huntington Woods, Michigan

table 2. residences serviced by day of week
and truck [Huntington Woods]

table 3. time required for various collection
activities [Huntington Woods]

table 4. old and new collection routes
[Huntington Woods]

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 what is the

 heuristic approach

 to problem  solving?

 The heuristic approach to problem solving con-
 sists of applying human intelligence,  experi-
 ence, common sense and certain rules of thumb
 Cor heuristics) to develop an acceptable, but
 not necessarily an optimum, solution to  a prob-
 lem. Of course, determining what constitutes an
 acceptable solution is part of the task of decid-
 ing what approach to  use; but broadly defined,
 an acceptable solution is one that is both reason-
 ably good (close to optimum) and derived with-
 in reasonable effort, time, and cost constraints.
 Often  the  effort  (manpower, computer, and
 other resources)  required, the time limits on
 when the  solution is  needed, and the cost to
 compile, process, and analyze all the data re-
 quired for  deterministic or other complicated
 procedures preclude their usefulness or favor
 the faster, simpler heuristic approach.
  Thus, the heuristic approach generally is used
 when deterministic techniques or mathematical
 models are not  available, economical, or prac-
 tical. Its use, according to Bowman and Fetter,
 predominates in at least three circumstances:
 1.  Where problems are so complex that, though
   the essence of the problem may be stated in
   a mathematical framework, the computation
   required is quite unfeasible,  even on the
   largest computer.
2.  Where  problems—especially  policy  prob-
   lems with which top managers must grapple
   —are so amorphous  that a mathematical
   model cannot capture their most important
   characteristics.
3.  Where, although a mathematical model may
   be successfully employed, the prelude to the
    model and the work subsequent to the model-
    ing must be of a less formal nature. 1

   Most complex problems encountered in the
 real world fall into one or more of the preceding
 categories and often can be solved through the
 use of heuristics. Or, frequently the most eco-
 nomical and practical approach is a combina-
 tion of rigid models and heuristics.
 what is  routing?

 The term routing  has been applied to solid
 waste management in several  different ways.
 As  a result, several models or approaches to
 solid waste routing have been developed, each
 of which addresses itself to a very different
 problem. The problems, or models, may be
 divided  into three  categories:  macro-routing,
 districting and route balancing, and micro-rout-
 ing (Figure 1).
   Macro-roufing determines the assignment of
 daily collection routes to existing processing
 and disposal sites. The objective is to optimize
 the use of processing and disposal facilities in
 terms of the daily and long-range capacities and
 operating costs of the facilities,  while minimiz-
 ing  the round trip haul time (and hence the
 hauling cost) from the collection routes to the
 processing or disposal sites. Information essen-
 tial to macro-routing includes haul times from
 the routes to the various processing  and dis-
 posal sites,  crew size  and vehicle capacity,
 expected arrival, queue, and service  times at
 the sites, and short- and long-range capacities
 and  costs of the sites. Macro-routing may also
 be useful in determining which of several pro-
posed processing and disposal sites or garage
locations is most economical, again by consider-
ing such  factors  as  costs, site capacities,  and
                                                                                      1

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                                                          DISTRICTING:
                                                          DETERMINATION OF ROUTE
                                                          BOUNDARIES, ROUTE BALANCING.

                                                                         Monday
                                                                         Tuesday
                                                                         Wednesday
                                                                         Thursday

                                                                         Truck #1
MACRO-ROUTING:

ASSIGNMENT OF COLLECTION
ROUTES TO PROCESSING &
DISPOSAL  SITES.
        ty *»;•;•:• I To landfill
              To incinerator
                                                      MICRO-ROUTING:

                                                      PATH OF COLLECTION
                                                      VEHICLE ON THE ROUTE.

              Figure 1.  Types of routing: (1) macro-routing is assigning collection routes to
              processing and disposal sites; (2) districting is determining route boundaries and
              route balancing; (3) micro-routing is determining the path of collection vehicles
              on the route. The heuristic  approach described in this report applies to
              micro-routing.

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 round trip haul times.
   Districting and route balancing determines a
 fair day's work and divides the collection areas
 into  balanced routes so that all crews have
 equal workloads. This is achieved through a
 careful evaluation of how  the collection crew
 spends its time.
   Micro-roufazg  looks in detail at each daily
 colleqtion service area to  determine the path
 that  the collection vehicle  should follow as it
 collects from each service on its route. The ob-
 jective is to minimize the driving time on the
 collection route  through  minimizing  the dead
 distance  (i.e., street  segments that  have  no
 services or that are traversed more than once),
 backing of vehicles, U-turns, left turns, collec-
 tion on major  streets  during rush hour  traffic
 and other delay times.
 why a heuristic
 approach to
 micro-]
 Traditionally  there  are three approaches to
 problem solving: deterministic, heuristic-deter-
 ministic, and heuristic.
   The deterministic approach would  seek to
 solve the micro-routing problem by developing
 a mathematical model. This model would al-
 ways determine the optimum route based upon
 the required input data. To date, no completely
 deterministic  models  have  been  developed.
 That is, there are no models that consider all the
 factors pertinent to  routing and that guarantee
 the optimum  solution through eliminating all
 other possible alternatives.  There are  three
 major reasons for this. First, it is too difficult to
 quantify all the  pertinent factors.  Second, it
 would be prohibitively costly  and time-consum-
 ing to investigate all the possible solutions, even
 with a computer model. And third, the collec-
 tion route itself is subject to so many dynamic
 variables that the optimum solution may change
 frequently.
  As  applied here the heuristic-deterministic
approach attempts  to solve the micro-routing
problem by using a computer  to examine many
possible  alternatives and select the best alter-
native based on some heuristic algorithm. In
 applying any of the computer models currently
 being marketed, the user (typically a consul-
 tant) must spend time becoming familiar with
 the community, preparing information for com-
 puter input, and adjusting and debugging the
 computer  program  to  perform the necessary
 computations for each specific community. The
 computer  input includes information required
 to develop an elaborate node system defining
 the street network of the community (Figure 2)
 and the characteristics of each street segment;
 e.g., the length of the street and the number of
 services between nodes; traffic patterns; and the
 quantity of waste generated.
   The heuristic approach deals with the micro-
 routing problem by using a manual procedure
 to develop acceptable collection routes without
 examining  many possible alternatives. It  is
 certainly possible to develop a good solution to
 the micro-routing problem using either the heu-
 ristic-deterministic computer models or the man-
 ual  heuristic approach.
   The manual heuristic approach, however, has
 some distinct advantages over the computer
 models. It  is faster,  less costly, more flexible,
 and easier for local personnel to  apply. The
 manual  heuristic approach requires less data
 preparation than the computer models by elim-
 inating several such time-consuming tasks as
 preparing information for computer input, dev-
 eloping  a  node  network, and modifying the
 computer program.
   The computer is a powerful and  useful tool,
 but  in the case  of micro-routing,  a man can
 often perform the task more economically. For
 example, it is easy for a person to read a map,
 but  difficult to  program a computer to do so.
 Heuristic rules are relatively easy for an experi-
 enced person  to apply while considering  a
 variety of street and traffic peculiarities, com-
 pared to the difficulty and cost of programming.
 It  is also relatively easy for a person to add or
 modify a rule  for a specific situation, or to
 modify a route  at a later date, compared to re-
 writing programs, punching  new data cards,
 and  rerunning  a computer model.  Municipal
personnel can readily understand the basis for
routings done manually—a real advantage in
implementing, in  conducting  daily operations,
and in making necessary modifications as con-
ditions change.
 537-034 O - 74 - 2

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Dept.of Public Works
                                                                                               MILES
                                   MILE ROAD



    • DESIGNATES NODES TO BE PROGRAMMED
                                                                                                            o
                                                                                                            o
                                                                                                            o

                                                                                                            I
                                                                                                            ffi
                                                                                                            
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what is the value  of

micro-routing?

  The value of micro-routing becomes obvious
when one considers the repetitive nature of the
collection process: any time saved by reducing
collection route distance and travel delays be-
comes cumulative. Assume, for example, that a
community has 10 trucks, each with a three-man
crew that services 450 residences daily in about
4 hours of on-the-route collection time. If 24 min-
utes of collection time per crew can be saved
by  rerouting, then nine collection  routes .can
service the  same areas  without taking  more
than the original 4 hours by adding 50 services
to each route. The total savings represent one
collection vehicle and three man-years of labor
(one crew). To realize these savings, these 24
minutes per  route must, of course, be utilized
through further rerouting and route expansion
or through a change in crew size, rather than
dismissing the collectors  24 minutes earlier
each day. The larger the collection system (i-e-
number of crews) the greater is the  absolute
savings potential.
when  should it

be used?

In many communities the existing collection,
routes have  evolved as the communities have
grown, by sporadically adding a section here
and there to  the various routes, or adding new
routes to the new areas. Rarely has the overall
route structure  been  periodically  examined.
Thus many communities have fragmented, over-
lapping, or  unbalanced routes that have un-
necessary dead distance, delay times, and in-
equitable workloads. If this is the case, micro-
routing should be used.
  Rerouting is also needed whenever there is a
significant change in the collection system. Such
changes include: frequency of collection; point
of collection (curbside, alley, or backyard);
crew size; truck size or equipment  type; location
of disposal sites; type of storage container [209-
liter  (55-gal) drums,  cans, sacks,  etc.]; com-
bined versus separate waste collection; or num-
ber of services. In case of a change  in disposal
sites, macro-routing should precede  micro-rout-
ing to determine round trip haul  time for each
route.

-------
The heuristic approach to routing is a relatively
simple and expedient method for obtaining an
efficient route layout that minimizes dead dis-
tances and delay times. The heuristic approach
could also be called the pattern method of rout-
ing since it relies heavily on the application of
specific routing  patterns to certain block  con-
figurations.  Admittedly,  efficient routing  re-
quires both skill and aptitude. But guided by
certain heuristic rules and patterns, and through
experience, a router can readily develop  the
ability to scan a map and rapidly and system-
atically plot timesaving routes.
 what are the
 heuristic rules
 for micro-routing?

  1. Routes should not be fragmented or over-
 lapping.  Each route should be compact, con-
 sisting of street segments clustered in the same
 geographical area.
  2. Total collection plus haul times should be
 reasonably constant for each route in the com-
 munity (equalized workloads).
  3. The collection route should be started as
 close to the garage or motor pool as possible,
 taking into account heavily traveled and one-
 way streets. (See rules 4 and 5.)
  4. Heavily traveled streets should not be col-
 lected during rush hours.
  5. In the case of one-way streets, it is best to
 start the route near the upper end of the street,
 working down it through the looping process
 (Figure 3).
  6. Services on dead end streets can be con-
 sidered as services on the street segment that
 they intersect, since they can only be collected
 by passing down that street segment. To keep
left turns at a minimum, collect the dead end
streets when they are to the right of the truck.
They must be collected by walking down, back-
ing down, or making a U-turn.
  7. When practical, steep hills should be col-
lected on both sides of the street while vehicle
is moving downhill for safety, ease, speed of
collection, and wear on vehicle, and to conserve
gas and oil.
  8. Higher elevations should be at the start of
the route.
  9. For collection from one side of the street
at a time, it is generally best to route with many
clockwise turns around blocks.
  Heuristic rules 8 and 9 emphasize the devel-
opment of a series of clockwise loops in order
to minimize left turns, which generally are more
difficult  and time-consuming than right  turns
and, especially for  right-hand-drive vehicles,
right turns are safer.
  10. For collection from both sides of the street
at the same time, it is generally best to  route
with long, straight paths across the grid before
looping clockwise.
   11. For certain block configurations within
the route, specific routing patterns should be
applied.
what  routing
patterns
should be applied?

As the router gains experience, he will recognize
routings that are efficient for certain block pat-
terns. Certain patterns should be considered
whenever the grid has blocks arranged as
shown in the figures  (Figures 3 through 7).
Sequential  application of these patterns helps

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                             START
                        «*•
Figures.  Specific  routing  pattern  for  one-way  street,  one-side-of-the-street
collection.  In this pattern, collection is made from both sides of the one-way
street during the pass. For wide or busy one-way streets, it is necessary to loop
back to the upper end and make a straight pass down the other side.

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             DIRECTION OF ONE-WAY STREETS
    Figure 4.  Specific routing patterns  for multiple one-way  streets. Note the
    one-way streets are paired with a clockwise movement.

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                                                            START •-
                                                         FI N PS H. •
     FOUR-BLOCK CONFIGURATION APPLICABLE WHEREVER
     FOUR BLOCKS ARE POSITIONED AS SHOWN
                                                                      THREE-BLOCK CONFIGURATION
 START*.
FINISH*
                                                       START
                                                      FINISH
    VARIATION OF THREE-BLOCK CONFIGURATION
                                                           VARIATION OF THREE-BLOCK CONFIGURATION
                Figure 5. Some specific routing patterns for three- and four-block configura-
                tions. In all configurations, blocks may vary in size and shape.

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          START
          FINISH
                                        4x4 BLOCKS
                                        NO LEFT TURNS
                                        NO DEAD DISTANCE
          START
          FINISH
                                        4x6 BLOCKS
                                        ONE LEFT TURN
                                        NO DEAD DISTANCE
          Q
n
                                a-a
n
                                            •a
n
                           a
                                       D  a
                                     E
                           a
                                 6x8 BLOCKS
                                 ONE LEFT TURN
                                 NO DEAD DISTANCE
                               START     FINISH

            Figure 6. Combinations of the four-block pattern, one-side-of-the-street collec-
            tion. Note that each route is started midway on an evenly divided side of the
            grid, and uses the same routing pattern, with progression in a counter-clockwise
            fashion. For the larger grids,  once the outside is routed the inside is routed in a
            clockwise progression.
10

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                     START
                                 FINISH
                                                    PAT TERN  A
                   FINISH  •
                                                     PATTERN   B

                 Figure 7.  In  specific routing  patterns for both-sides-of-the-street collection,
                 pattern A entails no left turns, and pattern B requires nine left turns. Dash lines
                 represent "dead distance" or non-collection segments of the route.
                                                                                                            11
537-034 O - 74 - 3

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yield efficient route layouts. After determining
which street segments have services and which
are without services, applying these patterns
and developing additional patterns for an ef-
ficient route is relatively simple.
  To help simplify the problem, a grid simpli-
fication technique, described in the  section
"Routing, How Is It Done?" may be applied be-
fore looking for block patterns.
                                     *
how are the
heuristic rules
applied?

The heuristic  rules are  guides which, used in
conjunction with the patterns, help determine
the vehicle path or route. Because of the infinite
possibilities of street and block  arrangements
and routing patterns, a rigid procedure for rout-
ing cannot be applied and thus routing does not
lend itself well  to being programmed for  a
computer.
  In applying the heuristic rules and patterns,
the router should look ahead and behind sev-
eral  street  segments and  ask himself  these
questions:
•  Do any of the heuristic rules apply here?
  Are they being violated?
•  Have any street segments been left behind
  that will require a long dead distance to re-
  turn and pick up?
•  Are there already some long dead distances
  that might be reduced through slight  modi-
  fications?
•  Are there any peculiar or unique character-
  istics of the area which should be considered?
•  Are there any patterns that can be utilized
  in the routing?
  Once the initial layout has been determined,
it should be reviewed for further refinements.
The route should be  retraced and  alternate
routings or  modifications should be attempted
wherever long  dead distances are apparent.
Note,  however,  that to evaluate all possible
routing alternatives is a formidable  task that
even computer models do not attempt.
  In summary, the heuristic rules and patterns
facilitate the routing process, but must be tem-
pered with a commonsense application and ex-
amination as the route is being developed.
12

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what preparations

are needed  for

routing?

In  developing on efficient  collection system,
micro-routing  as defined here is actually the
last of four tasks that might precede implemen-
tation. In order, these tasks are:

• Review and evaluation of existing policies
  and methodologies
• Macro-routing
• Districting and route balancing
• Micro-routing
• Implementation

  A major tool that will assist in all of these
tasks  is a  management information  system
(MIS) based  on a daily collection activity re-
port.  The MIS. includes  route, collection, and
cost information records that help identify time
and cost centers. A report entitled Management
Information System for Residential Solid Waste
Collection provides further detail.2

  Collection policies and methodologies directly
affect  routing   and collection efficiency and
should be reviewed, evaluated, and changed, if
necessary, before rerouting proceeds. This kind
of analysis is discussed fully in a report entitled
Policies and Methodologies for Solid Waste Col-
lection.3  Policies,  which primarily relate  to
levels of service, include:
•  Point of collection (distance  from street to
  storage)
•  Freguency of collection
•  Type and weight limits of storage device
•  Garden waste collection
•  Bulky waste (furniture, white goods) collec-
  tion
•  Separate versus combined collection
  Methodologies, or on-the-route practices, in-
clude :

• Crew size
• Type and capacity of collection vehicles
• Shuttle system
• Reservoir system
• One-side versus two-sides-of-the-street collec-
  tion
• Fixed lunch site and time
• Collection by drivers
• Incentive schemes
• U-turns and vehicle backing
• Filling vehicles before going to disposal site

  After policies and methodologies have been
reviewed and revised and the collection areas
have been assigned to disposal facilities (macro-
routing), districting and route balancing must
be performed. The key to  districting and route
balancing is determining  a  fair day's work—
the  reasonable number of services each day
for each collection area. Calculating a fair day's
work reguires at least a sound estimate of the
average time spent to service a residence and
the amount of waste collected at the residence.
These figures can be used to derive the average
number of  residences that can be serviced for
each service area, the number of routes re-
guired, and the size of each  route to egualize
workloads. The route balancing process is de-
scribed more fully in a report entitled Disfricfing
and Route Balancing for So/id Waste CoJ7ecfion.4
  Once the equitable service numbers for each
route are  determined,  the community  is  first
divided into districts—one for each collection
day in the week. Districts also should conform
to manmade and natural barriers such as major
streets,  railroads, expressways, parks,  rivers,.
lakes,  gulleys,  and mountains.  Each district
then is  divided into routes—one for each collec-
tion crew.
  Micro-routing is  performed after  districting
                                                                                       13

-------
and at the same time the balanced routes are
developed. For example, once the service area
for Monday is defined, the micro-routing pro-
cedure is applied in a clustered area until the
predetermined number of services is developed
into a route. Then the next route is developed
starting in the area which is still unrouted. This
procedure continues until the  whole city is
routed. As the routing process continues, how-
ever, the originally selected districts may have
to be modified to achieve more efficient routings.
what data
are  required
for routing?
 All the information required for routing can be
 recorded on community maps. First, indicate on
 the community map(s) the  number and type
 (residential, apartment, commercial, institu-
 tional, industrial) of services per street segment
 for each side of the street. The remaining street
 segments with no services on them are non-col-
 lection segments. Next, identify all one-way,
 dead end, and heavily traveled streets. Indicate
 which corner-lot residents (if any) should be
 asked to place their waste on a specific street
 segment. Finally, indicate, for each street seg-
 ment or service area, whether the crews are to
 collect one or both sides of the street on a pass.
routing,
how is  it  done?
To help simplify the routing problem, it is often
helpful to reduce the grid by applying a grid
simplification technique (Figure 8). By this
method, the number of blocks in the grid are
reduced by combining blocks that have no serv-
ices on the common street segments which face
each other. The pattern and routing procedure
can then be applied to this simplified grid. Also,
by getting certain corner-lot  residents to place
their wastes on specific streets, it may be pos-
sible to eliminate the need to traverse the ad-
joining  street.  By  encouraging neighboring
residents to place  their wastes together, the
collection time can be speeded, and just as im-
portant, the stop-and-go wear  on the  vehicle
will be reduced thus extending its life.
  Using the marked  map, pick a starting point
and link the street segments in each district into
a continuous route by  applying the heuristic
rules and patterns to systematically minimize
the dead distance and left turns. Terminate the
route when the number of services is about that
determined to  be reasonable for a fair day's
work.
  Determine the starting point for the next route
and repeat the routing procedure, again apply-
ing the heuristic rules and patterns until all the
services within the district have been routed.
Continue until all districts have been routed. As
with districting, the service boundaries for each
route should be determined by considering nat-
ural and manmade boundaries.
  For areas with significant seasonal fluctua-
tions in waste  generation,  the most common
solutions are to increase the crew sizes, extend
the work day (pay  overtime), or add a crew
to the reservoir area for peak periods. Another
alternative is to shorten each route (i.e., lessen
the collection task)  and add crews. This kind
of adjustment can be readily accomplished in
two ways:  (1)  by  designing one continuous
collection route for each day of the week or area
and then assigning crews to  distinct sections of
the continuous route based  on the previously
determined number of services per route; or (2)
by establishing different routes for each season
of the year. The second method is generally the
better of the two.
14

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     CD
     O
     CO
               Dept.of Public Works
                                      -\-
Figure 8. Grid simplification technique. Blocks with no services on common
street segments are combined before routing. All  of the daily grids in the
Huntington Woods example in this report are easily simplified by this technique.
This figure shows the Friday route.
                                                                                15

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In the pattern method of routing, the  first step
is to identify the garage and disposal  site loca-
tions, heavily traveled streets, one-way streets,
and street segments with services  (Figures 9
and 10). The garage location is shown on each
example, and  for  simplification, assume  no
heavily traveled or one-way streets exist and
all  street segments have services on them.
  The next step is to identify block patterns and
pick a starting point nearest the garage. In the
four- and three-block patterns, the solution is
obtained by connecting the patterns together as
well as possible through a trial-and-error (heu-
ristic)  process (Figure  9).
  In the 4X4 combination of the four-block con-
figuration, and  variations  of  the three-block
configuration, again the solution is obtained
through a trial-and-error process  of connecting
the patterns into a continuous route (Figure 10).
           GARAGE
                                                                          SAMPLE
                                                                          PROBLEM
                                                                          GRID
             Figure 9.  Example showing pattern method of routing. This solution has no
             dead distance and two left turns.
16

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GARAGE
                                                               PATTERNS
                                                               IDENTIFIED
;
GARAGE
••— ^
START V...
FINISH
i




'




^,















i





^,


I



l




•__-







j
j


j




1

L











k



1
''
)
J




'











                                                              PATTERNS
                                                              CONNECTED
                                                              INTO CONTINUOUS
                                                              ROUTE
      Figure 9.  Example showing pattern method of routing. This solution has no
      dead distance and two left turns.
                                                                                    17

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       GARAGE
       GARAGE
        GARAGE
                                   SAMPLE PROBLEM GRID
                                    PATTERNS IDENTIFIED
            Figure 10.  Example showing pattern method of routing. This solution has no
            dead distance and 10 left turns.
18

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The way in which change is implemented is,
of course, as important as  the evaluation and
design phases that precede it. People generally
resist change, even if it is beneficial. A good
public education program  must, therefore, be
developed and tactfully applied to reduce this
natural resistance.
  As with most alterations in a solid waste col-
lection system, a  change in routing affects at
least three groups  of people:  (1) the solid
waste management  team,  (2) the  solid waste
collectors and  drivers, and (3) the public. A
public education program should properly in-
form each of these  groups about what is ex-
pected of them and  enlist their cooperation.
  The first group involved in rerouting and other
system changes is the solid waste management
team. The heuristic  approach is designed for
the solid waste managers  and  supervisors to
apply. Their participation in the routing  serves
several purposes.  First, it is apt to make them
feel that  the new system  is their system and
thus obtain their inherent support. Second, mem-
bers of the solid waste management team are
generally the persons, who,  besides the col-
lectors themselves, are most familiar with the
service areas and are thus best  qualified to
perform the routings. And third, management,
including supervisors or foremen,  must be fa-
miliar with the new routings and other changes
for supervisory, planning, and control purposes.
  The solid waste collectors and drivers should
be informed of all proposed changes to the col-
lection system and encouraged  to comment on
the effect of the changes on their  daily  opera-
tions. Their criticisms or suggestions for further
improvement are essential to  the final evalua-
tion by the management staff.  In  addition to
being a potential source of  pertinent input, the
workers' participation in reviewing the decisions
may be a useful managerial tool in that it helps
them feel a part of the new system.
  Several  mechanisms can elicit cooperation
from  the collection personnel  and ameliorate
employee morale during and after implementa-
tion. Unless wages are already rather high, an
increase may  be considered  in  light of the
increase in productivity (increased services per
hour). Or the increased productivity may be
rewarded by a new incentive system .e.g., the
task system versus the straight 8-hour day.
  To  orient drivers to the new routings,  each
should be given a personal notebook contain-
ing a map of each daily route  which he may
review and use during collection. Examples of
the maps are shown for the City of Huntington
Woods in the next section. The supervisor should
retain a file copy of the route notebook.
  Increased  efficiency, almost  by  definition,
means that fewer collectors will be required.
It also means that more services will  be col-
lected per  hour.  These  two factors, plus  an
understanding of the local labor relations situa-
tion, must be considered in determining when
to notify collectors of a proposed change in
their  system,  in  presenting the change  posi-
tively, and in  deciding if  the  collectors  will
assist in rerouting. Often,  however, increased
productivity can be  achieved with a reduced
labor force but, at the same time, a reduced
workload for the  remaining collectors.
  Citizens are directly affected  by changes in
the day and time of collection, the point of col-
lection, the frequency of collection, or the type
of storage device. In designing  a new system,
it is usually a good idea to minimize the num-
ber of citizens who will have to change their
day of collection, as demonstrated in the Hunt-
ington Woods rerouting example. These  citizens
must be notified of their new collection day and
lot residents should also be notified if they are
the date the change will take place. All affected
corner-lot residents should also be notified if
                                                                                          19
 537-034 O - 74 - 4

-------
they ore to place their waste on certain streets.
  All citizens in the community—even  those
whose collection day will not change—should
be informed that the solid waste collection serv-
ice is  being altered. Residents often  become
accustomed to collection at a specific time of
day and may set their waste out accordingly, or
frequently they relate their own time of collec-
tion with that of their neighbors  across  the
street or around  the corner, which may have
changed. Thus informing everyone should mini-
mize missed collections.
  City officials also should be apprised of the
proposed changes. Persuaded of these changes,
they often are important allies during the transi-
tion. Too, should they be approached by citi-
zens regarding the changes,  they should be
aware of what is taking place.
  The  most extensive education effort will be
directed toward the citizens. Several media are
available. One of the best is a: letter from the
mayor or city manager explaining the reasons
for the changes  and how  the  changes may
affect the citizens. Such a letter uses a soft-sell
approach, implies endorsement by the city man-
agement for the new system, and may include
a telephone number to call for further informa-
tion (Figure 11).
  Another good way to notify the citizens is
through flyers (Figure 12). The letter and flyers
shown here are similar to those used in Kansas
City, Missouri, during their effective implemen-
tation program for a change that took place in
March 1971. Note that the flyer is simple, yet it
gives all pertinent information. The map helps
residents conceptualize the collection area and
acts as a check to assure that  the flyer was
delivered in the correct area. In Kansas City,
the actual  cards were color-coded by day of
the week to assist in answering phone inquiries
from the citizens.
  Other methods that can effectively inform the
public include television and radio announce-
ments  and  articles and notices printed in local
newspapers. Even with  an initial multifaceted
information  program, complete  citizen  under-
standing and cooperation requires time and
patience. Interpersonal  contact may be bene-
ficial:  e.g.,  (1) extra office personnel and per-
haps  extra  telephone  extensions  to  receive
complaints  and  questions during the change-
over; or (2) personal interviews with specific
corner-lot residents. Finally, using  savings  as
they accrue from the new collection operations
to upgrade the cleanliness and appearance of
the trucks,  replace unreliable trucks, provide
uniforms for the  collectors, or improve the dis-
posal  situation  certainly helps  sustain good
public acceptance.
  The  next section is .a step-by-step account of
how the heuristic routing procedure was per-
formed in one of many communities that have
recently adopted this approach.
20

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                                                                                           Office of the Mayor

                                                                                           Julius C. Jones, Mayor
                            City of Anytown, USA
                            Heart of America
                                                               30th Floor, City Hall
                                                               Anytown, USA 64106
                            February 12, 1973
Councilman at Large

Joseph Hall
1st District

James Smith
2nd District

William Glenn
3rd District

Thomas Rose
4th District

Mark Jones
5th District

Paul Hogan
6th District
District Council men

Robert Phillips
1st District

Charles Connolly
2nd District

Alan Michaels
3rd District

Peter Bobbins
4th District

William White
5th District

James Myers
6th District
Dear Citizen:

On Monday, March 5, 1973, we will introduce a new City-wide refuse collection system designed to
decrease the City refuse budget while still providing the same level of service to you, the citizens.

This savings is made possible through the thorough evaluation of our refuse collection system using
the latest of management tools and implementing improved collection techniques.

The collection service will continue to be once-a-week curbside collection. We have, however,
revised the City ordinance to permit the use of plastic sacks, which we encourage you to use. En-
closed is a brochure explaining the advantages to you and to the City through the use of plastic
sacks, and some helpful hints on bag usage and refuse storage.

The only change affecting the citizens directly is a change for some in their day of collection. We
have tried to minimize the number of citizens that must change their day of collection.  This new
collection system means, however, that in most instances the time of day that the collectors collect
from each residence will change.  The enclosed map shows the day of collection for each area. Please
note when your new day of collection will be starting March 5.

Please help our sanitation men provide service to you during this  change-over by having your waste
put out by 7:00 a.m., the time they start to collect.

If you have any questions or suggestions, please call 684-4311.

Thank you for your cooperation in this effort.

                                              Sincerely,
                                              Julius C. Jones
                                              Mayor

               Figure 11.  Sample letter from a mayor to citizens notifying them of a change in
               collection system.
                                                                                                                    21

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Important  Notice

Beginning March 5, 1973
Your New Refuse Collection Day will be

tuesday
 There will be no collection on
 the following holidays:
May 28, 1973
September 3, 1973
October 8, 1973
October 22, 1973
December 25, 7973
February  78, 7974
 If a holiday is observed on Monday or
Tuesday, your collection day for that
week will be WEDNESDAY.

For information call 254-7417
         39th
                 38th
            63rd St.
       Public Works Department
       Refuse Division
       Anytown, U.S.A.
                       Important  Notice

                       Beginning March 5, 1973
                       Your New Refuse Collection Day will be

                       Wednesday

                       There w/H be no collection on
                       the following holidays:
May 28, 1973
July 4, 1973
September 3, 1973
October 8, 1973
October 22, 1973
December 25, 1973
February 18, 1974
                       If a holiday is observed on Monday,
                       Tuesday, or Wednesday, your collection
                       day for that week will be THURSDAY.

                       For information call 254-7417
                                                        63rd St.
                             Public Works Department
                             Refuse Division
                             Anytown, U.S.A.
          Figure 12. Flyers are effective media for informing citizens of changes in
          collection system.
 22

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 The Office of Solid  Waste  Management Pro-
 grams assisted the City of Huntington Woods,
 Michigan, in applying a heuristic approach to
 rerouting its solid waste collection vehicles. This
 section briefly characterizes the  community's
 existing collection system at the time study was
 initiated and  its new collection  system, and
 traces the development of its new collection
 routes.
  Huntington Woods  is a middle-class subur-
 ban community just outside Detroit. The popula-
 tion (1970 census) is 8,536, which  represents
 2,497 residences. From solid waste disposal rec-
 ords the average  solid waste generation rate
.was estimated to be  about 1.3 kg (2.9 Ib)  per
 capita per calendar day, or an average of about
 31.5 kg (70 Ib) of solid waste each week from
 each  residence.  Seasonal variations  in  the
 amount of solid waste, which must  be  consid-
 ered in designing  an efficient collection route,
 were  also determined before the rerouting
 study.


 evaluating

 existing  policies

 A thorough review and evaluation of the city's
 existing solid waste collection policies provides
 the basis for a "before and  after" comparison
 that reflects the increased efficiency of collec-
 tion system operations. Under both  the former
 and the new systems, the city provides weekly
 curbside collection service to all residents and
 to the city's few commercial  services. About 80
 percent of the city's residents use plastic bags
 for waste storage.  The city's collection  system
 formerly  used two  12.2-cu meter (16-cu-yd),
rear-loading packer trucks operated by two two-
man crews to collect one side of the street at a
time.
  The Huntington Woods city management per-
sonnel considered  a  rerouting program neces-
sary because they had acquired new collection
equipment. The city had purchased a one-man,
side-loading collection vehicle to replace one of
the older rear-loading packer trucks. During a
trial period, the replacement was able to finish
the collection routes in approximately 5 hours.
Thus, although the city had saved the equiva-
lent of 1 man-year in labor costs, the potential
for even greater savings through rerouting ap-
peared very promising.


compiling the data

The data required for rerouting the City of Hunt-
ington Woods included a series of three maps.
The first, prepared by the superintendent of the
Department of Public Works, was a detailed
street map of the city showing the number of
residential services  for each street  segment
(Figure 13). Note that it is important to cor-
rectly identify the number of services on each
side of a particular street segment and the lo-
cation of the Department of Public Works ga-
rage or motor pool. A separate city map  was
prepared to identify all one-way, heavily trav-
eled, and dead end streets (Figure 14).
  A third map identified those street segments
where no waste would be placed for collection,
i.e., undeveloped segments with  no services
and corner-lot  residences that do not face the
street (Figure  15).  By  correctly  designating
these segments, they can be eliminated from
the design of the collection route and thus help
                                                                                      23

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minimize the  dead distance in the individual
routes. In Huntington Woods, many such street
segments were identified by  asking residents
of corner lots  to place their waste on a specific
street segment (though in most cases  the cor-
ner-lot houses faced the desired street ^segment
and the waste was already being placed there).
  Figure 16 shows the former collection routes
before rerouting and  a breakdown of service
areas by day of the week. A comparison of
each truck's daily workload shows definite im-
balances between the two trucks and in the
general workload from day to day, even though
service density and the amount of waste per
service are similar for each route (Table 2).
On Monday, for example. Truck No. 1 serviced
281  residences and Truck No. 2 serviced 305
residences,  a  total of  586 services. On Friday,
however, these same  trucks collected 131  and
183 residences, respectively, a total of only 314
services. The  old collection routes were frag-
mented;  the Wednesday and  Thursday collec-
tion routes, for example, are  typical  of  both
fragmented and unbalanced routes that most
likely evolved with the development of the com-
munity  (Figure 16 ).
reviewing existing

and alternative
operations
At this point in the rerouting study the city
reviewed its existing collection system opera-
tions and identified possible alternatives. The
city management isolated four major areas of
the collection operation where possible alter-
natives existed. The areas, along with the alter-
natives, were:
1.  Equipment
   Side-loader, 22-cu-rneter (29-cu-yd),
     (one available)
   Rear-loader, 12.2-cu-meter (16-cu-yd),
     (two available)
2.  Crew size
   One-man, side-loader only
   Two-man, driver and one collector
   Three-man, driver and two collectors
3.  Level of service
   Curbside, once a week
   Carryout, once a week (requires additional
     personnel)
                                      TABLE 1
                       SEASONAL VARIATIONS IN SOLID WASTE COLLECTION
                           CITY OF HUNTINGTON WOODS, MICHIGAN

                                         Solid waste to be collected
            Season
                                Average wt/day
                                                      Average wt/ reiiidence/wlc
^
Winter
Spring
Summer
Fall
tonnes
10.6
15.0
18.2
19.2
tons
11.8
16.7
20.2
21.3
kg
21.2
30.1
36.4
38.3
Ib
47.2
66.8
80.8
85.2
                                       TABLE 2
                       HESIDENCES SERVICED BY DAY OF WEEK AND TRUCK
Residences serviced

Vehlclo
Truck No. 1
Truck No. 2
TOTAL

Mon.
281
305
586

Tues.
289
267
556

Wed.
220
328
548

Thur.
323
170
493

Fri.
131
183
314
Daily
Average
248.8
250.6
499.4
24

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                        AVMH3IH  33011000
ir
Figure 13.  Detailed community map of Huntington  Woods,  Mich., showing
services per street segment.
                                                                              25

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                                                               X-X- ftXtt!:j:.-X:X:X;:;X:X;:;:;-X*^
                                               A.VMHOIH aaa nooa



                          Figure 14.  Detailed community map showing special streets.
26

-------
                   Dept.of Public Works

      n>
      i-"
      01
      3

     f
     I
     s
No homes face these


streets (other than


corner lot residences)
                                                                                                                   SCALE OF  MILES
to
SI

-------
                                       AVMHDIH




                                  Figure 16.  Former collection routes.
28

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 4.  Collection methodology
    Collection from one side of street
    Collection from both sides of street
    Plastic bags as mandatory storage
      containers
  The city management felt that the existing
level of service  (curbside, once a week) and
collection policy (collecting from  one side of
the street and voluntary use of plastic bags)
was the best of the alternatives considered. With
respect to  equipment  and crew size, the city
management wished to fully utilize the new one-
man collection vehicle and collect any remain-
ing  waste  using a rear-loading packer truck
with a two-man  crew. Thus  the collection sys-
tem was defined by the city, and all that re-
mained was the design of the collection routes.
  Some additional data were required  before
the  actual heuristic routing could be started.
The average round trip time to the disposal site,
average time per service, average number of
services per  street mile, and average weight
per service are all important parameters in the
design of any efficient collection route and can
be obtained by using a daily collection activity
report. In Huntington Woods, the average round
trip time to the  disposal site is 45 minutes; the
average time per service during peak generation
periods is 0.5 minutes and the average weight
per service during the peak generation period
is 38.2 kg (85 Ib) per residence per week.
  To determine the total number of  collection
routes required, the total number of residences
(2,500) was divided by 5 (maximum number
of possible collection days), which resulted in
a daily workload of 500 services. Thus, using
an average 0.5 minutes per service, an average
of 250 minutes per day, or about 4.25  hours per
day, would be  required to collect waste from
500 residential services during the peak season.
The low collection time of only 0.5 minutes per
service is largely due to the use of plastic bags
by 80 percent of the residents. One-way bags
reduce collection time per service.
  Using the peak solid waste generation rate of
38.2 kg (85 Ib) per residential service, the total
weight collected from 500 services should be
about 19.12 tonnes (21.25 tons)  per  day.  The
city's one-man collection vehicle has a 22-cu-
meter (29-cu-yd) capacity which can handle
payloads of up to 7.2 tonnes (8 tons) or 326
 kg/cu meter (550 Ib/cu yd). Thus during the
 peak season, with an average  of 19.2 tonnes
 (21.25 tons) of solid waste to be collected and
 a collection vehicle with an average payload
 of 7.2 tonnes (8 tons), three trips to the disposal
 site are required. At the average 45 minutes per
 trip, the total time required for three trips to the
 disposal site is 2.25 hours per day.
   The city policy allows two 15-minute coffee
 breaks per day and a 30-minute lunch period.
 The lunch break is not paid time  and can be
 taken at the convenience of the collector. Times
 are apportioned for the various activities of the
 collection operation, based on 500 services per
 day and the one-man collection vehicle (Table
 3). The 1-hour variance allows  for day-to-day
 variations in waste generation, unusual delays
 at the disposal site, and adverse weather con-
 ditions. From the data analysis, the solid waste
 collection routes for the City  of Huntington
 Woods  should be designed to include approxi-
 mately  500 residential services per route.
determining the

new  routes

Because the number of services per collection
route is the single most important parameter in
designing an  efficient  collection route, at this
point in the routing study the extrapolated aver-
age number of services should be verified. In
Huntington Woods,  the  existing Wednesday
collection routes serviced 548 residences; there-
fore the two were combined and selected as a
test route for the one-man collection vehicle. All
548 residences were adequately serviced in less
than the 8-hour work day. Thus the proposed
500 services per route appeared to be a very
reasonable workload for the new collection sys-
tem configuration.
  The City of Huntington Woods was rerouted
manually using the heuristic approach (Figure
17). A comparison of past and present collec-
tion routes dramatically depicts the changes in
service  areas  by day  of the week and route
assignment (Figures 16 and 17). A comparison
of the performance of the former collection sys-
tem  and the new rerouted collection system
shows that Truck No. 2, a rear-loading packer
                                                                                       29

-------
truck, has been completely eliminated and that
Truck No. 1, the one-man  collection vehicle, is
servicing  the entire  city (Table 4). The new
collection routes are continuous, balanced, and
not fragmented or overlapping.
  New  street-by-street collection routes  were
developed for the Monday through Friday serv-
ice areas (Figures 18 through 22). The previ-
ously outlined heuristic rules and patterns, and
a systematic approach were the basis for the
design  of all the collection routes.  Note that
since the route is continuous, the collector may
leave the route for a trip to the 'disposal site
whenever his vehicle is fully loaded and simply
return to  the point  of  departure  to continue
collection.

implementation
considerations

Successful implementation of the proposed col-
lection routes depended upon securing the sup-
port of the collection personnel and the citizens
          of the community.
            The collection personnel were directly in-
          volved in and contributed to the rerouting study
          by providing much of the required data and by
          reviewing the proposed changes. The collector
          was given a complete route book graphically
          describing the service area for each day of the
          week and street-by-street routing of his vehicles
          (Figures 18  through 22).  The added respon-
          sibility of operating the new one-man collection
          vehicle and  the increased number of services
          justified a wage raise. Displaced collection per-
          sonnel were reassigned to other areas of the
          Department of Public Works.
            To balance the service areas into egual work-
          loads, only simple changes in the service area
          boundaries were required, thus minimizing the
          areas of the city where the day of collection was
          changed  because  of rerouting  (Figure  23).
          Only 275 residences, or about 11 percent of the
          total residences in the city, were affected by a
          change in the day of collection.  A letter from
          the office of the city manager informed these
          residents of  the change in collection day and
          requested their cooperation.
                                        TABLE 3
                      TIME REQUIRED FOR VARIOUS COLLECTION ACTIVITIES
                       Activity
             Average time required
                   (hr)
                      Collection
                      Disposal
                      Coffee break (2)
                      Variance
                   4.25
                   2.25
                    .50
                   1.00
                         TOTAL
                                                         8.00
                                        TABLE 4
                     RESIDENCES SERVICED: OLD AND NEW COLLECTION ROUTES
                                                  Residences serviced
               Route
                                     Mon.
                                              Tues.
                                                      Wed.
                                                               Thur.
                                                                        Fri.
Former collection routes:
Truck No. 1
Truck No. 2
TOTAL

281
305
586

289
267
556

220
328
548

323
170
493

131
183
314
             New collection routes:
                Truck No. 1
                Truck No. 2
                   TOTAL
500
  0
500
492
  0
492
494
  0
494
517
  0
517
494
  0
494
 30

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    AVMH9IH 39011003
Figure 17.  New collection routes.
                                                                  31

-------
                                      \
Tt
                                       FINISH
                                                                            START
                  Figure 18. Monday collection route: 500 residences; five left turns.
32

-------
Figure 19.  Tuesday collection route:  492 residences; six left turns.
                                                                                 33

-------
                       FINISH
                                 I         15    f  \    \3~~    I
                                 I   "          I  I           ta  |
       •n
         GOLF COURSE

      "START
Figure 20. Wednesday collection route: 494 residences; one left turn.
      ELEVEN MILE  ROAD
D

D
H
D




:
i
li
1

1

14
KINGSTON 17
17
LA SALLE is
15
BORGMAN 16
T6
TALBOT 15
fc 114
\ HART is
1 \
\
START









1 1
16
17
16
, 14
1 5
1 5
16
1 1 4
I * 5







5

L 	 :"

8 I
16 1
16 -1
16 ij
1 6 :
1 6 :
1 6 \j
16 J
I 16 / j;
4 t:
/ a
' / i
FINISH |
i
4
1 1
14
1 1
17

5
l^^MBM
6
1 1
-y
*,,
0
1—
C9
z
12^
a:
14
"I
'/
/ i

7
                                                              1 rn »-

                Figure 21.  Thursday collection route: 517 residences; five left turns.
34

-------
     Dept.of  Public  Works
FINISH
JSTART
 :VEN MILE ROAD
LINCOLN 8\
VERNON 7
     Figure 22.  Friday collection route: 494 residences; 16 left turns.
                                                                  35

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             r
AVMHDIH 33011003
36
              Figure 23.  Area  of Huntington  Woods in  which the day  of collection  was
              changed because of rerouting.

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effectiveness  of the
micro-routing
program
Because micro-routing is the last system design
step in the five-stage improvement process and
other changes usually take place at the same
time, it is difficult to isolate how much of the
resultant savings are  attributable solely  to
micro-routing.
  In the case of Huntington Woods, for example,
three separate changes ensued. First,  in 1970,
two three-man crews were reduced to two two-
man crews. Then, in August 1971, these crews
were further reduced to one two-man crew and
one one-man crew. Soon thereafter,  the  heu-
ristic routings were designed for the one-man
crew with the two-man crew being eliminated.
However, one of the two-man crew was retained
as a spare as explained below. The total work
force therefore was reduced from six to two
men; the number of collection vehicles was re-
duced from two to one.
  Since only the last of the three changes was
achieved predominantly through the heuristic
routings, the effectiveness of the heuristic rout-
ing program is measured by the reduced costs
to the City of Huntington Woods from this third
change.
  From 1971 to 1972 the average hourly labor
wage increased from $4.42 to $4.77, or 7.9 per-
cent, and the total tonnage collected increased
from 3,886 tor^ies  (4,318 tons) to 4,062 tonnes
(4,513 tons), or 4.5 percent. But the total labor
charges decreased from $31,309 to $23,700, or
24.3 percent. These labor costs reflect the elim-
ination of one man on the  two-man crew, since
one individual was retained to fill in for vaca-
tions, etc., and for street sweeping and a  new
separate  collection of  newspapers.  Since the ,
change occurred in the fall of  1971 to distort
the 1971 figure, the actual savings in total labor
wage reflects a  28-percent  reduction, from
$32,738 to $23,700.  Over the  3-year  period, of
course, the total savings to Huntington Woods
have been much higher.
  The effort involved in rerouting the City of
Huntington Woods was minimal in view of the
cost reductions. The public works superintendent
reported that  he spent "one  day  off and on"
gathering the required information. The authors
of this report  spent one day  (two man-days)
designing  the routes and  preparing the route
book showing each service area and route. The
total effort was less than three man-days.
                                                                                     37

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To  see modem  scientific management tech-
niques applied to solid waste management sys-
tems is encouraging. Yet, in the case of micro-
routing,  a less  sophisticated,  common-sense
approach—the heuristic approach—often is suf-
ficient.  This approach  has the advantage  of
being a simple tool that can be readily learned
and applied by local  operating personnel.  In
addition, it avoids the high cost of existing com-
puter models and gives more flexibility to the
routing—a necessity, since communities  and
routes are so variable.  The use of computers or
computer models is not to be discredited. Com-
puters have proved useful to solid waste man-
agement for billing systems, for storing and
manipulating information ([the Management In-
formation System for Solid Waste Collection,
for example), and for models for more complex
procedures such as macro-routing.
  The major problem in routing today is that
very few communities or collection agencies
have ever studied their routings and attempted
to improve them. Now  that a straightforward,
heuristic approach has been developed, more
communities can pursue the lower  costs and
better service that potentially exist for them.
  Huntington  Woods  was  a forerunner,  but
other communities have since used the heuristic
approach to routing their solid waste collection
vehicles:

  Akron, Ohio
  Beverly Hills, Mich.
  Birmingham, Mich.
  Clawson, Mich.
  Des Moines, Iowa
  East Peoria, 111.
  Fall River, Mass.
  Flint, Mich.
  Hot Springs, Ark.
  Huntsville, Ala.
  Lathrup Village, Mich.
  Little Rock, Ark.
  Portland, Maine
  Royal Oak, Mich.
  St. Petersburg, Fla.

  Each of  these cities  has realized substantial
savings or increased the level of service. Again,
not all of  the savings" necessarily can be at-
tributed to the heuristic routing alone.
Experience is the best teacher of routing pro-
cedures. To provide some practice for the reader,
this section contains three exercises to familiar-
ize the prospective router  with the heuristic
routing techniques. See Figures 24, 25, and 26;
each figure is a map that includes all the neces-
sary  information  and instructions to  develop
a route. Figure 24 shows a simple block con-
figuration for one route; Figure 25 shows the
same block configuration complicated by two
one-way streets.  Figure  26  shows  a complex
street layout covering two routes.  Figures 27
through 29 present solutions to  the exercises.
38

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7
3 2
8

8
3 5
8

5


16 17


6

9
3 1
8

10
2 2
11









2


18 20

3

6
4 3
5
I 7 I
12 l|
I 8 I







9
5 6
8

7
4 2
8








5
1 2
6

7
2 1
7

6
I 1 1
1 7









8
4 3
7

9
2 1
8

10
2 1
10
GARAGE




 Figure 24.  Exercise example: 373 residences; two-way streets.
                                                                             39

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7
3 2
8




8
3 5
8

5


16 17



6

g
3 1
8

10
2 2
11




\
>.
2


18 20


3

6
4 3
5



7
2
8






i.
g
5 6
8

7
4. 2
8
> •*

ui
z
o







5
1 2
6

7
2 1
7

6
1 1
7
z
0
1







8
4 3
7

g
2 1
8

10
2 1
10
                      GARAGE          «START




                      Figure 25. Exercise example: 373 residences; one-way streets.
40

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Figure 26.  Exercise example:  997 residences; two collection routes.
                                                                                41

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             START
                                10
                        FINISH
                        I GARAGE
                                                 T8
                                        17
              Figure 27.  Solution to exercise example,  Figure 24. Includes 6 left turns, no
              dead distance.
42

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7
• 3 2
8
1 < >.
8
. .3- 5
8
\.
5


. 16 17


6
I ^
9
k 3 1
8
n 	 — * 	 — '
110
•2 2
11
*


. ^

/



S,

„ J
f

>
0)
S'
,
'







< 1
t
2



J8 20

3

6
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5
	 4 	 >_
5
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7

6
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	 *-. 	 _


•r

\





r •
0
V
0
f t



r •



r '


	 r 	
7
2 1 '
8
* 	 < 	 1
9
,5 6 -
8
^ 	 * 	
	 » .
7
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8
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	 ^ "I
8
4 3,
7
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8
c \
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10
• — t 	 — -
     • GARAGE
Figure 28.  Solution to exercise example, Figure 25. Includes 14 left turns; dash
lines represent dead distance.
                                                                                       43

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   ROUTE 1: 488 RESIDENCES, 17 LEFT TURNS.
   ROUTE 2: 509 RESIDENCES, 17 LEFT TURNS.
             CAN START AND FINISH AT
             EITHER POINT A OR B.
            Figure 29.  Solution  to  exercise example, Figure 26.  Route  1  serves 488
            residences; route 2 serves 509 residences. Each entails 17 left turns.
44

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              Shuster, Kenneth A. and Dennis A. Schur. Heuristic flouting for Solid
                Wasfe Collection Vehicles, U.S. Environmental Protection Agency,
                1974.
                The development and successful application of a heuristic procedure
              for routing solid waste collection vehicles is described. Topics include
              (1) the value of routing, (2) reasons for rerouting, (3) advantages of
              the heuristic approach, (4) heuristic rules, data requirements, and rout-
              ing procedures, (5)  factors to  consider when implementing this ap-
              proach. An actual example and exercises are included to show the rela-
              tive ease of application and to familiarize the reader with the heuristic
              approach to the routing of solid waste collection vehicles.
V0856
              1. Bowman, E. H., and R. B. Fetter. Analysis for production and opera-
                 tions management. 3d ed. Homewood, 111., Richard D. Irwin, Inc.,
                 1967. p. 452.
              2. Shuster, K. A. Management information system for residential solid
                 waste collection. (In preparation.)
              3. Shuster, K. A. Policies and methodologies for solid •waste collection.
                 (In preparation.)
              4. Shuster, K. A., and D. A. Schur. Districting and route balancing for
                 solid waste collection. (In preparation.)
                  U. S. GOVERNMENT PRINTING OFFICE : 1974 O - 537-034
                                                                                         45

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