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Transportation, Assignment and Transshipment Problems

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Title: Transportation, Assignment and Transshipment Problems


1
Chapter 4
  • Transportation, Assignment and Transshipment
    Problems

2
Description
  • A transportation problem basically deals with the
    problem, which aims to find the best way to
    fulfill the demand of n demand points using the
    capacities of m supply points. While trying to
    find the best way, generally a variable cost of
    shipping the product from one supply point to a
    demand point or a similar constraint should be
    taken into consideration.

3
Formulating Transportation Problems
4
Formulating Transportation Problems
  • we have to determine how much electricity is sent
    from each plant to each city
  • Decision Variable
  • Xij Amount of electricity produced at plant i
    and sent to city

5
Objective function
  • minimize the total cost of shipping from plants
    to cities
  • Minimize Z 8X11 6X12 10X139X14
  • 9X21 12X2213X237X24
  • 14X31 9X3216X335X34

6
  • Supply Constraints each supply point has a
    limited production capacity
  • X11X12X13X14 lt 35
  • X21X22X23X24 lt 50
  • X31X32X33X34 lt 40
  • Demand Constraints each supply point has a
    limited production capacity
  • X11X21X31 gt 45
  • X12X22X32 gt 20
  • X13X23X33 gt 30
  • X14X24X34 gt 30

7
  • Sign Constraints negative amount of electricity
    can not be shipped all Xijs must be non
    negative
  • Xij gt 0 (i 1,2,3 j 1,2,3,4)

8
LP Formulation of Powercos Problem
  • Min Z 8X116X1210X139X149X2112X22
  • 13X237X2414X319X3216X335X34
  • S.T.
  • X11X12X13X14 lt 35 (Supply
    Constraints)
  • X21X22X23X24 lt 50
  • X31X32X33X34 lt 40
  • X11X21X31 gt 45 (Demand Constraints)
  • X12X22X32 gt 20
  • X13X23X33 gt 30
  • X14X24X34 gt 30
  • Xij gt 0 (i 1,2,3 j 1,2,3,4)

9
General Description of a Transportation Problem
  • A set of m supply points from which a good is
    shipped. Supply point i can supply at most si
    units.
  • A set of n demand points to which the good is
    shipped. Demand point j must receive at least di
    units of the shipped good.
  • Each unit produced at supply point i and shipped
    to demand point j incurs a variable cost of cij.

10
Xij number of units shipped from supply point i
to demand point j
11
Balanced Transportation Problem
12
Balancing a TP if total supply exceeds total
demand
  • If total supply gt total demand,
  • adding dummy demand point.
  • Since shipments to the dummy demand point are not
    real, they are assigned a cost of zero.

13
Balancing a transportation problem if total
supply is less than total demand
  • If total supply lt total demand (no feasible
    solution)
  • one or more of the demand will be left unmet.
  • a penalty cost is often associated with unmet
    demand

14
Methods to find the bfs for a balanced TP
  • There are three basic methods
  • Northwest Corner Method
  • Minimum Cost Method
  • Vogels Method

15
Northwest Corner Method
16
Minimum Cost Method
  • begin the minimum cost method, first we find the
    decision variable with the smallest shipping cost
    (Xij).
  • Then assign Xij its largest possible value, which
    is the minimum of si and dj
  • Cross out row i and column j and reduce the
    supply or demand of the noncrossed-out row or
    column by the value of Xij.
  • Choose the cell with the minimum cost of shipping
    from the cells that do not lie in a crossed-out
    row or column and we will repeat the procedure.

17
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18
Vogels Method
  • computing each row and column a penalty.
  • penalty difference between the two smallest
    shipping costs in the row or column.
  • Identify the row or column with the largest
    penalty.
  • Find the first basic variable which has the
    smallest shipping cost in that row or column.
  • Then assign the highest possible value to that
    variable, and cross-out the row or column as in
    the previous methods.
  • Compute new penalties and use the same procedure
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