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• The Transportation models were originated in
1941, when F.L. Hitchcock presented a study
entitled “The Distribution of product from
several sources to Numerous Localities.”
• This presentation is thought to be the first
important contribution to the solution of
Transportation problems
• Transportation problem is a particular class of
LPP.
• It deals with the situation in which a product
is shipped from sources to destinations.
• This model deals with the determination of a
minimum cost plan for transporting a single
commodity from a number of sources to a
number of destinations.
• The transportation problems can be extended
in a direct manner to cover practical situations
in the areas of :
1. inventory control,
2. employment scheduling,
3. personnel assignment,
4. scheduling dam reservoir levels,
5. and many others.
Objective
• The Transportation Problem is one of the sub-
classes of L.P.Ps. in which the objective is to
transport various quantities of a single
homogeneous commodity, that are initially
stored at various origins, to different
destinations in such a way that the total
transportation cost is minimum.
• To achieve this objective we must know the
amount and location of available supplies and
the quantities demanded.
• In addition, we must know the costs that
result from transporting one unit of
commodity from various origins to various
destinations.
MATHEMATICAL FORMULATION OF THE PROBLEM:
Transportation Tableau :
STEPS TO SOLVE TRANSPORTATION
PROBLEM
• Step 1: FORMULATE THE PROBLEM IN
STANDARD FORMAT
• Step 2: GET THE INITIAL FEASABLE SOLUTION
1. North West Corner Method
2. Least Cost Entry Method
3. Vogel’s Approximation Method
• Step 3: Test the Optimality of the Initial Feasible
Solution using :
1. Stepping Stone Method
2. Modified Distribution Method (MODI)
3. If the solution is optimal stop
• Step 4 Revise the solution if not optimal
• Test again its optimality till we get the optimal
solution
Model 1. (Cost Matrix or
Minimisation Problem]
Transportation problem 1
Transportation problem 1
Transportation problem 1
Transportation problem 1
Transportation problem 1
Transportation problem 1
Transportation problem 1
Transportation problem 1
Transportation problem 1
Transportation problem 1
Transportation problem 1
Transportation problem 1
Transportation problem 1
Transportation problem 1
Transportation problem 1

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Transportation problem 1

  • 1.
  • 2. • The Transportation models were originated in 1941, when F.L. Hitchcock presented a study entitled “The Distribution of product from several sources to Numerous Localities.” • This presentation is thought to be the first important contribution to the solution of Transportation problems
  • 3. • Transportation problem is a particular class of LPP. • It deals with the situation in which a product is shipped from sources to destinations. • This model deals with the determination of a minimum cost plan for transporting a single commodity from a number of sources to a number of destinations.
  • 4. • The transportation problems can be extended in a direct manner to cover practical situations in the areas of : 1. inventory control, 2. employment scheduling, 3. personnel assignment, 4. scheduling dam reservoir levels, 5. and many others.
  • 5.
  • 6. Objective • The Transportation Problem is one of the sub- classes of L.P.Ps. in which the objective is to transport various quantities of a single homogeneous commodity, that are initially stored at various origins, to different destinations in such a way that the total transportation cost is minimum.
  • 7. • To achieve this objective we must know the amount and location of available supplies and the quantities demanded. • In addition, we must know the costs that result from transporting one unit of commodity from various origins to various destinations.
  • 8. MATHEMATICAL FORMULATION OF THE PROBLEM: Transportation Tableau :
  • 9. STEPS TO SOLVE TRANSPORTATION PROBLEM • Step 1: FORMULATE THE PROBLEM IN STANDARD FORMAT • Step 2: GET THE INITIAL FEASABLE SOLUTION 1. North West Corner Method 2. Least Cost Entry Method 3. Vogel’s Approximation Method
  • 10. • Step 3: Test the Optimality of the Initial Feasible Solution using : 1. Stepping Stone Method 2. Modified Distribution Method (MODI) 3. If the solution is optimal stop • Step 4 Revise the solution if not optimal • Test again its optimality till we get the optimal solution
  • 11. Model 1. (Cost Matrix or Minimisation Problem]