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    Transportation

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    A brief:

    1941: F.L. Hitchcock

    The distribution of a product from severalsources to numerous localities

    1947: T.C.Koopmans

    Optimal utilization of the TransportationSystem

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    What transportation model is:Typically arise in situations involving physical

    movement of goods from plants to warehouses,

    warehouses to wholesalers, wholesalers to retailers and

    retailers to customers.

    Solution requires the determination of how many units

    should be transported from each supply origin to eachdemand destination in order to satisfy all the

    destination demands while minimizing the total

    associated cost of transportation.

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    Contd. The same problem could be of

    maximizationtoo. Example given:Distributionof financial resources tothevarious available options.

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    Mathematical model of

    Transportation Problem

    The mathematical model represents

    the formulationoftransportationproblem oftransporting singlecommodity from various sources of

    supplyto various demanddestinations.

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    Solution of Transportation problem

    The solution is carried out in two phases.

    1. Initial solution is found by variousmethods

    2. Test the solution for optimality by using

    MODI method or the Stepping stone

    method.

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    Solution Procedure:The problem is solved, in general, by using the step-by-step

    procedure:

    1. Define the objective function to be minimized with the

    constraints imposed on the problem.

    2. Set up the transportation table with m rows representing the

    sources(plants, factories, etc) and n columns representing the

    destinations (warehouses, stores, markets, etc)

    3. Develop an initial feasible solution to the problem.

    4. Examine whether the initial solution is feasible or not. The

    solution is said to be feasible if the solution has allocations in

    (m+n-1) cells with independent positions.

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    The cells having allocations are known as occupied

    cells and the remaining cells are known as empty or

    unoccupied cells.

    Test whether the solution is optimal or not. This is

    done by computing opportunity costs associated with

    the empty cells. Positive opportunity costs for all theempty cells signifies optimal solution.

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    Finding an Initial Feasible Solution:There are several methods available to obtain

    an initial solution.

    The North-West Corner Method(NWCM) Lowest Cost Entry Method

    Vogels Approximation Method.

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    North WestCorner Method(NWCM)

    It is so called because we begin with the

    north-west corner or upper left corner cell

    of our transportation table.

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    Contd.

    Area of Application:

    1.

    It is used in case of transportation withinthe campus of an organization as cost are

    not significant.

    2. It is used for transportation to satisfy such

    obligations where cost is not the criteria.

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    LeastCostMethod(LCM)

    The allocation according to this method is

    very useful as it takes into consideration the

    lowest cost and therefore, reduces the

    computation as well as the amount of time

    necessary to arrive the optimal solution.

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    V

    ogels Approximation Method(VAM):

    Vogels approximation method (penalty or regret

    method) is a heuristic method and is preferred to

    the other two methods, because it gives an initialsolution which is nearer to an optimal solution or

    is the optimal solution itself. Each allocation is

    made on the basis of the opportunity cost that

    would have incurred if allocation in certain cellswith minimum unit transportation cost were

    missed.

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    Contd.Area of Application:

    1. It is used to compute transportation routes in

    such a way as to minimize transportation costfor finding out locations of warehouses.

    2. It is used to find out locations of transportation

    corporations depots where insignificant total

    cost difference total cost difference may notmatter.

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    The AssignmentProblemThe objective is to assign a number of

    resources(items) to an equal number of

    activities on a one to one basis so as to

    minimize total costs of performing the tasks

    at hand or maximize total profit of

    allocation.

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    Applications of Assignment Assign salesperson to sales territories

    Assign vehicles to routes

    Assign accountants to client accounts

    Assign contracts to bidders through systematic evaluationof bids from competing suppliers.

    Assign development engineers to several constructionsites.

    Schedule teachers to classes. Teams are matched to projects by the expected cost of each

    team to accomplish each project.

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    Complete Enumeration Method

    Simplex Method Transportation Method

    Hungarian Method (Minimization Case)

    Solutions of AssignmentProblem

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    Complete Enumeration MethodAll possible assignments are listed out and

    the assignment involving the minimum cost,

    time or distance (or maximum profit)is

    selected. It represents the optimal solution.

    In case two or more assignments have the

    same minimum cost, time or distance(ormaximum profit), then the problem has

    multiple optimal solutions.

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    Simplex Method An assignment problem can be formulated

    as a linear programming problem an as such

    can be solved by the simplex algorithm.

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    Transportation Method Assignment problem could be solved as a special

    case of Transportation problem but the optimality

    condition for the solution violates as m+n-1 basicvariables in transportation that will be n+n-1 or

    2n-1 basic variables of assignment will not be

    there as only n basic variables will be available in

    an assignment solutions. So a large number ofdummy rows need to be introduced and that will

    make transportation problem conceptually

    inefficient.

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    Step 1In a given matrix subtract the smallest element

    in each row from every element of that row and

    do the same in the column.

    Step2In the reduced matrix obtain from step 1,

    subtract the smallest element in each column

    from every element of that column

    Hungarian Method

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    Step 3

    Make the assignment for the reduced matrix obtainedfrom step 1 and step 2

    (all the zeros in rows/columns are either marked()or (x) andthere is exactlyone assignment in eachrow and each column. In such a case optimumassignmentpolicy for the given problem is obtained.

    Ifthere is row or column withoutanassignmentgotothe nextstep.

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    Step 4

    Draw the minimum number of vertical andhorizontallines necessaryto cover all the zeros inthe reducedmatrix obtained from step 3 by adopting thefollowing procedure.

    (i) mark() all rows thatdonothave assignments (ii) Mark () all columns (notalready marked) which

    have zeros inthe marked rows (iii) Mark () all rows (notalready marked) thathave

    assignments in marked columns (iv) Draw straight lines through all unmarked rows

    and marked columns

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    Step 5

    Ifthe number of lines drawn are equal tothe

    number of rows or columns, then it is anoptimum solution ,otherwise goto step 6Step 6

    Selectthe smallestelementamong all the

    uncovered elements. Subtractthis smallestelementfrom all the uncovered elements an addittothe elementwhich lies atthe intersectionoftwo line. Thus we obtain another reducedmatrix for fresh assignments.

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    Step 7

    Gothe step 3 and repeatthe procedure until

    the umber of assignmentbecome equal tothe number of rows or columns. In such acase, we shall observe thatrow/columnhasan assignment.Thus, the currentsolution isanoptimum solution.