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The Transportation Method of Linear Programming

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The Transportation Method of Linear Programming Clarke Holdaway 11/3/11 Create this table with your plant locations(origins) vertically in the left column and store ... – PowerPoint PPT presentation

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Title: The Transportation Method of Linear Programming


1
The Transportation Method of Linear Programming
Clarke Holdaway 11/3/11
2
Presentation Overview
  • The Transportation Method of Linear Programming
    defined
  • Why it can be useful
  • How it works
  • Real life example
  • Exercise
  • Summary
  • Brainstorming Exercise
  • Recommended readings list

3
The Transportation Method of Linear Programming
  • Definition A special linear programming method
    used to solve problems involving transporting
    products from several sources to several
    destinations

4
How is the Transportation Method of LP Useful?
  • Adaptable
  • Flexible
  • Very fast
  • Easy
  • Lean

5
How it Works
  • A linear function subject to constraints is used
    to minimize an objective, in this case cost
  • The constraints that must be met are
  • supply must meet demand
  • supply cannot exceed capacity
  • Microsoft Excels Solver

6
How it Works An Example
  • You are the logistics manager for a company that
    manufactures widgets.
  • Plants in Torrance, Fresno, and Mexicali can
    supply 180, 300, and 240 pallets of widgets.
  • Stores in Riverside, San Diego, Oakland, and
    Phoenix demand 280, 80, 200, and 140 pallets of
    widgets each.

7
Step 1 Table Set-up
  • Using Microsoft Excel, set up a from/to shipping
    table.

8
  • Now, on the right of your from/to table add
    columns for supply capacity, pallets supplied,
    and excess supply.
  • Input the widget supply capacity for each plant.

9
  • Input a simple formula in the pallets supplied
    cell that sums the from/to cells for each plant
    location.

10
  • Next, in the excess supply box for each plant you
    want to input a simple formula subtracting the
    pallets supplied from the supply capacity.

11
  • Next, we want to add demand, shipped, and cost
    rows on the bottom of the table.
  • Input the demand that corresponds to each store
    location in the demand row.

12
  • In each shipped cell, enter a formula that adds
    up the three cells for the corresponding store
    location.

13
Step 2 The Cost Formula
  • This is one of the trickiest parts. You are
    going to create a large formula in the cost cell.
    You will need the cost table.
  • In the formula, you will multiply the cost per
    pallet shipped of every from/to intersection by
    the corresponding from/to intersection in the
    shipping table.
  • You will do this for every intersection and add
    all of the products together.

14
  • It should look something like this at first. See
    how the cost table from/to intersection(C29) is
    multiplied by the shipping table from/to
    intersection(C20).
  • That product is then added to the next
    intersection product (C29C20 C30 C21)

15
  • You continue this formula until you have covered
    every cost and shipping intersection product.
  • It should look like this

16
Step 3 Solver
  • Now that the shipping table and cost formula are
    all set up, we will use Microsoft Solver to
    optimize our shipping and minimize the cost.

17
  1. Set your objective as the cost cell.
  2. Set to Min
  3. By changing variable cells all of the from/to
    shipping cells

18
  • Now we need to indicate two constraints.
  • a. customer demand must equal shipped

19
  • b. pallets supplied must be lt supply capacity

20
  • 5. We need to make sure two options are set
  • a. check make unconstrained variables
    non-negative
  • b. solving method Simplex LP

21
  • Click solve!
  • Solver has optimized our shipping and the minimum
    cost is 63,100.

22
A Real World Example Supply and Distribution
Options in the Oil Industry
(Balasubramanian)
23
Exercise
  • Harlow, Guildford, Cheltenham, and Norwich can
    supply 1,587, 570, 908, and 1,247 pallets of
    widgets each.
  • Cardiff, Telford, Rotherham, and Harrogate demand
    1,285, 875, 1,452, and 642 pallets of widgets
    each.
  • When optimized, what is the minimum cost?

24
Summary
  • The transportation method of linear programming
    is very useful
  • Flexible
  • Fast
  • Adaptive
  • Lean

25
Brainstorming Exercise
  • Now that you are familiar with this tool, take 5
    minutes to individually brainstorm how you can
    use this method.
  • Next, take 10 minutes to share your ideas and
    continue brainstorming with your group.
  • Each group will then present its best ideas.

26
Readings List
  • Jacobs, F. R., Chase, R. B. Operations and
    Supply Management The Core.
  • Washington, S. P., Karlaftis, M. G., Mannering,
    F. L. Statistical and Econometric Methods for
    Transportation Data Analysis, Second Edition.
  • Belenky, A. Operations Research in
    Transportation Systems Ideas and Schemes of
    Optimization Methods for Strategic Planning and
    Operations Management.
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