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Cosmos Bottling Case

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Atlanta, Buffalo, Chicago, Detroit Cincinnati. Atlanta, Buffalo, Chicago, Detroit Richmond. ... Buffalo, Detroit Richmond. Atlanta, Buffalo, Detroit St. ... – PowerPoint PPT presentation

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Title: Cosmos Bottling Case


1
Cosmos Bottling Case
  • Henry C. Co
  • Technology and Operations Management,
  • California Polytechnic and State University

2
Alternatives
  • In case you have not figured it out yet
  • There are six feasible alternatives (i.e., with
    combined capacity greater than or equal to year
    2000 demand).
  • Atlanta, Buffalo, Chicago, Detroit Cincinnati.
  • Atlanta, Buffalo, Chicago, Detroit Richmond.
  • Atlanta, Buffalo, Chicago, Detroit St. Louis.
  • Atlanta, Buffalo, Detroit Cincinnati.
  • Atlanta, Buffalo, Detroit Richmond.
  • Atlanta, Buffalo, Detroit St. Louis.

3
Fixed and variable costs
  • Exhibit IV gives the fixed cost and variable
    labor cost of each plant.
  • Other variable costs include
  • Shipping costs of finished goods
  • Raw material costs (syrup)
  • Shipping costs of syrup

4
Shipping costs of finished goods
5
Syrup labor costs
6
Total Unit Costs
7
Allocation Matrix
8
Setting Up the Allocation Matrix
  • Column I Sum of Column B to Column H. For
    example, I69 SUM(B69H69)
  • Line 94 Sum of Line 69 to Line 93. For example,
    B94 SUM(B69B93)
  • The allocations are in thousand cases. Therefore,
    unit costs must be multiplied by 1,000. Cell B96
    Total cost of Atlanta SUMPRODUCT(B41B65,B69B93
    )1000
  • Copy and paste Cell B96 onto Cells C96H96)
  • Cell I96 Total system cost SUM(B96H96). This
    is the target to be minimized.

9
The annual fixed cost
  • Line 95 shows the supply of each plant
  • Supply 0, if the plant is not activated
  • If suppy gt 0, there is an annual fixed cost
  • Line 97 shows fixed cost of each plant
  • Cell I97 sum of fixed cost, wherever supply gt0
  • Cell I99 SUM(I96I97)

10
Run Solver for each alternative
  • Starting with blank (zero) allocation.
  • The target is to minimize total cost (look, it is
    cell I96!).
  • By changing what?
  • The columns corresponding to the facilities
    listed in the alternative.
  • For example, in alternative 1, we are looking at
    the columns for Atlanta, Buffalo, Chicago,
    Detroit and Cincinnati.
  • Constraints?
  • Demand must be satisfied.
  • Supply can not be exceeded.
  • Option non-negative, auto scaling, linear model

11
Solver
12
Download Excel worksheet
  • Click HERE.
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