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Linear Programming Chapter 4: Modeling Examples

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3 Questions

What is the objective function of the company?

Maximize profit

What is the key benefit of following a systematic approach to model formulation?

It helps to identify a specific model component at each step

What is the purpose of the formulas for leftover resources in the Excel spreadsheet solution?

To demonstrate a spreadsheet operation that can save time

Study Notes

Linear Programming: Modeling Examples

  • This chapter presents more complex model formulation examples, illustrating popular application areas of linear programming and providing guidelines for model formulation and computer solutions.

A Product Mix Example: Quick-Screen

  • Quick-Screen is a clothing manufacturing company that produces commemorative shirts for sporting events.
  • The company has 72 hours to complete production after the game, with a budget of $25,000 and sufficient blank sweatshirts and T-shirts in stock.
  • The company wants to maximize profit by determining the optimal number of dozens of each type of shirt to produce.

Decision Variables

  • Four decision variables represent the number of dozens of each type of shirt to produce:
    • x1: sweatshirts, front printing
    • x2: sweatshirts, back and front printing
    • x3: T-shirts, front printing
    • x4: T-shirts, back and front printing

The Objective Function

  • The objective is to maximize profit, with the total profit being the sum of individual profits from each type of shirt:
    • maximize Z = $90x1 + 125x2 + 45x3 + 65x4

Model Constraints

  • Four constraints:
    • Processing time: total available processing time is 72 hours
    • Shipping capacity: available shipping capacity is 1,200 standard-size boxes
    • Cost budget: total budget available for production is $25,000
    • Availability of blank shirts: limited to 500 dozen sweatshirts and 500 dozen T-shirts

Model Summary

  • The linear programming model for Quick-Screen is summarized as:
    • maximize Z = 90x1 + 125x2 + 45x3 + 65x4
    • subject to four constraints: processing time, shipping capacity, cost budget, and availability of blank shirts
    • x1, x2, x3, x4 ≥ 0

Computer Solution with Excel

  • The Excel spreadsheet solution for this product mix example is shown in Exhibit 4.1.
  • Decision variables are located in cells B14:B17.
  • Profit is computed in cell B18.
  • Constraint formulas are embedded in cells H7 through H11.
  • Formulas for leftover resources are in cells K7 through K11.

This chapter presents complex examples of model formulation in linear programming, illustrating popular application areas and providing guidelines for problem-solving with Excel and QM for Windows.

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