Linear Programming Chapter 4: Modeling Examples
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Questions and Answers

What is the objective function of the company?

  • Maximize profit (correct)
  • Minimize cost
  • Maximize processing time
  • Minimize profit
  • What is the key benefit of following a systematic approach to model formulation?

  • It increases the accuracy of the model
  • It reduces the complexity of the model
  • It helps to identify a specific model component at each step (correct)
  • It makes the model easier to understand
  • What is the purpose of the formulas for leftover resources in the Excel spreadsheet solution?

  • To calculate the processing time
  • To calculate the total budget
  • To calculate the profit
  • To demonstrate a spreadsheet operation that can save time (correct)
  • 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.

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    Description

    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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