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book Introduction to Management Science 12th Edition by Bernard Taylor cover

Introduction to Management Science 12th Edition by Bernard Taylor

Edition 12ISBN: 978-0133778847
book Introduction to Management Science 12th Edition by Bernard Taylor cover

Introduction to Management Science 12th Edition by Bernard Taylor

Edition 12ISBN: 978-0133778847
Exercise 38
Solve the linear programming model formulated in Problem for Rucklehouse Public Relations by using the computer.
a. If the firm could reduce the minimum interview requirement for either telephone or personal interviews, which should the firm select How much would a reduction of one interview in the requirement you selected reduce total cost Solve the model again, using the computer, with the reduction of this one interview in the constraint requirement to verify your answer.
b. Identify the sensitivity ranges for the cost of a personal interview and the number of total interviews required.
Problem
Rucklehouse Public Relations has been contracted to do a survey following an election primary in New Hampshire. The firm must assign interviewers to conduct the survey by telephone or in person. One person can conduct 80 telephone interviews or 40 personal interviews in a single day. The following criteria have been established by the firm to ensure a representative survey:
At least 3,000 interviews must be conducted.
At least 1,000 interviews must be by telephone.
At least 800 interviews must be personal.
An interviewer conducts only one type of interview each day. The cost is $50 per day for a telephone interviewer and $70 per day for a personal interviewer. The firm wants to know the minimum number of interviewers to hire in order to minimize the total cost of the survey.
Formulate a linear programming model for this problem.
Explanation
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Introduction to Management Science 12th Edition by Bernard Taylor
Chapter 1: Management Science 
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Chapter 2: Linear Programming: Model Formulation and Graphical Solution 
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Chapter 3: Linear Programming: Computer Solution and Sensitivity Analysis 
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Chapter 4: Linear Programming: Modeling Chapterples 
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Chapter 5: Integer Programming 
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Chapter 6: Transportation, Transshipment, and Assignment Problems 
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Chapter 7: Network Flow Models 
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Chapter 8: Project Management 
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Chapter 9: Multicriteria Decision Making 
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Chapter 10: Nonlinear Programming 
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Chapter 11: Probability and Statistics 
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Chapter 12: Decision Analysis 
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Chapter 13: Queuing Analysis 
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Chapter 14: Simulation 
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Chapter 15: Forecasting 
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Chapter 16: Inventory Management
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