Exam 4: Linear Programming Applications in Marketing, Finance, and Operations Management
Exam 1: Introduction63 Questions
Exam 2: An Introduction to Linear Programming66 Questions
Exam 3: Linear Programming: Sensitivity Analysis and Interpretation of Solution56 Questions
Exam 4: Linear Programming Applications in Marketing, Finance, and Operations Management63 Questions
Exam 5: Advanced Linear Programming Applications46 Questions
Exam 6: Distribution and Network Models70 Questions
Exam 7: Integer Linear Programming61 Questions
Exam 8: Nonlinear Optimization Models51 Questions
Exam 9: Project Scheduling: Pertcpm59 Questions
Exam 10: Inventory Models65 Questions
Exam 11: Waiting Line Models68 Questions
Exam 12: Simulation62 Questions
Exam 13: Decision Analysis97 Questions
Exam 14: Multicriteria Decisions50 Questions
Exam 15: Time Series Analysis and Forecasting63 Questions
Exam 16: Markov Processes49 Questions
Exam 17: Linear Programming: Simplex Method51 Questions
Exam 18: Simplex-Based Sensitivity Analysis and Duality35 Questions
Exam 19: Solution Procedures for Transportation and Assignment Problems44 Questions
Exam 20: Minimal Spanning Tree19 Questions
Exam 21: Dynamic Programming38 Questions
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Double-subscript notation for decision variables should be avoided unless the number of decision variables exceeds nine.
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The production scheduling problem modeled in the textbook involves capacity constraints on all of the following types of resources except
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Evans Enterprises has bought a prime parcel of beachfront property and plans to build a luxury hotel. After meeting with the architectural team, the Evans family has drawn up some information to make preliminary plans for construction. Excluding the suites, which are not part of this decision, the hotel will have four kinds of rooms: beachfront non-smoking, beachfront smoking, lagoon view non-smoking, and lagoon view smoking. In order to decide how many of each of the four kinds of rooms to plan for, the Evans family will consider the following information.
a.After adjusting for expected occupancy, the average nightly revenue for a beachfront non-smoking room is $175. The average nightly revenue for a lagoon view non-smoking room is $130. Smokers will be charged an extra $15.
b.Construction costs vary. The cost estimate for a lagoon view room is $12,000 and for a beachfront room is $15,000. Air purifying systems and additional smoke detectors and sprinklers ad $3000 to the cost of any smoking room. Evans Enterprises has raised $6.3 million in construction guarantees for this portion of the building.
c.There will be at least 100 but no more than 180 beachfront rooms.
d.Design considerations require that the number of lagoon view rooms be at least 1.5 times the number of beachfront rooms, and no more than 2.5 times that number.
e.Industry trends recommend that the number of smoking rooms be no more than 50% of the number of non-smoking rooms.
Develop the linear programming model to maximize revenue.
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