Exam 2: Linear Programming: Basic Concepts
Exam 1: Introduction28 Questions
Exam 2: Linear Programming: Basic Concepts83 Questions
Exam 3: Linear Programming: Formulation and Applications58 Questions
Exam 4: The Art of Modeling With Spreadsheets31 Questions
Exam 5: What-If Analysis for Linear Programming63 Questions
Exam 6: Network Optimization Problems48 Questions
Exam 7: Using Binary Integer Programming to Deal With Yes-Or-No Decisions26 Questions
Exam 8: Nonlinear Programming53 Questions
Exam 9: Decision Analysis77 Questions
Exam 10: Cd Supplement - Decision Analysis26 Questions
Exam 11: Forecasting76 Questions
Exam 12: Queueing Models75 Questions
Exam 13: CD Supplement - Additional Queueing Models8 Questions
Exam 14: Computer Simulation: Basic Concepts45 Questions
Exam 15: CD Supplement - the Inverse Transformation Method for Generating Random Observations2 Questions
Exam 16: Computer Simulation With Crystal Ball53 Questions
Exam 17: CD - Solution Concepts for Linear Programming45 Questions
Exam 18: CD - Transportation and Assignment Problems48 Questions
Exam 19: CD - Pertcpm Models for Project Management93 Questions
Exam 20: CD - Goal Programming21 Questions
Exam 21: CD - Inventory Management With Known Demand64 Questions
Exam 22: CD - Inventory Management With Uncertain Demand43 Questions
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In linear programming,solutions that satisfy all of the constraints simultaneously are referred to as:
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A manager should know the following things about linear programming.
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The operations manager for the Blue Moon Brewing Co. produces two beers: Lite (L) and Dark (D). He can only get 675 gallons of malt extract per day for brewing and his brewing hours are limited to 8 hours per day. To produce a keg of Lite beer requires 2 minutes of time and 5 gallons of malt extract. Each keg of Dark beer needs 4 minutes of time and 3 gallons of malt extract. Profits for Lite beer are $3.00 per keg and profits for Dark beer are $2.00 per keg.
-Which of the following is not a feasible solution?
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