Exam 2: Linear programming: Basic Concepts
Exam 1: Introduction24 Questions
Exam 2: Linear programming: Basic Concepts84 Questions
Exam 3: Linear programming: Formulation and applications57 Questions
Exam 4: Theart of modeling with spread sheets31 Questions
Exam 5: What-If Analysis for linear programming57 Questions
Exam 6: Network optimization problems48 Questions
Exam 7: Using binary integer programming to deal withy es-Or-No decisions28 Questions
Exam 8: Non linear programming52 Questions
Exam 9: Decision Analysis78 Questions
Exam 10: Forecasting76 Questions
Exam 11: Queuing models74 Questions
Exam 12: Computer simulation: Basic Concepts44 Questions
Exam 13: Computer simulation with risks olver platform47 Questions
Exam 14: Solution concepts for linear programming45 Questions
Exam 15: Transportation and assignment problems48 Questions
Exam 16: Pert CPM models for project management92 Questions
Exam 17: Goal programming21 Questions
Exam 18: Inventory management with known demand64 Questions
Exam 19: Inventory management with uncertain demand43 Questions
Exam 20: Computer simulation with crystal ball51 Questions
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For the products A,B,C,and D,which of the following could be a linear programming objective function?
(Multiple Choice)
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The production planner for a private label soft drink maker is planning the production of two soft drinks: root beer (R) and sassafras soda (S). There are at most 12 hours per day of production time and 1500 gallons per day of carbonated water available. A case of root beer requires 2 minutes of time and 5 gallons of water to produce, while a case of sassafras soda requires 3 minutes of time and 5 gallons of water. Profits for the root beer are $6.00 per case, and profits for the sassafras soda are $4.00 per case.
-Which of the following is not a feasible solution?
(Multiple Choice)
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All linear programming models have an objective function and at least two constraints
(True/False)
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An electronics firm produces two models of pocket calculators: the A-100 (A) and the B-200 (B). Each model uses one circuit board, of which there are only 2,500 available for this week's production. In addition, the company has allocated a maximum of 800 hours of assembly time this week for producing these calculators. Each A-100 requires 15 minutes to produce while each B-200 requires 30 minutes to produce. The firm forecasts that it could sell a maximum of 4,000 of the A-100s this week and a maximum of 1,000 B-200s. Profits for the A-100 are $1.00 each and profits for the B-200 are $4.00 each.
-What is the objective function?
(Multiple Choice)
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The value of the objective function decreases as the objective function line is moved away from the origin
(True/False)
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When solving a maximization problem graphically,it is generally the goal to move the objective function line out,away from the origin,as far as possible
(True/False)
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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.
-What is the objective function?
(Multiple Choice)
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When formulating a linear programming problem on a spreadsheet,the data cells will show the optimal solution
(True/False)
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A local bagel shop produces bagels (B) and croissants (C). Each bagel requires 6 ounces of flour, 1 gram of yeast, and 2 tablespoons of sugar. A croissant requires 3 ounces of flour, 1 gram of yeast, and 4 tablespoons of sugar. The company has 6,600 ounces of flour, 1,400 grams of yeast, and 4,800 tablespoons of sugar available for today's baking. Bagel profits are 20 cents each and croissant profits are 30 cents each.
-What is the objective function?
(Multiple Choice)
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Which of the following constitutes a simultaneous solution to the following 2 equations?
(Multiple Choice)
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Which of the following constitutes a simultaneous solution to the following 2 equations?
(Multiple Choice)
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An electronics firm produces two models of pocket calculators: the A-100 (A) and the B-200 (B). Each model uses one circuit board, of which there are only 2,500 available for this week's production. In addition, the company has allocated a maximum of 800 hours of assembly time this week for producing these calculators. Each A-100 requires 15 minutes to produce while each B-200 requires 30 minutes to produce. The firm forecasts that it could sell a maximum of 4,000 of the A-100s this week and a maximum of 1,000 B-200s. Profits for the A-100 are $1.00 each and profits for the B-200 are $4.00 each.
-What is the weekly profit when producing the optimal amounts?
(Multiple Choice)
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Linear programming models can have either ≤ or ≥ inequality constraints but not both in the same problem
(True/False)
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The operations manager of a mail order house purchases double (D) and twin (T) beds for resale. Each double bed costs $500 and requires 100 cubic feet of storage space. Each twin bed costs $300 and requires 90 cubic feet of storage space. The manager has $75,000 to invest in beds this week, and her warehouse has 18,000 cubic feet available for storage. Profit for each double bed is $300 and for each twin bed is $150.
-What is the storage space constraint?
(Multiple Choice)
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Which of the following is not a component of a linear programming model?
(Multiple Choice)
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The owner of Crackers, Inc. produces both Deluxe (D) and Classic (C) crackers. She only has 4,800 ounces of sugar, 9,600 ounces of flour, and 2,000 ounces of salt for her next production run. A box of Deluxe crackers requires 2 ounces of sugar, 6 ounces of flour, and 1 ounce of salt to produce. A box of Classic crackers requires 3 ounces of sugar, 8 ounces of flour, and 2 ounces of salt to produce. Profits are 40 cents for a box of Deluxe crackers and 50 cents for a box of Classic crackers.
-What is the daily profit when producing the optimal amounts?
(Multiple Choice)
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A maximization problem can generally be characterized by having all ≥ constraints
(True/False)
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