MAT 540 Week 11 Final Exam Newly Taken 2016

Final Draft of MAT 540 Final

 1. Which of the following could be a linear programming objective function? (Points : 5) Z = 1A + 2BC + 3D Z = 1A + 2B + 3C + 4D Z = 1A + 2B / C + 3D Z = 1A + 2B2 + 3D all of the above

 2. Which of the following could not be a linear programming problem constraint? (Points : 5) 1A + 2B 1A + 2B = 3 1A + 2B LTOREQ 3 1A + 2B GTOREQ 3

 3. Types of integer programming models are _____________. (Points : 5) total 0 – 1 mixed all of the above

 4. The production manager for Beer etc. produces 2 kinds of beer: light (L) and dark (D). Two resources used to produce beer are malt and wheat. He can obtain at most 4800 oz of malt per week and at most 3200 oz of wheat per week respectively. Each bottle of light beer requires 12 oz of malt and 4 oz of wheat, while a bottle of dark beer uses 8 oz of malt and 8 oz of wheat. Profits for light beer are \$2 per bottle, and profits for dark beer are \$1 per bottle. If the production manager decides to produce of 0 bottles of light beer and 400 bottles of dark beer, it will result in slack of (Points : 5) malt only wheat only both malt and wheat neither malt nor wheat

 5. The reduced cost (shadow price) for a positive decision variable is 0. (Points : 5) True False

 6. Decision variables (Points : 5) measure the objective function measure how much or how many items to produce, purchase, hire, etc. always exist for each constraint measure the values of each constrain

 7. A plant manager is attempting to determine the production schedule of various products to maximize profit. Assume that a machine hour constraint is binding. If the original amount of machine hours available is 200 minutes., and the range of feasibility is from 130 minutes to 340 minutes, providing two additional machine hours will result in the: (Points : 5) same product mix, different total profit different product mix, same total profit as before same product mix, same total profit different product mix, different total profit

 8. Decision models are mathematical symbols representing levels of activity. (Points : 5) True False

 9. The integer programming model for a transportation problem has constraints for supply at each source and demand at each destination. (Points : 5) True False

 10. In a transportation problem, items are allocated from sources to destinations (Points : 5) at a maximum cost at a minimum cost at a minimum profit at a minimum revenue

 11. In a media selection problem, the estimated number of customers reached by a given media would generally be specified in the _________________. Even if these media exposure estimates are correct, using media exposure as a surrogate does not lead to maximization of ______________. (Points : 5) problem constraints, sales problem constraints, profits objective function, profits problem output, marginal revenue problem statement, revenue

 12. ____________ solutions are ones that satisfy all the constraints simultaneously. (Points : 5) alternate feasible infeasible optimal unbounded

 13. In a linear programming problem, a valid objective function can be represented as (Points : 5) Max Z = 5xy Max Z 5x2 + 2y2 Max 3x + 3y + 1/3z Min (x1 + x2) / x3

 14. The standard form for the computer solution of a linear programming problem requires all variables to the right and all numerical values to the left of the inequality or equality sign (Points : 5) True False

 15. Constraints representing fractional relationships such as the production quantity of product 1 must be at least twice as much as the production quantity of products 2, 3 and 4 combined cannot be input into computer software packages because the left side of the inequality does not consist of consists of pure numbers. (Points : 5) True False

 16. In a balanced transportation model where supply equals demand, (Points : 5) all constraints are equalities none of the constraints are equalities all constraints are inequalities all constraints are inequalities

 17. The objective function is a linear relationship reflecting the objective of an operation. (Points : 5) True False

 18. The owner of Chips etc. produces 2 kinds of chips: Lime (L) and Vinegar (V). He has a limited amount of the 3 ingredients used to produce these chips available for his next production run: 4800 ounces of salt, 9600 ounces of flour, and 2000 ounces of herbs. A bag of Lime chips requires 2 ounces of salt, 6 ounces of flour, and 1 ounce of herbs to produce; while a bag of Vinegar chips requires 3 ounces of salt, 8 ounces of flour, and 2 ounces of herbs. Profits for a bag of Lime chips are \$0.40, and for a bag of Vinegar chips \$0.50. Which of the following is not a feasible production combination? (Points : 5) 0L and 0V 0L and 1000V 1000L and 0V 0L and 1200V

 19. The linear programming model for a transportation problem has constraints for supply at each source and demand at each destination. (Points : 5) True False

 20. For a maximization problem, assume that a constraint is binding. If the original amount of a resource is 4 lbs., and the range of feasibility (sensitivity range) for this constraint is from 3 lbs. to 6 lbs., increasing the amount of this resource by 1 lb. will result in the: (Points : 5) same product mix, different total profit different product mix, same total profit as before same product mix, same total profit different product mix, different total profit

 21. In a total integer model, all decision variables have integer solution values. (Points : 5) True False

 22. Linear programming is a model consisting of linear relationships representing a firm’s decisions given an objective and resource constraints. (Points : 5) True False

 23. When using linear programming model to solve the ‘diet’ problem, the objective is generally to maximize profit. (Points : 5) True False

 24. In a balanced transportation model where supply equals demand, all constraints are equalities. (Points : 5) True False

 25. In a transportation problem, items are allocated from sources to destinations at a minimum cost. (Points : 5) True False

 26. Mallory Furniture buys 2 products for resale: big shelves (B) and medium shelves (M). Each big shelf costs \$500 and requires 100 cubic feet of storage space, and each medium shelf costs \$300 and requires 90 cubic feet of storage space. The company has \$75000 to invest in shelves this week, and the warehouse has 18000 cubic feet available for storage. Profit for each big shelf is \$300 and for each medium shelf is \$150.  Which of the following is not a feasible purchase combination? (Points : 5) 0 big shelves and 200 medium shelves 0 big shelves and 0 medium shelves 150 big shelves and 0 medium shelves 100 big shelves and 100 medium shelves

 27. In a mixed integer model, some solution values for decision variables are integer and others can be non-integer. (Points : 5) True False

 28. In a 0 – 1 integer model, the solution values of the decision variables are 0 or 1. (Points : 5) True False

 29. Determining the production quantities of different products manufactured by a company based on resource constraints is a product mix linear programming problem. (Points : 5) True False

 30. The dietician for the local hospital is trying to control the calorie intake of the heart surgery patients. Tonight’s dinner menu could consist of the following food items: chicken, lasagna, pudding, salad, mashed potatoes and jello. The calories per serving for each of these items are as follows: chicken (600), lasagna (700), pudding (300), salad (200), mashed potatoes with gravy (400) and jello (200). If the maximum calorie intake has to be limited to 1200 calories. What is the dinner menu that would result in the highest calorie in take without going over  the total calorie limit of 1200. (Points : 5) chicken, mashed potatoes and gravy, jello and salad lasagna, mashed potatoes and gravy, and jello chicken, mashed potatoes and gravy, and pudding lasagna, mashed potatoes and gravy, and salad chicken, mashed potatoes and gravy, and salad

 31. When the right-hand sides of 2 constraints are both increased by 1 unit, the value of the objective function will be adjusted by the sum of the constraints’ prices. (Points : 5) True False

 32. The transportation method assumes that (Points : 5) the number of rows is equal to the number of columns there must be at least 2 rows and at least 2 columns 1 and 2 the product of rows minus 1 and columns minus 1 should not be less than the number of completed cells

 33. A constraint is a linear relationship representing a restriction on decision making. (Points : 5) True False

 34. When formulating a linear programming model on a spreadsheet, the measure of performance is located in the target cell. (Points : 5) True False

 35. The linear programming model for a transportation problem has constraints for supply at each ________ and _________ at each destination. (Points : 5) destination / source source / destination demand / source source / demand

 36. The 3 types of integer programming models are total, 0 – 1, and mixed. (Points : 5) True False

 37. In using rounding of a linear programming model to obtain an integer solution, the solution is (Points : 5) always optimal and feasible sometimes optimal and feasible always optimal always feasible never optimal and feasible

 38. If we use Excel to solve a linear programming problem instead of QM for Windows, then the data input requirements are likely to be much less tedious and time consuming. (Points : 5) True False

 39. In a _______ integer model, some solution values for decision variables are integer and others can be non-integer. (Points : 5) total 0 – 1 mixed all of the above

 40. Which of the following is not an integer linear programming problem? (Points : 5) pure integer mixed integer 0-1integer continuous