Exam 3: Introduction to Optimization Modeling
Exam 1: Introduction to Modeling30 Questions
Exam 2: Introduction to Spreadsheet Modeling30 Questions
Exam 3: Introduction to Optimization Modeling30 Questions
Exam 4: Linear Programming Models31 Questions
Exam 5: Network Models30 Questions
Exam 6: Optimization Models With Integer Variables30 Questions
Exam 7: Nonlinear Optimization Models30 Questions
Exam 8: Evolutionary Solver: An Alternative Optimization Procedure30 Questions
Exam 9: Decision Making Under Uncertainty30 Questions
Exam 10: Introduction to Simulation Modeling30 Questions
Exam 11: Simulation Models30 Questions
Exam 12: Inventory and Supply Chain Models30 Questions
Exam 13: Queuing Models30 Questions
Exam 14: Regression and Forecasting Models30 Questions
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Linear programming models have three important properties. They are:
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The feasible region in a graphical solution of a linear programming problem will appear as some type of polygon, with lines forming all sides.
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Exhibit 3-2Western Chassis produces high-quality polished steel and aluminum sheeting and two lines of industrial chassis for the rack mounting of Internet routers, modems, and other telecommunications equipment. The contribution margin (contribution toward profit) for steel sheeting is $0.40 per pound and for aluminum sheeting is $0.60 per pound. Western earns $12 contribution on the sale of a Standard chassis rack and $15 contribution on a Deluxe chassis rack. During the next production cycle, Western can buy and use up to 25,800 pounds of raw unfinished steel either in sheeting or in chassis. Similarly, 20,400 pounds of aluminum are available. One standard chassis rack requires 16 pounds of steel and 8 pounds of aluminum. A Deluxe chassis rack requires 12 pounds of each metal. The output of metal sheeting is restricted only by the capacity of the polisher. For the next production cycle, the polisher can handle any mix of the two metals up to 4,000 pounds of metal sheeting. Chassis manufacture can be restricted by either metal stamping or assembly operations; no polishing is required. During the cycle no more than 2,500 total chassis can be stamped, and there will be 920 hours of assembly time available. The assembly time required is 24 minutes for the Standard chassis rack and 36 minutes for the Deluxe chassis rack. Finally, market conditions limit the number of Standard chassis racks sold to no more than 1,200 Standard and no more than 1,000 Deluxe. Any quantities of metal sheeting can be sold.
-Refer to Exhibit 3-2. What is the value of additional capacity on the polisher? How much increase and decrease in this capacity is possible before a change occurs in the optimal production schedule?
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If the objective function has the equation {4x + 2y}, then the slope of the objective function line is −2.
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The feasible region in all linear programming problems is bounded by:
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All linear programming problems should have a unique solution, if they can be solved.
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The proportionality property of LP models implies that the sum of the contributions from the various activities to a particular constraint equals the total contribution to that constraint.
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Exhibit 3-1A winemaker in California's Napa Valley must decide how much of two types of wine she will produce from a particular variety of grapes. Each liter of table wine yields $8 profit, while each liter of desert wine produces $3 profit. The labor hours and bottling process time used for type of wine are given in the table below. Resources available include 200 labor hours and 80 hours of bottling process time. Assume the winemaker has more than enough grapes available to supply any feasible production plan.
Table Desert Labor (Hours) 0.20 0.60 Process Time (Hours) 0.30 0.10
-[Part 1] Refer to Exhibit 3-1. Formulate a linear programming model that will enable the winemaker to determine the number of liters of each type of wine to produce in order to maximize her profit.
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