Multiple Response Units.” Management Science 36‚ 1623. Beasley‚ J.E. (1987). “An Algorithm for the Set Covering Problem.” European Journal of Operational Research 31‚ 85-93. Church‚ R.‚ and C. ReVelle (1974). “The Maximal Covering Location Problem.” Papers of the Regional Science Association 32‚ 101-118. Church‚ R.L.‚ and J.R. Weaver (1986). "Theoretical Links Between Median and Coverage Location Problems." Annals of Operations Research 6‚ 1-19. Chvatal‚ V. (1979). “A Greedy Heuristic for the Set-Covering
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A. Formulate a linear programming model for Julia that will help you to advise her if she should lease the booth. Formulate the model for the first home game. Explain how you derived the profit function and constraints and show any calculations that allow you to arrive at those equations. Let‚ X1 =No of pizza slices‚ X2 =No of hot dogs‚ X3 = No of barbeque sandwiches * Objective function co-efficient: The objective is to maximize total profit. Profit is calculated for each variable by
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problems cannot have "greater than or equal to" (≥) constraints. Answer Selected Answer: True Correct Answer: False Question 2 0 out of 2 points Fractional relationships between variables are permitted in the standard form of a linear program. Answer Selected Answer: True Correct Answer: False Question 3 2 out of 2 points In a media selection problem‚ instead of having an objective of maximizing profit or minimizing cost‚ generally the objective is to maximize
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Introduction Page 3 2. Problem Statement Page 3 3. Performance Measures and Trade-Offs Page 4 4. Assumptions Page 5 5. Iterative Plan Page 5 5.1. Integer Programming Model Page 5 5.2. Integer Programming Model Considering Overtime Page 6 5.3. Integer Programming Model Considering Hiring/Firing Page 7 6. Conclusion Page 9 1. Introduction In this case study‚ production planning of MacPherson Refrigeration Limited (MRL) for
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between i-th source and j-th destination (in $ or as a distance in kilometers‚ miles‚ etc.) xij … amount of material shipped between i-th source and j-th destination (in tons‚ pounds‚ liters etc.) 7. The Transportation Problem There is a type of linear programming problem that may be solved using a simplified version of the simplex technique called transportation method. Because of its major application in solving problems involving several product sources and several destinations of products‚ this type
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9: Project Scheduling: PERT/CPM ♦ R.C. Coleman Chapter 2: An Introduction to Linear Programming ♦ Workload Balancing ♦ Production Strategy ♦ Hart Venture Capital Chapter 10: Inventory Models ♦ Wagner Fabricating Company ♦ River City Fire Department Chapter 3: Linear Programming: Sensitivity Analysis and Interpretation of Solution ♦ Product Mix ♦ Investment Strategy ♦ Truck Leasing Strategy Chapter 4: Linear Programming Applications in Marketing‚ Finance and Operations Management ♦ Planning an Advertising
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Linear Programming: Using the Excel Solver Outline: We will use Microsoft Excel Solver to solve the four LP examples discussed in last class. 1. The Product Mix Example The Outdoor Furniture Corporation manufactures two products: benches and picnic tables for use in yards and parks. The firm has two main resources: its carpenters (labor) and a supply of redwood for use in the furniture. During the next production period‚ 1200 hours of manpower are available under a union agreement. The firm
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Exam 2 Preparation Guidelines February 24‚ 2013 Exam 2 is scheduled for Tuesday 3/5. Coverage will include material identified on the syllabus through 2/28. The exam will be comprised of two parts: (1) multiple choice questions (and possibly a few true/false)‚ (2) short answers. The weight between parts I and II will likely be in the neighborhood of 50-50. I’m guessing that 80% or more of the exam points will based on content since exam 1 (i.e.‚ content in chapters 8‚ 10‚ and 11). The exam is closed
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FORECASTING Managers are always trying to reduce uncertainty and make better estimates of what will happen in the future; this is the main purpose of forecasting. Some firms use subjective methods‚ seat-of-the pants methods‚ intuition‚ and experience. There are also several quantitative techniques‚ moving averages‚ exponential smoothing‚ trend projections‚ and least squares regression analysis. Eight steps to forecasting: * Determine the use of the forecast—what objective are we trying to
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Case Problem 2: Phoenix Computer Phoenix Computer manufactures and sells personal computers directly to customers. Orders are accepted by phone and through the company’s website. Phoenix will be introducing several new laptop models over next few months and management recognizes a need to develop technical support personnel to specialize in the new laptop systems. One option being considered is to hire new employees and put them through a three-month training program. Another option is to put
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