"Combinatorial optimization" Essays and Research Papers

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    OPRE/411 Week 4

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    OPRE 411 HOMEWORK #4 1. Use Solver in EXCEL to solve each of the following linear programming problems. To do so‚ complete the model in the given file in Blackboard and report the optimal solution and optimal objective function value in the context of the problem. (a) The Product-Mix Problem of BlubberMaid (see the file blubber.xls in Blackboard). (2 points) (b) The Make-Or-Buy Problem of MTV Steel (see the file makeorbu.xls in Blackboard). (5 points) (c) The Energy Problem of Lilliput on

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    Optimization is the problem of finding the best feasible solution to the problem. Optimization in healthcare is in the industry from past three decades. But now-a-days optimizations in healthcare have become noticeably and is attracting operation researchers because of the decreasing birth rates in nearly all the developed countries. Optimization has been applied in healthcare for various problems from operational level decisions to the designing of national healthcare policies. This case study

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    Cost Reduction in the Automobile Industry—Case Studies of the Chinese Market University of Halmstad School of Business and Engineering Master ’s Programme Master’ Cost Reduction in the Automobile Industry —— Case Studies of the Chinese market Studies October 25‚ 2012 Authors: Xu Zhiran ------ 890212-T253 Zhou Mengxiao------ 890315-T432 Supervisor: Nataliya Galan Examiner: Jonas.Gabrielsson i Cost Reduction in the Automobile Industry—Case Studies of the Chinese Market

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    Interior Pm Motor

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    Torque Optimization of the Interior-Permanent Magnet Synchronous Motors using Design Sensitivity Analysis Mohammadreza Hassan Zadeh1‚ Arash Kiyoumarsi2 1 Electrical Engineering Department‚ Abhar Islamic Azad University‚ Abhar‚ 22‚ Iran‚ phone: +98 281 3349816‚ e-mail: mrh_zadeh@qazviniau.ac.ir‚ 2 Electrical Engineering Department‚ Isfahan University Isfahan‚ Iran‚ Abstract. This paper presents a shape optimal design approach to reduce the torque ripple of the interior-permanent

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    Modeling‚ decision making‚ and optimization In practical life‚ we have to continually make decisions. Making decisions are required for solving problems so that we can increase our opportunities and make life much easier and beneficial. There are many alternatives for making decisions‚ but making a rightful decision is a harder task. Evaluating these alternatives and choosing the best course of action represents the main essence of decision analysis. For analyzing various decision

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    Economics Notes

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    Optimization Filomena Garcia Optimization Optimization Problems in Rn Parametric Form Examples The objectives of Optimization Theory Mathematical Economics - Part I Optimization Filomena Garcia Existence of Solutions Unconstrained Optima Equality Constraints Inequality Constraints Convex Structures in Optimization Theory Quasiconvexity Fall 2009 Filomena Garcia Optimization Optimization Filomena Garcia Optimization Optimization Problems in Rn Parametric Form Examples The objectives

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    ssvegsrgr PROJECT DEFINITION / SPECIFICATION (EXHIBIT A) Railway Route Optimization System A TECHNOLOGY PLAIN DOCUMENT PROJECT DEFINITION AND SPECIFICATION…………….………………3 SECTION 1: SPECIFICATION DATE...….……………..……………….…………………………..….3 SECTION 2: CLIENT...............…..............................…………….......…...............…………….…...3 SECTION 3: PROJECT TYPE...……............….......

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    is whether optimization‚ simulation‚ or a hybrid model (combination of optimization and simulation) is a better option to pursue. In this paper‚ we fundamentally distinguish the two modeling approaches – Supply Chain Optimization vs. Supply Chain Simulation‚ and the scenarios where the each option should be employed. Overview Optimization focuses on finding the optimal solution from millions of possible alternatives while meeting the given constraints of the supply chain. Optimization utilizes mixed

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    marketing

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    8 Nonlinear Optimization Models MULTIPLE CHOICE 1. Which of the following is incorrect? a. A global optimum is a local optimum in a nonlinear optimization problem. b. A local maximum is a global maximum in a concave nonlinear optimization problem. c. A global minimum is a local minimum in a convex nonlinear optimization problem. d. A local optimum is a global optimum in a nonlinear optimization problem. ANSWER: d TOPIC: Local and global optima 2. The measure of risk most

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    Inventory Optimization at Procter & Gamble: Achieving Real Benefits through User Adoption of Inventory Tools Procter & gamble (P&G) is a leading global consumer products company founded in 1837 with $76.7 billion in sales in 180 countries. P&G is famous for their brand names like Tide‚ Gillette‚ Pantene and many others. It competes in 26 distinct product-category markets such as hair care‚ cosmetics‚ paper towels‚ skin care‚ oral care‚ blades and razors‚ diapers and fabric care. Procter &

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