Decision Analysis, Location Models, and Scheduling Problems

Decision Analysis, Location Models, and Scheduling Problems
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The purpose of this book is to provide readers with an introduction to the fields of decision making, location analysis, and project and machine scheduling. Request PDF on ResearchGate | Decision Analysis, Location Models, and Scheduling Problems | Notation.- I: Analysis of Decision Making.- 1 Multicriteria.

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https://ycepamyg.tk Top of the page INDR Heuristic Methods 3 Credits Constructive heuristics; improving heuristics; metaheuristics: simulated annealing, genetic algorithms, tabu search, scatter search, path relinking, ant colony optimization, variable neighborhood search, and their hybrids; heuristic methods based on relaxation and decomposition; applications: routing, scheduling, cutting and packing, inventory and production management, location, assignment of resources, bioinformatics, and telecommunications. Multi-Echelon Systems: uncapacitated models and optimal policies, capacitated models: different control mechanisms.

Multiple locations and multiple items: inventory and capacity allocation.

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Decentralized control and the effects of competition on the supply chain: coordination and contracting issues. Top of the page INDR Supply Chain Modeling and Analysis 3 Credits Application and development of mathematical modeling tools for the analysis of strategic, tactical, and operational supply-chain problems.

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Mathematical programming formulations for integrated planning of capacity and demand in a supply chain. Planning and managing inventories in multi-level systems, centralized versus decentralized control of supply chain inventories. Models and algorithms for transportation and logistics systems design and analysis.

Supply chain coordination issues and achieving coordination through contracts. The role of information technology and enterprise resource planning ERP and Advanced Planning and Optimization software. Prerequisite: ENGR.

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Prerequisite: INDR. Participating students must also make presentations during the semester. Thesis 3 Credits Independent research towards M.

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FAQ Help. Top of the page. Integer programming and network models by Horst A Eiselt Book 13 editions published between and in English and held by WorldCat member libraries worldwide The purpose of this book is to provide readers with an introduction to the very active field of integer programming and network models. Operations research : theory, techniques, applications by Horst A Eiselt Book 3 editions published in in English and held by 24 WorldCat member libraries worldwide. Top of the page INDR Discrete Event Simulation 3 Credits Topics on distribution fitting and generating random numbers and random variates will be covered as well as the statistical analysis of simulation output including some well-known analysis methods and variance reduction techniques. Larry Bossidy. Stock Status.

Thesis 3 Credits Independent research towards Ph. Four modules: process fundamentals; cross functional integration, coordination, and control; improving the performance of productive systems; and competing through technology and operations. Top of the page QMBU Introduction to Management Science 3 Credits Fundamental quantitative methods used in business decision-making: mathematical programming, stochastic modeling, and simulation, with emphasis on formulation, analysis, and implementation.

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Top of the page OPSM Operations Strategy 3 Credits Coordination of marketing, operations, and finance functions within a framework designed to meet the competitive requirements of the marketplace. Interface issues between corporate strategy and the management of the operations function. Top of the page OPSM Supply Chain Management 3 Credits Process-oriented, integrated approach to procuring, producing, and delivering products and services to customers.

Strategic and operational issues, such as sharing information and joint planning, reduction in supplier base, channel-wide inventory management, channel-wide total cost approach, supply chain competitiveness, compatibility of corporate philosophies. Emphasis will be on both documentation and team-based strategies for continuous improvement, using the ISO Standard as a basis for quality system requirements.

IE Decision Analysis 3 0 3 ECTS: 5 Introduction; elements of decision problems; structuring decisions; probability and decision; decision making in a complex world; uncertainty and making choices; payoffs and losses; developing a decision model; non-probabilistic and probabilistic criteria for decision making under uncertainty; utility and the assessment of utility functions; decision tree analysis; gaining insight through evaluation; the value of information; terminal and posterior decisions; the value of perfect and sample information; pre-posterior analysis; using simulation to solve decision problems; getting agreement; implementing the decision analysis process.

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Real life cases are studied. Software packages are used for solution and analysis of models. Applications of operations research tools and techniques to defense related problems including important design characteristics of defense related sensors, systems and weapons.

Reliability of systems, effect of information and technology considering the modern weapons, munitions and the sensors are also investigated. IE Mathematical Modeling and Applications 3 0 3 ECTS: 5 This course aims to develop skills in understanding and formulating deterministic mathematical models of complex systems. Transportation, distribution, location, production, and economic planning problems are investigated. IE Value Creation and Innovation in Industrial Networks 3 0 3 ECTS: 5 Value concept; innovation concept; inter-enterprise relationships and cooperation; value creation and innovation in relationships; value chain; organization and structure of networks, supply-demand chains, production networks, strategic alliances, innovation systems and innovation networks, clusters of firms.

IE Industrial Engineering Methods and Applications in Business Life 3 0 3 ECTS: 5 Several industrial engineering topics with their applications in real life systems, modeling of real life problems and the solution techniques of these models will be introduced. Topics covered; supply chain management, sales and after sales processes, financial accounting, ERP systems, network planning, data analysis. We start with an example which can be a real business problem or a simplified version with clearly defined questions that are often of managerial relevance.

Then we solve the problem during the class. Finally we discuss managerial insights based on the analysis.

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