[PDF] Decision Making In The Manufacturing Environment eBook

Author : R. Venkata Rao
Publisher : Springer Science & Business Media
Page : 297 pages
File Size : 35,72 MB
Release : 2012-08-27
Category : Technology & Engineering
ISBN : 1447143752

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Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods presents the concepts and details of applications of MADM methods. A range of methods are covered including Analytic Hierarchy Process (AHP), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), VIšekriterijumsko KOmpromisno Rangiranje (VIKOR), Data Envelopment Analysis (DEA), Preference Ranking METHod for Enrichment Evaluations (PROMETHEE), ELimination Et Choix Traduisant la Realité (ELECTRE), COmplex PRoportional ASsessment (COPRAS), Grey Relational Analysis (GRA), UTility Additive (UTA), and Ordered Weighted Averaging (OWA). The existing MADM methods are improved upon and three novel multiple attribute decision making methods for solving the decision making problems of the manufacturing environment are proposed. The concept of integrated weights is introduced in the proposed subjective and objective integrated weights (SOIW) method and the weighted Euclidean distance based approach (WEDBA) to consider both the decision maker’s subjective preferences as well as the distribution of the attributes data of the decision matrix. These methods, which use fuzzy logic to convert the qualitative attributes into the quantitative attributes, are supported by various real-world application examples. Also, computer codes for AHP, TOPSIS, DEA, PROMETHEE, ELECTRE, COPRAS, and SOIW methods are included. This comprehensive coverage makes Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods a key reference for the designers, manufacturing engineers, practitioners, managers, institutes involved in both design and manufacturing related projects. It is also an ideal study resource for applied research workers, academicians, and students in mechanical and industrial engineering.

Author : Pushpdant Jain
Publisher :
Page : 0 pages
File Size : 43,28 MB
Release : 2023-10
Category : Business & Economics
ISBN : 9781774913567

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"This new volume applies the multi-criteria decision-making (MCDM) theory to solving problems and challenges in manufacturing environments. In real-time life applications, MCDM has gained vast popularity for its ability to help make decisions in the presence of various similar and conflicting choices. The volume discusses using MCDM computational methods to evaluate and select the most optimal solution or method to real-world manufacturing engineering issues. It details the decision-making process in relation to many manufacturing aspects, including materials selection; identification, assessment, and evaluation of risk; sustainability assessment; selection of green suppliers; and more. The chapter authors demonstrate the application of myriad MCDM techniques in decision-making, including MADM (multiple attribute decision-making), DEA (data envelopment analysis), fuzzy TOPSIS (technique for order preference by similarities to ideal solution), fuzzy-VIKOR (multicriteria optimization and compromise solution); MOORA (multi-objective optimization on the basis of ratio analysis), EWM (entropy weight method), (AHP) analytic hierarchy process, TODIM (TOmada de Decisao Interativa Multicriterio), and others. The volume illustrates these MCDM models in several industries and industrial processes, including for experimental analysis and optimization of drilling of glass fiber reinforced plastic, in the textile industries, for selection of refrigerants for domestic applications, and others. The wide range of topics in Decision-Making Models and Applications in Manufacturing Environments will be valuable for researchers in manufacturing fields who need to use the latest developments and trends in decision-making processes. Professionals as well as faculty and students in manufacturing, industrial, mechanical and production technologies will be able to use, apply, and implement the MCDM models presented in this book"--

Author : Surendra M. Gupta
Publisher : CRC Press
Page : 154 pages
File Size : 19,49 MB
Release : 2017-10-17
Category : Business & Economics
ISBN : 1351645617

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In order to ensure environmentally responsible production and disposal of products, local governments are imposing stricter environmental regulations, some of which even require manufacturers to take back their products at the end of the product's useful life. These government regulations, together with increasing environmental awareness, have forced manufacturers to invest in environment-conscious manufacturing. The multiple Criteria Decision Making Techniques presented in this book can be employed to solve the problems of environment-conscious manufacturers in product design, logistics, disassembly and remanufacturing.

Author : Harinder Singh Jagdev
Publisher : Springer Science & Business Media
Page : 275 pages
File Size : 37,4 MB
Release : 2013-06-29
Category : Business & Economics
ISBN : 1461503655

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Strategic Decision Making in Modern Manufacturing introduces and explains the AMBIT (Advanced Manufacturing Business ImplemenTation) approach, which has been developed to bridge the gap between strategic management considerations and the operational effects of technology investment decisions on the manufacturing organisation, so that the likely impact of new manufacturing technology and/or programme implementations can be evaluated, anticipated and accurately predicted. The AMBIT approach focuses specifically on the non-financial aspects of such investment decisions and offers an approach that allows a manager, or more frequently a management team, to understand the impacts of a new technology or a new programme on the manufacturing organisation in terms of manufacturing performance.

Author : Suresh P. Sethi
Publisher : Birkhäuser
Page : 0 pages
File Size : 49,39 MB
Release : 2012-09-27
Category : Technology & Engineering
ISBN : 9781461266945

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One of the most important methods in dealing with the optimization of large, complex systems is that of hierarchical decomposition. The idea is to reduce the overall complex problem into manageable approximate problems or subproblems, to solve these problems, and to construct a solution of the original problem from the solutions of these simpler prob lems. Development of such approaches for large complex systems has been identified as a particularly fruitful area by the Committee on the Next Decade in Operations Research (1988) [42] as well as by the Panel on Future Directions in Control Theory (1988) [65]. Most manufacturing firms are complex systems characterized by sev eral decision subsystems, such as finance, personnel, marketing, and op erations. They may have several plants and warehouses and a wide variety of machines and equipment devoted to producing a large number of different products. Moreover, they are subject to deterministic as well as stochastic discrete events, such as purchasing new equipment, hiring and layoff of personnel, and machine setups, failures, and repairs.

Author : National Research Council
Publisher : National Academies Press
Page : 297 pages
File Size : 43,17 MB
Release : 2005-07-01
Category : Science
ISBN : 0309095409

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With the growing number, complexity, and importance of environmental problems come demands to include a full range of intellectual disciplines and scholarly traditions to help define and eventually manage such problems more effectively. Decision Making for the Environment: Social and Behavioral Science Research Priorities is the result of a 2-year effort by 12 social and behavioral scientists, scholars, and practitioners. The report sets research priorities for the social and behavioral sciences as they relate to several different kinds of environmental problems.

Author : Theodor Borangiu
Publisher : Springer
Page : 440 pages
File Size : 22,97 MB
Release : 2019-08-02
Category : Technology & Engineering
ISBN : 3030274772

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This proceedings book presents selected peer-reviewed papers from the 9th International Workshop on ‘Service Oriented, Holonic and Multi-agent Manufacturing Systems for the Industry of the Future’ organized by Universitat Politècnica de València, Spain, and held on October 3–4, 2019. The SOHOMA 2019 Workshop aimed to foster innovation in the digital transformation of manufacturing and logistics by promoting new concepts and methods and solutions through service orientation in holonic and agent-based control with distributed intelligence. The book provides insights into the theme of the SOHOMA’19 Workshop – ‘Smart anything everywhere – the vertical and horizontal manufacturing integration, ’ addressing ‘Industry of the Future’ (IoF), a term used to describe the 4th industrial revolution initiated by a new generation of adaptive, fully connected, analytical and highly efficient robotized manufacturing systems. This global IoF model describes a new stage of manufacturing, that is fully automatized and uses advanced information, communication and control technologies such as industrial IoT, cyber-physical production systems, cloud manufacturing, resource virtualization, product intelligence, and digital twin, edge and fog computing. It presents the IoF interconnection of distributed manufacturing entities using a ‘system-of-systems’ approach, discussing new types of highly interconnected and self-organizing production resources in the entire value chain; and new types of intelligent decision-making support based on from real-time production data collected from resources, products and machine learning processing. This book is intended for researchers and engineers working in the manufacturing value chain, and specialists developing computer-based control and robotics solutions for the ‘Industry of the Future’. It is also a valuable resource for master’s and Ph.D. students in engineering sciences programs.