Decision-Making Models and Applications in Manufacturing Environments (製造環境中的決策模型與應用)
Jain, Pushpdant, Abhishek, Kumar, Chatterjee, Prasenjit
- 出版商: Apple Academic Press
- 出版日期: 2024-02-20
- 售價: $6,110
- 貴賓價: 9.5 折 $5,805
- 語言: 英文
- 頁數: 496
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1774913550
- ISBN-13: 9781774913550
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相關主題
商品描述
Multi-criteria decision-making (MCDM) has gained vast popularity for its ability to help make decisions in the presence of various similar and conflicting choices.This new volume applies the MCDM theory to solving problems and challenges in manufacturing environments. It discusses using MCDM computational methods to evaluate and select the most optimal solution or method for real-world, real-time manufacutring engineering issues. It details the decision-making process in relation 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.
商品描述(中文翻譯)
多準則決策（MCDM）因其能夠在面對各種相似且相互衝突的選擇時協助做出決策而廣受歡迎。本書新卷將MCDM理論應用於解決製造環境中的問題和挑戰。它討論了如何使用MCDM計算方法來評估和選擇最優解決方案或方法，以應對現實世界中的即時製造工程問題。內容詳細說明了與材料選擇、風險的識別、評估和評價、可持續性評估、綠色供應商的選擇等相關的決策過程。
各章作者展示了多種MCDM技術在決策中的應用，包括多屬性決策（MADM）、數據包絡分析（DEA）、模糊TOPSIS（根據與理想解的相似性進行的排序偏好技術）、模糊-VIKOR（多準則優化和妥協解決方案）、基於比率分析的多目標優化（MOORA）、熵權法（EWM）、層級分析法（AHP）、多準則互動決策（TODIM）等。本書展示了這些MCDM模型在多個行業和工業過程中的應用，包括對玻璃纖維增強塑料鑽孔的實驗分析和優化、紡織行業、家用應用的制冷劑選擇等。
作者簡介
Pushpdant Jain, PhD, is an Assistant Professor in the School of Mechanical Engineering at VIT Bhopal University, India. Prior to academia, he served in industry for six years. He has published research papers in international peer-reviewed journals and has published several book chapters. Dr. Jain has participated in international conferences, is an active member of the European Society of Bio-Mechanics and life member of the International Association of Engineers, Indian Institution of Industrial Engineering, and Indian Society for Technical Education. He was named Research Scholar of the Year (2018) by NIT Rourkela for his PhD work.
Kumar Abhishek, PhD, is an Assistant Professor in the Mechanical and Aero-Space Engineering Department at the National Institute of Infrastructure, Technology, Research and Management, Ahmedabad, India. His area of research mainly focuses on manufacturing and industrial engineering, modeling and optimization of production processes, and composite machining. He has many publications in reputed journals and international conference publications to his credit. He organizes a workshop every consecutive year titled MOOMESA--Multi Objective Optimization Methods for Engineering and Scientific Applications.
Prasenjit Chatterjee, PhD, is Dean (Research and Consultancy) at the MCKV Institute of Engineering, West Bengal, India. He has over 100 research papers published in international journals and peer-reviewed conferences. He has authored and edited more than 15 books on intelligent decision-making, supply chain management, optimization techniques, risk, and sustainability modelling. Dr. Chatterjee is the Editor-in-Chief of the Journal of Decision Analytics and Intelligent Computing as well as a series editor for several book series. Dr. Chatterjee is one of the developers of two multiple-criteria decision-making methods: Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS) and Ranking of Alternatives through Functional mapping of criterion sub-intervals into a Single Interval (RAFSI).
作者簡介(中文翻譯)
Pushpdant Jain博士是印度VIT Bhopal大學機械工程學院的助理教授。在進入學術界之前，他在業界工作了六年。他在國際同行評審期刊上發表了研究論文，並出版了幾個書章。Jain博士參加了國際會議，是歐洲生物力學學會的活躍成員，並且是國際工程師協會、印度工業工程學會和印度技術教育學會的終身會員。他因其博士研究工作被NIT Rourkela評選為2018年度研究學者。
Kumar Abhishek博士是印度艾哈邁達巴德國家基礎設施技術研究與管理學院機械與航空航天工程系的助理教授。他的研究領域主要集中在製造與工業工程、製程建模與優化以及複合材料加工。他在知名期刊和國際會議上發表了多篇論文。他每年舉辦一次名為MOOMESA的工作坊，主題為工程與科學應用的多目標優化方法。
Prasenjit Chatterjee博士是印度西孟加拉州MCKV工程學院的研究與諮詢院長。他在國際期刊和同行評審會議上發表了超過100篇研究論文。他撰寫和編輯了超過15本有關智能決策、供應鏈管理、優化技術、風險和可持續性建模的書籍。Chatterjee博士是《決策分析與智能計算期刊》的主編，並且是幾個書系的系列編輯。Chatterjee博士是兩種多準則決策方法的開發者之一：替代方案測量與妥協解排名（MARCOS）以及通過將準則子區間功能映射到單一區間的替代方案排名（RAFSI）。
