eBook: Multi-Criteria Decision-Making Methods in Manufacturing Environments: Models and Applications (DRM EPUB)
 
電子書格式: DRM EPUB
作者: Shankar Chakraborty, Prasenjit Chatterjee, Partha Protim Das 
系列: Frontiers of Mechanical and Industrial Engineering
分類: Product design ,
Biology, life sciences ,
Engineering: general ,
Ergonomics ,
Industrial chemistry & manufacturing technologies ,
Environmental science, engineering & technology ,
Educational: Sciences, general science  
書城編號: 27008698


售價: $1720.00

購買後立即進貨, 約需 1-4 天

 
 
製造商: Apple Academic Press
出版日期: 2023/10/13
頁數: 418
ISBN: 9781000851373
 
>> 相關實體書

商品簡介
This book introduces the step-by-step processes involved in using MCDM methods, starting from problem formulation, model development, and criteria weighting to the final ranking of the alternatives. The authors explain the different MCDM methods that can be used in specific manufacturing environments. The book explains the conceptual frameworks of how these methods are applied with special focus on their applicability and usefulness. The authors begin with an introduction to multi-criteria decision-making, followed by explanations of 29 MCDM methods and their applications. The final sections of the book describe helpful normalization techniques and criteria weight measurement techniques. The collection of diverse range of manufacturing applications and case studies presented here will aid readers in applying cutting-edge MCDM methods to their own manufacturing projects. As both a research and teaching tool, this book encourages critical and logical thinking when applying MCDM methods for solving complex manufacturing decision-making problems.
Frontiers of Mechanical and Industrial Engineering

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eBook: Multi-Criteria Decision-Making Methods in Manufacturing Environments: Models and Applications (DRM PDF)

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Prasenjit Chatterjee 作者作品表

Mystic Labyrinth Tales: A Quest for Junior Trailblazers (Paperback)

An Interactive Journey for Inquisitive Minds (Paperback)

Computational Intelligence for Engineering and Management Applications: Select Proceedings of Ciema 2022 (2023) (Hardcover)

Machine Learning Algorithms for Engineering Applications: Future Trends and Research Directions (Hardcover)

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Sustainability Modeling In Engineering: A Multi-criteria Per (Hardcover)

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