Multi-criteria Decision Analysis for Supporting the Selection of Engineering Materials in Product Design Paperback / softback
by Ali (Department of Industrial Engineering, Semnan Branch, Islamic Azad University, Semnan, Ir Jahan, Kevin L, Ph.D. (Kevin Edwards - Institution of Engineering Designers, Courtleigh, Westbury Edwards, Marjan (Department of Materials Engineering, Buein Zahra Technical University, Qazvin, Bahraminasab
Paperback / softback
Description
Multi-criteria Decision Analysis for Supporting the Selection of Engineering Materials in Product Design, Second Edition, provides readers with tactics they can use to optimally select materials to satisfy complex design problems when they are faced with the vast range of materials available. Current approaches to materials selection range from the use of intuition and experience, to more formalized computer-based methods, such as electronic databases with search engines to facilitate the materials selection process.
Recently, multi-criteria decision-making (MCDM) methods have been applied to materials selection, demonstrating significant capability for tackling complex design problems. This book describes the rapidly growing field of MCDM and its application to materials selection.
It aids readers in producing successful designs by improving the decision-making process.
This new edition updates and expands previous key topics, including new chapters on materials selection in the context of design problem-solving and multiple objective decision-making, also presenting a significant amount of additional case studies that will aid in the learning process.
Information
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Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:252 pages
- Publisher:Elsevier Science & Technology
- Publication Date:12/02/2016
- Category:
- ISBN:9780081005361
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:252 pages
- Publisher:Elsevier Science & Technology
- Publication Date:12/02/2016
- Category:
- ISBN:9780081005361