Multi-criteria Decision Analysis for Supporting the Selection of Engineering Materials in Product Design (2nd Ed.)
Auteurs : Jahan Ali, Edwards Kevin L, Bahraminasab Marjan
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.
1. The Importance of Decision Support in Materials Selection 2. Materials Selection in the Context of Design Problem Solving 3. Screening of Materials 4. Multi-criteria Decision Making for Materials Selection 5. Multi-attribute Decision Making for Ranking of Candidate Materials 6. Multiple Objective Decision-Making for Material and Geometry Design 7. Case Studies of Materials Selection and Design 8. Future Developments
Researchers in materials engineering disciplines and in operational research in the area of multi criteria decision analysis; Also serves as a reference text for engineering practitioners (from aerospace to biomedical) to help select the best material(s) for advanced design applications.
Professor Edwards leads research and knowledge transfer in technology innovation. He also advises government and organisations on educational and professional standards development. Professor Edwards has had a diverse career with senior appointments in higher education, aerospace and automotive manufacturing industry, and engineering consultancy. His broad experience of academic management, curriculum development and quality assurance underpins his teaching, research and professional practice in advanced materials engineering, product design and innovation management, with particular expertise in design decision support, materials selection and new product development. Professor Edwards has worked on numerous large-scale collaborative multidisciplinary research programmes, resulting in the development of novel materials technologies and computer-based design tools. He publishes regularly, has participated in international conference scientific committees, chaired seminars and workshops, and is a member of the editorial boards of several journals.
Dr Ba
- Describes the advantages of Quality Function Deployment (QFD) in the materials selection process through different case studies
- Presents a methodology for multi-objective material design optimization that employs Design of Experiments coupled with Finite Element Analysis
- Supplements existing quantitative methods of materials selection by allowing simultaneous consideration of design attributes, component configurations, and types of material
- Provides a case study for simultaneous materials selection and geometrical optimization processes
Date de parution : 02-2016
Ouvrage de 252 p.
15x22.8 cm
Thèmes de Multi-criteria Decision Analysis for Supporting the... :
Mots-clés :
Complex materials selection; Concurrent materials and design selection; Creative problem-solving; Decision-making; Design decision-making; Experimental design; Finite element analysis; Fuzzy multi-attribute decision-making; Initial design stages; Integrated multiple criteria decision-making; Interval data; Lean design principles; Material design; Material design optimization; Material identification; Materials costs; Materials databases; Materials design and modeling; Materials selection; Materials selection charts; Materials substitution; Materials tailoring; Multi objective decision-making; Multi-attribute decision-making; Multi-criteria decision-making; Normalization; Product design; Quality function deployment; Response surface methodology; Screening of materials; Simultaneous material and design selection; Strategic materials selection; Structural optimization; TOPSIS; Target-based criteria; Uncertainty in materials selection; Use of guidelines; VIKOR; Weighting and ranking