Springer Customer Oriented Product Design: Intelligent and Fuzzy Techniques: 279 (Studies in Systems, Decision and Control, 279)

This book offers a comprehensive reference guide to customer-oriented product design and intelligence. It provides readers with the necessary intelligent tools for designing customer-oriented products in contexts characterized by incomplete information or insufficient data, where classical product design approaches cannot be applied. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts including fuzzy QFD, fuzzy FMEA, the fuzzy Kano model, fuzzy axiomatic design, fuzzy heuristics-based design, conjoint analysis-based design, and many others. To foster reader comprehension, all chapters include relevant numerical examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers, and postgraduate students pursuing research on customer-oriented product design. Moreover, by extending all the main aspects of classical customer-oriented product design to its intelligent and fuzzy counterparts, the book presents a dynamic snapshot of the field that is expected to stimulate new directions, ideas, and developments.  From the Back Cover This book offers a comprehensive reference guide to customer-oriented product design and intelligence. It provides readers with the necessary intelligent tools for designing customer-oriented products in contexts characterized by incomplete information or insufficient data, where classical product design approaches cannot be applied. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts including fuzzy QFD, fuzzy FMEA, the fuzzy Kano model, fuzzy axiomatic design, fuzzy heuristics-based design, conjoint analysis-based design, and many others. To foster reader comprehension, all chapters include relevant numerical examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers, and postgraduate students pursuing research on customer-oriented product design. Moreover, by extending all the main aspects of classical customer-oriented product design to its intelligent and fuzzy counterparts, the book presents a dynamic snapshot of the field that is expected to stimulate new directions, ideas, and developments.  About the Author Cengiz Kahraman is a full Professor at Industrial Engineering Department of Istanbul Technical University (ITU). His research areas are engineering economics, quality management, statistical decision making, multicriteria decision making, and fuzzy decision making. He published about 200 journal papers and about 150 conference papers. He is in the editorial boards of many international journals and edited about 10 international books from Springer and Atlantis Press. He guest-edited many special issues of international journals and organized international conferences.  Selcuk Cebi is currently a Professor of Industrial Engineering at Yildiz Technical University. He received the degree of Ph.D. from Industrial Engineering Program of Istanbul Technical University in 2010 and the degree of MSc from Mechanical Engineering Department of Karadeniz Technical University in 2004.  His current research interests are Customer oriented product development, Decision support systems, Multiple Criteria Decision Making, and Risk Management. He achieved the publications of international journal papers more than 40 articles having over 2000 total citations with the related research topics.