國立虎尾科技大學 |

Customer Oriented Product Design = Intelligent and Fuzzy Techniques /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Customer Oriented Product Design/ edited by Cengiz Kahraman, Selcuk Cebi.
其他題名:	Intelligent and Fuzzy Techniques /
其他作者:	Cebi, Selcuk.
面頁冊數:	XV, 481 p. 117 illus., 77 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Engineering Design. -
電子資源:	https://doi.org/10.1007/978-3-030-42188-5
ISBN:	9783030421885

Customer Oriented Product Design = Intelligent and Fuzzy Techniques /
Customer Oriented Product DesignIntelligent and Fuzzy Techniques /[electronic resource] :edited by Cengiz Kahraman, Selcuk Cebi. - 1st ed. 2020. - XV, 481 p. 117 illus., 77 illus. in color.online resource. - Studies in Systems, Decision and Control,2792198-4182 ;. - Studies in Systems, Decision and Control,27.

Introduction to Customer Oriented Product Design -- Customer Oriented Product Design using Quality Function Deployment -- Customer Oriented Product Design using Axiomatic Design Method -- Customer Oriented Product Design using Kano Model Method -- Customer Oriented Product Design using MCDM and Heuristics Algorithm -- Customer Oriented Product Design using Other Methods.

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. .

ISBN: 9783030421885

Standard No.: 10.1007/978-3-030-42188-5doiSubjects--Topical Terms:

670857
Engineering Design.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Customer Oriented Product Design = Intelligent and Fuzzy Techniques /
LDR:02987nam a22004095i 4500 001 1024304
003 DE-He213
005 20200705004713.0
007 cr nn 008mamaa
008 210318s2020 gw | s |||| 0|eng d
020 $a 9783030421885 $9 978-3-030-42188-5
024 7 $a 10.1007/978-3-030-42188-5 $2 doi
035 $a 978-3-030-42188-5
050 4 $a Q342
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
245 1 0 $a Customer Oriented Product Design $h [electronic resource] : $b Intelligent and Fuzzy Techniques / $c edited by Cengiz Kahraman, Selcuk Cebi.
250 $a 1st ed. 2020.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a XV, 481 p. 117 illus., 77 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Studies in Systems, Decision and Control, $x 2198-4182 ; $v 279
505 0 $a Introduction to Customer Oriented Product Design -- Customer Oriented Product Design using Quality Function Deployment -- Customer Oriented Product Design using Axiomatic Design Method -- Customer Oriented Product Design using Kano Model Method -- Customer Oriented Product Design using MCDM and Heuristics Algorithm -- Customer Oriented Product Design using Other Methods.
520 $a 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. .
650 2 4 $a Engineering Design. $3 670857
650 1 4 $a Computational Intelligence. $3 768837
650 0 $a Engineering design. $3 560518
650 0 $a Computational intelligence. $3 568984
700 1 $a Cebi, Selcuk. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1320431
700 1 $a Kahraman, Cengiz. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 682908
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030421878
776 0 8 $i Printed edition: $z 9783030421892
776 0 8 $i Printed edition: $z 9783030421908
830 0 $a Studies in Systems, Decision and Control, $x 2198-4182 ; $v 27 $3 1254124
856 4 0 $u https://doi.org/10.1007/978-3-030-42188-5
912 $a ZDB-2-INR
912 $a ZDB-2-SXIT
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)
950 $a Intelligent Technologies and Robotics (R0) (SpringerNature-43728)