NDLI: Solving dynamic systems with multi-responses by integrating desirability function and data envelopment analysis

Content Provider	Springer Nature Link
Author	Al Refaie, Abbas Al Alaween, Wafa’a Diabat, Ali Li, Ming Hsien
Copyright Year	2014
Abstract	Today’s complexity of product design requires improving multiple quality characteristics. This research proposes an approach that integrates the desirability function and data envelopment analysis to enhance process performance with dynamic multi-responses. Firstly, the desirability function is employed. Then, data envelopment analysis is used to obtain the best settings of controllable factor levels that make the effect of noise factors as small as possible. Three case studies are utilized to demonstrate the effectiveness of the proposed approach, in all of which the proposed approach is found an effective procedure in reducing the effect of noise factors, does not need huge data for the analysis or any subjective information and human judgment, and can be used regardless of linearity or nonlinearity relationship between the signal factor and responses. Such advantages should provide great assistance to product engineers in improving performance of dynamic systems with multiple responses.
Starting Page	387
Ending Page	403
Page Count	17
File Format	PDF
ISSN	09565515
Journal	Journal of Intelligent Manufacturing
Volume Number	28
Issue Number	2
e-ISSN	15728145
Language	English
Publisher	Springer US
Publisher Date	2014-11-07
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Dynamic system Multi-responses Desirability function Data envelopment analysis Production Manufacturing, Machines, Tools Control, Robotics, Mechatronics
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Artificial Intelligence Software

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