MCDM-Based Decision Support System for Product Design and Development

2021 ◽  
pp. 575-584
Author(s):  
Prabhat Kumar ◽  
Ayan Tiwari
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Product Design ◽  
Support System ◽  
Design And Development

Increasing resource efficiency with an engineering decision support system for comparison of product design variants

2019 ◽  
Vol 210 ◽  
pp. 1051-1062 ◽  
Author(s):  
Tom Buchert ◽  
Nathanael Ko ◽  
Roberta Graf ◽  
Thomas Vollmer ◽  
Moritz Alkhayat ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Product Design ◽  
Support System ◽  
Resource Efficiency

A decision support system for integrating manufacturing and product design into the reconfiguration of the supply chain networks

2012 ◽  
Vol 52 (4) ◽  
pp. 790-801 ◽  
Author(s):  
Yohanes Kristianto ◽  
Angappa Gunasekaran ◽  
Petri Helo ◽  
Maqsood Sandhu
Keyword(s):  
Supply Chain ◽  
Decision Support ◽  
Decision Support System ◽  
Product Design ◽  
Support System ◽  
Supply Chain Networks

A Marketing Decision Support System for Product Design Based on an Outranking Approach

2020 ◽  
pp. 303-325
Author(s):  
Juan Carlos Leyva López ◽  
Juan Francisco Figueroa Pérez ◽  
Edgar Omar Pérez Contreras ◽  
Pedro Sánchez Sánchez
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Product Design ◽  
Support System ◽  
Marketing Decision

CBR-DFMA: A Case-Based System Used to Assembly Part Design in the Early Design Stage

2006 ◽  
Author(s):  
Guanghsu A. Chang ◽  
Cheng-Chung Su ◽  
John W. Priest
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Product Design ◽  
Support System ◽  
Design Stage ◽  
Early Design ◽  
Early Design Stage ◽  
Intelligent Decision Support System ◽  
Intelligent Decision ◽  
Intelligent Decision Support

Many conflicting issues exist between product design and manufacturing department. In the early design stage, designers often do not have enough expertise to successfully address all these issues. This results in a product design with a low level of assemblability and manufacturability. Hence, an intelligent decision support system is needed for early design stages to improve a design. This paper proposed a web-based intelligent decision support system, CBR-DFMA, connecting with a case base, database and knowledge base. Early experimental results indicate that potential design problems can be detected in advance, design expertise can be effectively disseminated and effective training is offered to designer by employing this system.

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