A decision support system for product design selection: A generalized purchase modeling approach

被引:44
|
作者
Besharati, B.
Azarm, S. [1 ]
Kannan, P. K.
机构
[1] Univ Maryland, A James Clark Sch Engn, Dept Mech Engn, College Pk, MD 20742 USA
[2] Univ Maryland, Robert H Smith Sch Business, Dept Mkt, College Pk, MD 20742 USA
基金
美国国家科学基金会;
关键词
product design selection; selection under uncertainty; multi-attribute decision making;
D O I
10.1016/j.dss.2005.01.002
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Selection of a final design for a new product that is to be introduced in the market is a very critical step in the new product development process. The selection needs to consider three factors of importance: anticipated market demand for the design, designers' preferences, and uncertainty in achieving predicted design attribute levels under different usage conditions and situations. We propose a generalized purchase modeling approach that considers all of the above factors and develop a customer based expected utility metric that forms the basis for a Decision Support System (DSS) for supporting the selection in product design. We illustrate the modeling approach and the use of DSS with the help of a case example that highlights the utility of the proposed DSS. (c) 2005 Elsevier B.V. All rights reserved.
引用
收藏
页码:333 / 350
页数:18
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