Asymmetric negotiation based collaborative product design for component reuse in disparate products

被引:10
作者
Li, Jianzhi [1 ]
Zhang, Hong-Chao [2 ]
Lin, Zhangxi [3 ]
机构
[1] Univ Texas Pan Amer, Dept Mfg Engn, Edinburg, TX 78539 USA
[2] Texas Tech Univ, Dept Ind Engn, Lubbock, TX 79410 USA
[3] Texas Tech Univ, Rawls Coll Business Adm, Lubbock, TX 79410 USA
基金
美国国家科学基金会;
关键词
Design for the environment; Negotiation; Collaborative product design; Negotiation support system; AGENT-BASED APPROACH; ISSUE TRADE-OFFS; AUTOMATED NEGOTIATION; SUPPORT; IMPLEMENTATION; MODULARIZATION; MANAGEMENT; CRITERIA; SYSTEM; IMPACT;
D O I
10.1016/j.cie.2008.11.021
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper presents a negotiation based collaborative product design approach for component reuse in disparate products. While decision-based-design concept is used to model the product design as a decision-making process, negotiation is utilized for effective collaboration and value tradeoffs for manufacturers that are involved in components reuse. To reduce the efforts required in generating offers/counteroffers in the negotiation process, an asymmetric negotiation mechanism is created, which calls for only feedbacks of the achievement level of the negotiators. fuzzy inference approach is used to elicit preference structure of the designers based on their feedback to reduce negotiation time and efforts. The paper also presents the Pareto optimal points prediction using second order Taylor series, so that an optimal design can be jointly determined by all designers from different manufacturers. A case study is provided to demonstrate the methodologies and software developed in this paper. Published by Elsevier Ltd.
引用
收藏
页码:80 / 90
页数:11
相关论文
共 45 条
[1]   An evolutionary computation approach to electricity trade negotiation [J].
Al-Agtash, SY ;
Al-Fahoum, AA .
ADVANCES IN ENGINEERING SOFTWARE, 2005, 36 (03) :173-179
[2]  
[Anonymous], 2002, Fuzzy Reasoning in Decision Making and Optimization
[3]  
[Anonymous], 1994, Materials and Design
[4]   Methodologies for the design of negotiation protocols on E-markets [J].
Bichler, M ;
Segev, A .
COMPUTER NETWORKS-THE INTERNATIONAL JOURNAL OF COMPUTER AND TELECOMMUNICATIONS NETWORKING, 2001, 37 (02) :137-152
[5]   Intelligent agents for e-marketplace: Negotiation with issue trade-offs by fuzzy inference systems [J].
Cheng, Chi-Bin ;
Chan, Chu-Chai Henry ;
Lin, Kun-Cheng .
DECISION SUPPORT SYSTEMS, 2006, 42 (02) :626-638
[6]  
Chira C, 2005, LECT NOTES ARTIF INT, V3533, P155
[7]   An empirical study of the efficacy of a computerized negotiation support system (NSS) [J].
Delaney, MM ;
Foroughi, A ;
Perkins, WC .
DECISION SUPPORT SYSTEMS, 1997, 20 (03) :185-197
[8]   How to select fair improving directions in a negotiation model over continuous issues [J].
Ehtamo, H ;
Verkama, M ;
Hämäläinen, RP .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS, 1999, 29 (01) :26-33
[9]   Interactive multiple-criteria methods for reaching Pareto optimal agreements in negotiations [J].
Ehtamo, H ;
Hämäläinen, RP .
GROUP DECISION AND NEGOTIATION, 2001, 10 (06) :475-491
[10]   Using similarity criteria to make issue trade-offs in automated negotiations [J].
Faratin, P ;
Sierra, C ;
Jennings, NR .
ARTIFICIAL INTELLIGENCE, 2002, 142 (02) :205-237