TY - JOUR
T1 - Asymmetric negotiation based collaborative product design for component reuse in disparate products
AU - Li, Jianzhi
AU - Zhang, Hong Chao
AU - Lin, Zhangxi
N1 - Funding Information:
This research is supported by US National Science Foundation under award # 0423465. Authors would also like to acknowledge Image Microsystems, Dell Inc. for their contribution in this paper. We would also like the express our sincere appreciation to all reviewers for their helpful inputs.
PY - 2009/8
Y1 - 2009/8
N2 - 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.
AB - 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.
KW - Collaborative product design
KW - Design for the environment
KW - Negotiation
KW - Negotiation support system
UR - http://www.scopus.com/inward/record.url?scp=67349225008&partnerID=8YFLogxK
U2 - 10.1016/j.cie.2008.11.021
DO - 10.1016/j.cie.2008.11.021
M3 - Article
AN - SCOPUS:67349225008
SN - 0360-8352
VL - 57
SP - 80
EP - 90
JO - Computers and Industrial Engineering
JF - Computers and Industrial Engineering
IS - 1
ER -