DocumentCode
2794507
Title
Study on new coordination mechanisms of generalized supply chains with loss-averse agents+
Author
Tian, Yu ; Gong, Yan-xue ; Sun, Shao-chao
Author_Institution
Coll. of Logistics Eng., Shanghai Maritime Univ., Shanghai, China
fYear
2009
fDate
17-19 June 2009
Firstpage
4288
Lastpage
4293
Abstract
Behavioral factors become one of the main concerns of research on supply chains. The modeling and coordination issues are addressed among supply chains with loss-averse agents. Specifically, a generalized supply chain model is firstly established under the framework of behavioral decision theory and Pareto optimality, and then the optimal sharing rules and joint action pairs are successively derived. Furthermore, the coordination problem is examined in a two-stage specific case. It indicates that the limitation exists in traditional buyback and revenue sharing contracts, and two incentive restraint mechanisms based on gain-loss sharing contract are proposed to help accomplish the optimum performance.
Keywords
Pareto optimisation; supply chains; Pareto optimality; behavioral decision theory; behavioral factors; buyback sharing contract; coordination mechanisms; gain-loss sharing contract; generalized supply chains; joint action pairs; loss-averse agents; optimal sharing rules; revenue sharing contract; Automation; Contracts; Decision theory; Educational institutions; Logistics; Manufacturing; Standards development; Sun; Supply chain management; Supply chains; Coordination Mechanism; Gain/loss Sharing; Loss-averse; Pareto Optimality; Supply Chain;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location
Guilin
Print_ISBN
978-1-4244-2722-2
Electronic_ISBN
978-1-4244-2723-9
Type
conf
DOI
10.1109/CCDC.2009.5192535
Filename
5192535
Link To Document