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
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;
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
DOI :
10.1109/CCDC.2009.5192535