Research of Co-competition Evolutionary of Supply Chain Networks Based on Penalties and Bonuses Incentive Mechanism

Author

Haisheng, Yu ; Lindu, Zhao ; Yinghong, Long

Author_Institution

Univ. of Southeast, Nanjing

fYear

2007

fDate

18-21 Aug. 2007

Firstpage

2208

Lastpage

2211

Abstract

A simple incentive mechanism based on penalties and bonuses to enhance supply chain networks (SCNs) cooperation is introduced. SCNs is regarded as one "learning" gradually evolutionary system, and game theory is applied to research the co-competition evolutionary of SCNs. Firstly, SCNs topology model is presented based on the analysis of small world and scale free characters. And secondly, the co-competition evolutionary game model is constructed mixed the penalties and bonuses incentive mechanism. Finally, the simulation results illuminate the incentive mechanism could accelerate cooperation emergency and advance the cooperation levels of SCNs.

Keywords

evolutionary computation; game theory; incentive schemes; supply chain management; topology; SCN topology model; bonus incentive mechanism; co-competition evolutionary game model; learning gradually evolutionary system; penalty incentive mechanism; supply chain networks; Evolution (biology); Game theory; Genetic mutations; Incentive schemes; Intelligent robots; Logistics; Robotics and automation; Stability; Supply chain management; Supply chains; Co-competition; Evolutionary; Game; Incentive; Supply Chain Networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Automation and Logistics, 2007 IEEE International Conference on

Conference_Location

Jinan

Print_ISBN

978-1-4244-1531-1

Type

conf

DOI

10.1109/ICAL.2007.4338942

Filename

4338942