An Evolutionary Game Model in Closed-Loop Supply Chain

Ziang Liu, Tatsushi Nishi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

An evolutionary game model is investigated to study the stability conditions for four different reverse channel structures in the closed-loop supply chain. The proper channel structures are analyzed for the given conditions. We consider one centrally coordinated model and three decentralized models that consist of manufacturer collection, retailer collection, and third-party collection model. The profit function is maximized for the centralized model and Stackelberg equilibriums are obtained for the other three decentralized models. Using the optimal profit functions, an evolutionary game model is proposed. On the basis of the stable conditions, we propose a profit sharing allocation method that can make the centralized supply chain model stable from a long-term view. Also, several numerical experiments are conducted. The results show that the coordinated channel structure is preferable over other structures with a proper profit sharing allocation method.

Original languageEnglish
Title of host publication2019 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2019
PublisherIEEE Computer Society
Pages896-900
Number of pages5
ISBN (Electronic)9781728138046
DOIs
Publication statusPublished - Dec 2019
Externally publishedYes
Event2019 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2019 - Macao, Macao
Duration: Dec 15 2019Dec 18 2019

Publication series

NameIEEE International Conference on Industrial Engineering and Engineering Management
ISSN (Print)2157-3611
ISSN (Electronic)2157-362X

Conference

Conference2019 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2019
CountryMacao
CityMacao
Period12/15/1912/18/19

Keywords

  • Closed-loop supply chain
  • replicator dynamics
  • Stackelberg equilibrium

ASJC Scopus subject areas

  • Business, Management and Accounting (miscellaneous)
  • Industrial and Manufacturing Engineering
  • Safety, Risk, Reliability and Quality

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