A cooperative game model of supply chain logistics information based on collaborative immune quantum particle swarm optimisation
by Jing Xue; Jina Cui
International Journal of Manufacturing Technology and Management (IJMTM), Vol. 36, No. 2/3/4, 2022

Abstract: Due to the problems of poor stability and low degree of cooperation in information cooperative game, a cooperative game model of supply chain logistics information based on collaborative immune quantum particle swarm optimisation is proposed. Taking the breadth and depth of supply chain logistics information sharing as the evaluation objective, the cooperative game model of supply chain logistics information is constructed by setting the cooperative conditions of game and the stable strategy of information sharing and dynamic game. The Nash equilibrium solution in the cooperative game model of supply chain logistics information is taken as the optimisation particle, the global optimal solution of the cooperative game model of supply chain logistics information is obtained, and the design of the cooperative game model of supply chain logistics information is completed. The experiment shows that the maximum stability coefficient of supply chain logistics information cooperation of the proposed model is about 0.91.

Online publication date: Thu, 30-Jun-2022

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Manufacturing Technology and Management (IJMTM):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com