A Negotiation Optimization Strategy of Collaborative Procurement with Supply Chain Based on Multi-Agent System
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-08-26
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
In the process of collaborative procurement, buyers and suppliers are prone to conflict in cooperation due to differences in needs and preferences.
Negotiation is a crucial way to resolve the conflict.
Aimed at ameliorating the situations of underdeveloped self-adaptive learning effect of current collaborative procurement negotiation, this paper constructs a negotiation model based on multi-agent system and proposes a negotiation optimization strategy combined with machine learning.
It provides a novel perspective for the analysis of intelligent SCM.
The experimental results suggest that the proposed strategy improves the success rate of self-adaptive learning and joint utility of agents compared with the strategy of single learning machine, and it achieves win-win cooperation between purchasing enterprise and supplier.
American Psychological Association (APA)
Chen, Chouyong& Xu, Chao. 2018. A Negotiation Optimization Strategy of Collaborative Procurement with Supply Chain Based on Multi-Agent System. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1207560
Modern Language Association (MLA)
Chen, Chouyong& Xu, Chao. A Negotiation Optimization Strategy of Collaborative Procurement with Supply Chain Based on Multi-Agent System. Mathematical Problems in Engineering No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1207560
American Medical Association (AMA)
Chen, Chouyong& Xu, Chao. A Negotiation Optimization Strategy of Collaborative Procurement with Supply Chain Based on Multi-Agent System. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1207560
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1207560