Earticle

초록

영어

Considering production and marketing coordination between supply chain enterprises, this paper specifies a multi-agent supply chain concurrent negotiation model for two-stage supply chain in the supply chain environment. Coordinator is used to search optimal proposals based on particle swarm optimization (PSO) and send these proposals to other threads. Proposal strategies based on retention value and time are put forward by learning retention value of rivals through Parzen-window estimation. Simulation experiment is conducted to test negotiation performance of the model. Compared with ordinary models, the model makes two improvements as follows: (1)PSO is inserted into coordinator to improve negotiation efficiency; (2) Proposal strategies are effectively supported by Parzen-window estimation and enable agents to consider the retention values of rivals. Further researches need to be done to study trust relationship between agents and influence of external environment on supply chain negotiation solution.

목차

Abstract
 1. Introduction
 2. Concurrent Negotiation Model
  2.1. Model Framework
  2.2. Setup of Major Parameters
  2.3. Proposal Strategies
 3. PSO-based Coordination Strategy
 4. Description of Negotiation Procedures
 5. Experiment
 6. Conclusion
 References

키워드

저자

• Han Fang [ College of Mechanical & Electrical Engineering, ShaanXi University of Science & Technology , Xi'An , China ]
• Yang Yongqiang [ College of Mechanical & Electrical Engineering, ShaanXi University of Science & Technology , Xi'An , China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Smart Home

• 간기

  격월간

• pISSN

  1975-4094

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605