Paper Title:
A Multi-Enterprise Dynamic Scheduling Model Based on Multi-Agent System
  Abstract

The coordination of multi-enterprise production scheduling with partial information sharing is important in supply chain management. This paper proposes a multi-enterprise scheduling model based on ant colony algorithm. The model managed by agents and the enterprises interact with each other to evaluate the schedules, and build new schedules if any other enterprise is unsatisfied with the status quo. This process will repeat until all enterprises are satisfied with the schedules. Finally, the paper takes an example shows that the algorithm is effective and feasible.

  Info
Periodical
Key Engineering Materials (Volumes 474-476)
Edited by
Garry Zhu
Pages
2020-2025
DOI
10.4028/www.scientific.net/KEM.474-476.2020
Citation
J. H. Zhao, J. Lin, "A Multi-Enterprise Dynamic Scheduling Model Based on Multi-Agent System", Key Engineering Materials, Vols. 474-476, pp. 2020-2025, 2011
Online since
April 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Yong Xian Liu, J. Xiong, B.M. Sun
Abstract:Job-shop dynamic scheduling is an important subject in the fields of production management and combinatorial optimization. It is usually...
109
Authors: Peng Cheng Wei, Xi Shi
Abstract:Based on particle swarm optimization algorithm, this paper presents a grid scheduling optimization algorithm combing the advantages of Ant...
392
Authors: Lie Ping Zhang, Yun Sheng Zhang
Abstract:In order to improve the production of process industry, the ant colony system(ACS) was applied to the production scheduling problem. Based on...
519
Authors: Jing Hua Zhao, Jie Lin
Chapter 4: Mechatronics and Information
Abstract:In the dynamic production environment of supply chain, based on information sharing among enterprises of supply chain, this paper designs an...
2021
Authors: Yan Li
Chapter 5: Information Processing and Computational Science
Abstract:Multiprocessor Scheduling is a problem of discrete optimization. The strong optimization capacity of Ant Colony Algorithm (ACA) on solving...
1235