Paper Title:

A Multi-Enterprise Dynamic Scheduling Model Based on Multi-Agent System

Periodical Key Engineering Materials (Volumes 474 - 476)
Main Theme Advanced Materials and Computer Science
Edited by Garry Zhu
Pages 2020-2025
DOI 10.4028/www.scientific.net/KEM.474-476.2020
Citation Jing Hua Zhao et al., 2011, Key Engineering Materials, 474-476, 2020
Online since April, 2011
Authors Jing Hua Zhao, Jie Lin
Keywords Ant Colony Algorithm (ACA), Multi-Agent System (MAS), Production Scheduling, Supply Chain Management (SCM)
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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.