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) |
| Price | US$ 28,- |
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.