Benchmarking and robust multi-agent-based production planning and control

被引：15

作者：

Frey, D

Nimis, J

Wörn, H

Lockemann, P

机构：

[1] Univ Karlsruhe, Inst Proc Control & Robot, D-76131 Karlsruhe, Germany

[2] Univ Karlsruhe, Inst Program Struct & Data Org, D-76128 Karlsruhe, Germany

来源：

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE | 2003年 / 16卷 / 04期

关键词：

modelling; simulation; production planning; scheduling; flexibility; reliability and multi-agent approach;

D O I：

10.1016/S0952-1976(03)00075-7

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Multi-agent systems (MAS) offer new perspectives compared to conventional, centrally organised architectures in the scope of production planning and control. They are expected to be more flexible and robust while dealing with a turbulent production environment and disturbances. In this paper, an MAS is developed and compared to an Operations Research Job-Shop algorithm using a simulation-based benchmarking scenario. Environmental constraints for a successful application of MAS are identified and classified. Furthermore, the topic of MAS robustness is addressed by applying database technologies on the basis of transactions. (C) 2003 Elsevier Ltd. All rights reserved.

引用

页码：307 / 320

页数：14

共 23 条

[1] Reactive scheduling using a multi-agent model: the SCEP framework [J].