Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5467053 | CIRP Journal of Manufacturing Science and Technology | 2017 | 10 Pages |
Abstract
Many of the problems of manufacturing systems, including scheduling, are NP-hard and therefore cannot be solved and optimized in real time as required in the real world. This paper investigates the possibility of controlling manufacturing systems while maximizing the enterprise profit in a stochastic and dynamically varying environment. In this research, we developed a multi-agents system that operates on the factory floor level and directly controls the manufacturing system. The paper examines the proposed multi-agents system, demonstrates its feasibility by simulation under various experimental settings, presents important findings and excellent results, and draws conclusions.
Related Topics
Physical Sciences and Engineering
Engineering
Industrial and Manufacturing Engineering
Authors
Miri Weiss-Cohen, Michael Mitnovizky, Moshe Shpitalni,