Agent-Based Enhancement of Legacy Manufacturing Planning and Control Processes
F. Haniche1, H. Drias2, M. R. Muhamed3, M. Kamalrudin4
1F. Haniche, Department of Mathematics and Informatics, University of Khemis Miliana of UDKBM.
2H. Drias, Department of Computer Sciences, USTHB, Algeria.
3M. R. Muhamed, Advanced Manufacturing Centre, Fakulti Kejuruteraan Pembuatan, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Durian Tunggal, Melaka, Malaysia.
4M. Kamalrudin, Centre for Advanced Computing Technology, Fakulti Teknologi Maklumatdan Komunikasai, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Durian Tunggal, Melaka, Malaysia.
Manuscript received on 24 May 2019 | Revised Manuscript received on 11 June 2019 | Manuscript Published on 26 June 2019 | PP: 104-108 | Volume-8 Issue-1S5 June 2019 | Retrieval Number: A00190681S519/2019©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Nowadays, the industrial company are attached with a very competitive and Highly dynamic Environment that require a rapid reaction in order To avoid the accumulation of defects in the execution plans and to ensure a better control of the manufacturing and supply plans while communicating the real-time situation to the customers vis-à-vis their orders. In this paper we propose a multi Agents system that enhances the capacity of manufacturing legacy systems for maintaining an updated planning according to real-time situations. The proposed system will be integrated with the legacy system and add to it new capabilities such as autonomy, speed, decision making support and intelligence. The logic and the architecture of the system were inspired from the human organization and behaviours adopted in manufacturing planning and control activity.
Keywords: Multi-Agent System; Legacy Systems; Manufacturing Planning and Control; Interaction Protocol.
Scope of the Article: Control and Automation