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Title: Dynamic agent-based bi-objective robustness for tardiness and energy in a dynamic flexible job shop
Authors: Alotaibi, Abdulaziz
Lohse, Niels
Manh Vu, Tuong
Keywords: Dynamic scheduling
Multi - agent system
Flexible job Shops
Energy saving
Random disruptions
Issue Date: 2016
Publisher: © The Authors. Published by Elsevier
Citation: ALOTAIBI, A., LOHSE, N. and MANH VU, T., 2016. Dynamic agent-based bi-objective robustness for tardiness and energy in a dynamic flexible job shop. Procedia Cirp, 57, pp.728-733.
Abstract: Nowadays, manufacturing systems are shifting rapidly with the significant change in technology, business, and industry to become more complex and involved in more difficult issues, customised products, variant services and products, unavailable machines, and rush jobs. In the current practices, there are limited models or approaches that are dealing with these complexities. Most of the scheduling models in literature are proposed as centralised approaches. Researchers recently started to pay attention to reduce energy consumption in manufacturing due to the rising cost and the environmental impact. The energy consumption factor has been lately introduced into scheduling research among other traditional objectives such as time, cost and quality. Although reducing energy in manufacturing systems is very important, few researchers have considered energy consumption factor into scheduling in dynamic flexible manufacturing systems. This paper proposes an agent-based dynamic bio-objective robustness for energy and time in a job shop. Two types of agent are introduced which are machine agent and product agent. A new decision making and negotiation model for multi-agent systems is developed. Two types of dynamic unexpected events in the shop floor are introduced: dynamic job arrival and machines breakdown. A case study is provided in order to verify the result.
Description: This is an Open Access Article. It is published by Elsevier under the Creative Commons Attribution NonCommercial-NoDerivatives 4.0 Unported Licence (CC BY-NC-ND). Full details of this licence are available at: http://creativecommons.org/licenses/by-nc-nd/4.0/ It was presented at the 49th CIRP Conference on Manufacturing Systems (CIRP-CMS 2016), Stuttgart, Germany, May 25-27th.
Sponsor: The reported work has been partially funded by the EPSRC Centre for Innovated Manufacturing in Intelligent Automation (EP/I033467/1).
Version: Published version
DOI: 10.1016/j.procir.2016.11.126
URI: https://dspace.lboro.ac.uk/2134/22145
Publisher Link: http://dx.doi.org/10.1016/j.procir.2016.11.126
ISSN: 2212-8271
Appears in Collections:Conference Papers and Presentations (Mechanical, Electrical and Manufacturing Engineering)

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