@article {21219,
	title = {A multi-agent system for distributed maintenance scheduling},
	journal = {Computers \& Electrical Engineering (Elsevier, Impact factor: 2.189)},
	volume = {77},
	year = {2019},
	note = {Elsevier, 2019, \&nbsp;Impact factor: 2.189},
	pages = {1-11},
	abstract = {
	Due to the intrinsically geo-distributed subcontracting maintenance activity practice, the maintenance scheduling has for a long time been a major challenge in the industry. This research work presents a methodology to schedule the maintenance activities of geo-distributed assets. A multi-agent system based approach is proposed to enable the decision-making for the subcontractors in a distributed industrial environment under uncertainty. An auction based negotiation mechanism is designed to promote competition and cooperation among the different agents, and to obtain global good schedule.Compared to the\&nbsp;Weighted Shortest Processing Time first{\textendash}Heuristic{\textendash}Earliest Due Date (WSPT-H-EDD) method,\&nbsp;the experimental results show that the proposed approach is able to provide scheduling scheme with good performances in terms of Global Cost, Total Weighted Tardiness Cost and makespan

},
	url = {https://www.sciencedirect.com/science/article/pii/S004579061832620X$\#$aep-article-footnote-id1},
	author = {Hedjazi, D. and Layachi, F and Djallel Eddine Boubiche}
}
