Robust maintenance planning and scheduling for multi-factory production networks considering disruption cost: a bi-objective optimization model and a metaheuristic solution method

The intense competition in the global business market has forced organizations to move from centralized to decentralized structures and develop multi-factory production (MFP) networks. In MFP networks, a well-designed maintenance system is critical for increasing the life cycle of the machine and re...

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Veröffentlicht in:	Operational research 2022-11, Vol.22 (5), p.4999-5034
Hauptverfasser:	Razavi Al-e-hashem, Seyed Ahmad, Papi, Ali, Pishvaee, Mir Saman, Rasouli, Mohammadreza
Format:	Artikel
Sprache:	eng
Schlagworte:	Business and Management Case studies Computational Intelligence Disruption Factories Failure Genetic algorithms Heuristic methods Industrial plants Integer programming Linear programming Maintenance costs Management Science Manufacturing Methods Networks Operations Research Operations Research/Decision Theory Optimization Optimization models Original Paper Parameter robustness Product quality Production scheduling Productivity Robustness Scheduling Uncertainty
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