Abstract
A reconfigurable manufacturing system (RMS) is one of the attractive production paradigms that has emerged to face the challenges in the market. Moreover, in a real production system, machines may be out of reach because of various reasons, such as inspection, periodic maintenance, and sudden breakdown. Implementing a proper schedule in this environment can have a significant impact on the growth and success of manufacturing companies. In this regard, this paper deals with scheduling in a reconfigurable job shop environment consisting of flexible maintenance operations. To this aim, a mixed-integer linear programming (MILP) model is presented to minimize the makespan. Regarding the high complexity of the problem and the industrial need of having good solutions in a short time, a constraint programming (CP) model is developed as well. Then, a computational experiment and sensitivity analysis are conducted. The presented models are assessed by solving a series of test problems. It is concluded that the proposed CP model significantly outperforms the MILP model for large-sized instances.
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This work was supported by the Grant Agency of the Czech Republic under the Project GACR 22-31670S.
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Mehdizadeh-Somarin, Z., Tavakkoli-Moghaddam, R., Rohaninejad, M., Hanzalek, Z., Vahedi-Nouri, B. (2023). A Constraint Programming Model for a Reconfigurable Job Shop Scheduling Problem with Machine Availability. In: Alfnes, E., Romsdal, A., Strandhagen, J.O., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures. APMS 2023. IFIP Advances in Information and Communication Technology, vol 691. Springer, Cham. https://doi.org/10.1007/978-3-031-43670-3_33
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