Abstract
In manufacturing, capacity adjustment is one of the major effective measures to cope with demand fluctuations and machine breakdown. We propose a model predictive control (MPC) scheme to utilize the new type of reconfigurable machine tools (RMTs) for adjusting capacities within a job shop system. Our aim is to maintain a desired work in process (WIP) level and show stability of closed loop scheme by imposing equilibrium terminal conditions.
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Acknowledgments
The authors would like to thank the International Graduate School (IGS) of University of Bremen for support and help. The authors also thank the European Commission in the framework of Erasmus Mundus and within the projects gLINK.
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Zhang, Q., Pannek, J. (2018). Predictive Control of a Job Shop System with RMTs Using Equilibrium Terminal Constraints. In: Freitag, M., Kotzab, H., Pannek, J. (eds) Dynamics in Logistics. LDIC 2018. Lecture Notes in Logistics. Springer, Cham. https://doi.org/10.1007/978-3-319-74225-0_49
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DOI: https://doi.org/10.1007/978-3-319-74225-0_49
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