Abstract
The paper discusses the problem of power consumption optimization in flexible manufacturing cells. In today’s world many companies are orienting their shop floor processes towards sustainability in order to obtain financial benefits by reducing power consumption during production (energy costs being in an ascending trend), and also for obtaining support from governmental and independent organizations programs. This study focuses on the optimization of power consumption in manufacturing processes by combining operations sequencing with resource allocation in order to obtain the minimum power consumption for a given batch of orders. The decision making algorithm relies on a decentralized system collecting data about resources’ power consumption; the optimization problem is implemented using ILOG OPL.
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Acknowledgments
This work is supported by the Sectoral Operational Programme Human Resources Development (SOP HRD), financed from the European Social Fund and the Romanian Government under the contract number POSDRU/159/1.5/S/137390/.
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Raileanu, S., Anton, F., Iatan, A., Borangiu, T., Anton, S. (2015). Optimizing Power Consumption in Robotized Job-Shop Manufacturing. In: Borangiu, T., Thomas, A., Trentesaux, D. (eds) Service Orientation in Holonic and Multi-agent Manufacturing. Studies in Computational Intelligence, vol 594. Springer, Cham. https://doi.org/10.1007/978-3-319-15159-5_2
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