Abstract
The paper proposes an agent-based approach for measuring in real time energy consumption of resources in job-shop manufacturing processes. Data from industrial robots is collected, analysed and assigned to operation types, and then integrated in an optimization engine in order to estimate how alternating between makespan and energy consumption as objective functions affects the performances of the whole system. This study focuses on the optimization of energy consumption in manufacturing processes through operation scheduling on available resources. The decision making algorithm relies on a decentralized system collecting data about resources implementing thus an intelligent manufacturing control system; the optimization problem is implemented using IBM ILOG OPL.
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Acknowledgments
This work is partially supported by the Sectoral Operational Program 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/ of the University Politehnica of Bucharest.
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The corresponding author has the approval of all other listed authors for the submission and publication of all versions of the manuscript entitled: “Resource scheduling based on energy consumption for sustainable manufacturing”. All authors of the submission have made a significant independent contribution and that no one who justifies being an author has been omitted from authorship. The manuscript has not been submitted to more than one journal for simultaneous consideration. No data have been fabricated or manipulated (including images) to support your conclusions.
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Raileanu, S., Anton, F., Iatan, A. et al. Resource scheduling based on energy consumption for sustainable manufacturing. J Intell Manuf 28, 1519–1530 (2017). https://doi.org/10.1007/s10845-015-1142-5
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DOI: https://doi.org/10.1007/s10845-015-1142-5