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Assessment of mathematical programming and agent-based modelling for off-line scheduling: Application to energy aware manufacturing

Abstract : State-of-the-art approaches to energy aware scheduling can be centralized or decentralized, predictive or reactive, and they can use methods ranging from mathematical programming to agent-based distributed models. In this paper two methodologies are compared for off-line scheduling, for energy intensive manufacturing systems by using a real industrial case, specifically manufacturing by injection moulding. A multi-objective scheduling problem requiring the minimization of the jobs tardiness and energy consumption is faced. A mixed integer programming formulation and a multi-agent approach are proposed and evaluated. Their advantages and drawbacks are pointed out for off-line energy-aware scheduling.
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https://hal-uphf.archives-ouvertes.fr/hal-03426837
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Submitted on : Friday, November 12, 2021 - 3:47:50 PM
Last modification on : Saturday, November 13, 2021 - 3:53:18 AM

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Flavio Tonelli, Alessandro Guiseppe Bruzzone, Massimo Paolucci, Emanuele Carpanzano, Giancarlo Nicolò, et al.. Assessment of mathematical programming and agent-based modelling for off-line scheduling: Application to energy aware manufacturing. CIRP Annals - Manufacturing Technology, Elsevier, 2016, 65 (1), pp.405-408. ⟨10.1016/j.cirp.2016.04.119⟩. ⟨hal-03426837⟩

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