Assessment of mathematical programming and agent-based modelling for off-line scheduling: Application to energy aware manufacturing. Issue 1 (2016)

• Record Type: Journal Article
• Authors: Tonelli, F.; Bruzzone, A.A.G.; Paolucci, M.; Carpanzano, E.; Nicolò, G.; Giret, A.; Salido, M.A.; Trentesaux, D.
• Is Part Of: CIRP annals. Volume 65:Issue 1(2016)
• Page Start: 405
• Page End: 408
• Publication Date: 2016
• Subjects: Optimization -- Energy -- Sustainable manufacturing; Production engineering -- Research -- Periodicals; 670.5
• DOI: 10.1016/j.cirp.2016.04.119
• Languages: English
• ISSNs: 0007-8506

Abstract

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.