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A framework to minimise total energy consumption and total tardiness on a single machine

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dc.contributor.author Mouzon, Gilles C.
dc.contributor.author Yildirim, Mehmet Bayram
dc.date.accessioned 2011-03-22T16:39:56Z
dc.date.available 2011-03-22T16:39:56Z
dc.date.issued 2008
dc.identifier.issn 1939-7038
dc.identifier.uri http://hdl.handle.net/10057/3431
dc.identifier.uri http://dx.doi.org/10.1080/19397030802257236
dc.description This is the author's version of the work. It is posted here by permission of Taylor & Francis for personal use, not for redistribution. The definitive version was published in the International Journal of Sustainable Engineering, Vol. 1, No. 2, June 2008. DOI: 10.1080/19397030802257236
dc.description.abstract A great amount of energy is wasted in industry by machines that remain idle due to underutilisation. A way to avoid wasting energy and thus reducing the carbon print of an industrial plant is to consider minimisation of energy consumption objective while making scheduling decisions. To minimise energy consumption, the decision maker has to decide the timing and length of turn off/turn on operation (a setup) and also provide a sequence of jobs that minimises the scheduling objective, assuming that all jobs are not available at the same time. In this paper, a framework to solve a multiobjective optimisation problem that minimises total energy consumption and total tardiness is proposed. Since total tardiness problem with release dates is an NP-hard problem, a new greedy randomised multiobjective adaptive search metaheuristic is utilised to obtain an approximate pareto front (i.e. an approximate set of non-dominated solutions). Analytical Hierarchy Process is utilised to determine the ‘best’ alternative among the solutions on the pareto front. The proposed framework is illustrated on a case study. It is shown that a wide variety of dispersed solutions can be obtained via the proposed framework, and as total tardiness decreases, total energy consumption increases. en_US
dc.language.iso en_US en_US
dc.publisher Taylor & Francis en_US
dc.relation.ispartofseries International Journal of Sustainable Engineering, 2008, 1–12;
dc.subject Energy efficient production planning en_US
dc.subject Sustainable/green manufacturing en_US
dc.subject Multiobjective GRASP en_US
dc.subject Single machine scheduling en_US
dc.title A framework to minimise total energy consumption and total tardiness on a single machine en_US
dc.type Article en_US

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