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A framework to minimise total energy consumption and total tardiness on a single machine
Mouzon, Gilles C. Yildirim, Mehmet Bayram
Mouzon, Gilles C.
Yildirim, Mehmet Bayram
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Adobe PDF, 399.73 KB
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2008
Type
Article
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Keywords
Energy efficient production planning,Sustainable/green manufacturing,Multiobjective GRASP,Single machine scheduling
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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.
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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
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Taylor & Francis
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International Journal of Sustainable Engineering, 2008, 1–12;
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1939-7038