Duerden, Christopher James, Shark, Lik-Kwan, Hall, Geoff and Howe, Joseph Mark (2015) Minimisation of energy consumption variance for multi-process manufacturing lines through genetic algorithm manipulation of production schedule. Engineering Letters, 23 (1). pp. 40-48. ISSN 1816-093X
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Typical manufacturing scheduling algorithms do not consider the energy consumption of each job, or its variance, when they generate a production schedule. This can become problematic for manufacturers when local infrastructure has limited energy distribution capabilities. In this paper, a genetic algorithm based schedule modification algorithm is presented. By referencing energy consumption models for each job, adjustments are made to the original schedule so that it produces a minimal variance in the total energy consumption in a multi-process manufacturing production line, all while operating within the constraints of the manufacturing line and individual processes. Empirical results show a significant reduction in energy consumption variance can be achieved on schedules containing multiple concurrent jobs.
|Uncontrolled Keywords (separate with ;):||Energy consumption optimisation, Genetic algorithms, Peak energy, Schedule optimisation|
|Subjects:||Engineering > Civil engineering|
Engineering > Production & manufacturing engineering
|Schools:||Faculty of Science and Technology > School of Engineering|
|Deposited By:||Lik Shark|
|Deposited On:||28 Jan 2016 13:30|
|Last Modified:||19 Mar 2017 13:09|
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