Economic batch sizing and scheduling on parallel machines under time-of-use electricity pricing

Mao Tan (), Bin Duan () and Yongxin Su ()
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Mao Tan: Xiangtan University
Bin Duan: Xiangtan University
Yongxin Su: Xiangtan University

Operational Research, 2018, vol. 18, issue 1, No 6, 105-122

Abstract: Abstract Time-of-use (TOU) electricity pricing provides new opportunity for power-intensive users to reduce their electricity costs. In order to achieve optimal economic scheduling under TOU pricing for batch production, there are difficulties existed because batch production loads are not fixed or directly adjustable but closely related with time and machine dependant production schedule. Provided that production capacity is abundant and minimizing makespan is not the primary target, a MILP model that integrates batch sizing and scheduling on parallel machines is proposed, in which the objective is to minimize electricity costs in production by utilizing TOU pricing. Use cases are provided to assess the proposed model, experimental results show that the proposed model reduce electricity costs significantly, and promote peak load regulation of power grid.

Keywords: Batch scheduling; Batch production; Time-of-use electricity pricing; Mixed integer linear programming (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (4)

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DOI: 10.1007/s12351-016-0256-7

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