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Sustainability 2016, 8(8), 762; doi:10.3390/su8080762

Estimation of Distribution Algorithm for Energy-Efficient Scheduling in Turning Processes

1
State Key Lab of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
2
School of Management, Wuhan University of Science and Technology, Wuhan 430081, China
3
School of Machinery and Automation, Wuhan University of Science and Technology, Wuhan 430081, China
*
Author to whom correspondence should be addressed.
Academic Editor: Andrew Kusiak
Received: 29 May 2016 / Revised: 25 July 2016 / Accepted: 27 July 2016 / Published: 15 August 2016
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Abstract

With the increasing concern for the environment, energy-efficient scheduling of the manufacturing industry is becoming urgent and popular. In turning processes, both spindle speed and processing time affect the final energy consumption and thus the spindle speed and scheduling scheme need to be optimized simultaneously. Since the turning workshop can be regarded as the flexible flow shop, this paper formulates a mixed integer nonlinear programming model for the energy-efficient scheduling of the flexible flow shop. Accordingly, a new decoding method is developed for the optimization of both spindle speed and scheduling scheme simultaneously, and an estimation of the distribution algorithm adopting the new decoding method is proposed to solve large-size problems. The parameters of this algorithm are determined by statistics from a simplified practical case. Validation results of the proposed method show that the makespan is shortened to a large extent, and the consumed energy is significantly saved. These results demonstrate the effectiveness of the proposed mathematical model and algorithm. View Full-Text
Keywords: energy-efficiency scheduling; flexible flow shop; estimation of distribution algorithm; turning processing energy-efficiency scheduling; flexible flow shop; estimation of distribution algorithm; turning processing
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Wang, F.; Rao, Y.; Zhang, C.; Tang, Q.; Zhang, L. Estimation of Distribution Algorithm for Energy-Efficient Scheduling in Turning Processes. Sustainability 2016, 8, 762.

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