Energy and labor aware production scheduling for industrial demand response using adaptive multi-objective memetic algorithm

Gong, X., Liu, Y. , Lohse, N., De Pessemier, T., Martens, L. and Joseph, W. (2018) Energy and labor aware production scheduling for industrial demand response using adaptive multi-objective memetic algorithm. IEEE Transactions on Industrial Informatics, (doi:10.1109/TII.2018.2839645) (Early Online Publication)

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Abstract

Price-based demand response stimulates factories to adapt their power consumption patterns to time-sensitive electricity prices to reduce cost. This paper introduces a multi-objective optimization model which schedules job processing, machine idle modes, and human workers under real-time electricity pricing. Beyond existing models, labor is considered due to the trade-off between energy and labor costs. An adaptive multi-objective memetic algorithm is proposed to leverage feedback of cross-dominance and stagnation in a search and a prioritized grouping strategy. Thus, adaptive balance remains between exploration of the NSGA-II and exploitation of two mutually complementary local search operators. A case study of an extrusion blow molding process in a plastic bottle manufacturer demonstrate the effectiveness and efficiency of the algorithm. The proposed scheduling method enables intelligent production systems, where production loads and human workers are mutually matched and jointly adapted to real-time electricity pricing for cost-efficient production.

Item Type:Articles
Status:Early Online Publication
Refereed:Yes
Glasgow Author(s) Enlighten ID:Liu, Dr Ying
Authors: Gong, X., Liu, Y., Lohse, N., De Pessemier, T., Martens, L., and Joseph, W.
College/School:College of Science and Engineering > School of Engineering > Systems Power and Energy
Journal Name:IEEE Transactions on Industrial Informatics
Publisher:Institute of Electrical and Electronics Engineers (IEEE)
ISSN:1551-3203
ISSN (Online):1941-0050
Published Online:22 May 2018
Copyright Holders:Copyright © 2018 IEEE
First Published:First published in IEEE Transactions on Industrial Informatics 2018
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

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