TY - JOUR
T1 - An Improved Model for Parallel Machine Scheduling under Time-of-Use Electricity Price
AU - Cheng, Junheng
AU - Chu, Feng
AU - Zhou, Mengchu
N1 - Funding Information:
Manuscript received June 14, 2016; revised November 8, 2016; accepted November 16, 2016. Date of publication January 5, 2017; date of current version April 5, 2018. This paper was recommended for publication by Associate Editor R. Uzsoy and Editor S. Reveliotis upon evaluation of the reviewers’ comments. This work was supported in part by the Cai Yuanpei Program between the French Ministries of Foreign and European Affairs and Higher Education and Research and the Chinese Ministry of Education under Grant 27927VE and in part by the National Natural Science Foundation of China under Grant 71571061. (Corresponding author: Feng Chu.) J. Cheng is with the School of Management, Northwestern Polytechnical University, Xi’an 710072, China, and also with the IBISC Laboratory, University of Evry-Val d’Essonne, 91020 Evry, France (e-mail: junheng@ ibisc.univ-evry.fr). F. Chu is with the IBISC Laboratory, University of Evry-Val d’Essonne, 91020 Evry, France, and also with the School of Construction and Man- agement Engineering, Xihua University, Chengdu 610039, China (e-mail: feng.chu@ibisc.univ-evry.fr). M. Zhou is with the Institute of Systems Engineering, Macau University of Science and Technology, Macau 999078, China and also with the Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ 07102 USA (e-mail: zhou@njit.edu). Digital Object Identifier 10.1109/TASE.2016.2631491 i=1 k=1 1545-5955 © 2017 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information.
Publisher Copyright:
© 2017 IEEE.
PY - 2018/4
Y1 - 2018/4
N2 - A recent study has led to an interesting mixed-integer linear programming (MILP) model for parallel machine scheduling under time-of-use (TOU) tariffs, which assumes great importance in achieving sustainable economic development. In this paper, we provide an improved MILP model by significantly reducing the number of decision variables. The computational results show that the performance of the improved model is superior to that of the existing one.
AB - A recent study has led to an interesting mixed-integer linear programming (MILP) model for parallel machine scheduling under time-of-use (TOU) tariffs, which assumes great importance in achieving sustainable economic development. In this paper, we provide an improved MILP model by significantly reducing the number of decision variables. The computational results show that the performance of the improved model is superior to that of the existing one.
KW - Mixed-integer linear programming (MILP)
KW - parallel machine scheduling
KW - time-of-use (TOU) tariffs
KW - total electricity cost
UR - http://www.scopus.com/inward/record.url?scp=85009987616&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85009987616&partnerID=8YFLogxK
U2 - 10.1109/TASE.2016.2631491
DO - 10.1109/TASE.2016.2631491
M3 - Article
AN - SCOPUS:85009987616
SN - 1545-5955
VL - 15
SP - 896
EP - 899
JO - IEEE Transactions on Automation Science and Engineering
JF - IEEE Transactions on Automation Science and Engineering
IS - 2
ER -