An Improved Model for Parallel Machine Scheduling under Time-of-Use Electricity Price
Document Type
Article
Publication Date
4-1-2018
Abstract
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.
Identifier
85009987616 (Scopus)
Publication Title
IEEE Transactions on Automation Science and Engineering
External Full Text Location
https://doi.org/10.1109/TASE.2016.2631491
ISSN
15455955
First Page
896
Last Page
899
Issue
2
Volume
15
Grant
71571061
Fund Ref
National Natural Science Foundation of China
Recommended Citation
Cheng, Junheng; Chu, Feng; and Zhou, Mengchu, "An Improved Model for Parallel Machine Scheduling under Time-of-Use Electricity Price" (2018). Faculty Publications. 8764.
https://digitalcommons.njit.edu/fac_pubs/8764
