Journal
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
Volume 15, Issue 2, Pages 896-899Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TASE.2016.2631491
Keywords
Mixed-integer linear programming (MILP); parallel machine scheduling; time-of-use (TOU) tariffs; total electricity cost
Categories
Funding
- French Ministries of Foreign
- European Affairs and Higher Education and Research
- Chinese Ministry of Education [27927VE]
- National Natural Science Foundation of China [71571061]
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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.
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