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Novel Approaches for Energy-Efficient Flexible Job-Shop Scheduling Problems.
- Source :
- CET Journal - Chemical Engineering Transactions; 8/1/2020, Vol. 81, p823-828, 6p
- Publication Year :
- 2020
-
Abstract
- In this work, two novel mixed-integer linear programming models for energy efficient scheduling of flexible job-shops with simultaneous consideration of machine switching off-on strategy are developed. While the first model is based on the unit-specific event-based approach, the other one uses the sequence-based approach. The computational results demonstrate that the proposed models, especially the unit-specific event-based model, are more robust and efficient than the existing models. To solve industrial-scale problems efficiently, a hybrid algorithm is developed through the combination of the existing eGEP algorithm and mathematical programming approach. The hybrid algorithm leads to up to 15 % more energy savings in comparison to the eGEP algorithm. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 19749791
- Volume :
- 81
- Database :
- Complementary Index
- Journal :
- CET Journal - Chemical Engineering Transactions
- Publication Type :
- Academic Journal
- Accession number :
- 151707040
- Full Text :
- https://doi.org/10.3303/CET2081138