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- Title
FLEXIBLE JOB SHOP RESCHEDULING SCHEME SELECTION USING IMPROVED TOPSIS.
- Authors
Gao, L. L.; Zha, J.; Feng, Z. Y.; Liu, S. F.; Wu, S. S.; Zhu, Z. Y.
- Abstract
Flexible job shops have difficulties in selecting rescheduling schemes under various disturbances. This paper proposes a rescheduling decision selection method that comprehensively considers production loss cost, completion time, machine load balancing rate, and additional machine energy consumption. First, the G1-improved entropy method and the improved TOPSIS method are combined to evaluate rescheduling schemes. Meanwhile, the proposed method combines subjective and objective factors to provide decision-makers with the optimal rescheduling scheme, leading to higher rationality, practicality, and effectiveness of the rescheduling process. Finally, a case study verifies the applicability of the proposed method in a typical flexible job shop scenario.
- Subjects
TOPSIS method; JOB shops; PRODUCTION losses; ENERGY consumption; INDUSTRIAL costs
- Publication
International Journal of Simulation Modelling (IJSIMM), 2024, Vol 23, Issue 3, p507
- ISSN
1726-4529
- Publication type
Article
- DOI
10.2507/IJSIMM23-3-CO12