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MULTI-OBJECTIVE OPTIMIZATION FOR RESOURCE ALLOCATION IN INTELLIGENT MANUFACTURING.
- Source :
-
International Journal of Simulation Modelling (IJSIMM) . Jun2024, Vol. 23 Issue 2, p359-370. 12p. - Publication Year :
- 2024
-
Abstract
- As intelligent manufacturing expands globally, efficient resource allocation strategies are critical for optimizing production efficiency, costs, and quality. Although multi-objective optimization algorithms can handle conflicting objectives, traditional approaches struggle with complex manufacturing systems. This research proposes an optimization model integrating an enhanced Non-dominated Sorting Genetic Algorithm II (NSGA-II) with the Fishbone layout for intelligent manufacturing resource allocation. The Fishbone-based model provides efficient decision support, while the enhanced NSGA-II improves solution efficiency and quality. Flexsim simulation demonstrates the practical value of the proposed method in optimizing resource allocation. This work extends the application of multi-objective optimization in intelligent manufacturing and offers a novel tool for resource allocation optimization in the manufacturing industry. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 17264529
- Volume :
- 23
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- International Journal of Simulation Modelling (IJSIMM)
- Publication Type :
- Academic Journal
- Accession number :
- 177649073
- Full Text :
- https://doi.org/10.2507/IJSIMM23-2-CO9