Application of Optimization Algorithm in Automatic Production Scheduling

Weijuan Li, Jun Wang, Rui Guo, Jian Zhang, Feng Su

Article ID: 8565
Vol 7, Issue 8, 2024

VIEWS - 46 (Abstract) 24 (PDF)

Abstract


Automatic production scheduling is a crucial activity in modern manufacturing, which involves the rational arrangement of production tasks to maximize production efficiency, minimize manufacturing costs, and meet customer needs. In the increasingly complex and diverse production environment, production demand may also change at any time, and traditional production scheduling methods are no longer able to meet the needs of modern manufacturing. Optimization algorithms, as an efficient and accurate decision-making tool, have been widely applied in the field of automatic production scheduling. This article aims to explore the application of optimization algorithms in automatic production scheduling, analyze their principles, types, advantages and disadvantages, as well as application cases in industrial practice, in order to provide reference for research and practice in related fields such as production scheduling.

Keywords


Optimization Algorithm; Automatic Production Scheduling; Production Scheduling; Resource Allocation; Optimization Strategy

Full Text:

PDF


References


1. [1] Chen, A., Yang, G., & Wu, Z. (2008). production scheduling optimization algorithm for the hot rolling processes. International

2. Journal of production Research, 46(7), 1955-1973. https://doi.org/10.1080/00207540600988048

3. [2] Küster, T., Rayling, P., Wiersig, R., & Pardo, F. (2021). Multi-objective optimization of energy-efficient production schedules using

4. genetic algorithms. optimization and Engineering. https://doi.org/10.1007/s11081-021-09691-3

5. [3] Angelopoulos, S., López-Ortíz, A., & Hamel, A. (2016). optimal scheduling of contract algorithms with soft deadlines. Journal of

6. scheduling, 20(3), 267-277. https://doi.org/10.1007/s10951-016-0483-z

7. [4] Wang, Y., Limmer, S., Olhofer, M., Emmerich, M., & Baeck, T. (2021). automatic preference based multi-objective evolutionary

8. algorithm on vehicle fleet maintenance scheduling optimization.. https://doi.org/10.48550/arxiv.2101.09556

9. [5]Qingxiang, L. (2023). Ineh-vns algorithm solved automatic production system scheduling problem under just-in-time environment.

10. Journal of Applied Mathematics, 2023, 1-17. https://doi.org/10.1155/2023/6680897

11. [6]Utari, C., Zarlis, M., & Sutarman, S. (2019). optimization of production scheduling and actual stock using fuzzy genetic algorithm.

12. Journal of Physics Conference Series, 1235(1), 012035.




DOI: https://doi.org/10.18686/ijmss.v7i8.8565

Refbacks

  • There are currently no refbacks.




Creative Commons License

This site is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.