Joint assignment of multi-skilled worker and task considering lot-splitting in seru production systems

Sisi Chen; Yinghui Wu; Shaoyu Zeng

doi:10.1117/12.2645821

30 August 2022 Joint assignment of multi-skilled worker and task considering lot-splitting in seru production systems

Sisi Chen, Yinghui Wu, Shaoyu Zeng

Proceedings Volume 12309, International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2022); 123090D (2022) https://doi.org/10.1117/12.2645821
Event: International Conference on Advanced Manufacturing Technology and Manufacturing System (ICAMTMS 2022), 2022, Shijiazhuang, China

Abstract

With the aim of mitigating workload imbalance among workers, this paper optimizes multi-skilled worker and task assignments with the consideration of lot-splitting. A mixed-integer nonlinear programming model is proposed to minimize the maximum workload of workers. To verify the effectiveness of the proposed model, the model without lot-splitting is used for comparison. These models can be linearized and solved by optimization solver CPLEX. Computational experiments show that our fairness-oriented model has better performance on mitigating the workload imbalance while maintaining high production efficiency.

Citation Download Citation

Sisi Chen, Yinghui Wu, and Shaoyu Zeng "Joint assignment of multi-skilled worker and task considering lot-splitting in seru production systems", Proc. SPIE 12309, International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2022), 123090D (30 August 2022); https://doi.org/10.1117/12.2645821

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KEYWORDS

Surface plasmons

Mathematical modeling

Binary data

Complex systems

Java

Optimization (mathematics)

Performance modeling

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