Cost Reduction and Productivity Improvement in Mixed-Model Assembly Lines through Workstation Optimization

Authors

  • Fahimeh Tanhaie * Department of Industrial Engineering Kosar university of Bojnord, Iran.

https://doi.org/10.48314/tsc.vi.40

Abstract

Assembly line balancing is a critical factor in the design and optimization of production systems, especially in multi-product environments. This paper presents a multi-objective mathematical model for mixed-model assembly line balancing, aiming to simultaneously minimize the number of workstations and the total equipment cost. The model incorporates precedence constraints, cycle time limitations, and task assignment rules. A computational experiment is conducted using the optimization software to validate the model's performance on a numerical example. Results demonstrate that the proposed approach efficiently reduces both the required number of stations and associated costs within a short computational time. This study contributes to the field by integrating cost efficiency into classical balancing frameworks, offering a practical solution for enhancing productivity and resource allocation in modern manufacturing settings.

Keywords:

Mixed-model assembly line balancing, Linear programming, Equipment cost reduction, Multi-objective optimization

References

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Published

2025-08-06

Issue

2025: Articles in Press

Section

Articles

How to Cite

Cost Reduction and Productivity Improvement in Mixed-Model Assembly Lines through Workstation Optimization. (2025). Transactions on Soft Computing . https://doi.org/10.48314/tsc.vi.40