What question did this study set out to answer?

The research aims to address the complexities of balancing an assembly line by considering worker mobility and task times dependent on worker skills.

Balancing Assembly Line with Moving Workers and Worker-Dependent Task Times Using Linear Programming Formulation

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Demonstrates an optimal method to balance tasks in assembly lines with mobile workers, suggesting improved efficiency through worker mobility.

The research aims to address the complexities of balancing an assembly line by considering worker mobility and task times dependent on worker skills.
Developed a mixed integer linear programming model.
Evaluated model performance on datasets from precedence diagrams.
Considered factors like worker mobility and task time variability.
The model optimally solves small-sized instances of the problem.
Medium and large instances present computational challenges with increasing solving times.
Adding an extra workstation enhances efficiency, particularly in larger problem sizes.

ŞAHİN et al. (2026) studied this question.

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Demonstrates an optimal method to balance tasks in assembly lines with mobile workers, suggesting improved efficiency through worker mobility.