@article{article_1755522, title={Incorporating Worker Heterogeneity in Flexible Flow Shop Environment}, journal={The Eurasia Proceedings of Science Technology Engineering and Mathematics}, volume={34}, pages={359–368}, year={2025}, DOI={10.55549/epstem.1755522}, author={Ozpacaci, Kubra and Bekli, Seyma and Kayisoglu, Betul}, keywords={Production scheduling, Flexible workforce, Mixed integer linear programming, Sustainability}, abstract={We study the flexible flow shop scheduling problem with the heterogeneous worker assignment. In
many real-life manufacturing systems with flow shop environments, one of the fundamental scheduling
challenges that needs to be addressed is job sequences across multiple workers. In addition, the manufacturing
system may require workers to have different skills at various stages during their assignment. Therefore, worker
availability at each stage may vary during the scheduling horizon. Unlike traditional flexible flow shop
scheduling problem, where homogeneous workers are assumed, we consider workers with different skill levels,
capabilities, and capacities. We present a mixed integer linear programming model to find the optimal sequence
of job assignments, guaranteeing that jobs follow their predefined operation sequence while assigning workers
with various skill sets in a flexible flow shop environment. The proposed model is tested at a battery
manufacturing company. By analyzing the solution, we confirm its capability to represent the problem
accurately. The proposed model offers a systematic scheduling approach for a flexible flow shop environment
with a heterogeneous workforce and can be implemented in other industries.}, publisher={ISRES Publishing}