International Conference on Engineering, Natural Sciences, and Technological Developments (ICENSTED 2024), Balıkesir, Türkiye, 19 - 21 Temmuz 2024, ss.245-253
Seru Production Systems (SPS) have increasingly replaced traditional assembly lines due to the growing product variety and demand variability in response to customer needs. SPS merges the effectiveness of assembly lines with the adaptability of jobshop manufacturing, offering features such as designability, transportability, waste reduction, simplified operation, and efficient worker transfer capabilities. These attributes make SPS attractive to businesses seeking higher operational efficiency, enhanced flexibility, and rapid responsiveness to market changes. This study focuses on workforce scheduling problems for SPS with a variable sub-lot size division strategy. To address this problem, an optimization model is proposed to minimize makespan. Small-sized problem instances are solved using the GAMS 24.7/CPLEX solver. Sensitivity analysis is conducted to determine which parameters most significantly affect objective function. Computational results demonstrate that the number of serus and sub-lots are the most critical factors influencing makespan in the seru system. The findings highlight the importance of optimizing these parameters to enhance the overall operational performance of SPS. The outcomes suggest that careful consideration of seru and sub-lot configurations can lead to substantial improvements in production efficiency and adaptability, making SPS a viable and competitive alternative to traditional production methodologies