Akademik Veri Yönetim Sistemi
Computers and Industrial Engineering, cilt.211, 2026 (SCI-Expanded, Scopus)
The continuous efforts to improve customer satisfaction in the case of product customization and small order volumes force companies to adopt efficient strategies in order to maintain robust tactical-level planning decisions. Seru production system design is one of the tactical level planning approaches in just in time philosophy. Considering the efficient realization of customer demand improvement, this study aims to provide an efficient seru production system design, focusing on formation/loading, worker assignment, batch scheduling, and worker scheduling, with the objective of minimizing total flow time and variability between seru loads, where the load of a seru is defined as the sum of the workloads of the workers in that seru. The problem is handled by developing a joint mixed integer linear programming to minimize total flow time and seru load imbalance. Additionally, work load of each worker is stipulated to be no more than an average load. A Two-Stage approach has been developed by decomposing the proposed joint model into two sub-problems which the first one forms serus and assigns batches and workers while the second one schedules workers within each seru through the workstations. For solving large size problems, this approach has been applied and efficiency has been evaluated under different levels of batch sizes, tasks, workers and serus. The experimental scenarios have been evaluated considering the uniform probabilities of task times and worker efficiency levels. Joint Model and Two-Stage approach have been solved for small sized instances and no duality gap is reported on the developed approach. For large size instances, the approach has resulted improvements by 80 %, 100 %, and 50 % on total flow time, maximum worker load, and maximum seru load, respectively.