Akademik Veri Yönetim Sistemi
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE-OPERATIONS & LOGISTICS, cilt.12, sa.1, 2025 (SCI-Expanded)
This paper addresses the problem of ergonomic job rotation scheduling. The mathematical model is presented as a multi-objective optimisation problem with ergonomic constraints. Rapid entire body assessment (REBA) is used to evaluate the workload for the model in automotive assembly lines. The proposed job rotation schedule simultaneously reduces time differences between workers, balances the physical workloads among workers, and maximises worker motivation by satisfying their job preferences. The problem is solved using a Multi-Objective Simulated Annealing Algorithm (MOSA). Three variants of MOSA are developed and applied to a real case study. The performance of the proposed algorithms is also validated on test problems. The efficiency of the suggested algorithms is evaluated using different performance measures. Computational results show that MOSA-3 outperforms other variants regarding all performance metrics for large-scale problems.