Multiple batches scheduling for reconfigurable seru production system considering fatigue effect

Most studies on seru production scheduling focus on static systems and ignore worker fatigue, limiting their use in flexible manufacturing. To address this, we investigate a multi-batch reconfigurable seru production system (SPMRSPS) that incorporates fatigue effects. We formulate a mixed-integer programming model to minimize the makespan, the idle time of multi-skilled workers, and storage costs. To solve the model, we propose a multi-objective adaptive evolutionary algorithm with a heuristic strategy (MOAEH) that utilizes a distance similarity-based seru formation strategy and adaptive genetic operators. Numerical experiments show that MOAEH outperforms several state-of-the-art algorithms, providing an effective tool for SPMRSPS scheduling.