Tabu search heuristics for the order batching problem in manual order picking systems

► The paper studies a planning issue pivotal for the efficiency of warehouse operations. ► We present how tabu search and the attribute-based hill climber can be applied to the problem. ► In numerical experiments specific suitable parameter configurations are identified. ► The proposed methods outperform existing solution approaches in terms of solution quality and computing times.