An application of an adapted Harmony Search (HS) algorithm is proposed in this study in order to minimize manual warehouses’ pickers travel distance. Firstly, the distance matrix has been determined through a hybrid algorithm, and then HS is used to compute the pickers' travel distance, developing a MATLAB® simulation model. This model performance is tested on twenty-five scenarios, resulting from variable length of the order pick lists and different manual storage configurations. Thirty picklists are evaluated for each scenario, for a total of 750 simulations. The results provided by the algorithm, compared with those returned by a metaheuristic algorithm and two heuristic routing policies, suggest that HS provides better outputs results than the remaining algorithms. The algorithm is also very efficient from a computational perspective; as order picking is an operational decision, the short computational time allows the pickers route to be defined even in real-time if needed.
A hybrid metaheuristic routing algorithm for low-level picker-to-part systems / Bottani, E.; Casella, G.; Murino, T.. - In: COMPUTERS & INDUSTRIAL ENGINEERING. - ISSN 0360-8352. - 160(2021). [10.1016/j.cie.2021.107256]
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