Year: 2025
Type: article
Abstract: The order picking is the most time-and work-consuming component of total warehouse operations.As traveling takes up the most of the order picking time, reduction of the picker's route length can help decreasing it.The aim of the research is to develop a new routing metaheuristic with the use of R language for designing the picker's route in warehouse management that will provide better results than other, widely used routing heuristics.We apply the proposed metaheuristic in the classical, picker-to-parts, one-block rectangular warehouse with random storage assignment.We compare the results with the results obtained by its means with the most widely used routing heuristics: s-shape, return and midpoint.We assume the shared storage and various take-out strategies.Locations to be visited were obtained by using the COPRAS Complex Proportional Assessment) method.The criterion for assessment of applied metaheuristic is the length of the picking route for every takeout strategy.Obtained results indicate that the proposed metaheuristic provided shorter routes as compared with other routing heuristics.
DOI: 10.37190/ord250303
Authors: Krzysztof Dmytrów, Andrzej Dudek
Language: English
Subfield: Industrial and Manufacturing Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
Funder: Uniwersytet Szczeciński
OpenAlex ID: W4407136760
