Order picking performance improvement through storage location assignment: the case of a hardware wholesaler

dc.contributor.authorLiu, Zelin
dc.contributor.authorRapp, Chad
dc.contributor.authorBuquid, Jude
dc.contributor.authorAktas, Emel
dc.date.accessioned2023-01-05T19:20:09Z
dc.date.available2023-01-05T19:20:09Z
dc.date.issued2022-07-05
dc.description.abstractOrder picking is the most time-consuming, labour-intensive, and costly activity in picker-to-parts picking systems. The literature frequently minimises picking time but ignores the picking error, which affects picking efficiency and customer satisfaction. This paper to minimise picking time and picking error using multi-objective optimisation. Three storage location assignment policies, i.e., ABC-based, product-popularity-based (PPB) and product-relation-based (PRB), are deployed to minimise the picking time. PPB policy gave both the minimum picking time and picking error, with the trade-off between the two objectives presented in a Pareto frontier. Hence, the managers can determine a storage policy based on the optimisation results.en_UK
dc.identifier.citationLiu Z, Rapp C, Buquid J, Aktas E. (2022) Order picking performance improvement through storage location assignment: the case of a hardware wholesaler. In: 29th EurOMA International Annual Conference,1-6 July 2022, Berlin, Germanyen_UK
dc.identifier.urihttps://www.euroma2022.org/
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/18881
dc.language.isoenen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectMulti-objective optimisationen_UK
dc.subjectPicking time and erroren_UK
dc.subjectWarehouse operationsen_UK
dc.titleOrder picking performance improvement through storage location assignment: the case of a hardware wholesaleren_UK
dc.typeConference paperen_UK

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