Sensitivity Analysis in Finding Shortest Path for Order Picker with Limited Picking Capacity

The success of any warehouse management is normally contributed by the success of order picking process. In any warehouse operation, order picking contributes more than half percentage of the total warehouse operating costs. Layout of warehouse, storage allocation, number of order pickers and variou...

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Bibliographic Details
Published in:Journal of Physics: Conference Series
Main Author: Nordin N.A.M.; Shariff S.S.R.; Omar M.
Format: Conference paper
Language:English
Published: Institute of Physics Publishing 2020
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086727398&doi=10.1088%2f1742-6596%2f1496%2f1%2f012021&partnerID=40&md5=6449a547438d751b54c0628799e7e9bc
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Summary:The success of any warehouse management is normally contributed by the success of order picking process. In any warehouse operation, order picking contributes more than half percentage of the total warehouse operating costs. Layout of warehouse, storage allocation, number of order pickers and various routing methods contribute to significant impact on the order picking process. All of these variables need to be considered in ensuring smooth and fast order picking process. We test the variation of each variable in finding the optimal route for each order picker, using a modified Dynamic Programming method. Real data set of a warehouse operation is used for the study. The results show a reduced of total distance by 11.6% by choosing the shortest path based on the number of order pickers and an increase by 48% using batch picking method. The shortest distances for each OP with limited capacity are also discussed thoroughly in this paper. © 2020 Published under licence by IOP Publishing Ltd.
ISSN:17426588
DOI:10.1088/1742-6596/1496/1/012021