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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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
id 2-s2.0-85086727398
spelling 2-s2.0-85086727398
Nordin N.A.M.; Shariff S.S.R.; Omar M.
Sensitivity Analysis in Finding Shortest Path for Order Picker with Limited Picking Capacity
2020
Journal of Physics: Conference Series
1496
1
10.1088/1742-6596/1496/1/012021
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086727398&doi=10.1088%2f1742-6596%2f1496%2f1%2f012021&partnerID=40&md5=6449a547438d751b54c0628799e7e9bc
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.
Institute of Physics Publishing
17426588
English
Conference paper
All Open Access; Gold Open Access
author Nordin N.A.M.; Shariff S.S.R.; Omar M.
spellingShingle Nordin N.A.M.; Shariff S.S.R.; Omar M.
Sensitivity Analysis in Finding Shortest Path for Order Picker with Limited Picking Capacity
author_facet Nordin N.A.M.; Shariff S.S.R.; Omar M.
author_sort Nordin N.A.M.; Shariff S.S.R.; Omar M.
title Sensitivity Analysis in Finding Shortest Path for Order Picker with Limited Picking Capacity
title_short Sensitivity Analysis in Finding Shortest Path for Order Picker with Limited Picking Capacity
title_full Sensitivity Analysis in Finding Shortest Path for Order Picker with Limited Picking Capacity
title_fullStr Sensitivity Analysis in Finding Shortest Path for Order Picker with Limited Picking Capacity
title_full_unstemmed Sensitivity Analysis in Finding Shortest Path for Order Picker with Limited Picking Capacity
title_sort Sensitivity Analysis in Finding Shortest Path for Order Picker with Limited Picking Capacity
publishDate 2020
container_title Journal of Physics: Conference Series
container_volume 1496
container_issue 1
doi_str_mv 10.1088/1742-6596/1496/1/012021
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086727398&doi=10.1088%2f1742-6596%2f1496%2f1%2f012021&partnerID=40&md5=6449a547438d751b54c0628799e7e9bc
description 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.
publisher Institute of Physics Publishing
issn 17426588
language English
format Conference paper
accesstype All Open Access; Gold Open Access
record_format scopus
collection Scopus
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