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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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 |
_version_ |
1809677898514169856 |