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Digital
Library of the European Council for Modelling and Simulation |
Title: |
An
Application Of Discrete Event Simulation On Order Picking Strategies: A Case
Study Of Footwear Warehouses |
Authors: |
Thananya
Wasusri, Prasit Theerawongsathon |
Published in: |
(2016).ECMS 2016 Proceedings edited
by: Thorsen Claus, Frank Herrmann, Michael Manitz, Oliver Rose, European Council for Modeling and
Simulation. doi:10.7148/2016 ISBN:
978-0-9932440-2-5 30th
European Conference on Modelling and Simulation, Regensburg Germany, May 31st
– June 3rd, 2016 |
Citation
format: |
Thananya
Wasusri, Prasit Theerawongsathon (2016). An Application Of Discrete Event
Simulation On Order Picking Strategies: A Case Study Of Footwear Warehouses,
ECMS 2016 Proceedings edited by: Thorsten Claus, Frank Herrmann, Michael Manitz, Oliver Rose European
Council for Modeling and Simulation. doi:10.7148/2016-0121 |
DOI: |
http://dx.doi.org/10.7148/2016-0121 |
Abstract: |
A footwear business is one of highly
competitive markets. Footwear businesses must continuously improve three main
key performance measures namely quality, cost and lead time.
The case study is one of footwear businesses in Thailand. As customer demands
are fragmented, the company needs to offer different products to serve
customers’ satisfaction. Customer orders are then small quantities, but
contain several different product types. As a result, picking activities in its
warehouse are becoming more difficult especially for sport shoes, fashion
shoes and sandals. While individual order picking strategy was utilized, it
caused long lead time in its picking process. Its
delivery performance cannot be achieved. Discrete event simulation modeling using
ARENA was conducted to investigate the performance of one order picking,
batch picking and zone picking. It was found that the best alternative is zone
picking with 4 orders per batch. The picking time can be shortened about 15%. |
Full
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