ecms_neu_mini.png

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 text: