@inproceedings{e55ec0378c544fd2ad7fd1f99ed9fd41,
title = "An application of discrete event simulation on order picking strategies: A case study of footwear warehouses",
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 serveral 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\%.",
keywords = "Batch picking, Order picking, Simulation, Zone picking",
author = "Thananya Wasusri and Prasit Theerawongsathon",
note = "Publisher Copyright: {\textcopyright} ECMS Thorsten Claus, Frank Herrmann, Michael Manitz, Oliver Rose (Editors).; 30th European Conference on Modelling and Simulation, ECMS 2016 ; Conference date: 31-05-2016 Through 03-06-2016",
year = "2016",
doi = "10.7148/2016-0121",
language = "English",
series = "Proceedings - 30th European Conference on Modelling and Simulation, ECMS 2016",
publisher = "European Council for Modelling and Simulation",
pages = "121--127",
editor = "Thorsten Claus and Frank Herrmann and Michael Manitz and Oliver Rose",
booktitle = "Proceedings - 30th European Conference on Modelling and Simulation, ECMS 2016",
}