An order picking operation improvement in a cross-docking distribution centre using simulation: a case study of a chilled distribution centre in Thailand
Pham Duc Tai,
Jirachai Buddhakulsomsiri and
Parthana Parthanadee
International Journal of Logistics Systems and Management, 2025, vol. 52, issue 3, 410-432
Abstract:
This article involves a study to improve the cross-docking operation at a chilled distribution centre, owned by a retail conglomerate in Thailand. Among activities of cross-docking, order picking is identified as a bottleneck. Therefore, exploring operational policies that improves the performance of order picking in terms of makespan and operating cost of is the objective of this study. To facilitate the exploration, a simulation model is developed. The model is experimented with various sets of operational policies. Each set represents a combination of options for resource management, (i.e., dedicating and sharing of picking operators) and order splitting, (i.e., split no batch, only the first batch, and the first and the last two batches of orders). Statistical analysis of the simulation indicates that implementing resource sharing with splitting the first and the last two batches minimises both the makespan and operating cost of the order picking activity.
Keywords: simulation; order picking; put-to-light; cross-docking; chilled distribution centre; CDC; Thailand. (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=149885 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijlsma:v:52:y:2025:i:3:p:410-432
Access Statistics for this article
More articles in International Journal of Logistics Systems and Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().