A data mining technique to grouping customer orders in warehouse management system

Mu-Chen Chen*, Cheng Lung Huang, Hsiao Pin Wu, Ming Fu Hsu, Fei Hou Hsu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Warehouse management system (WMS) today is viewed as a basis to reinforcing company logistics. Order picking is one of the routine operations in warehouses. Before picking a large amount of orders, effectively grouping orders into batches can speed up product movement within the warehouse. Several batching heuristics have been proposed in the literature for minimizing travel distance or travel time. This paper presents an order batching approach in a distribution center with a parallel-aisle layout. A heuristic order batching approach based on data mining is developed in this paper.

Original languageEnglish
Title of host publicationSoft Computing as Transdisciplinary Science and Technology - Proceedings of the 4th IEEE International Workshop, WSTST 2005
Pages1063-1070
Number of pages8
EditionAISC
DOIs
StatePublished - 1 Dec 2005
Event4th IEEE International Workshop on Soft Computing as Transdisciplinary Science and Technology, WSTST 2005 - Muroran, Japan
Duration: 25 May 200527 May 2005

Publication series

NameAdvances in Soft Computing
NumberAISC
ISSN (Print)1615-3871
ISSN (Electronic)1860-0794

Conference

Conference4th IEEE International Workshop on Soft Computing as Transdisciplinary Science and Technology, WSTST 2005
CountryJapan
CityMuroran
Period25/05/0527/05/05

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