Improving postponement operation in warehouse: an intelligent pick-and-pack decision-support system

Tse, Y.K. ORCID: https://orcid.org/0000-0001-6174-0326, Tan, K.H., Ting, S.L., Choy, K.L., Ho, G.T.S. and Chung, S.H. 2012. Improving postponement operation in warehouse: an intelligent pick-and-pack decision-support system. International Journal of Production Research 50 (24) , pp. 7181-7197. 10.1080/00207543.2011.643505

Full text not available from this repository.

Abstract

Today, many manufacturers prefer to shift their pick-and-pack postponement operations to third-party logistics companies to lower operational cost and improve mass customisation flexibility. The type of pick-and-pack operation is complicated, as it usually involves a large number of stock keeping units and several warehouse operations. Surprisingly, in most 3PL, the complicated postponement operations are still mainly managed by an experienced warehouse manager, which is an unreliable methodology and often creates many mistakes. A hybrid intelligent system integrating Case-Based Reasoning and Fuzzy Logic is proposed to support the manager in making pick-and-pack postponement decisions. The system comprises a solution-refining module that proposes and holds the details of past pick-and-pack operations. This approach will be of benefit to managers as effective decision support of pick and pack planning can be provided. A case study is used to illustrate the applicability and effectiveness of the approach. Implications of the proposed approach are discussed, and suggestions for further work are outlined.

Item Type:	Article
Date Type:	Published Online
Schools:	Business (Including Economics)
Publisher:	Taylor & Francis
ISSN:	0020-7543
Date of Acceptance:	18 November 2011
Last Modified:	07 Nov 2022 09:59
URI:	https://orca.cardiff.ac.uk/id/eprint/130801

Citation Data

Cited 13 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item