Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/22312
Title: Improving postponement operation in warehouse : an intelligent pick-and-pack decision-support system
Authors: Tse, YK
Tan, KH
Ting, SL
Choy, KL 
Ho, GTS
Chung, SH
Keywords: 3PL
intelligent systems
picks and pack operation
postponement
Issue Date: 2012
Publisher: Taylor & Francis
Source: International journal of production research, 2012, v. 50, no. 24, p. 7181-7197 How to cite?
Journal: International journal of production research 
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.
URI: http://hdl.handle.net/10397/22312
ISSN: 0020-7543
EISSN: 1366-588X
DOI: 10.1080/00207543.2011.643505
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