Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/11708
Title: Framework to measure the performance of warehouse operations efficiency
Authors: Lam, CHY
Choy, KL 
Chung, SH 
Keywords: Decision making
Inference mechanisms
Knowledge based systems
Production engineering computing
Warehouse automation
Issue Date: 2010
Publisher: IEEE
Source: INDIN 2010 : proceedings : 8th IEEE International Conference on Industrial Informatics : Osaka University Nakanoshima Center, Osaka, Japan, 13-16 July, 2010, p. 634-639 How to cite?
Abstract: Warehouse management system (WMS) has been introduced and widely used to increase the competitiveness that provides better control on the warehouse operations since the last decade. However, most of the WMS do not support planning and monitoring the use of warehouse resources but only focus on managing the warehouse operations. The management of warehouse resources planning with incoming customer orders are solely relied on the knowledge of warehouse experts. Decision making process becomes difficult to handle with complex orders. In this paper, a concept of warehouse resources management (WRM) is introduced to the typical WMS by extracting qualified order attributes from WMS for completing the operations with suitable resources. Through the use of rule-based reasoning (RBR) technique, the research objective is achieved to effectively fulfill the customer orders with appropriate resources, thereby achieving better customer satisfaction and increase the warehouse operation efficiency.
URI: http://hdl.handle.net/10397/11708
ISBN: 978-1-4244-7298-7
DOI: 10.1109/INDIN.2010.5549667
Appears in Collections:Conference Paper

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