DocumentCode :
538208
Title :
A cross-border workflow management framework for measuring the performance of warehouse operations
Author :
Lam, H.Y. ; Choy, K.L. ; Chung, S.H. ; Poon, T.C.
Author_Institution :
Dept. of Ind. & Syst. Eng., Hong Kong Polytech. Univ., Hung Hom, China
fYear :
2010
fDate :
6-9 Oct. 2010
Firstpage :
1
Lastpage :
8
Abstract :
With the trend of manufacturing businesses moving from Hong Kong to Mainland China, the supply chain operation mode for logistics service providers (LSPs) is changing from local to cross border. In this business environment, logistics operations become complex in that customer orders need to be fulfilled across two regions. Therefore, the LSPs need to have to plan well and coordinate transportation and warehousing activities to facilitate the order fulfillment process (OFP). In this paper, a cross border workflow management framework (WMF) is proposed to help users to plan for the fulfillment of various customer orders with the most suitable resources and handling sequences within the warehouse. In addition, the concept of warehouse resources management (WRM), embracing the case-based reasoning technique and a rule-based mechanism, is introduced to enhance the flow of OFP. By following WMF in the pilot study, better customer order fulfillment with more efficient use of warehouse resources is achieved.
Keywords :
case-based reasoning; flexible manufacturing systems; order processing; production engineering computing; supply chain management; transportation; warehouse automation; workflow management software; Hong Kong; Mainland China; business environment; case- based reasoning technique; cross-border workflow management; customer orders; logistics operations; logistics service providers; manufacturing businesses; order fulfillment process; rule-based mechanism; supply chain operation; transportation; warehouse operations; warehouse resources management; Cognition; Engines; Planning; Resource management; Supply chains; Transportation; Order fulfillment process; artificial intelligence; resources management; warehouse management system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Supply Chain Management and Information Systems (SCMIS), 2010 8th International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-962-367-696-0
Type :
conf
Filename :
5681666
Link To Document :
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