DocumentCode :
2287538
Title :
The application of utility computing and Web-services to inventory optimisation
Author :
Guo, Haifeng ; Galligan, P. ; Mooney, Jim ; Coronado, Adrian ; Kehoe, D.
Author_Institution :
Manage. Sch., Liverpool Univ., UK
Volume :
2
fYear :
2005
fDate :
11-15 July 2005
Firstpage :
185
Abstract :
The paper discusses the application of Web services and utility computing for inventory optimisation in manufacturing systems. The business case is highlighted from an inventory optimisation case study conducted with a UK based small-medium enterprise (SME) positioned within the discrete manufacturing industry. To measure the performance of the SME, a tried and tested methodology was applied. The challenges faced by organisations in cost effectively optimising inventory are discussed, detailing the traditional approaches and solutions, and exploring the alternative utility computing model and its associated benefits. The proposed functionality of a Web service solution is simulated in the case study to highlight the business benefits it could deliver. This provides the foundations for the design and architecture of the Web-service solution delivered as a utility computing model. The paper also details how the solution would interact with an enterprise resource planning (ERP) system to automate the optimisation process.
Keywords :
Internet; enterprise resource planning; inventory management; manufacturing resources planning; manufacturing systems; optimisation; small-to-medium enterprises; supply chain management; utility theory; ERP system; SME; Web services; enterprise resource planning; inventory optimisation; manufacturing industry; manufacturing systems; small-medium enterprise; utility computing; Computational modeling; Computer aided manufacturing; Computer applications; Computer architecture; Cost function; Enterprise resource planning; Manufacturing industries; Manufacturing systems; Testing; Web services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Services Computing, 2005 IEEE International Conference on
Print_ISBN :
0-7695-2408-7
Type :
conf
DOI :
10.1109/SCC.2005.96
Filename :
1524439
Link To Document :
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