DocumentCode :
3082793
Title :
Manufacturing Execution Systems (MES) assessment and investment decision study
Author :
Chao, Liang ; Qing, Li
Author_Institution :
Tsinghua Univ., Beijing
Volume :
6
fYear :
2006
fDate :
8-11 Oct. 2006
Firstpage :
5285
Lastpage :
5290
Abstract :
Manufacturing execution systems (MES), a category of industrial software for the manufacturing environment, is grasping increasing attention, due to its unique ability to improve manufacturing performance, and then to have a positive impact on the financial performance of the company. For many executives, whether to implement MES to improve manufacturing and financial performance is an issue they must encounter. Since what MES brings about are not only benefits and potential opportunities, but also costs and potential risks, a comprehensive and systematic assessment is absolutely necessary before making such a critical investment decision. This paper proposes a decision methodology for MES investment decision making. In addition, a general decision model with respect to Benefits, Opportunities, Costs and Risks merits is provided. The decision methodology and decision model are validated by an undershirt manufacturer in China, by applying analytic network process (ANP) method.
Keywords :
decision making; investment; manufacturing systems; analytic network process method; comprehensive assessment; critical investment decision; decision methodology; industrial software; investment decision making; manufacturing execution systems assessment; systematic assessment; Chaos; Computer industry; Costs; Decision making; Investments; Manufacturing automation; Manufacturing industries; Personnel; Software performance; Virtual manufacturing; ANP; BOCR; Manufacture Execution systems; assessment; decision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2006. SMC '06. IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
1-4244-0099-6
Electronic_ISBN :
1-4244-0100-3
Type :
conf
DOI :
10.1109/ICSMC.2006.385148
Filename :
4274757
Link To Document :
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