Modeling for Investment Guidance as a Performance Pre-assessment Method of Enterprise Integration

Current enterprise performance research focuses on the post-assessment and is always lack of approaches about the necessary pre-assessment. In this paper a modeling method for investment guidance of enterprise integration is proposed, which is a significant pre-assessment method. Because of the nume...

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Bibliographic Details
Published in2006 10th IEEE International Enterprise Distributed Object Computing Conference Workshops (EDOCW'06) p. 25
Main Authors Zhou, Jian, Li, Qing, Xu, Dafeng, Xiao, Tianyuan
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2006
Subjects
Automation
Design optimization
Fuzzy logic
Investments
ISO standards
Measurement
Optimization methods
Performance analysis
Project management
System performance
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Summary:Current enterprise performance research focuses on the post-assessment and is always lack of approaches about the necessary pre-assessment. In this paper a modeling method for investment guidance of enterprise integration is proposed, which is a significant pre-assessment method. Because of the numerous dynamic and subjective indicators of performance, modeling method presented in this paper is mainly based on the fuzzy rule for its natural advantages in this area. Firstly, considering the research requirements discussed in the literature review, the performance modeling framework for investment guidance is put forward grounded on the process model. Secondly, the original motivation to employ the fuzzy logic method is discussed and a theorem with logical criteria is suggested for conflict and redundancy validation of fuzzy rules which is necessary for performance modeling. Finally, the model for investment guidance is constructed and then a non-linear programming model is formulated to optimize the investment of enterprise integration.
ISBN:0769527434
9780769527437
DOI:10.1109/EDOCW.2006.49