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Improving and Developing Value Engineering with Data Mining Approach and Application of Neural Network

Bozorgi, Mohamad | 2011

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 41593 (01)
  4. University: Sharif University of Technology
  5. Department: Industrial Engineering
  6. Advisor(s): Hajji, Alireza
  7. Abstract:
  8. It has been passed more than half a century from the application of value methodology (including value analysis, value engineering, value management and value planning) to improve the project value and so far, thousands of value studies (VSs) have been performed all over the world. Because of the nature of this method, in all of data value studies, new approaches and valuable knowledge – which is called “study outcomes (OS)” in this study – are produced by specialists. However, nearly all of the new VSs as well as planning, designing or performing of new project is performed regardless of previous VS repeatable outcomes whereas presence of some previous VS members can be useful to enhance the experience and tacit knowledge of the new study. Consequently, mentality and experience of team members -which could be affected by various factors- has large impact on problem solving processes in VSs.
    Our study goal is to improve the VSs and develop its user domain by employing data mining (DM) concept and by means of neural networks (NN). To reach the mentioned goal, we primarily, present the produced outcomes of VS that may be useful for different purposes in future with step by step consideration of VSs phases. Then, the uniqueness of VSs in each project and solutions to overcome this problem is explained for use of study outcomes. Afterwards we design a simple database to categorize and classify the obtained outcomes. Finally, we descript an intelligent method by means of artificial neural network for information retrieval in future utilizations.
  9. Keywords:
  10. Data Mining ; Neural Network ; Decomposition ; Feature Extraction ; Value Engineering

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