الفهرس 
Analytical Network Process (ANP)Only 14 pages are availabe for public view
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Abstract
The Egyptian construction companies that work on infrastructure projects are facing increasing challenges due to the increasing competition from foreign contractors. These challenges urge the need for evaluation of the competition ability of Egyptian construction companies. Reviewing the literature it was found that there are thirteen criteria must be taken into consideration when evaluating the competition ability (i) Financial ;(ii) Health and Safety ;(iii) Technical; ;(iv) Quality;(v) Organization ;(vi) Relationship ;(vii) Past Experience ;(viii) Past Performance ;(ix) Resources ;(x) Environmental ;(xi) Management ; (xii) Present workload ;( (xiii) Tendering price. The thirteen criteria have twenty seven sub-criteria that are collected from previous studies that influence the competition ability. This research identifies the most important sub criteria such as the Size of past project completed, Type of past project completed, Adequacy of labour resources, QA/QC programs, Adequacy of plant & equipment’s ,Present workload, Construction program, Construction method and Environmental plan. The data applied in this study are collected through a survey distributed to 23 experts in construction industry to determine the weight of each sub criteria, statistical analysis is carried out on respondents of the survey. By using SPSS software the mean score of each sub criteria and standard deviation were determined. Then a Framework for contractor selection was developed to evaluate and rank the bidders in infrastructure tenders based on sub criteria weights. The research also developed an expert system that can be used to evaluate the bidders and rank them in the Egyptian infrastructure projects tenders. Three cases study have been provided to check the validity of the proposed system and the result was the same as tender committee decision. Also the expert system have been examined by gathering the opinions of ten tender experts through personal interviews with a written questionnaire. The results showed that the proposed expert system practical and can be implemented. Finally, the developed expert program facilitates contractor selection instead of human judgment.