Contractors play an important role in any construction project. Perhaps the most important decision is the selection of a contractor by the employer prior to the implementation of the project. Contractor selection process is associated with increased risk for employers. High Impact of contractor on cost, time and the quality of the project. In this study, for contractor selection unlike the conventional methods that are based on lowest value suggested for the project implementation, the selection of a contractor is based on the contractor's ability to do the project. The potential contractors using the contractor eligibility bylaw. In this paper, combination of the risk management process and fuzzy logic, have been used to identify and assess the risks of the contractors. After identifying risk the factors and the evaluated using AHP fuzzy, It is suggested that after obtaining weight, the fuzzy criteria and competence score for each contractor is obtained. Finally, very few qualified contractors will implement the project. This applied model can help the employers, till the implementation of the project by the contractor would face little risk.
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Seyed Ali Tabatabaei Kh.M-tech infrastructure engineering of JNTU ,college of engineering Hyderabad ,India.Bachelor of civil engineering of Sistan &Baluchestan UN,Zahedan,Iran.Technical supervisor of housing foundation of Islamic revolution ,Iran.Shen Benton Omran Co. Ltd.ZCCIM:Zahedan Chamber of Commerce,Industries and Mines.
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Contractors play an important role in any construction project. Perhaps the most important decision is the selection of a contractor by the employer prior to the implementation of the project. Contractor selection process is associated with increased risk for employers. High Impact of contractor on cost, time and the quality of the project. In this study, for contractor selection unlike the conventional methods that are based on lowest value suggested for the project implementation, the selection of a contractor is based on the contractor's ability to do the project. The potential contractors using the contractor eligibility bylaw. In this paper, combination of the risk management process and fuzzy logic, have been used to identify and assess the risks of the contractors. After identifying risk the factors and the evaluated using AHP fuzzy, It is suggested that after obtaining weight, the fuzzy criteria and competence score for each contractor is obtained. Finally, very few qualified contractors will implement the project. This applied model can help the employers, till the implementation of the project by the contractor would face little risk. 96 pp. Englisch. Seller Inventory # 9783659314247
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Tabatabaei Khodadadi Seyed AliSeyed Ali Tabatabaei Kh.M-tech infrastructure engineering of JNTU ,college of engineering Hyderabad ,India.Bachelor of civil engineering of Sistan &Baluchestan UN,Zahedan,Iran.Technical supervisor of hou. Seller Inventory # 5147876
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Taschenbuch. Condition: Neu. Neuware -Contractors play an important role in any construction project. Perhaps the most important decision is the selection of a contractor by the employer prior to the implementation of the project. Contractor selection process is associated with increased risk for employers. High Impact of contractor on cost, time and the quality of the project. In this study, for contractor selection unlike the conventional methods that are based on lowest value suggested for the project implementation, the selection of a contractor is based on the contractor's ability to do the project. The potential contractors using the contractor eligibility bylaw. In this paper, combination of the risk management process and fuzzy logic, have been used to identify and assess the risks of the contractors. After identifying risk the factors and the evaluated using AHP fuzzy, It is suggested that after obtaining weight, the fuzzy criteria and competence score for each contractor is obtained. Finally, very few qualified contractors will implement the project. This applied model can help the employers, till the implementation of the project by the contractor would face little risk.Books on Demand GmbH, Überseering 33, 22297 Hamburg 96 pp. Englisch. Seller Inventory # 9783659314247
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Contractors play an important role in any construction project. Perhaps the most important decision is the selection of a contractor by the employer prior to the implementation of the project. Contractor selection process is associated with increased risk for employers. High Impact of contractor on cost, time and the quality of the project. In this study, for contractor selection unlike the conventional methods that are based on lowest value suggested for the project implementation, the selection of a contractor is based on the contractor's ability to do the project. The potential contractors using the contractor eligibility bylaw. In this paper, combination of the risk management process and fuzzy logic, have been used to identify and assess the risks of the contractors. After identifying risk the factors and the evaluated using AHP fuzzy, It is suggested that after obtaining weight, the fuzzy criteria and competence score for each contractor is obtained. Finally, very few qualified contractors will implement the project. This applied model can help the employers, till the implementation of the project by the contractor would face little risk. Seller Inventory # 9783659314247
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Taschenbuch. Condition: Neu. Contractor Selection with Risk Assessment by using AHP Fuzzy Method | The proposed model for risk assessment | Seyed Ali Tabatabaei Khodadadi (u. a.) | Taschenbuch | 96 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783659314247 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 106116996
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