Contractor evaluation is a crucial part of the project management cycle and it is related to risk and risk management. One of the most main areas in the construction industry is the bidding process. The low-bid method fails to provide the public interest due to the issue that the lowest offer might not result in the lowest overall cost to the public. This research attempts to solve the contractor selection problem using three versions of Technique of ranking Preferences by Similarity to the Ideal Solution (TOPSIS), and compares their relative performance for two construction contractor’s selection problem. The proposed methodological tool can aid the manager in the modeling and selection of suitable contractor according to a set of predefined criteria in order to enhance the long-term performance of projects. Therefore after introducing the theoretical background, two examples are cited to demonstrate and validate the effectiveness and flexibility of these three versions of multi-criteria decision-making (MCDM) approaches. The results showed TOPSIS can be a good choice for contractor selection problems especially when there are a lot of alternatives.
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Youshij Yousefzadeh has obtained his Master in Eng. Management. He is a Professional Engineer with the Board of Engineers in Iran, and a Member of the Society of Civil and Construction Engineers Organization with over 13 years experience in Managing, Design and Construction of various types of Structures in Iran,Malaysia and International level.
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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 -Contractor evaluation is a crucial part of the project management cycle and it is related to risk and risk management. One of the most main areas in the construction industry is the bidding process. The low-bid method fails to provide the public interest due to the issue that the lowest offer might not result in the lowest overall cost to the public. This research attempts to solve the contractor selection problem using three versions of Technique of ranking Preferences by Similarity to the Ideal Solution (TOPSIS), and compares their relative performance for two construction contractor s selection problem. The proposed methodological tool can aid the manager in the modeling and selection of suitable contractor according to a set of predefined criteria in order to enhance the long-term performance of projects. Therefore after introducing the theoretical background, two examples are cited to demonstrate and validate the effectiveness and flexibility of these three versions of multi-criteria decision-making (MCDM) approaches. The results showed TOPSIS can be a good choice for contractor selection problems especially when there are a lot of alternatives. 68 pp. Englisch. Seller Inventory # 9783659362880
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Yousefzadeh YoushijYoushij Yousefzadeh has obtained his Master in Eng. Management. He is a Professional Engineer with the Board of Engineers in Iran, and a Member of the Society of Civil and Construction Engineers Organization with o. Seller Inventory # 5151187
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Contractor evaluation is a crucial part of the project management cycle and it is related to risk and risk management. One of the most main areas in the construction industry is the bidding process. The low-bid method fails to provide the public interest due to the issue that the lowest offer might not result in the lowest overall cost to the public. This research attempts to solve the contractor selection problem using three versions of Technique of ranking Preferences by Similarity to the Ideal Solution (TOPSIS), and compares their relative performance for two construction contractor's selection problem. The proposed methodological tool can aid the manager in the modeling and selection of suitable contractor according to a set of predefined criteria in order to enhance the long-term performance of projects. Therefore after introducing the theoretical background, two examples are cited to demonstrate and validate the effectiveness and flexibility of these three versions of multi-criteria decision-making (MCDM) approaches. The results showed TOPSIS can be a good choice for contractor selection problems especially when there are a lot of alternatives.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 68 pp. Englisch. Seller Inventory # 9783659362880
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Contractor evaluation is a crucial part of the project management cycle and it is related to risk and risk management. One of the most main areas in the construction industry is the bidding process. The low-bid method fails to provide the public interest due to the issue that the lowest offer might not result in the lowest overall cost to the public. This research attempts to solve the contractor selection problem using three versions of Technique of ranking Preferences by Similarity to the Ideal Solution (TOPSIS), and compares their relative performance for two construction contractor s selection problem. The proposed methodological tool can aid the manager in the modeling and selection of suitable contractor according to a set of predefined criteria in order to enhance the long-term performance of projects. Therefore after introducing the theoretical background, two examples are cited to demonstrate and validate the effectiveness and flexibility of these three versions of multi-criteria decision-making (MCDM) approaches. The results showed TOPSIS can be a good choice for contractor selection problems especially when there are a lot of alternatives. Seller Inventory # 9783659362880
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Taschenbuch. Condition: Neu. Contractor Selection Using Ordinary, Block & Modified Topsis | Youshij Yousefzadeh | Taschenbuch | 68 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659362880 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 106019858
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