The Experts below are selected from a list of 31068 Experts worldwide ranked by ideXlab platform

Sonia Kityung Choi - One of the best experts on this subject based on the ideXlab platform.

  • final contractor selection using the Analytical Hierarchy Process
    Construction Management and Economics, 2000
    Co-Authors: Patrick S W Fong, Sonia Kityung Choi
    Abstract:

    Some contractor selection methods currently in existence are criticized as incomplete and biased, and lacking consideration in terms of the contractor's ability to achieve simultaneously, time, cost, quality and safety standards. This research examines an alternative contractor selection model called the Analytical Hierarchy Process (AHP), which will help construction clients to identify contractors with the best potential to deliver satisfactory outcomes in a final contractor selection Process which is not based simply on the lowest bid. The AHP comprises three parts: hierarchic structure, prioritization procedure, and calculation of results. This model is tested by a hypothetical scenario where three contractor candidates are evaluated. The criteria used for contractor selection in the model have been identified, and the significance of each criterion has been arrived at by conducting a questionnaire survey in public organizations in Hong Kong. Comparisons are made by ranking the aggregate scores of each candidate with regard to their performance against each of the criteria, and the candidate associated with the highest scores is the best contractor on this occasion.

  • final contractor selection using the Analytical Hierarchy Process
    2000
    Co-Authors: Patrick S W Fong, Sonia Kityung Choi
    Abstract:

    Some contractor selection methods currently in existence are criticized as incomplete and biased, and lacking consideration in terms of the contractor's ability to achieve simultaneously, time, cost, quality and safety standards. This research examines an alternative contractor selection model called the Analytical Hierarchy Process (AHP), which will help construction clients to identify contractors with the best potential to deliver satisfactory outcomes in a final contractor selection Process which is not based simply on the lowest bid. The AHP comprises three parts: hierarchic structure, prioritization procedure, and calculation of results. This model is tested by a hypothetical scenario where three contractor candidates are evaluated. The criteria used for contractor selection in the model have been identified, and the significance of each criterion has been arrived at by conducting a questionnaire survey in public organizations in Hong Kong. Comparisons are made by ranking the aggregate scores of eac...

Patrick S W Fong - One of the best experts on this subject based on the ideXlab platform.

  • final contractor selection using the Analytical Hierarchy Process
    Construction Management and Economics, 2000
    Co-Authors: Patrick S W Fong, Sonia Kityung Choi
    Abstract:

    Some contractor selection methods currently in existence are criticized as incomplete and biased, and lacking consideration in terms of the contractor's ability to achieve simultaneously, time, cost, quality and safety standards. This research examines an alternative contractor selection model called the Analytical Hierarchy Process (AHP), which will help construction clients to identify contractors with the best potential to deliver satisfactory outcomes in a final contractor selection Process which is not based simply on the lowest bid. The AHP comprises three parts: hierarchic structure, prioritization procedure, and calculation of results. This model is tested by a hypothetical scenario where three contractor candidates are evaluated. The criteria used for contractor selection in the model have been identified, and the significance of each criterion has been arrived at by conducting a questionnaire survey in public organizations in Hong Kong. Comparisons are made by ranking the aggregate scores of each candidate with regard to their performance against each of the criteria, and the candidate associated with the highest scores is the best contractor on this occasion.

  • final contractor selection using the Analytical Hierarchy Process
    2000
    Co-Authors: Patrick S W Fong, Sonia Kityung Choi
    Abstract:

    Some contractor selection methods currently in existence are criticized as incomplete and biased, and lacking consideration in terms of the contractor's ability to achieve simultaneously, time, cost, quality and safety standards. This research examines an alternative contractor selection model called the Analytical Hierarchy Process (AHP), which will help construction clients to identify contractors with the best potential to deliver satisfactory outcomes in a final contractor selection Process which is not based simply on the lowest bid. The AHP comprises three parts: hierarchic structure, prioritization procedure, and calculation of results. This model is tested by a hypothetical scenario where three contractor candidates are evaluated. The criteria used for contractor selection in the model have been identified, and the significance of each criterion has been arrived at by conducting a questionnaire survey in public organizations in Hong Kong. Comparisons are made by ranking the aggregate scores of eac...

Z Ayas - One of the best experts on this subject based on the ideXlab platform.

  • a modified Analytical Hierarchy Process m ahp approach for decision support systems in natural hazard assessments
    Computers & Geosciences, 2013
    Co-Authors: H A Nefeslioglu, Ebru Akcapinar Sezer, C Gokceoglu, Z Ayas
    Abstract:

    The Analytical Hierarchy Process (AHP) is a classic and powerful decision support tool. However, the conventional AHP has some disadvantages originating in the expert decision-making Process. To minimize the disadvantages of the conventional AHP, a modified Analytical Hierarchy Process (M-AHP), is suggested in this study. This study is conducted in three stages: (i) the theoretical background for the conventional AHP is introduced, (ii) essentials for the proposed M-AHP technique are given with an example solution for the evaluation of snow avalanche source susceptibility, and (iii) a computer code named M-AHP is presented. By applying the methodology suggested in this study, the consistency ratio value for the comparison matrix and the weight vector never exceeds 0.10. The M-AHP program is a complementary tool for natural hazard, natural resource, or nature preservation researchers who apply the M-AHP technique to their decision support problem.

Gholam R Amin - One of the best experts on this subject based on the ideXlab platform.

  • railway station site selection using Analytical Hierarchy Process and data envelopment analysis
    Computers & Industrial Engineering, 2010
    Co-Authors: Nahid Mohajeri, Gholam R Amin
    Abstract:

    This paper deals with the problem of finding the optimum site for a railway station for the city of Mashhad, northeast Iran, using the methods of Analytical Hierarchy Process (AHP) and data envelopment analysis (DEA). The paper identifies a four-level Hierarchy model for the railway station site-selection problem. The model uses four main criteria: (1) rail-related, (2) passenger services, (3) architecture and urbanism, and (4) economics. In addition, there are 26 subcriteria as well as five (potential) candidates or alternatives. Comparison matrices are used to obtain the local weights and priorities of the railway-station candidates. A DEA model is proposed to determine the optimum site for a railway station. It is shown that the local priorities (or weights) obtained from the AHP can be defined as the multiple outputs of a DEA model for finding the best site for a railway station.

  • railway station site selection using Analytical Hierarchy Process and data envelopment analysis
    Computers & Industrial Engineering, 2010
    Co-Authors: Nahid Mohajeri, Gholam R Amin
    Abstract:

    This paper deals with the problem of finding the optimum site for a railway station for the city of Mashhad, northeast Iran, using the methods of Analytical Hierarchy Process (AHP) and data envelopment analysis (DEA). The paper identifies a four-level Hierarchy model for the railway station site-selection problem. The model uses four main criteria: (1) rail-related, (2) passenger services, (3) architecture and urbanism, and (4) economics. In addition, there are 26 subcriteria as well as five (potential) candidates or alternatives. Comparison matrices are used to obtain the local weights and priorities of the railway-station candidates. A DEA model is proposed to determine the optimum site for a railway station. It is shown that the local priorities (or weights) obtained from the AHP can be defined as the multiple outputs of a DEA model for finding the best site for a railway station.

H A Nefeslioglu - One of the best experts on this subject based on the ideXlab platform.

  • a modified Analytical Hierarchy Process m ahp approach for decision support systems in natural hazard assessments
    Computers & Geosciences, 2013
    Co-Authors: H A Nefeslioglu, Ebru Akcapinar Sezer, C Gokceoglu, Z Ayas
    Abstract:

    The Analytical Hierarchy Process (AHP) is a classic and powerful decision support tool. However, the conventional AHP has some disadvantages originating in the expert decision-making Process. To minimize the disadvantages of the conventional AHP, a modified Analytical Hierarchy Process (M-AHP), is suggested in this study. This study is conducted in three stages: (i) the theoretical background for the conventional AHP is introduced, (ii) essentials for the proposed M-AHP technique are given with an example solution for the evaluation of snow avalanche source susceptibility, and (iii) a computer code named M-AHP is presented. By applying the methodology suggested in this study, the consistency ratio value for the comparison matrix and the weight vector never exceeds 0.10. The M-AHP program is a complementary tool for natural hazard, natural resource, or nature preservation researchers who apply the M-AHP technique to their decision support problem.