Consultant Offices Selection using the Analytic Hierarchy Process | ||||
The International Conference on Civil and Architecture Engineering | ||||
Article 27, Volume 10, 10th International Conference on Civil and Architecture Engineering, May 2014, Page 1-19 PDF (573.7 K) | ||||
Document Type: Original Article | ||||
DOI: 10.21608/iccae.2014.44189 | ||||
View on SCiNiTO | ||||
Authors | ||||
Y. Alamiri1; S. Mahfouz2; N. Amer2 | ||||
1Libyan Army, Libya. | ||||
2Egyptian Armed Forces, Military Technical College, Egypt. | ||||
Abstract | ||||
Abstract Consulting offices selection is an important step in the success of a construction project. Selecting consultant offices in the Libya is often done by the criterion of lowest price. This leads to a lack of innovation and a loss of quality in the construction industry. In this paper, the multi-criteria decision-making (MCDM) is suggests to be utilized for consultant offices selection. The analytic hierarchy process (AHP) has been used as a tool for MCDM. Here, the used criteria are those previously concluded from a former study. These criteria are human capabilities, office experience, previous performance level, assurance and quality control, office equipment, administrative system, training and development. In the current study, two questionnaires have been designed. The first questionnaire is designed to determine the weights of relative importance of each criteria (main and sub-criteria). The answers to the questionnaire are analyzed using the Expert Choice program. The second questionnaire is designed to calculate the average rate of certain criteria. The weights of relative importance for each main and sub-criteria are used to assess a consulting office for both of design and supervision stages. Finally, an administrative buildings project is assumed and it is required to select an office out of four offices (A, B, C, and D) using the proposed methodology. | ||||
Keywords | ||||
Consulting offices; Selection Criteria; Multi Criteria Decision Making; and Analytical Hierarchy Process (AHP) | ||||
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