KING FAHD UNIVERSITY OF PETROLEUM & MINERALS DHAHRAN SAUDI ARABIA DEPARTMENT OF ARCHITECTURAL ENGINEERING ARE 520: Advanced Construction and Maintenance Modeling A Conceptual Model for Consultant Selection in A Conceptual Model for Consultant Selection in Saudi Arabia. TERM (021) Submitted to: Dr Saadi Assaf Submitted by: Imran Iqbal I.D # Date :

OUTLINE INTRODUCTION INTRODUCTION RESEARCH OBJECTIVES RESEARCH OBJECTIVES ANALYTICAL HIERARCHY PROCESS (AHP) ANALYTICAL HIERARCHY PROCESS (AHP) PREVIOUS STUDIES PREVIOUS STUDIES RESEARCH METHODOLOGY RESEARCH METHODOLOGY DEVELOP THE CCSE MODEL DEVELOP THE CCSE MODEL CONDUCT PAIR WISE COMPARISON CONDUCT PAIR WISE COMPARISON  TEST THE MODEL RESEARCH FINDINGS RESEARCH FINDINGS CONCLUSIONS AND RECOMMENDATIONS CONCLUSIONS AND RECOMMENDATIONS RECOMMENDATIONS FOR FUTURE STUDIES RECOMMENDATIONS FOR FUTURE STUDIES

INTRODUCTION  There are many selection methods, but the best method is the one where A/Es are selected on the basis of their professional qualifications and competence.  All A/Es are carefully reviewed and are selected taking into criteria like experience, compatibility, specialization and professional standing.  The success of A/E selection process depends on the well- developed methodology based on comparing the selection alternatives in terms of their related criteria  The lack of in house experience forced the public sector to seek external professional consultants from the local and foreign consulting A/E firms.

INTRODUCTION: Efficiency, convenience and quality of any construction project are affected by the important decisions that have to be taken at the early stages of initiating the project. Efficiency, convenience and quality of any construction project are affected by the important decisions that have to be taken at the early stages of initiating the project. An architectural engineer firm (A/E) selection is one of these decisions that will have an effect on the projects construction stages. An architectural engineer firm (A/E) selection is one of these decisions that will have an effect on the projects construction stages. Direct Selection Method: Based on A/E reputation or owner’s prior experience with A/E, or a former client ‘s recommendations. Direct Selection Method: Based on A/E reputation or owner’s prior experience with A/E, or a former client ‘s recommendations. Competitive Selection Method: Based on either fee or/and design criteria. Competitive Selection Method: Based on either fee or/and design criteria. Comparative Selection Method: Based on objective evaluation of the A/E’s qualifications and technical experience. Comparative Selection Method: Based on objective evaluation of the A/E’s qualifications and technical experience.  This model is based on the Analytical Hierarchy Process (AHP), which was developed by the well known mathematician Thomas L.Saaty.

RESEARCH OBJECTIVES RESEARCH OBJECTIVES To identify the selection criteria which are accounted to be the major factors influencing the A/E selection process to determine the best A/E.? To identify the selection criteria which are accounted to be the major factors influencing the A/E selection process to determine the best A/E.? To develop a conceptual Analytic Hierarchical Process (AHP) model for solving the A/E selection problem to help the public sector in prequalifying and selecting qualified A/Es, who should be “financially capable and technically strong”. To develop a conceptual Analytic Hierarchical Process (AHP) model for solving the A/E selection problem to help the public sector in prequalifying and selecting qualified A/Es, who should be “financially capable and technically strong”. To test the model. To test the model.

ANALYTICAL HIERARCHY PROCESS (AHP): Step 1: Construct a decision hierarchy by breaking down the decision problem into a hierarchy of its elements. Step 1: Construct a decision hierarchy by breaking down the decision problem into a hierarchy of its elements. Step 2: Collect input by a pair wise comparison of decision elements. Step 2: Collect input by a pair wise comparison of decision elements. Step 3: Determine whether the input data satisfy a consistency test; if not repeat the pair wise comparison. Step 3: Determine whether the input data satisfy a consistency test; if not repeat the pair wise comparison. Step 4: Calculate the relative weights of the decision elements. Step 4: Calculate the relative weights of the decision elements. Step 5: Aggregate the relative weight to obtain scores and hence rankings for the decision alternatives. Step 5: Aggregate the relative weight to obtain scores and hence rankings for the decision alternatives.

PREVIOUS STUDIES: Frederick (1991) and Albolnour (1994) indicated that, when the design budget is allocated for a new project and the need for A/E services are confirmed, one of the first task for public sector is selecting a suitable A/E from a long list of candidates. This results in the selection and engagement of the most qualified A/E, which establishes the project quality from the earliest stage. Frederick (1991) and Albolnour (1994) indicated that, when the design budget is allocated for a new project and the need for A/E services are confirmed, one of the first task for public sector is selecting a suitable A/E from a long list of candidates. This results in the selection and engagement of the most qualified A/E, which establishes the project quality from the earliest stage. Al-Shiha (1993) conducted Research on the effect of faulty design and construction factors on the maintenance of facilities. One of his strongest conclusions is that A/E poor selection effects not only the design and construction stages of the projects, but also forms a major foundation for financial obstacles causing a gradual increase in the running or maintenance costs of buildings and may shorten the effective life span of the facilities. Al-Shiha (1993) conducted Research on the effect of faulty design and construction factors on the maintenance of facilities. One of his strongest conclusions is that A/E poor selection effects not only the design and construction stages of the projects, but also forms a major foundation for financial obstacles causing a gradual increase in the running or maintenance costs of buildings and may shorten the effective life span of the facilities. When Al-MUSSALAMI (1992) conducted a study on the consultancy practice in Saudi Arabia, he concluded “The public clients are the major users of A/E design services”. When Al-MUSSALAMI (1992) conducted a study on the consultancy practice in Saudi Arabia, he concluded “The public clients are the major users of A/E design services”.

RESEARCH METHODOLOGY 1. ANALYZE CURRENT CONSULTANT SELECTION CRITERIA. 1. ANALYZE CURRENT CONSULTANT SELECTION CRITERIA. current work load; experience; economic constraints; quality control; experience in geographic location; firm capacity; firm organization; staff availability and qualifications; head office location; project management capabilities; reference and past performance. current work load; experience; economic constraints; quality control; experience in geographic location; firm capacity; firm organization; staff availability and qualifications; head office location; project management capabilities; reference and past performance. 2. RANK THE IMPORTANCE OF THESE A/E SELECTION CRITERIA. 2. RANK THE IMPORTANCE OF THESE A/E SELECTION CRITERIA. A pilot study was conducted to make sure that the important A/E selection criteria were identified comprehensively covered. A pilot study was conducted to make sure that the important A/E selection criteria were identified comprehensively covered. The questionnaire was personally handed over to thirty (30) public agencies having approved budgets and thirty (30) consultants. The questionnaire was personally handed over to thirty (30) public agencies having approved budgets and thirty (30) consultants. They were asked to rate the selection criteria in order of importance. They were asked to rate the selection criteria in order of importance. Analysis Of Data Received Analysis Of Data Received The criteria were ranked according to the highest average rank (A.R) and the importance index (I.I). The criteria were ranked according to the highest average rank (A.R) and the importance index (I.I). 3. FILTER THE A/E SELECTION CRITERIA 3. FILTER THE A/E SELECTION CRITERIA Unwanted criteria were omitted. Unwanted criteria were omitted.

n n Average Rank (A.R) = [Σ (ai * Xi)/n] Average Rank (A.R) = [Σ (ai * Xi)/n] i=1 i=1 Importance Index (I.I) = [Σ (ai* Xi) / n] X 100% Importance Index (I.I) = [Σ (ai* Xi) / n] X 100% I=10 I=10

4. DEVELOP THE CCSE MODEL: List Selection Criteria: List Selection Criteria: Check for major and common criteria: Check for major and common criteria: Add and modify criteria Add and modify criteria List prospective A/Es: List prospective A/Es: Pre-qualify for short list: Pre-qualify for short list: Apply AHP Model: Apply AHP Model: Test for Consistency: Test for Consistency:

Conduct Pair wise Comparison: Conduct Pair wise Comparison: Importance which is appropriate when comparing one criterion (objective) with another. Importance which is appropriate when comparing one criterion (objective) with another. Preference which is appropriate and used when comparing the alternatives. Preference which is appropriate and used when comparing the alternatives. Likelihood which is appropriate when comparing the probability of an outcome. Likelihood which is appropriate when comparing the probability of an outcome. Verbal which allows for comparing nodes using English language terms. Verbal which allows for comparing nodes using English language terms. Graphical which allows for comparing nodes using graphical measures. Graphical which allows for comparing nodes using graphical measures. Numerical which allows for comparing nodes using numbers in a matrix or questionnaire format. Numerical which allows for comparing nodes using numbers in a matrix or questionnaire format.

Synthesize for Overall Result. Synthesize for Overall Result. Rank A/Es Rank A/Es Select A/E: Select A/E: Negotiate and Agree with A/E: Negotiate and Agree with A/E: Sign a contract: Sign a contract:

TEST THE MODEL: The application of the CCSM model involved two public organizations (PSO1, PSO 2) who agreed to use the CCSM model for conducting the A/E selection process for needed services. The application of the CCSM model involved two public organizations (PSO1, PSO 2) who agreed to use the CCSM model for conducting the A/E selection process for needed services. The identified selection criteria (table 4), the AHP, and a computerized decision support system (Expert Choice, Version ECpro 9.5) were used to structure the CCSM model. The identified selection criteria (table 4), the AHP, and a computerized decision support system (Expert Choice, Version ECpro 9.5) were used to structure the CCSM model. Figures (1 & 2) display the model trees for PSO1 and PSO2 respectively. Figures (1 & 2) display the model trees for PSO1 and PSO2 respectively. The two organizations (PSO 1 and PSO 2) were then asked to fill in their judgments in the pair wise comparison matrices (table 5 and 6), and hence were used to calculate priorities and testing consistencies of the judgments of the alternatives. The two organizations (PSO 1 and PSO 2) were then asked to fill in their judgments in the pair wise comparison matrices (table 5 and 6), and hence were used to calculate priorities and testing consistencies of the judgments of the alternatives. Finally the distributive mode was used to perform the overall synthesis and the inconsistency ratios are shown in figures 3, and 4. Finally the distributive mode was used to perform the overall synthesis and the inconsistency ratios are shown in figures 3, and 4.

RESEARCH FINDINGS: Thirteen (13) selection criteria were identified as major and most effective selection criteria. Public sector and consultants ranked them as shown in table 5. They were later on summarized to eight (8) selection criteria only to develop the CCSM model. Thirteen (13) selection criteria were identified as major and most effective selection criteria. Public sector and consultants ranked them as shown in table 5. They were later on summarized to eight (8) selection criteria only to develop the CCSM model. Questionnaire data analysis indicated a strong agreement between public sector and consultants in ranking the major selection criteria. Questionnaire data analysis indicated a strong agreement between public sector and consultants in ranking the major selection criteria. Staff and qualifications are ranked first. This is due to the fact that public sector considers “staff and qualification criteria” as the most important criteria which must be evaluated for proper and successful selection. Staff and qualifications are ranked first. This is due to the fact that public sector considers “staff and qualification criteria” as the most important criteria which must be evaluated for proper and successful selection. “Economical Constraints” criteria are not as applicable to A/E selection process in Saudi Arabia as it is to selection process of construction contractors. However the case differs when selecting a design/build team for public projects. “Economical Constraints” criteria are not as applicable to A/E selection process in Saudi Arabia as it is to selection process of construction contractors. However the case differs when selecting a design/build team for public projects.

CONCLUSIONS AND RECOMMENDATIONS: The main objectives of the research “Identifying the Major Selection Criteria” and “the Development of A/E Consultant Conceptual Selection Model CCSM”, were accomplished. The main objectives of the research “Identifying the Major Selection Criteria” and “the Development of A/E Consultant Conceptual Selection Model CCSM”, were accomplished. The CCSM Model is implemented for solving the complicated selection problem, in a practical way of comparing prospective A/Es in terms of selection criteria. The CCSM Model is implemented for solving the complicated selection problem, in a practical way of comparing prospective A/Es in terms of selection criteria. The implementation proved that the CCSM Model is consistent, practical, and effective selection tool for selecting the qualified A/E. The implementation proved that the CCSM Model is consistent, practical, and effective selection tool for selecting the qualified A/E. The CCSM is flexible enough to meet the public sector demand for accommodating additional criteria as needed. The CCSM is flexible enough to meet the public sector demand for accommodating additional criteria as needed. As such this CCSM model is recommended for use by the Saudi Public sector for this purpose. As such this CCSM model is recommended for use by the Saudi Public sector for this purpose.

RECOMMENDATIONS FOR FUTURE STUDIES: o It is recommended that a further study of the secondary or sub-criteria be conducted to determine their effect and contribution to the selection process. o The agreement “CONTRACT” between owner and A/E reviewed to develop a standard agreement that will take into full considerations about contract conditions, fees, and the level of work experience. o The classification of A/E should be established and enforced to keep up the quality of consultancy. o A similar selection model for private sector should be developed and validated.

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