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Evaluation of Multi-criteria Decision-making Capabilities in Construction Projects

Abdollahi, Azadeh | 2018

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  1. Type of Document: M.Sc. Thesis
  2. Language: English
  3. Document No: 51918 (51)
  4. University: Sharif University of Technology, International Campus, Kish Island
  5. Department: Science and Engineering
  6. Advisor(s): Haji, Alireza
  7. Abstract:
  8. Today, the major part of the capital of each country, especially developing countries, is devoted to its construction and construction projects. On the other hand, one of the growth and economic factors of any society is the success of its development projects. In fact, one of the activities of developing countries to build economic infrastructure is the implementation of infrastructure development projects that account for the bulk of the country's budget annually, and therefore the principled planning of these projects is from the requirements and it is necessary to achieve the lowest cost-to-productivity ratio. In Iran, which is considered as a developing country, a significant amount is spent annually on infrastructure projects. These projects are broadly based on the needs and facilities of each region throughout the country. Therefore, it is important to increase productivity in these projects. One of the techniques that project management experts consider and manage in projects is the need to focus on risk management in the project. Projects involve strategic, technical, economic, and national elements that originate from project goals and achieve the goals of the projects. The origin of the project risks can be found in technical, managerial, commercial, internal and external issues. Of course, structuring the decision-making process, which is difficult, can be done with greater certainty with the advent of different decision-making techniques. Now assume that the members of the board of directors of a construction project intend to assess the competence of several employers to participate in the bidding process and ensure their desirability and ability to carry out the project
  9. Keywords:
  10. Multicriteria Decision Making ; Analytical Hierarchy Process (AHP) ; Technique for Order-Perference by Similarity to Ideal Solution (TOPSIS)Method ; Construction Industry Projects

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  • 1.pdf
  • MS TEZ - Azadeh Abdollahi - 95253006 - EN.pdf
    • Azadeh Abdolahi MS Tez-EN.docx
      • Chapter I - General Investigation
        • 1-1 Introduction
        • 1-2 Problem statement
        • 1-3 The importance of the topic of research
          • 1-3-1 The importance and necessity of multi-criteria decision-making capabilities in selecting construction projects
          • 1-3-2 The importance and necessity of multi-criteria decision-making capabilities in evaluating the outsourcing of the whole or part of the project to a contractor or other company.
          • 1-3-3 The importance and necessity of multi-criteria decision-making capabilities Identify and prioritize the uncertainties and risks of construction Project
        • 1-4 Research questions
        • 1-5 Research objectives
          • 1-5-1 Main objectives
          • 1-5-2 Sub-goals
        • 1-6 Research area
          • 1-6-1 Time domain
          • 1-6-2 Locative area
          • 1-6-3 Subject area
        • 1-7 Research Innovation
        • 1-8 Summaries
      • Chapter II - Literature and research background
        • 2-1 Introduction
        • The first part of the theoretical foundations
        • 2-2 Strategic management
          • 2-2-1 Advantages of strategic management
        • 2-3 Strategic planning
          • 2-3-1 Definition of strategic planning
          • 2-3-2 Long-term planning and strategy planning
        • 2-4 Strategy and performance management
          • 2-4-1 Missions
            • 2-4-1-1 The components of the mission of the organization
            • 2-4-1-2 Formulation of the mission statement of the organization
            • 2-4-1-3 Mission of the organization in strategic planning
          • 2-4-2 Strategies for organizational values and behavior
          • 2-4-3 Offensive strategy
          • 2-4-4 Conservative strategy
          • 2-4-5 Defensive strategy
          • 2-4-6 Competitive strategy
        • 2-5 Objectives of the organization in strategic planning
        • 2-6 Building industrialization
          • 2-6-1 Competitive strategy
          • 2-6-2 -Differences in the industrialization of building and industrial industries
            • Table 2-1 : Main features of the construction compared to the industrial industry
          • 2-6-3 Major differences in industrial production of buildings and other industrial products
          • 2-6-4 Benefits of building industrialization
            • Figure 2-1: The Benefits of Building Industrialization
          • 2-6-5 Comparison of manufacturing speed between traditional and industrial methods
        • 2-7 Multi-criteria decision-making models
          •  Hierarchical analysis method
          •  Topsis method
          •  Electre method
          •  Analytic Network Process (ANP) Method
          •  VIKOR Method
          •  Linear Programing (LP) Method
        • 2-8 Research background
      • Chapter III - Research Methodology
        • In the last chapter, the theoretical and empirical foundations of the research were examined. In this chapter, the conceptual structure of the research method is described. For this purpose, firstly, the issues related to the used logical model are ex...
        • 3-1 Introduction
        • 3-2 Steps to conduct research
          • Table 3-1 : Indicators examined
          • 3-2-1 Data collection
          • 3-2-2 Preparation of a Delphi questionnaire
          • 3-2-3 Delphi method
          • 3-2-4 Steps to do Delphi method
          • 3-2-5 Statistical methods of Delphi questionnaire analysis
        • 3-3 Research method
          • 3-3-1 Hierarchical Analytic Method
            • Figure 3-1 : Priority of two triangular fuzzy numbers
            • 3-3-1-1 Chegose and Boucher compatibility test
          • 3-3-2 Topsis method
            • Figure 3-2 : Overview of the topsis solution
            • 3-3-2-1 Topsis technique algorithm
        • 3-4 Summary
      • Chapter IV - Analyzing the data
        • 4-1 Results of the questionnaire
          • 4-1-1 Statistical analysis of the first stage of the questionnaire
            • Table 4-1 : Score of each of the first stage indicators
          • 4-1-2 Statistical analysis of the second stage of the questionnaire
            • Table 4-2: The score obtained for each of the indicators is the second stage
        • 4-2 Ratings of causes
          • 4-2-1 Fuzzy Dumble
            • Table 4-3: The names of the criteria
            • Table 4-4 : The verbal expressions used in research and their equivalent values
            • Table 5-4: Average opinion of all experts
            • Table 4-6: Normalized Matrix
            • Table 4-7 : Total Matrix
            • Table 4-8 : Importance and Impact of Criteria (Fuzzy Numbers)
            • Table 4-9: The Importance and Impact of Criteria (Decreasing Numbers)
            • Figure 4-1 : Relationships and importance of criteria
          • 4-2-2 Fuzzy network analysis process
            • Table 4-10: Fuzzy spectrum and corresponding verbal expression
            • Table 4-11: Option names and their abbreviations
            • Table 4 12: Random Indicators (RI)
            • 4-2-2-1 Steps to gaining weight of components by analyzing fuzzy networks
              • Table 4-13: Average paired comparison of delayed causes
              • Table 4-14: Average pair comparisons to e
              • Table 4-15: Average pair comparisons to e
              • Table 4-16 : Average pair comparisons to c
              • Table 4-17: Average pair comparisons to c
              • Table 4-18: Average pair comparisons to d
              • Table 4-19: Average comparison of d
              • Table 4-20: Average pair comparisons to p
              • Table 4-21: Average pair comparisons to p
              • Table 4-22: Average pair comparisons to e1
              • Table 4-23: Average pair comparisons to e2
              • Table 4-24: Average pair comparisons to e3
              • Table 4-25 : Average paired comparison with e5
              • Table 4-26 : Average paired comparison with e6
              • Table 4-28: Average pair comparisons relative to c1
              • Table 4-29: Average pair comparisons to c5
              • Table 4-30: Average pair comparisons to c6
              • Table 4-31: Average pair comparisons relative to c7
              • Table 4-32: Average pair comparisons to c10
              • Table 4-33: Average pair comparisons to d2
              • Table 4-34: Average comparison of d7
              • Table 4-35: Average paired comparison p5
              • Table 4-36: Average paired comparison p7
              • Table 4-37: Average paired comparison p12
              • Table 4-38: Special vector level 2 matrix versus level 1
              • Table 4-39: Special vector level 2 matrix versus level 2
              • Table 4-40: Special vector level 3 matrix versus level 2
              • Table 4-41: Special matrix of level 3 surface versus level 3
              • Table 4-43 : Ultimate Criterion Matrix for Criteria for Delay
              • Figure 4-2: Ultimate Critical Charts Criteria over Delay Causes
              • Table 4-44 : Ultimate Weights Matrix Sub criteria for the causes of delay
              • Figure 4 3: Final weights diagram below the criteria for the causes of the delay
              • Table 4-45 : Final Values Matrix of Options for Delay Causes
              • Figure 4-4: Final Weight Chart Options over Delay Causes
        • 4-3 Summery
      • Chapter V - Composition and suggestions
        • 5-1 Introduction
        • 5-2 Summary of research and results
          • Figure 5-1: Causes of Delay in Development Projects
        • 5-3 Comparison of environmental risk factors in construction projects in Egypt and Iran
        • 5-4 Answers to research questions
        • 5-5 Research restrictions
        • 5-6 Suggestions for future research
        • 5-7 Summery
      • References
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