Multiple Criteria Decision Making - Applications in Management and Engineering

Multiple Criteria Decision Making - Applications in Management and Engineering

 

 

 

von: Constantin Zopounidis, Michael Doumpos

Springer-Verlag, 2016

ISBN: 9783319392929

Sprache: Englisch

218 Seiten, Download: 4380 KB

 
Format:  PDF, auch als Online-Lesen

geeignet für: Apple iPad, Android Tablet PC's Online-Lesen PC, MAC, Laptop
Typ: B (paralleler Zugriff)

 

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Multiple Criteria Decision Making - Applications in Management and Engineering



  Preface 6  
     Introduction to the Theme of the Book 6  
     Outline of the Book 7  
     Acknowledgments 9  
  Contents 10  
  Contributors 12  
  1 Decision Aid in Public Administration: From Evidence-Based Decision Making to OrganizationalLearning 14  
     1.1 Introduction 14  
     1.2 Complexity Elements and Challenges 16  
        1.2.1 MCDA in Complex Situations 18  
        1.2.2 MC Applications Without the Activation of a Decision System 20  
        1.2.3 Decision System Open to Participation 22  
        1.2.4 Internal PA Decision System and Process 24  
     1.3 A Framework to Underline the Main Aspects of an MC Application in PA 26  
        1.3.1 Prioritization of Public Investments in Social Infra-Structures Using Multicriteria Value Analysis and Decision Conferencing [6] 29  
        1.3.2 An MC Application in the Sustainable Energy Action Plan Ambit [18] 30  
        1.3.3 An MC Approach for the Concept Design of a Complex Project [58, 59] 32  
        1.3.4 A Knowledge Base and an ELECTRE Tri Application to Facilitate New Financing Actions in the Public Sector [56] 34  
     1.4 Conclusions 36  
     References 38  
  2 Measuring Social Responsibility: A Multicriteria Approach 43  
     2.1 Introduction 43  
     2.2 Measuring the Social Responsibility of an Investment 45  
     2.3 Portfolio Selection Model for Socially Responsible Investment 53  
        2.3.1 Methodology 53  
        2.3.2 Results 54  
     2.4 Conclusions 56  
     References 57  
  3 Multi-Criteria Decision Analysis for Financial Investments Using AHP 59  
     3.1 Introduction: Banking and Microfinance Institution 59  
     3.2 Presentation of the AHP Method 60  
     3.3 Financial Institutions Definition 61  
        3.3.1 Analysis and Identification of the Project Objective 61  
        3.3.2 Develop the Hierarchical Structure of the Project: Risk Definition 62  
     3.4 Financial Institutions Analysis Step by Step 62  
        3.4.1 The Hierarchical Structure 62  
        3.4.2 Pairwise Comparisons for Criteria 64  
        3.4.3 Comparison Judgment Matrix 65  
        3.4.4 Priority Vector Calculation 66  
        3.4.5 Calculation of the Value ?max 66  
        3.4.6 Determine the Value of Random Index (RI) 67  
        3.4.7 Calculation of Consistency Index: CI 68  
        3.4.8 Consistency Ratio Calculation (CR) 68  
        3.4.9 Establish the Full Table of Criteria Comparison 68  
        3.4.10 Determine the Relative Importance of Criteria 69  
        3.4.11 Project Aggregation Calculation 69  
        3.4.12 Establish Comparisons by Pair of Studied Alternatives 69  
        3.4.13 Determine the Performance of the Alternatives Relatively to the Sub-Criteria 73  
        3.4.14 Calculation of the Final Aggregation 73  
     3.5 Conclusions and Perspectives 79  
     References 79  
  4 Financing Innovative SMEs 80  
     4.1 Introduction 80  
     4.2 A Brief Reminder of ELECTRE TRI and SMAA-TRI 81  
        4.2.1 ELECTRE TRI 81  
        4.2.2 SMAA-TRI 83  
     4.3 A Brief Introduction to the Multicriteria Judgemental Rating Model 83  
        4.3.1 Selection of the Evaluation Criteria 84  
        4.3.2 Definition of the Risk Classes 84  
        4.3.3 Assessment of the Criteria Weights 84  
     4.4 Case Study 86  
     References 91  
  5 A Multi-Criteria Recommender System Based on Users' Profile Management 93  
     5.1 Introduction 93  
     5.2 Recommenders Systems 94  
     5.3 Multi-Criteria Decision Support 95  
     5.4 Machine Learning 97  
     5.5 System Description 98  
     5.6 System Operating 99  
        5.6.1 Introduction 99  
        5.6.2 Scoring 100  
        5.6.3 Rate Computation 100  
        5.6.4 Pairwise Computation 101  
     5.7 Experiments and Results 103  
     5.8 Conclusions and Perspectives 106  
     References 107  
  6 E-commerce in the Context of Protected Areas Development: A Managerial Perspective Under a Multi-Criteria Approach 109  
     6.1 Introduction 110  
     6.2 Data and Methodology 112  
        6.2.1 Data 112  
        6.2.2 Methodology 112  
     6.3 Results and Discussion 117  
     6.4 Conclusions 119  
     References 119  
  7 Solving a Multicriteria Road Design Problem:A Practical Example 122  
     7.1 Introduction 122  
     7.2 Research Motivation 125  
        7.2.1 An Innovative Approach of Road Design 125  
           7.2.1.1 For a Preventive Assessment of Road Safety 125  
           7.2.1.2 A Support to Sustainable Road Projects 127  
        7.2.2 Towards a Multicriteria Analysis of the Design Process 128  
     7.3 Methodology 129  
        7.3.1 Multiobjective Evolutionary Algorithm 129  
        7.3.2 Multicriteria Ordered Clustering Model 131  
           7.3.2.1 The PROMETHEE Methods 131  
           7.3.2.2 The FlowSort Method 133  
           7.3.2.3 The PCLUST Model 133  
     7.4 Case Study: A Rural Road Project in Belgium 135  
        7.4.1 Definition of the Problem 136  
        7.4.2 Identifying the Approximated Set of Performing Solutions 137  
        7.4.3 Solving the Multicriteria Decision Problem 139  
     7.5 Conclusions 141  
     References 143  
  8 Locating Ship-to-Ship (STS) Transfer Operations via Multi-Criteria Decision Analysis (MCDA): A Case Study 146  
     8.1 Introduction 147  
     8.2 The Role of STS Transfer Areas 149  
     8.3 The ELECTRE Methodology 150  
     8.4 STS Location Problem Definition 151  
        8.4.1 Introduction to the Transfer Areas 151  
        8.4.2 Addressing a Consistent Family of Criteria 152  
     8.5 Results 157  
        8.5.1 Weight Determination 157  
        8.5.2 Veto Threshold Determination 160  
        8.5.3 Concordance Analysis 160  
        8.5.4 Discordance Analysis 161  
        8.5.5 The Kernel of the Outranking Graph 162  
     8.6 Discussion 162  
        8.6.1 Robustness Analysis of Criteria Weights 162  
        8.6.2 Interpretation of the Results 163  
     8.7 Conclusion 164  
     Appendix 1: Analytical Description of the ELECTRE I Methodology 165  
     Appendix 2: Short Introduction to the Proposed STS Transfer Locations 167  
     Appendix 3: Main Characteristics of the Vessel Used in the Practical Example 170  
     References 170  
  9 MCDM Applied to the Partitioning Problem of 3D-Stacked Integrated Circuits 173  
     9.1 Introduction 174  
     9.2 Multi-Criteria Decision Making Tools: The PROMETHEE Methods 176  
     9.3 3D Integration Technology 178  
        9.3.1 Implementation 180  
     9.4 Case Study 184  
        9.4.1 Experimental Set-up: Design and Implementation 184  
        9.4.2 Multi-Criteria Analysis 184  
           9.4.2.1 High Performance Production Scenario 185  
           9.4.2.2 Low Cost Production Scenario 188  
           9.4.2.3 Results Interpretation for an IC Designer 191  
     9.5 Conclusion and Future Works 192  
     Appendix 193  
     OpenSPARC-T2 SoC Design Alternatives: Evaluation Table 193  
     References 195  
  10 A MCDA-Based Approach for Evaluating Alternative Requalification Strategies for a Net-Zero Energy District (NZED) 196  
     10.1 Introduction 197  
     10.2 Methodological Framework 198  
     10.3 Application 200  
        10.3.1 Description of the Case Study 200  
        10.3.2 Presentation of the Alternative Strategies for Energy Requalification 202  
        10.3.3 Definition and Evaluation of the Criteria 203  
           10.3.3.1 Energy Performance 204  
           10.3.3.2 CO2 Emissions 204  
           10.3.3.3 Global Cost 205  
           10.3.3.4 Indoor Comfort 206  
           10.3.3.5 Energy Surplus Production 206  
           10.3.3.6 Green Jobs 206  
           10.3.3.7 Real Estate Market Value 207  
           10.3.3.8 Construction of the Performance Matrix 208  
        10.3.4 Weighting 209  
        10.3.5 Aggregation 210  
     10.4 Discussion of the Results 211  
     10.5 Conclusions 214  
     References 216  

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