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Multi-Criteria Decision Modelling: Applicational Techniques and Case Studies

✍ Scribed by Rahul Sindhwani, Punj Lata Singh, Bhawna Kumar, Varinder Kumar Mittal, J. Paulo Davim


Publisher
CRC Press
Year
2021
Tongue
English
Leaves
223
Series
Science, Technology, and Management Series
Category
Library

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✦ Table of Contents


Cover
Half Title
Series Page
Title Page
Copyright Page
Contents
Preface
Editors
Contributors
1. Structural Modelling for the Factors of Facility Management in the Healthcare Industry Using the TISM Approach
1.1 Introduction
1.2 Identification of the Factors Affecting Facility Management in the Healthcare Sector
1.2.1 Organisational Structure Design
1.2.2 Talent Management
1.2.3 Conflict Management
1.2.4 Inter-Connectivity Management
1.2.5 Enterprise-Wide Integration of Learning
1.2.6 Customer Feedback Management
1.2.7 Market Awareness
1.2.8 External Collaborations
1.2.9 IT Tools/Technologies Adoption
1.2.10 Patient Assumption and Hospital Discernment
1.3 Methodology
1.3.1 Identified Factors Affecting Facility Management in Healthcare Organisations
1.3.2 TISM Analysis
1.4 MICMAC Analysis
1.4.1 The Development of the MICMAC Graph
1.4.2 Development of MICMAC Rank
1.5 Result and Discussion
1.6 Conclusion
References
Annexure I
2. Assessment of Optimum Automotive Brake Friction Formula by Entropy-VIKOR Technique
2.1 Introduction
2.2 Formulation of Composition and Testing
2.3 Optimization
2.4 Elementary/Preliminary Structure
2.4.1 Describing PAC, Alternatives, and Forming a Decision Matrix (DM)
2.4.2 Computation of Entropy (hi)
2.4.3 Determination of Criteria Weight
2.5 Ranking with VIKOR
2.5.1 Utility Measure
2.5.2 Regret Measure
2.5.3 VIKOR Index Ξ©j
2.6 Results and Discussion
Conclusions
References
3. Ranking of Phase Change Materials for Medium Temperature Thermal Energy Accumulation System Using Shannon Entropy, TOPSIS, and VIKOR Methods
3.1 Introduction and Background
3.2 Materials and Methods
3.2.1 Definition
3.2.2 Multi-Criteria Decision-Making Methods
3.2.2.1 Criteria Weighting
3.2.2.2 TOPSIS Method
3.2.2.3 VIKOR Method
3.3 Findings and Discussion
3.3.1 Criteria Weighting
3.3.2 TOPSIS Method
3.3.3 VIKOR Method
3.4 Conclusion and Suggestions
References
Annexures A-1: Thermo-Physical Properties of the Candidate Organic PCM
Annexure A-2: Ranking of Candidate Organic PCM Based on the TOPSIS Method
Annexure A-3: Ranking of Candidate Organic PCM Based on the VIKOR Method
4. Identification and Analysis of Enablers of Socially Sustainable SMEs Using the MCDM Approach
4.1 Introduction
4.2 Review of Literature
4.2.1 SMEs
4.2.2 ISM Application
4.2.3 Economic, Innovation, and Leadership Dimensions
4.3 Research Methodology
4.3.1 Identification of Factors
4.3.2 ISM Methodology
4.4 Case Background
4.4.1 Case Description
4.5 Results and Discussion
4.6 Conclusion
4.7 Managerial Implication
References
5. Application of the MCDM Technique for an Astute Decision-Making Process in the Renewable Energy Sector
5.1 Introduction
5.2 Multi-Criteria Decision-Making Methods in Energy
5.3 Application of MCDM Methods for Energy Selection and Decision-Making Policies
5.3.1 Analytic Hierarchy Process (AHP)
5.3.2 Analytic Network Process (ANP)
5.3.3 Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS)
5.3.4 ELimination Et Choix Traduisant la REalitΓ© (ELECTRE)
5.3.5 Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE)
5.3.6 Combined Method Style Approach
5.4 Scrutiny Analysis of Papers about Energy Management in Policy-Making
5.5 Conclusion
References
6. Assessing Challenges in the Implementation of Sustainable Human Resource Management Using the Fuzzy DEMATEL Approach
6.1 Introduction
6.2 Literature Review
6.2.1 Sustainable HRM
6.2.2 Sustainable Supply Chain Management
6.2.3 Integration of HRM Practices and SCM
6.2.4 Challenges and Issues in Implementing Sustainability
6.3 Methodology
6.3.1 Fuzzy DEMATEL Approach
6.3.2 Problem Environment
6.3.3 Numerical Illustration
6.4 Discussion and Conclusion
References
7. A Novel Entropy Measure for Linguistic Intuitionistic Fuzzy Sets and Their Application in Decision-Making
7.1 Introduction
7.2 Literature Review
7.2.1 Preliminaries
7.2.2 A Novel Entropy Measure for LIFS
7.3 MCDM Approaches Based on the Proposed EM
7.4 Comparative Study
7.5 Conclusion
References
8. An Insight into Decision-Making Using the Fuzzy Analytic Hierarchy Process (FAHP)
8.1 Introduction
8.2 Complexity of Analysis
8.3 Data Collection and Fuzzy Logic
8.4 Decision-Making with the Analytic Hierarchy Process
8.5 Conclusion
References
9. Application of the Fuzzy Analytic Hierarchy Process for Solar Panel Vendor Selection
9.1 Introduction
9.2 Evaluation Model for the Solar Panel Module
9.3 The Hierarchical Structure
9.4 Determination of Criteria and Sub-Criteria Weights
9.5 Critical Weight of Manufacturers, Experts, and Users
9.6 Evaluator's Estimation of the Performance of the Alternatives
9.7 Ranking of the Alternatives
9.8 Conclusion
References
10. Using Multi-Criteria Decision-Analysis to Build a Long-Term Business Strategy
10.1 Introduction
10.2 Connecting MCDA with Strategic Components
10.3 Strategic Decision-Making through Scenario Planning
10.4 The Proposed Two-Step Process of Validating a Strategy
10.5 Systems Thinking and Strategic Decision-Making
10.6 Conclusion
Note
References
11. Systematic Review and Deliberation of Various Multi-Criteria Decision-Making Techniques
11.1 Introduction
11.2 Analytical Hierarchy Process (AHP)
11.2.1 Gradation 1 Inaugurate Gradation for the "Criteria and Alternatives"
11.2.2 Gradation 2 Create a Couple-Wise Desertion Decision Matrix (M)
11.2.3 Gradation 3 The Matrix is Normalized and Prioritized to Get the Respective Weights of Criteria
11.2.4 Gradation 4 Evaluate the Reliability of the Judgements to Confirm the Outcome
11.3 Analytical Network Process (ANP)
11.4 Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS)
11.5 Vlse Kriterijumska Optimizcija I KaompromisnoResenje (VIKOR)
11.6 ELimination Et Choix Traduisant la REalitΓ© (ELECTRE)
11.7 Fuzzy Logic
11.8 Conclusion
References
Index


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