Multi-Criteria Decision Modelling: Applicational Techniques and Case Studies

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 Ωj
	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 REalité (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 REalité (ELECTRE)
	11.7 Fuzzy Logic
	11.8 Conclusion
	References
Index