A Novel Hybrid Multi-Criteria Decision-Making Model for Gree
发布时间：2020-12-20 02:21
采掘业尤其是矿业作为国家重要的财政收入来源之一,对许多发展中国家的经济至关重要。然而,当前采矿业供应链作业造成了严重的环境和社会问题,并带来了严重经济后果。因此,有必要采用战略性和有效的方式,通过扩展供应链等组织实践措施来应对上述问题。在采矿业实施绿色供应链是一个重要且行之有效的战略途径,但绿色供应链的影响因素及其在矿业战略和运营方面的作用尚未完全凸显。开发、评估、评价和选择必要的绿色供应链管理(GSCM)因素是成功实施绿色供应链管理的目标之一,但这些因素之间可能存在相互关联的复杂关系。因此,理解这些因素及它们的相对重要性,是在采矿业成功实施绿色供应链管理的首要步骤。本文的研究目标如下：(1)构建考虑环境可持续发展的绿色供应链决策框架(因素及指标),以提高采矿业的效率和环境管理能力；(2)提出一种新型的集成多准则决策工具,定量研究绿色供应链管理程序化在采矿和其他行业中的发展；(3)如何应用该决策工具来解决采矿业绿色供应链管理问题。为实现以上目标并填补研究空缺,本文在已有文献基础上,从多元化理论角度确定绿色供应链管理的影响因素,帮助矿业公司具备处理环境影响的能力,实现可持续发展。为识别潜...
【文章来源】：大连理工大学辽宁省 211工程院校 985工程院校 教育部直属院校
【文章页数】：224 页
【学位级别】：博士
【文章目录】：
Abstract
摘要
Chapter 1 Introduction
1.1 Background
1.2 Problem Description
1.3 Research Questions
1.4 Motivation
1.4.1 Green Supply Chain Management Conceptual Framework
1.4.2 Novel Hybrid Multi-Criteria Decision-Making Tool
1.4.3 Green Supply Chain Empirical Study in Ghanaian Mining Industry
1.5 Objectives of the Dissertation
1.5.1 Overview on Approach to Achieve Objectives of the Dissertation
1.6 Main Research Contributions
1.6.1 Proposed Green Supply Chain Management Conceptual Framework
1.6.2 Proposed Novel Hybrid Multi-Criteria Decision-Making Tool
1.6.3 Green Supply Chain Management Empirical Study and Results
1.7 Organization of the Dissertation
Chapter 2 Literature Review
2.1 Overview
2.2 Supply Chain Management
2.3 Green Supply Chain Management
2.4 GSCM Factors in the Mining Industry
2.5 Multi-Criteria Decision-Making Methods for GSCM Evaluation
2.6 Gap Analysis
2.6.1 Gap Analysis for GSCM Factors in the Mining Industry
2.6.2 Gap Analysis for Selected MCDM Tools for Green Evaluation
2.7 General Advantages of Selected MCDM Models
2.7.1 Specific Advantages of the Individual Models
2.7.2 Specific Limitations of the Individual Models
2.8 Summary
Chapter 3 Research Design and Methodology
3.1 Overview
3.2 Research Design
3.3 Population of the Dissertation
3.4 Sampling and Sampling Techniques
3.5 Data Collection
3.5.1 Primary Data Collection
3.5.2 Secondary Data Collection
3.6 Data Analysis
3.6.1 Primary Data Analysis
3.6.2 Secondary Data Analysis
3.7 Reliability and Validity of the Approach and Results
3.8 Ethics and Confidentiality
3.9 Overall Research Solution Methodology
3.10 Summary
Chapter 4 Proposed Green Supply Chain Management Conceptual Framework For theMining Industry
4.1 Overview
4.2 Environmental Effects and Initiatives within Ghanaian Mining Industry
4.3 Theoretical Background
4.3.1 Systems Theory
4.3.2 Resource-Based View Theory
4.3.3 Relational Theory
4.3.4 Dynamic Capabilities Theory
4.4 Conceptual Relationship between GSCM and Sustainable Performance
4.5 Green Supply Chain Management Framework for the Mining Industry
4.6 Refinements and Development Method
4.6.1 Delphi Method
4.6.2 Modified-Delphi Method
4.7 Refining Green Supply Chain Management Factors and Sub-Factors
4.7.1 Green Information Technology and Systems （GITS）
4.7.2 Strategic Suppliers Partnership （SSP）
4.7.3 Operations and Logistics Integration （OLI）
4.7.4 Internal Environmental Management （IEM）
4.7.5 Eco-Innovative Factors （ECO）
4.7.6 End-of-Life Factors （EOL）
4.8 GSCM Implementation Benefits and Sustainable Performances
4.8.1 GSCM Implementation and Economic Performance Outcome
4.8.2 GSCM Implementation and Environmental Performance Outcome
4.8.3 GSCM Implementation and Social Performance Outcome
4.9 Summary
Chapter 5 Proposed Novel Hybrid Multi-Criteria Decision-Making Methodology
5.1 Overview
5.2 Technical Background of the Proposed Novel Hybrid Methodology
5.2.1 Fuzzy-DEMATEL Method
5.2.2 ANP Method
5.2.3 GRA Method
5.3 Proposed Novel Hybrid MCDM Model with Computational Steps
5.3.1 Phase 1: Fuzzy-DEMATEL to Determine Interrelationships
5.3.2 Phase 2: ANP to Determine Factor Importance to Overall Goal
5.3.3 Phase 3: GRA to Determine the Most Sustainable Performance
5.4 Advantages and Limitations of the Proposed MCDM Model
5.4.1 Advantages of the Proposed MCDM Model
5.4.2 Limitations of the Proposed MCDM Model
5.5 Summary
Chapter 6 Case Application Analysis and Results
6.1 Overview
6.2 Ghanaian Mining Industry Scenario
6.3 Case Application Analysis
6.3.1 Fuzzy-DEMATEL Method Analysis
6.3.2 ANP Method Analysis
6.3.3 GRA Method Analysis
6.4 Case Application Results Discussion
6.4.1 Fuzzy-DEMATEL Results Discussion-Causal Relationship
6.4.2 ANP Results Discussion-Criteria Importance to Overall Goal
6.4.3 GRA Results Discussion-Sustainability Dimension to Overall Goal
6.5 Managerial Feedback For Validity and Reliability of Results & Approach
6.6 Summary
Chapter 7 Conclusion and Future Work
7.1 Overview
7.2 Conclusion
7.3 Abstract of Innovative Points
7.4 General Contributions and Implications of the Dissertation
7.5 Limitations and Suggestions for Further Studies
7.6 Overall Summary
References
Appendices
Appendix A
Appendix B
Appendix C
Published Academic Theses during PhD Period
Acknowledgement
About the Author
【参考文献】：
期刊论文
[1]Settling characteristics of ultrafine iron ore slimes[J]. Chinthapudi Eswaraiah,Surendra Kumar Biswal,Barada Kanta Mishra. International Journal of Minerals Metallurgy and Materials. 2012(02)
[2]Environmental issues from coal mining and their solutions[J]. INYANG Hilary I,DANIELS John L,OTTO Frank,STRUTHERS Sue. Mining Science and Technology. 2010(02)
[3]DECISION MAKING - THE ANALYTIC HIERARCHY AND NETWORK PROCESSES （AHP/ANP）[J]. Thomas L.SAATY. Journal of Systems Science and Systems Engineering. 2004(01)
本文编号：2927021
【文章来源】：大连理工大学辽宁省 211工程院校 985工程院校 教育部直属院校
【文章页数】：224 页
【学位级别】：博士
【文章目录】：
Abstract
摘要
Chapter 1 Introduction
1.1 Background
1.2 Problem Description
1.3 Research Questions
1.4 Motivation
1.4.1 Green Supply Chain Management Conceptual Framework
1.4.2 Novel Hybrid Multi-Criteria Decision-Making Tool
1.4.3 Green Supply Chain Empirical Study in Ghanaian Mining Industry
1.5 Objectives of the Dissertation
1.5.1 Overview on Approach to Achieve Objectives of the Dissertation
1.6 Main Research Contributions
1.6.1 Proposed Green Supply Chain Management Conceptual Framework
1.6.2 Proposed Novel Hybrid Multi-Criteria Decision-Making Tool
1.6.3 Green Supply Chain Management Empirical Study and Results
1.7 Organization of the Dissertation
Chapter 2 Literature Review
2.1 Overview
2.2 Supply Chain Management
2.3 Green Supply Chain Management
2.4 GSCM Factors in the Mining Industry
2.5 Multi-Criteria Decision-Making Methods for GSCM Evaluation
2.6 Gap Analysis
2.6.1 Gap Analysis for GSCM Factors in the Mining Industry
2.6.2 Gap Analysis for Selected MCDM Tools for Green Evaluation
2.7 General Advantages of Selected MCDM Models
2.7.1 Specific Advantages of the Individual Models
2.7.2 Specific Limitations of the Individual Models
2.8 Summary
Chapter 3 Research Design and Methodology
3.1 Overview
3.2 Research Design
3.3 Population of the Dissertation
3.4 Sampling and Sampling Techniques
3.5 Data Collection
3.5.1 Primary Data Collection
3.5.2 Secondary Data Collection
3.6 Data Analysis
3.6.1 Primary Data Analysis
3.6.2 Secondary Data Analysis
3.7 Reliability and Validity of the Approach and Results
3.8 Ethics and Confidentiality
3.9 Overall Research Solution Methodology
3.10 Summary
Chapter 4 Proposed Green Supply Chain Management Conceptual Framework For theMining Industry
4.1 Overview
4.2 Environmental Effects and Initiatives within Ghanaian Mining Industry
4.3 Theoretical Background
4.3.1 Systems Theory
4.3.2 Resource-Based View Theory
4.3.3 Relational Theory
4.3.4 Dynamic Capabilities Theory
4.4 Conceptual Relationship between GSCM and Sustainable Performance
4.5 Green Supply Chain Management Framework for the Mining Industry
4.6 Refinements and Development Method
4.6.1 Delphi Method
4.6.2 Modified-Delphi Method
4.7 Refining Green Supply Chain Management Factors and Sub-Factors
4.7.1 Green Information Technology and Systems （GITS）
4.7.2 Strategic Suppliers Partnership （SSP）
4.7.3 Operations and Logistics Integration （OLI）
4.7.4 Internal Environmental Management （IEM）
4.7.5 Eco-Innovative Factors （ECO）
4.7.6 End-of-Life Factors （EOL）
4.8 GSCM Implementation Benefits and Sustainable Performances
4.8.1 GSCM Implementation and Economic Performance Outcome
4.8.2 GSCM Implementation and Environmental Performance Outcome
4.8.3 GSCM Implementation and Social Performance Outcome
4.9 Summary
Chapter 5 Proposed Novel Hybrid Multi-Criteria Decision-Making Methodology
5.1 Overview
5.2 Technical Background of the Proposed Novel Hybrid Methodology
5.2.1 Fuzzy-DEMATEL Method
5.2.2 ANP Method
5.2.3 GRA Method
5.3 Proposed Novel Hybrid MCDM Model with Computational Steps
5.3.1 Phase 1: Fuzzy-DEMATEL to Determine Interrelationships
5.3.2 Phase 2: ANP to Determine Factor Importance to Overall Goal
5.3.3 Phase 3: GRA to Determine the Most Sustainable Performance
5.4 Advantages and Limitations of the Proposed MCDM Model
5.4.1 Advantages of the Proposed MCDM Model
5.4.2 Limitations of the Proposed MCDM Model
5.5 Summary
Chapter 6 Case Application Analysis and Results
6.1 Overview
6.2 Ghanaian Mining Industry Scenario
6.3 Case Application Analysis
6.3.1 Fuzzy-DEMATEL Method Analysis
6.3.2 ANP Method Analysis
6.3.3 GRA Method Analysis
6.4 Case Application Results Discussion
6.4.1 Fuzzy-DEMATEL Results Discussion-Causal Relationship
6.4.2 ANP Results Discussion-Criteria Importance to Overall Goal
6.4.3 GRA Results Discussion-Sustainability Dimension to Overall Goal
6.5 Managerial Feedback For Validity and Reliability of Results & Approach
6.6 Summary
Chapter 7 Conclusion and Future Work
7.1 Overview
7.2 Conclusion
7.3 Abstract of Innovative Points
7.4 General Contributions and Implications of the Dissertation
7.5 Limitations and Suggestions for Further Studies
7.6 Overall Summary
References
Appendices
Appendix A
Appendix B
Appendix C
Published Academic Theses during PhD Period
Acknowledgement
About the Author
【参考文献】：
期刊论文
[1]Settling characteristics of ultrafine iron ore slimes[J]. Chinthapudi Eswaraiah,Surendra Kumar Biswal,Barada Kanta Mishra. International Journal of Minerals Metallurgy and Materials. 2012(02)
[2]Environmental issues from coal mining and their solutions[J]. INYANG Hilary I,DANIELS John L,OTTO Frank,STRUTHERS Sue. Mining Science and Technology. 2010(02)
[3]DECISION MAKING - THE ANALYTIC HIERARCHY AND NETWORK PROCESSES （AHP/ANP）[J]. Thomas L.SAATY. Journal of Systems Science and Systems Engineering. 2004(01)
本文编号：2927021
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