A Novel Hybrid Multi-Criteria Decision-Making Model for Gree
發(fā)布時(shí)間：2020-12-20 02:21
采掘業(yè)尤其是礦業(yè)作為國(guó)家重要的財(cái)政收入來源之一,對(duì)許多發(fā)展中國(guó)家的經(jīng)濟(jì)至關(guān)重要。然而,當(dāng)前采礦業(yè)供應(yīng)鏈作業(yè)造成了嚴(yán)重的環(huán)境和社會(huì)問題,并帶來了嚴(yán)重經(jīng)濟(jì)后果。因此,有必要采用戰(zhàn)略性和有效的方式,通過擴(kuò)展供應(yīng)鏈等組織實(shí)踐措施來應(yīng)對(duì)上述問題。在采礦業(yè)實(shí)施綠色供應(yīng)鏈?zhǔn)且粋�(gè)重要且行之有效的戰(zhàn)略途徑,但綠色供應(yīng)鏈的影響因素及其在礦業(yè)戰(zhàn)略和運(yùn)營(yíng)方面的作用尚未完全凸顯。開發(fā)、評(píng)估、評(píng)價(jià)和選擇必要的綠色供應(yīng)鏈管理(GSCM)因素是成功實(shí)施綠色供應(yīng)鏈管理的目標(biāo)之一,但這些因素之間可能存在相互關(guān)聯(lián)的復(fù)雜關(guān)系。因此,理解這些因素及它們的相對(duì)重要性,是在采礦業(yè)成功實(shí)施綠色供應(yīng)鏈管理的首要步驟。本文的研究目標(biāo)如下：(1)構(gòu)建考慮環(huán)境可持續(xù)發(fā)展的綠色供應(yīng)鏈決策框架(因素及指標(biāo)),以提高采礦業(yè)的效率和環(huán)境管理能力；(2)提出一種新型的集成多準(zhǔn)則決策工具,定量研究綠色供應(yīng)鏈管理程序化在采礦和其他行業(yè)中的發(fā)展；(3)如何應(yīng)用該決策工具來解決采礦業(yè)綠色供應(yīng)鏈管理問題。為實(shí)現(xiàn)以上目標(biāo)并填補(bǔ)研究空缺,本文在已有文獻(xiàn)基礎(chǔ)上,從多元化理論角度確定綠色供應(yīng)鏈管理的影響因素,幫助礦業(yè)公司具備處理環(huán)境影響的能力,實(shí)現(xiàn)可持續(xù)發(fā)展。為識(shí)別潛...
【文章來源】：大連理工大學(xué)遼寧省 211工程院校 985工程院校 教育部直屬院校
【文章頁數(shù)】：224 頁
【學(xué)位級(jí)別】：博士
【文章目錄】：
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
【參考文獻(xiàn)】：
期刊論文
[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)
本文編號(hào)：2927021
【文章來源】：大連理工大學(xué)遼寧省 211工程院校 985工程院校 教育部直屬院校
【文章頁數(shù)】：224 頁
【學(xué)位級(jí)別】：博士
【文章目錄】：
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
【參考文獻(xiàn)】：
期刊論文
[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)
本文編號(hào)：2927021
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