This book offers an introduction to various models and methods for green supplier evaluation and selection (GSES) within different information settings. As such, it provides valuable knowledge, useful GSES methods and practical examples that can be considered by manufacturers in selecting appropriate green suppliers to improve their environmental performance and customer satisfaction. This book is useful for practitioners and researchers working in the fields of supply chain management, operation management, information science, industrial engineering, and management science. It is also useful as a textbook for postgraduate and senior undergraduate students.
Erscheinungsdatum: 23.03.2021

lgrsnf/1230.pdf

scihub/10.1007/978-981-16-0382-2.pdf

Liu, Hu-Chen; You, Xiao-Yue

Hu-Chen Liu, Xiao-Yue You

Springer Nature Singapore Pte Ltd Fka Springer Science + Business Media Singapore Pte Ltd

Springer Nature, Singapore, 2021

Singapore, Singapore

3, 20210322

S.l, 2021

Foreword
Preface
Contents
Abbreviations
List of Figures
List of Tables
1 Green Supply Chain Management
1.1 Supply Chain
1.2 Supply Chain Management
1.3 Green Supply Chain Management
1.4 Chapter Summary
References
2 Green Supplier Evaluation and Selection: A Literature Review
2.1 Introduction
2.2 Research Methodology
2.3 GSES Methods
2.3.1 Distance-Based Methods
2.3.2 Compromise Methods
2.3.3 Outranking Methods
2.3.4 Pairwise Comparison Methods
2.3.5 Mathematical Programming Methods
2.3.6 Value and Utility Methods
2.3.7 Aggregation Operator-Based Methods
2.3.8 Combined Supplier Selection Methods
2.3.9 Other Supplier Selection Methods
2.3.10 Supplier Selection and Order Allocation Methods
2.4 Findings and Discussions
2.4.1 Green Evaluation Criteria
2.4.2 Criteria Weighting Methods
2.4.3 Green Supplier Evaluation Methods
2.4.4 Bibliometric Analysis
2.5 Future Research Recommendations
2.6 Chapter Summary
References
3 GSES Based on Intuitionistic Fuzzy VIKOR Method
3.1 Introduction
3.2 Preliminaries
3.2.1 Intuitionistic Fuzzy Sets
3.2.2 Objective Weighting Method
3.3 The Proposed GSES Method
3.4 Illustrative Examples
3.4.1 Supplier Selection for a General Hospital
3.4.2 Supplier Selection for a Car Manufacturer
3.5 Chapter Summary
References
4 GSES Based on Picture Fuzzy VIKOR Method
4.1 Introduction
4.2 Preliminaries
4.2.1 Picture Fuzzy Sets
4.2.2 The OWAD Operator
4.3 Picture Fuzzy Distance Operators
4.3.1 The PFOWSD Operator
4.3.2 The PFEOWSD Operator
4.3.3 The HPFOWSD Operator
4.3.4 The HPFEOWSD Operator
4.4 The Proposed GSES Approach
4.5 Case Study
4.5.1 Background Description
4.5.2 Implementation Results
4.5.3 Comparative Analysis
4.5.4 Managerial Implications
4.6 Chapter Summary
References
5 GSES Using Interval 2-Tuple Linguistic Distance Operators
5.1 Introduction
5.2 Preliminaries
5.2.1 2-Tuple Linguistic Variables
5.2.2 Interval 2-Tuple Linguistic Variables
5.3 Interval 2-Tuple Linguistic Distance Operators
5.3.1 Interval 2-Tuple Linguistic Distance Operators
5.3.2 Generalizations of the ITOWD Operator
5.4 The Proposed GSES Method
5.5 An Illustrative Example
5.5.1 Example Illustration
5.5.2 Comparative Discussion
5.6 Chapter Summary
References
6 GSES Using Interval 2-Tuple Linguistic VIKOR Method
6.1 Introduction
6.2 Preliminary
6.3 The Proposed GSES Method
6.4 Illustrative Examples
6.4.1 Example 1
6.4.2 Example 2
6.5 Chapter Summary
References
7 GSES with Interval-Valued Intuitionistic Uncertain Linguistic AQM
7.1 Introduction
7.2 Preliminaries
7.2.1 Interval-Valued Intuitionistic Uncertain Linguistic Sets
7.2.2 Precedence Relationship Between Alternatives
7.3 The Proposed GSES Model
7.3.1 The IVIUL-BWM for Computing Criteria Weights
7.3.2 The IVIUL-AQM for Ranking Alternative Suppliers
7.4 Case Study
7.4.1 Calculating the Criteria Weights
7.4.2 Determining the Ranking of Green Suppliers
7.4.3 Comparisons Analysis
7.5 Chapter Summary
References
8 GSES with Interval-Valued Intuitionistic Uncertain Linguistic GRA-TOPSIS
8.1 Introduction
8.2 Literature Review
8.3 Preliminary
8.4 The Proposed GSES Approach
8.5 Case Illustration
8.5.1 Implementation
8.5.2 Comparison and Discussion
8.6 Chapter Summary
References
9 GSES with Large Group Uncertain Linguistic MULTIMOORA Method
9.1 Introduction
9.2 Preliminaries
9.3 The Proposed GSES Model
9.3.1 Cluster Decision Makers
9.3.2 Aggregate Clusters
9.3.3 Calculate the Weights of Criteria
9.3.4 Rank the Alternative Suppliers
9.4 Case Study
9.4.1 Implementation
9.4.2 Comparison and Discussion
9.5 Chapter Summary
References
10 GSES with Cloud Model Theory and QUALIFLEX Method
10.1 Introduction
10.2 Preliminaries
10.2.1 Cloud Model Theory
10.2.2 Laplace Distribution-Based Method
10.3 The Proposed GSES Methodology
10.3.1 Assess the Performance of Green Suppliers
10.3.2 Compute the Weights of Evaluation Criteria
10.3.3 Determine the Ranking of Alternatives
10.4 Illustrative Example
10.4.1 Background Description
10.4.2 Application and Results
10.4.3 Discussion Under Incomplete Weight Information
10.4.4 Comparative Study
10.5 Chapter Summary
References
11 GSES with Heterogeneous Information and MABAC Method
11.1 Introduction
11.2 Preliminaries
11.3 The Proposed GSES Model
11.4 Case Study
11.4.1 Implementation
11.4.2 Comparisons and Discussion
11.5 Managerial Implications
11.6 Chapter Summary
References
12 GSSOA Using Double Hierarchy Hesitant Linguistic Sets and Decision Field Theory
12.1 Introduction
12.2 Preliminaries
12.3 The Developed GSSOA Model
12.4 Case Study
12.4.1 Illustration of the Proposed Model
12.4.2 Comparison and Discussion
12.5 Chapter Summary
References
13 GSSOA Using Linguistic Z-Numbers and AQM
13.1 Introduction
13.2 Preliminaries
13.3 The Proposed GSSOA Model
13.3.1 Suppliers Selection
13.3.2 Order Allocation
13.4 Case Study
13.4.1 Problem Description
13.4.2 Model Implementation
13.4.3 Comparisons and Discussions
13.5 Chapter Summary
References
Appendix A Data Extracted from the Reviewed Studies
Appendix B Green Evaluation Criteria Used in the Reviewed Studies

2021-10-10