<p><span>Supply chain leaders are key to achieving sustainable supply chain excellence and long-term competitive advantage. This book addresses âbig-pictureâ supply chain leadership and provides a roadmap and practical advice to help supply chain leaders to successfully navigate this challenging soc
A Quality Engineering Techniques Approach to Supply Chain Management
â Scribed by Ramin Rostamkhani, Thurasamy Ramayah
- Publisher
- Springer
- Year
- 2022
- Tongue
- English
- Leaves
- 189
- Edition
- 1st ed. 2023
- Category
- Library
No coin nor oath required. For personal study only.
⌠Synopsis
This book combines, for the first time, the operations management and operations research concepts in lean and agile supply chain management (SCM) for achieving decreased uncertainty, increased productivity, and sustainability through the use of quality engineering techniques (QETs).
The book serves as a beneficial supplementary read for supply chain management and logistics courses in operations management/operations research for industrial engineering or management departments as the book uses practical examples of QET applications in SCM in a variety of industries, such as manufacturing, international shipping, and services.
By reading this book, a wide range of audiences from general readers to students in industrial engineering or management fields will learn practical skills that can be utilized in the application of quality engineering techniques in lean and agile SCM.
⌠Table of Contents
Preface
Contents
About the Authors
List of Figures
List of Tables
1 A Review of the Basic Concepts
1.1 Introduction
1.2 Lean and Agile Supply Chain Management
1.2.1 Lean Supply Chain Management
1.2.2 Agile Supply Chain Management
1.2.3 Lean-Agile Supply Chain Management
1.3 Operations Management Applications in Supply Chain Management
1.4 Operations Research Applications in Supply Chain Management
1.5 Relationships Between Quality Engineering Techniques and SCM
1.6 Triple Main Goals Including Uncertainty, Productivity and Sustainability
1.6.1 Uncertainty Role in Supply Chain Management
1.6.2 Productivity Role in Supply Chain Management
1.6.3 Sustainability Role in Supply Chain Management
1.7 Advanced Models in Lean and Agile SCM
1.8 Research Frame in This Book
References
2 Applied Methodology in the Research
2.1 Introduction
2.2 Research Limitation
2.3 Statistical Population of the Research
2.4 Samples Specifications in the Manufacturing Sections
2.5 Samples Specifications in the Services Sections
2.6 Data Collection Tools and Method
2.7 Data Collection Validity
2.8 Data Collection Reliability
2.9 Information Analysis Method
Reference
3 Proposed Approach with the Comprehensive Details
3.1 Introduction
3.2 Obtained Findings in the Form of Two Main Matrices
3.2.1 Manufacturing Matrices
3.2.2 Services Matrices
3.3 Data Analyzing and Finding the Best QET for SCM Components
3.3.1 QET Applications in the Manufacturing Sections
3.3.2 QET Applications in the Services Sections
3.4 Finding the Best Solution in Lean SCM (Maximized Productivity-Efficiency)
3.4.1 Numerical Applications in the Manufacturing Industries
3.4.2 Numerical Applications in the Services Sections
3.5 Finding the Best Status in Agile SCM (Maximized Productivity-Effectiveness)
3.5.1 Descriptive Applications in the Manufacturing Industries
3.5.2 Descriptive Applications in the Services Sections
3.6 Maximized Sustainability
3.7 Minimized Uncertainty
3.8 Discussion of the Research Outcome in the Obtained Results
References
4 Results of Implementing the Approach in the Organization
4.1 Introduction
4.2 Conclusion of the Study and Presenting the Final Approach (Model)
4.2.1 Presenting the Final Approach (Model) in the Manufacturing Sections
4.2.2 Presenting the Final Approach (Model) in the Services Sections
4.3 Reliability and Validity of the Research Findings
4.3.1 Calculations in Reliability and Validity of the Proposed Approach (Model)
4.4 Cpmk in the Management of the Main Goals (Research Outcome)
4.4.1 Cpmk in Uncertainty Management Process (Mean Value of Uncertainty Data)
4.4.2 Cpmk in Productivity Management Process (Mean Value of Productivity Data)
4.4.3 Cpmk in Sustainability Management Process (Mean Value of Sustainability Data)
4.4.4 Cpmk Before and After the Implementation of the Approach (Model)
4.5 Discussion of the Findings from a Total Perspective
5 The Perspective of Quality Engineering Techniques in Supply Chain Management Future
5.1 Introduction
5.2 Recommendation for Future Research
5.2.1 Suggested Framework
5.3 The Role of QET in the Relationship Between QM and SCM
5.4 The Role of QET in the Assessment of CSFs for Improving SCQM
5.5 The Role of QET in Circular Supply Chain Management
5.6 The Role of QET in Digitalization of Supply Chain Management
5.7 Summarizing the Role of QET in Supply Chain Management Future
5.8 A Perspective of QET in Fuzzy Techniques for Advanced Analyzing of SCM
5.8.1 Applications
5.8.2 Future Directions
References
Appendix A [Part One + Part Two (Questionnaire 1)]
Part One
Part Two (Questionnaire 1)
Appendix B (Value Engineering Application)
Appendix C (Quality Function Deployment Application)
Appendix D [University Professorsâ Views (Questionnaire 2)]
Answers to Exercises
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