Prelims
The Integrated Application of Effective Approaches in Supply Chain Networks
ISBN: 978-1-83549-631-2, eISBN: 978-1-83549-630-5
Publication date: 4 April 2024
Citation
Rostamkhani, R. and Ramayah, T. (2024), "Prelims", The Integrated Application of Effective Approaches in Supply Chain Networks, Emerald Publishing Limited, Leeds, pp. i-xii. https://doi.org/10.1108/978-1-83549-630-520241009
Publisher
:Emerald Publishing Limited
Copyright © 2024 Ramin Rostamkhani and Thurasamy Ramayah
Half Title Page
THE INTEGRATED APPLICATION OF EFFECTIVE APPROACHES IN SUPPLY CHAIN NETWORKS
Title Page
THE INTEGRATED APPLICATION OF EFFECTIVE APPROACHES IN SUPPLY CHAIN NETWORKS
BY
RAMIN ROSTAMKHANI
Universiti Sains Malaysia, Malaysia
AND
THURASAMY RAMAYAH
Universiti Sains Malaysia, Malaysia
United Kingdom – North America – Japan – India – Malaysia – China
Copyright Page
Emerald Publishing Limited
Emerald Publishing, Floor 5, Northspring, 21-23 Wellington Street, Leeds LS1 4DL.
First edition 2024
Copyright © 2024 Ramin Rostamkhani and Thurasamy Ramayah.
Published under exclusive licence by Emerald Publishing Limited.
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ISBN: 978-1-83549-631-2 (Print)
ISBN: 978-1-83549-630-5 (Online)
ISBN: 978-1-83549-632-9 (Epub)
Contents
| Preface | xi |
| Introduction: A Brief History of the Combination of Different Branches of Science in Supply Chain Networks | 1 |
| The Brief History of the Application of Mathematics in Supply Chain Networks | 1 |
| Probability and Statistics | 2 |
| Linear Algebra | 3 |
| Arithmetic | 3 |
| Mathematical Modeling | 3 |
| Logic and Algorithms | 4 |
| Conclusion | 5 |
| The Brief History of the Application of Operations Research in Supply Chain Network | 5 |
| The Brief History of the Application of Management Concepts in Supply Chain Networks | 6 |
| 1. Mathematical Functions Approach: The Behavior Estimation of Data in Supply Chain Management | 9 |
| 1.1. Introduction | 10 |
| 1.2. Previous Studies in SCM Data | 10 |
| 1.3. Previous Studies in Statistical Distribution Functions | 12 |
| 1.4. A Summary of the Previous Studies | 13 |
| 1.5. Chapter Theoretical Framework | 14 |
| 1.5.1. Chapter Questions | 14 |
| 1.5.2. Chapter Objective | 14 |
| 1.5.3. Chapter Methodology | 15 |
| 1.6. The SCM Components | 15 |
| 1.7. The Popular Statistical Distribution Functions | 16 |
| 1.8. Numerical Applications | 17 |
| 1.8.1. Numerical Application in a Manufacturing Industry | 17 |
| 1.8.2. Numerical Application in a Services Industry | 20 |
| 1.9. The Maximum Likelihood Estimator for the Reliability Functions | 23 |
| 1.10. The Assessment of Results | 24 |
| 1.10.1. The Assessment of Results in the Manufacturing Industry | 25 |
| 1.10.2. The Assessment of Results in the Services Industry | 26 |
| 1.11. Discussion of the Findings | 27 |
| 1.12. Conclusion | 28 |
| Appendix 1: AD Test Results on Manufacturing and Services Under Study Extracted by Minitab Software | 30 |
| Appendix 2: Maximum Likelihood Estimator on Manufacturing and Services Under Study Extracted by Excel Software | 35 |
| Appendix 3: The Best Statistical Distribution Functions on Manufacturing and Services Under Study Extracted by Excel Software | 37 |
| 2. Operations Research Approach: Finding Suitable Techniques in Supply Chain Management | 45 |
| 2.1. Introduction | 46 |
| 2.2. Previous Studies in MLP on Supply Chain Data | 47 |
| 2.3. Previous Studies in QET on Supply Chain Data | 51 |
| 2.4. A Summary of the Previous Studies | 52 |
| 2.5. Chapter Theoretical Framework | 53 |
| 2.5.1. Chapter Questions | 54 |
| 2.5.2. Chapter Objective | 54 |
| 2.5.3. Chapter Methodology | 54 |
| 2.6. Process Analysis Method | 55 |
| 2.7. Multiobjective Linear Programming | 57 |
| 2.8. An Empirical Case Study | 58 |
| 2.8.1. Case Illustrations | 58 |
| 2.9. Discussion and Results | 63 |
| 2.10. Conclusion | 64 |
| 2.10.1. Theoretical Contributions | 65 |
| 2.10.2. Recommendation for Policymakers | 67 |
| Appendix 4: The Definition of the Soft and Hard Classes in MLP | 68 |
| Appendix 5: The Used Questionnaire Related to Find the Suitable Soft and Hard Classes in This Study | 69 |
| Appendix 6: The Best Coefficients of Linear Equations in the SCM Components | 70 |
| Appendix 7: The Maximum Likelihood Values for the Coefficients of Parameters in the Linear Equations | 71 |
| Appendix 8: Questionnaire for the Final Assessment of the Proposed Operations Research Model | 72 |
| 3. Strategic Management Approach: Interaction Between Managers and Engineers in Supply Chain Management | 77 |
| 3.1. Introduction | 77 |
| 3.2. Previous Studies for Lean and Agile Supply Chain Managers’ Performance | 78 |
| 3.3. The Studies on the Relationship Between Quality Engineers and Supply Managers | 80 |
| 3.4. The Role Impact of Managers and Engineers in Today’s Supply Management | 81 |
| 3.5. The Current Gap in Interaction Between Managers and Engineers | 82 |
| 3.6. A Summary of the Previous Studies | 83 |
| 3.7. Chapter Theoretical Framework | 83 |
| 3.7.1. Chapter Questions | 83 |
| 3.7.2. Chapter Objective | 84 |
| 3.7.3. Chapter Methodology | 84 |
| 3.8. The Main Domains of Managers’ Performance in Supply Chain Management | 86 |
| 3.8.1. The Interaction Between Lean Supply Chain Managers and Quality Engineers | 89 |
| 3.8.2. The Interaction Between Agile Supply Chain Managers and Quality Engineers | 89 |
| 3.9. The Classification of Supply Chain Managers in the Three Levels of Processes | 91 |
| 3.10. Studying on High-level Supply Managers’ Views in Interaction with Quality Engineers | 94 |
| 3.11. The Role of Middle Management to Support the Implementation of Supply Chain Management | 94 |
| 3.12. A BSC Model Utilizing FANP | 94 |
| 3.13. Presenting an Approach in the Organizational Capacity Perspective | 100 |
| 3.14. Achieving Productivity and Sustainability as a Result of Interaction | 100 |
| 3.15. Discussion of the Findings | 102 |
| 3.16. Conclusion | 102 |
| Appendix 9: BSC in Lean Supply Chain Management | 104 |
| Appendix 10: BSC in Agile Supply Chain Management | 105 |
| About the Authors | 109 |
Preface
In today’s competitive world, the necessity of gathering information about supply chain networks and analyzing it from different aspects is not hidden from anybody. International managers, organizational experts, and many decision-makers need this information. This book is one of the rarest books on the integrated application of effective approaches in supply chain networks. While many books with a similar theme explain different techniques in supply chain networks separately, this book links extremely effective approaches belonging to different branches of science to supply chain elements in an integrated format. These topics are categorized as follows in this book:
- (1)
In the first chapter, the use of the mathematical functions approach (statistical distribution functions and maximum likelihood estimation) is discussed to explain the behavior of supply chain network data.
- (2)
In the second chapter, the use of operations research (multiobjective linear programming by structural equations and analysis hierarchy process) aims to find suitable quality techniques in supply chain elements.
- (3)
In the third chapter, the use of a strategic management approach (balanced scorecard model and fuzzy analysis network process) describes the interaction between supply chain managers and quality engineers.
Professor Thurasamy Ramayah with more than 30 years of experience in teaching at the School of Management at Universiti Sains Malaysia and other top universities has shared his expertise in information technology and statistical techniques in the book. Ramin Rostamkhani as a Senior Researcher with more than 20 years of experience in industry has also shared his expertise in supply chain management (SCM) and quality engineering techniques in the book. Both authors have written a book about the application of quality engineering techniques in SCM in 2022. That book was related to the application of statistical and non-statistical tools in SCM. This book is a strong supplemental source after that book. In fact, this book can assist professional readers to more deeply understand the role of integration of different techniques in an intelligent approach based on conceptual academic issues in supply chain networks.
It should be noted that in the final part of this book, there is a supplemental chapter. This chapter has a brief history of the formation of the subject. In fact, this chapter is for readers interested in the historical review of the subject.
The integrated application of effective approaches in supply chain networks and related data analysis is the main topic of this book. This book, in addition to expanding the application of different techniques belonging to different branches of science aims to create purposeful coordination and integration for the analysis of supply network data. This achievement, with the distinguished academic and industrial experiences of the authors, can provide the book with an attractive destination, especially for professional readers. The knowledge that reading this book will provide to professional readers, including experts, managers, and graduate students in the field of network data analysis, will enhance creativity more than any other effect.
The integrated combination of applied mathematics (statistical distribution functions) and operations research (multiobjective linear programming) in addition to the analytics hierarchy process along with the basics of strategic management (the balanced scorecard model) and fuzzy analysis network process can be attractive and significant in any branch of science or engineering.
Ramin Rostamkhani – Thurasamy Ramayah
- Prelims
- Introduction: A Brief History of the Combination of Different Branches of Science in Supply Chain Networks
- 1. Mathematical Functions Approach: The Behavior Estimation of Data in Supply Chain Management
- 2. Operations Research Approach: Finding Suitable Techniques in Supply Chain Management
- 3. Strategic Management Approach: Interaction Between Managers and Engineers in Supply Chain Management
- About the Authors