Prelims

Ramin Rostamkhani (Universiti Sains Malaysia, Malaysia)
Thurasamy Ramayah (Universiti Sains Malaysia, Malaysia)

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

 Ramin Rostamkhani – Thurasamy Ramayah

Ramin Rostamkhani – Thurasamy Ramayah

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