The integrated application of effective approaches in supply chain networks:
Gespeichert in:
Hauptverfasser: | , |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Leeds
Emerald Publishing
2024
|
Ausgabe: | First edition |
Schriftenreihe: | Emerald Points
|
Schlagworte: | |
Online-Zugang: | DE-863 DE-862 DE-2070s DE-945 DE-29 Volltext |
Beschreibung: | 1 Online-Ressource (xii, 109 Seiten) |
ISBN: | 9781835496305 9781835496329 |
DOI: | 10.1108/9781835496305 |
Internformat
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Datensatz im Suchindex
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---|---|
adam_text | |
any_adam_object | |
author | Ramin Rostamkhani Ramayah T. 1964- |
author_GND | (DE-588)1333444486 (DE-588)1025986962 |
author_facet | Ramin Rostamkhani Ramayah T. 1964- |
author_role | aut aut |
author_sort | Ramin Rostamkhani |
author_variant | r r rr r t rt |
building | Verbundindex |
bvnumber | BV049874910 |
collection | ZDB-30-PQE ZDB-55-BME |
contents | Intro -- Halftitle Page -- Title Page -- Copyright Page -- Contents -- Preface -- Introduction: A Brief History of the Combination of Different Branches of Science in -- The Brief History of the Application of Mathematics in Supply Chain Networks -- Probability and Statistics -- Linear Algebra -- Arithmetic -- Mathematical Modeling -- Logic and Algorithms -- Conclusion -- The Brief History of the Application of Operations Research in Supply Chain Networks -- The Brief History of the Application of Management Concepts in Supply Chain Networks -- References -- Chapter 1: Mathematical Functions Approach: The Behavior Estimation of Data in Supply Chain Management -- 1.1. Introduction -- 1.2. Previous Studies in SCM Data -- 1.3. Previous Studies in Statistical Distribution Functions -- 1.4. A Summary of the Previous Studies -- 1.5. Chapter Theoretical Framework -- 1.5.1. Chapter Questions -- 1.5.2. Chapter Objective -- 1.5.3. Chapter Methodology -- 1.6. The SCM Components -- 1.7. The Popular Statistical Distribution Functions -- 1.8. Numerical Applications -- 1.8.1. Numerical Application in a Manufacturing Industry -- 1.8.2. Numerical Application in a Services Industry -- 1.9. The Maximum Likelihood Estimator for the Reliability Functions -- 1.10. The Assessment of Results -- 1.10.1. The Assessment of Results in the Manufacturing Industry -- 1.10.2. The Assessment of Results in the Services Industry -- 1.11. Discussion of the Findings -- 1.12. Conclusion -- Appendix 1: AD Test Results on Manufacturing and Services Under Study Extracted by Minitab Software -- Appendix 2: Maximum Likelihood Estimator on Manufacturing and Services Under Study Extracted by Excel Software -- Appendix 3: The Best Statistical Distribution Functions on Manufacturing and Services Under Study Extracted by Excel Software -- References Chapter 2: Operations Research Approach: Finding Suitable Techniques in Supply Chain Management -- 2.1. Introduction -- 2.2. Previous Studies in MLP on Supply Chain Data -- 2.3. Previous Studies in QET on Supply Chain Data -- 2.4. A Summary of the Previous Studies -- 2.5. Chapter Theoretical Framework -- 2.5.1. Chapter Questions -- 2.5.2. Chapter Objective -- 2.5.3. Chapter Methodology -- 2.6. Process Analysis Method -- 2.7. Multiobjective Linear Programming -- 2.8. An Empirical Case Study -- 2.8.1. Case Illustrations -- 2.9. Discussion and Results -- 2.10. Conclusion -- 2.10.1. Theoretical Contributions -- 2.10.2. Recommendation for Policymakers -- Appendix 4: The Definition of the Soft and Hard Classes in MLP -- Appendix 5: The Used Questionnaire Related to Find the Suitable Soft and Hard Classes in This Study -- Appendix 6: The Best Coefficients of Linear Equations in the SCM Components -- Appendix 7: The Maximum Likelihood Values for the Coefficients of Parameters in the Linear Equations -- Appendix 8: Questionnaire for the Final Assessment of the Proposed Operations Research Model -- References -- Chapter 3: Strategic Management Approach: Interaction Between Managers and Engineers in Supply Chain Management -- 3.1. Introduction -- 3.2. Previous Studies for Lean and Agile Supply Chain Managers' Performance -- 3.3. The Studies on the Relationship Between Quality Engineers and Supply Managers -- 3.4. The Role Impact of Managers and Engineers in Today's Supply Management -- 3.5. The Current Gap in Interaction Between Managers and Engineers -- 3.6. A Summary of the Previous Studies -- 3.7. Chapter Theoretical Framework -- 3.7.1. Chapter Questions -- 3.7.2. Chapter Objective -- 3.7.3. Chapter Methodology -- 3.8. The Main Domains of Managers' Performance in Supply Chain Management 3.8.1. The Interaction Between Lean Supply Chain Managers and Quality Engineers -- 3.8.2. The Interaction Between Agile Supply Chain Managers and Quality Engineers -- 3.9. The Classification of Supply Chain Managers in the Three Levels of Processes -- 3.10. Studying on High-level Supply Managers' Views in Interaction with Quality Engineers -- 3.11. The Role of Middle Management to Support the Implementation of Supply Chain Management -- 3.12. A BSC Model Utilizing FANP -- 3.13. Presenting an Approach in the Organizational Capacity Perspective -- 3.14. Achieving Productivity and Sustainability as a Result of Interaction -- Productivity: -- Sustainability: -- 3.15. Discussion of the Findings -- 3.16. Conclusion -- Appendix 9: BSC in Lean Supply Chain Management -- Appendix 10: BSC in Agile Supply Chain Management -- References -- About the Authors |
ctrlnum | (ZDB-30-PQE)EBC31068111 (ZDB-30-PAD)EBC31068111 (ZDB-89-EBL)EBL31068111 (OCoLC)1427664723 (DE-599)BVBBV049874910 |
dewey-full | 658.7 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 658 - General management |
dewey-raw | 658.7 |
dewey-search | 658.7 |
dewey-sort | 3658.7 |
dewey-tens | 650 - Management and auxiliary services |
discipline | Wirtschaftswissenschaften |
doi_str_mv | 10.1108/9781835496305 |
edition | First edition |
format | Electronic eBook |
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indexdate | 2024-12-28T04:09:26Z |
institution | BVB |
isbn | 9781835496305 9781835496329 |
language | English |
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publisher | Emerald Publishing |
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spellingShingle | Ramin Rostamkhani Ramayah T. 1964- The integrated application of effective approaches in supply chain networks Intro -- Halftitle Page -- Title Page -- Copyright Page -- Contents -- Preface -- Introduction: A Brief History of the Combination of Different Branches of Science in -- The Brief History of the Application of Mathematics in Supply Chain Networks -- Probability and Statistics -- Linear Algebra -- Arithmetic -- Mathematical Modeling -- Logic and Algorithms -- Conclusion -- The Brief History of the Application of Operations Research in Supply Chain Networks -- The Brief History of the Application of Management Concepts in Supply Chain Networks -- References -- Chapter 1: Mathematical Functions Approach: The Behavior Estimation of Data in Supply Chain Management -- 1.1. Introduction -- 1.2. Previous Studies in SCM Data -- 1.3. Previous Studies in Statistical Distribution Functions -- 1.4. A Summary of the Previous Studies -- 1.5. Chapter Theoretical Framework -- 1.5.1. Chapter Questions -- 1.5.2. Chapter Objective -- 1.5.3. Chapter Methodology -- 1.6. The SCM Components -- 1.7. The Popular Statistical Distribution Functions -- 1.8. Numerical Applications -- 1.8.1. Numerical Application in a Manufacturing Industry -- 1.8.2. Numerical Application in a Services Industry -- 1.9. The Maximum Likelihood Estimator for the Reliability Functions -- 1.10. The Assessment of Results -- 1.10.1. The Assessment of Results in the Manufacturing Industry -- 1.10.2. The Assessment of Results in the Services Industry -- 1.11. Discussion of the Findings -- 1.12. Conclusion -- Appendix 1: AD Test Results on Manufacturing and Services Under Study Extracted by Minitab Software -- Appendix 2: Maximum Likelihood Estimator on Manufacturing and Services Under Study Extracted by Excel Software -- Appendix 3: The Best Statistical Distribution Functions on Manufacturing and Services Under Study Extracted by Excel Software -- References Chapter 2: Operations Research Approach: Finding Suitable Techniques in Supply Chain Management -- 2.1. Introduction -- 2.2. Previous Studies in MLP on Supply Chain Data -- 2.3. Previous Studies in QET on Supply Chain Data -- 2.4. A Summary of the Previous Studies -- 2.5. Chapter Theoretical Framework -- 2.5.1. Chapter Questions -- 2.5.2. Chapter Objective -- 2.5.3. Chapter Methodology -- 2.6. Process Analysis Method -- 2.7. Multiobjective Linear Programming -- 2.8. An Empirical Case Study -- 2.8.1. Case Illustrations -- 2.9. Discussion and Results -- 2.10. Conclusion -- 2.10.1. Theoretical Contributions -- 2.10.2. Recommendation for Policymakers -- Appendix 4: The Definition of the Soft and Hard Classes in MLP -- Appendix 5: The Used Questionnaire Related to Find the Suitable Soft and Hard Classes in This Study -- Appendix 6: The Best Coefficients of Linear Equations in the SCM Components -- Appendix 7: The Maximum Likelihood Values for the Coefficients of Parameters in the Linear Equations -- Appendix 8: Questionnaire for the Final Assessment of the Proposed Operations Research Model -- References -- Chapter 3: Strategic Management Approach: Interaction Between Managers and Engineers in Supply Chain Management -- 3.1. Introduction -- 3.2. Previous Studies for Lean and Agile Supply Chain Managers' Performance -- 3.3. The Studies on the Relationship Between Quality Engineers and Supply Managers -- 3.4. The Role Impact of Managers and Engineers in Today's Supply Management -- 3.5. The Current Gap in Interaction Between Managers and Engineers -- 3.6. A Summary of the Previous Studies -- 3.7. Chapter Theoretical Framework -- 3.7.1. Chapter Questions -- 3.7.2. Chapter Objective -- 3.7.3. Chapter Methodology -- 3.8. The Main Domains of Managers' Performance in Supply Chain Management 3.8.1. The Interaction Between Lean Supply Chain Managers and Quality Engineers -- 3.8.2. The Interaction Between Agile Supply Chain Managers and Quality Engineers -- 3.9. The Classification of Supply Chain Managers in the Three Levels of Processes -- 3.10. Studying on High-level Supply Managers' Views in Interaction with Quality Engineers -- 3.11. The Role of Middle Management to Support the Implementation of Supply Chain Management -- 3.12. A BSC Model Utilizing FANP -- 3.13. Presenting an Approach in the Organizational Capacity Perspective -- 3.14. Achieving Productivity and Sustainability as a Result of Interaction -- Productivity: -- Sustainability: -- 3.15. Discussion of the Findings -- 3.16. Conclusion -- Appendix 9: BSC in Lean Supply Chain Management -- Appendix 10: BSC in Agile Supply Chain Management -- References -- About the Authors Business logistics-Case studies Risk management-Case studies Globalization |
title | The integrated application of effective approaches in supply chain networks |
title_auth | The integrated application of effective approaches in supply chain networks |
title_exact_search | The integrated application of effective approaches in supply chain networks |
title_full | The integrated application of effective approaches in supply chain networks by Ramin Rostamkhani (Universiti Sains Malaysia, Malaysia) and Thurasamy Ramayah (Universiti Sains Malaysia, Malaysia) |
title_fullStr | The integrated application of effective approaches in supply chain networks by Ramin Rostamkhani (Universiti Sains Malaysia, Malaysia) and Thurasamy Ramayah (Universiti Sains Malaysia, Malaysia) |
title_full_unstemmed | The integrated application of effective approaches in supply chain networks by Ramin Rostamkhani (Universiti Sains Malaysia, Malaysia) and Thurasamy Ramayah (Universiti Sains Malaysia, Malaysia) |
title_short | The integrated application of effective approaches in supply chain networks |
title_sort | the integrated application of effective approaches in supply chain networks |
topic | Business logistics-Case studies Risk management-Case studies Globalization |
topic_facet | Business logistics-Case studies Risk management-Case studies Globalization |
url | https://doi.org/10.1108/9781835496305 |
work_keys_str_mv | AT raminrostamkhani theintegratedapplicationofeffectiveapproachesinsupplychainnetworks AT ramayaht theintegratedapplicationofeffectiveapproachesinsupplychainnetworks |