The Integrated Application of Effective Approaches in Supply Chain Networks

Expanding the application of diverse techniques belonging to different branches of science, The Integrated Application of Effective Approaches in Supply Chain Networks creates coordination and integration for the analysis of supply network data.

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.