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Table of Contents
Intro
Foreword
Preface
Acknowledgements
About This Book
Contents
Editors and Contributors
1 Markov Decision Processes of a Two-Tier Supply Chain Inventory System
1.1 Markov Decision Processes of a Supply Chain
1.2 M/M1 + M2/1 /K-Rule/f1-policy Queues + Inventory Model with Backorders
1.2.1 The Stable M/M1 + M/1 /K-rule/f1-policy Model
1.3 Performance Measures for the Inventory-Queueing System
1.4 Results for the SCM Attached to M/M/1 Queues with Zero Lead Time
1.5 SCM Attached M/M1 + M2/1/K-rule/f2-Policy with Dissatisfied Customers
1.5.1 Optimum Order Quantity "Q*"
1.6 Conclusion
References
2 Nature-Inspired Optimization for Inventory Models with Imperfect Production
2.1 Introduction
2.2 An Imperfect Production Inventory Model
2.3 Inventory Production Systems with Process Reliability
2.4 Nature-Inspired Optimization at a Glance
2.5 Important Contributions on Nature-Inspired Optimization for Inventory Control
2.6 Economic Production Quantity (EPQ) Models and NIO Algorithms
2.7 Conclusions
References
3 A Multi-objective Mathematical Model for Socially Responsible Supply Chain Inventory Planning
3.1 Introduction
3.2 Literature Survey
3.3 Assumptions and Notation
3.4 Multi-objective Model
3.4.1 Objective Functions
3.4.2 Constraints Sets
3.5 Solution Methodology and Result
3.6 Conclusions
References
4 Artificial Intelligence Computing and Nature-Inspired Optimization Techniques for Effective Supply Chain Management
4.1 Introduction
4.2 Basic Concepts of AI
4.2.1 Categorization of AI
4.3 Nature-Inspired Optimization (NIO)
4.4 Supply Chain Management
4.4.1 Two Echelon Supply Chain Inventory Model
4.5 Role of AI and NIO Algorithm in SCM
4.5.1 Artificial Neural Network
4.5.2 Adaptive Neuro-Fuzzy Inference System (ANFIS)
4.5.3 Inventory Control and Planning
4.5.4 Transportation Network Design
4.5.5 Purchasing and Supply Management
4.5.6 e-Synchronized SCM
4.6 Adapted Model Related to Operational Decisions in Supply Chain (SC) Network
4.7 Literature Survey on AI, NIO, and Supply Chain Management (SCM)
4.8 Research Directions for the Future and Closing Remarks
References
5 An EPQ Model for Imperfect Production System with Deteriorating Items, Price-Dependent Demand, Rework and Lead Time Under Markdown Policy
5.1 Introduction
5.2 Literature Survey
5.3 Assumptions and Notations
5.3.1 Notations
5.3.2 Assumptions
5.4 Mathematical Model
5.5 Numerical Illustration
5.6 Conclusions
References
6 Retrial Inventory-Queueing Model with Inspection Processes and Imperfect Production
6.1 Introduction
6.2 Model Description
6.3 Joint Probability Distributions
6.3.1 Governing Equations
Foreword
Preface
Acknowledgements
About This Book
Contents
Editors and Contributors
1 Markov Decision Processes of a Two-Tier Supply Chain Inventory System
1.1 Markov Decision Processes of a Supply Chain
1.2 M/M1 + M2/1 /K-Rule/f1-policy Queues + Inventory Model with Backorders
1.2.1 The Stable M/M1 + M/1 /K-rule/f1-policy Model
1.3 Performance Measures for the Inventory-Queueing System
1.4 Results for the SCM Attached to M/M/1 Queues with Zero Lead Time
1.5 SCM Attached M/M1 + M2/1/K-rule/f2-Policy with Dissatisfied Customers
1.5.1 Optimum Order Quantity "Q*"
1.6 Conclusion
References
2 Nature-Inspired Optimization for Inventory Models with Imperfect Production
2.1 Introduction
2.2 An Imperfect Production Inventory Model
2.3 Inventory Production Systems with Process Reliability
2.4 Nature-Inspired Optimization at a Glance
2.5 Important Contributions on Nature-Inspired Optimization for Inventory Control
2.6 Economic Production Quantity (EPQ) Models and NIO Algorithms
2.7 Conclusions
References
3 A Multi-objective Mathematical Model for Socially Responsible Supply Chain Inventory Planning
3.1 Introduction
3.2 Literature Survey
3.3 Assumptions and Notation
3.4 Multi-objective Model
3.4.1 Objective Functions
3.4.2 Constraints Sets
3.5 Solution Methodology and Result
3.6 Conclusions
References
4 Artificial Intelligence Computing and Nature-Inspired Optimization Techniques for Effective Supply Chain Management
4.1 Introduction
4.2 Basic Concepts of AI
4.2.1 Categorization of AI
4.3 Nature-Inspired Optimization (NIO)
4.4 Supply Chain Management
4.4.1 Two Echelon Supply Chain Inventory Model
4.5 Role of AI and NIO Algorithm in SCM
4.5.1 Artificial Neural Network
4.5.2 Adaptive Neuro-Fuzzy Inference System (ANFIS)
4.5.3 Inventory Control and Planning
4.5.4 Transportation Network Design
4.5.5 Purchasing and Supply Management
4.5.6 e-Synchronized SCM
4.6 Adapted Model Related to Operational Decisions in Supply Chain (SC) Network
4.7 Literature Survey on AI, NIO, and Supply Chain Management (SCM)
4.8 Research Directions for the Future and Closing Remarks
References
5 An EPQ Model for Imperfect Production System with Deteriorating Items, Price-Dependent Demand, Rework and Lead Time Under Markdown Policy
5.1 Introduction
5.2 Literature Survey
5.3 Assumptions and Notations
5.3.1 Notations
5.3.2 Assumptions
5.4 Mathematical Model
5.5 Numerical Illustration
5.6 Conclusions
References
6 Retrial Inventory-Queueing Model with Inspection Processes and Imperfect Production
6.1 Introduction
6.2 Model Description
6.3 Joint Probability Distributions
6.3.1 Governing Equations