| Description |
1 online resource (xx, 284 pages) : illustrations (chiefly color) |
| Series |
Inventory optimization |
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Inventory optimization
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| Contents |
Markov decision processes of a two-tier supply chain inventory system / R. Sivasamy, Dinesh K. Sharma, Keamogetse Setlhare -- Nature-inspired optimization for inventory models with imperfect production / Neetu Singh, Madhu Jain, Praveendra Singh -- A multi-objective mathematical model for socially responsible supply chain inventory planning / Apoorav Dhingra, Vijaypal Poonia, Rakhee Kulshrestha -- Artificial intelligence computing and nature-inspired optimization techniques for effective supply chain management / Madhu Jain, Dinesh K. Sharma, Nidhi Sharma -- An EPQ model for imperfect production system with deteriorating items, price-dependent demand, rework and lead time under markdown policy / Srabani Shee, Tripti Chakrabarti -- Retrial inventory-queueing model with inspection processes and imperfect production / Palak Mehta, Madhu Jain, Sibasish Dhibar -- Inventory model for growing items and its waste management / Jagannath Biswas, Nirmal Kumar Duari, Tripti Chakrabarti -- Pavement cracks inventory survey with machine deep learning models / Aaron Rasheed Rababaah -- Decarbonisation through production of rhino bricks from the waste plastics: EPQ Model / Nabajyoti Bhattacharjee, Nabendu Sen, Dinesh K. Sharma -- Cost analysis of supply chain model for deteriorating inventory items with shortages in fuzzy environment / S. S. Mishra, S. Rawat, S. K. Yadav, P. P. Mishra -- Multi-echelon inventory planning in supply chain / Shalini Rathore, Madhu Jain, Rakesh Kumar Meena -- Impact of renewable energy on a flexible production system under preorder and online payment discount facility / S. R. Singh, Dipti Singh -- Impact of preservation technology investment and order cost reduction on an inventory model under different carbon emission policies / Dipti Singh, S. R. Singh, Monika Rani -- The impact of corporate credibility on inventory management decisions / Julius A. Alade, Krishn A. Goyal, Teena Mertiya, Sudha Bishnoi, Nidhi Jain -- A Bidirectional neural network dynamic inventory control model for reservoir operation / Mekonnen Redi, Na |
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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 |
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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 |
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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 |
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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 |
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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 |
| Summary |
"This book considers new analytics and AI approaches in the areas of inventory control, logistics, and supply chain management. It provides valuable insights for the retailers and managers to improve business operations and make more realistic and better decisions. It also offers a number of smartly designed strategies related to inventory control and supply chain management for the optimal ordering and delivery policies. The book further uses detailed models and AI computing approaches for demand forecasting to planning optimization and digital execution tracking. One of its key features is use of real-life examples, case studies, practical models to ensure adoption of new solutions, data analytics, and AI-lead automation methodologies are included. The book can be utilized by retailers and managers to improve business operations and make more accurate and realistic decisions. The AI-based solution, agnostic assessment, and strategy will support the companies for better alignment and inventory control and capabilities to create a strategic road map for supply chain and logistics. The book is also useful for postgraduate students, researchers, and corporate executives. It addresses novel solutions for inventory to real-world supply chain and logistics that retailers, practitioners, educators, and scholars will find useful. It provides the theoretical and applicable subject matters for the senior undergraduate and graduate students, researchers, practitioners, and professionals in the area of artificial intelligent computing and its applications in inventory and supply chain management, inventory control, and logistics."-- Provided by publisher |
| Notes |
Online resource; title from PDF title page (SpringerLink, viewed November 22, 2022) |
| Subject |
Business logistics -- Data processing
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Inventory control -- Data processing
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Logística empresarial -- Datos-Tratamiento
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Existencias-Control -- Datos-Tratamiento
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Business logistics -- Data processing
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Inventory control -- Data processing
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| Form |
Electronic book
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| Author |
Sharma, Dinesh K., editor
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Jain, Madhu, 1959- editor.
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| ISBN |
9789811963377 |
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9811963371 |
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