Inventory Optimization – serie

This book provides several inventory models for making the right decision in inventory management under different environments. Basically, the optimal ordering policies are determined for situations with and without shortages in production-inventory systems. The chapters in the book include various features of inventory modeling i.e., inflation, deterioration, supply chain, learning, credit financing, carbon emission policy, stock-dependent demand, among others. The book is a useful resource for academicians, researchers, students, practitioners, and managers who can be benefited with the policies provided in the chapters of the book.

This book provides several inventory models for making the right decision in inventory management under different environments. Basically, the optimal ordering policies are determined for situations with and without shortages in production-inventory systems. The chapters in the book include various features of inventory modeling i.e., inflation, deterioration, supply chain, learning, credit financing, carbon emission policy, stock-dependent demand, among others. The book is a useful resource for academicians, researchers, students, practitioners, and managers who can be benefited with the policies provided in the chapters of the book.

This book presents a collection of mathematical models that deals with the real scenario in the industries. The primary objective of this book is to explore various effective methods for inventory control and management using soft computing techniques. Inventory control and management is a very tedious task faced by all the organizations in any sector of the economy. It makes decisions for policies, activities, and procedures in order to make sure that the right amount of each item is held in stock at any time. Many industries suffer from indiscipline while ordering and production mismatch. It is essential to provide best ordering policy to control such kind of mismatch in the industries. All the mathematical model solutions are provided with the help of various soft computing optimization techniques to determine optimal ordering policy.  This book is beneficial for practitioners, educators, and researchers. It is also helpful for retailers/managers for improving business functions and making more accurate and realistic decisions.

This book presents a collection of mathematical models that deals with the real scenario in the industries. The primary objective of this book is to explore various effective methods for inventory control and management using soft computing techniques. Inventory control and management is a very tedious task faced by all the organizations in any sector of the economy. It makes decisions for policies, activities, and procedures in order to make sure that the right amount of each item is held in stock at any time. Many industries suffer from indiscipline while ordering and production mismatch. It is essential to provide best ordering policy to control such kind of mismatch in the industries. All the mathematical model solutions are provided with the help of various soft computing optimization techniques to determine optimal ordering policy.  This book is beneficial for practitioners, educators, and researchers. It is also helpful for retailers/managers for improving business functions and making more accurate and realistic decisions.

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 betteralignment 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.

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 betteralignment 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.

This book serves as an essential guide for both beginners and advanced learners in the field of inventory control and supply chain management. It meticulously presents the fundamental terminologies, models, and theories necessary for understanding and mastering these subjects. What sets this book apart is its incorporation of modern, updated methods rooted in probability theory and fuzzy logic, offering readers a deeper insight into the complexities of inventory and supply chain issues. Instead of focusing solely on contemporary advancements, this book explores a wide range of inventory and supply chain problems, utilizing fuzzy logic to provide innovative solutions. It thoroughly integrates the latest developments in the field, ensuring readers are equipped with the most current knowledge. Ideal for beginners, professionals, and researchers alike, this book offers a comprehensive, up-to-date resource for tackling inventory and supply chain challenges effectively.

This book provides a general overview of the use of optimisation techniques in decision-making concerning inventory problems, supply chain management, production and manufacturing management, problems related to vendor selection, transportation and logistics, and the use of fuzzy or interval techniques (uncertainty) in the aforementioned areas. It offers helpful guidance on how to decide which strategies to apply in different areas of real-world problems, especially highlighting latest advancements in supply chain management, inventory control, environmental planning, and optimisation. All authors have extensive research experience in practical decision-making scenarios which serves as the foundation for contributing chapters. The book thus assists scientists, upcoming researchers, and businesspeople in understanding optimisation techniques for finding the optimal answer to decision-making problems.

This book provides a general overview of the use of optimisation techniques in decision-making concerning inventory problems, supply chain management, production and manufacturing management, problems related to vendor selection, transportation and logistics, and the use of fuzzy or interval techniques (uncertainty) in the aforementioned areas. It offers helpful guidance on how to decide which strategies to apply in different areas of real-world problems, especially highlighting latest advancements in supply chain management, inventory control, environmental planning, and optimisation. All authors have extensive research experience in practical decision-making scenarios which serves as the foundation for contributing chapters. The book thus assists scientists, upcoming researchers, and businesspeople in understanding optimisation techniques for finding the optimal answer to decision-making problems.

The book provides various research methods and ordering policies for inventory management in the sustainable environment in India. Sustainable inventory management is an area in which more studies from India are needed. In the age where global warming, environmental disasters, and increased public awareness about environmental issues encourage countries to reduce greenhouse gas (GHG) emissions, this book includes a collection of research studies that elaborate various inventory models to determine optimal ordering policy and provide helpful suggestions for reduction in carbon emission while managing inventory. The book is beneficial for practitioners, educators, and researchers in India and other countries. It is also helpful for retailers/managers to improve business functions and make more accurate and realistic decisions.