The scope of this book spans three chapters, each building systematically upon its predecessors. Chapter 1 establishes the classical foundations of inventory theory, reviewing deterministic and stochastic models that have defined the field for decades. Chapter 2 introduces the fundamental concepts of artificial intelligence and machine learning as they pertain to operations research, providing the technical vocabulary necessary for the chapters that follow. Chapter 3 examines fuzzy logic and soft computing approaches to inventory optimization under uncertainty, demonstrating how imprecise and linguistic information can be formally incorporated into decision models. We trust that this book will serve as a useful contribution to the growing body of literature at the nexus of artificial intelligence and operations management, and that it will inspire further research into the many open problems that remain in this domain.
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Dr. Animesh Kumar Sharma is working as an Assistant Professor in the Department of Mathematics, Faculty of Science, The ICFAI University Raipur, Chhattisgarh. As a distinguished scholar in mathematics, he has made significant contributions to academia through extensive research, teaching, and publication. He has published 35 research articles.
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Paperback. Zustand: new. Paperback. The scope of this book spans three chapters, each building systematically upon its predecessors. Chapter 1 establishes the classical foundations of inventory theory, reviewing deterministic and stochastic models that have defined the field for decades. Chapter 2 introduces the fundamental concepts of artificial intelligence and machine learning as they pertain to operations research, providing the technical vocabulary necessary for the chapters that follow. Chapter 3 examines fuzzy logic and soft computing approaches to inventory optimization under uncertainty, demonstrating how imprecise and linguistic information can be formally incorporated into decision models. We trust that this book will serve as a useful contribution to the growing body of literature at the nexus of artificial intelligence and operations management, and that it will inspire further research into the many open problems that remain in this domain. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9786209858116
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The scope of this book spans three chapters, each building systematically upon its predecessors. Chapter 1 establishes the classical foundations of inventory theory, reviewing deterministic and stochastic models that have defined the field for decades. Chapter 2 introduces the fundamental concepts of artificial intelligence and machine learning as they pertain to operations research, providing the technical vocabulary necessary for the chapters that follow. Chapter 3 examines fuzzy logic and soft computing approaches to inventory optimization under uncertainty, demonstrating how imprecise and linguistic information can be formally incorporated into decision models. We trust that this book will serve as a useful contribution to the growing body of literature at the nexus of artificial intelligence and operations management, and that it will inspire further research into the many open problems that remain in this domain. Bestandsnummer des Verkäufers 9786209858116
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Paperback. Zustand: new. Paperback. The scope of this book spans three chapters, each building systematically upon its predecessors. Chapter 1 establishes the classical foundations of inventory theory, reviewing deterministic and stochastic models that have defined the field for decades. Chapter 2 introduces the fundamental concepts of artificial intelligence and machine learning as they pertain to operations research, providing the technical vocabulary necessary for the chapters that follow. Chapter 3 examines fuzzy logic and soft computing approaches to inventory optimization under uncertainty, demonstrating how imprecise and linguistic information can be formally incorporated into decision models. We trust that this book will serve as a useful contribution to the growing body of literature at the nexus of artificial intelligence and operations management, and that it will inspire further research into the many open problems that remain in this domain. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9786209858116
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Taschenbuch. Zustand: Neu. Artificial Intelligence Powered Optimization in Inventory Systems | Comprehensive Study of AI-Driven Approaches | Animesh Kumar Sharma | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786209858116 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 135135273
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