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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Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: 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. Codice articolo 9786209858116
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Da: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo L2-9786209858116
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Da: California Books, Miami, FL, U.S.A.
Condizione: New. Codice articolo I-9786209858116
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Da: PBShop.store UK, Fairford, GLOS, Regno Unito
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo L2-9786209858116
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 64 pp. Englisch. Codice articolo 9786209858116
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Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: 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. Codice articolo 9786209858116
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Da: KALAMO BOOKS, Burriana, CS, Spagna
Condizione: New. Codice articolo KALAMO-9786209858116
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Da: CitiRetail, Stevenage, Regno Unito
Paperback. Condizione: 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. Codice articolo 9786209858116
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch. Codice articolo 9786209858116
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Da: preigu, Osnabrück, Germania
Taschenbuch. Condizione: 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. Codice articolo 135135273
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