Data driven innovation supply chains (27 résultats)

Etat : New.

Etat : New.

Paperback. Etat : New. This book explores how modern technologies-especially data analytics, machine learning (ML), and the Internet of Things (IoT)-are transforming supply chain and manufacturing operations. Bridging academic research and industrial practice, this book presents data as a strategic asset driving agility, efficiency, and resilience.Structured around four themes, it covers:Foundational analytics and optimizationPredictive and prescriptive analytics for proactive decision-makingReal-time IoT data for workflow monitoring and controlDigital Twins and Natural Language Processing (NLP) for modeling and interactionChapters include mathematical modeling, case studies, and implementation frameworks, with coverage spanning stochastic forecasting, reinforcement learning, anomaly detection, and semantic parsing of logistics documentation.Key benefits include its emphasis on integrated intelligence-blending ML, IoT, and simulation for real-time, predictive insights. It also highlights scalability across industries, with tools adaptable to sectors like automotive, healthcare, and aerospace. Each chapter concludes with open problems and future directions, offering a roadmap for innovation in intelligent operations.…

Paperback. Etat : New. This book explores how modern technologies-especially data analytics, machine learning (ML), and the Internet of Things (IoT)-are transforming supply chain and manufacturing operations. Bridging academic research and industrial practice, this book presents data as a strategic asset driving agility, efficiency, and resilience.Structured around four themes, it covers:Foundational analytics and optimizationPredictive and prescriptive analytics for proactive decision-makingReal-time IoT data for workflow monitoring and controlDigital Twins and Natural Language Processing (NLP) for modeling and interactionChapters include mathematical modeling, case studies, and implementation frameworks, with coverage spanning stochastic forecasting, reinforcement learning, anomaly detection, and semantic parsing of logistics documentation.Key benefits include its emphasis on integrated intelligence-blending ML, IoT, and simulation for real-time, predictive insights. It also highlights scalability across industries, with tools adaptable to sectors like automotive, healthcare, and aerospace. Each chapter concludes with open problems and future directions, offering a roadmap for innovation in intelligent operations.…

Etat : New.

Etat : New.

Paperback. Etat : Brand New. 10.00x7.00 inches. In Stock.

Etat : NEW.

Taschenbuch. Etat : Neu. Neuware - This book explores how modern technologies-especially data analytics, machine learning (ML), and the Internet of Things (IoT)-are transforming supply chain and manufacturing operations. Bridging academic research and industrial practice, this book presents data as a strategic asset driving agility, efficiency, and resilience.Structured around four themes, it covers: - Foundational analytics and optimization - Predictive and prescriptive analytics for proactive decision¿making - Real¿time IoT data for workflow monitoring and control - Digital Twins and Natural Language Processing (NLP) for modeling and interaction Chapters include mathematical modeling, case studies, and implementation frameworks, with coverage spanning stochastic forecasting, reinforcement learning, anomaly detection, and semantic parsing of logistics documentation.Key benefits include its emphasis on integrated intelligence-blending ML, IoT, and simulation for real¿time, predictive insights. It also highlights scalability across industries, with tools adaptable to sectors like automotive, healthcare, and aerospace. Each chapter concludes with open problems and future directions, offering a roadmap for innovation in intelligent operations.…

Paperback. Etat : new. Paperback. This book explores how modern technologiesespecially data analytics, machine learning (ML), and the Internet of Things (IoT)are transforming supply chain and manufacturing operations. Bridging academic research and industrial practice, this book presents data as a strategic asset driving agility, efficiency, and resilience.Structured around four themes, it covers:Foundational analytics and optimizationPredictive and prescriptive analytics for proactive decisionmakingRealtime IoT data for workflow monitoring and controlDigital Twins and Natural Language Processing (NLP) for modeling and interactionChapters include mathematical modeling, case studies, and implementation frameworks, with coverage spanning stochastic forecasting, reinforcement learning, anomaly detection, and semantic parsing of logistics documentation.Key benefits include its emphasis on integrated intelligenceblending ML, IoT, and simulation for realtime, predictive insights. It also highlights scalability across industries, with tools adaptable to sectors like automotive, healthcare, and aerospace. Each chapter concludes with open problems and future directions, offering a roadmap for innovation in intelligent operations. This book explores how modern technologiesespecially data analytics, machine learning (ML), and the Internet of Things (IoT)are transforming supply chain and manufacturing operations. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Etat : New. Parth Saxena is a lead software engineer, leading innovation in investment banking technology at a global financial institution. He has spearheaded large-scale digital transformation initiatives across financial services, utilities, energy, and te.

Paperback. Etat : New. This book explores how modern technologies-especially data analytics, machine learning (ML), and the Internet of Things (IoT)-are transforming supply chain and manufacturing operations. Bridging academic research and industrial practice, this book presents data as a strategic asset driving agility, efficiency, and resilience.Structured around four themes, it covers:Foundational analytics and optimizationPredictive and prescriptive analytics for proactive decision-makingReal-time IoT data for workflow monitoring and controlDigital Twins and Natural Language Processing (NLP) for modeling and interactionChapters include mathematical modeling, case studies, and implementation frameworks, with coverage spanning stochastic forecasting, reinforcement learning, anomaly detection, and semantic parsing of logistics documentation.Key benefits include its emphasis on integrated intelligence-blending ML, IoT, and simulation for real-time, predictive insights. It also highlights scalability across industries, with tools adaptable to sectors like automotive, healthcare, and aerospace. Each chapter concludes with open problems and future directions, offering a roadmap for innovation in intelligent operations.…

Taschenbuch. Etat : Neu. Data-Driven Innovation in Supply Chains and Manufacturing | From Predictive Analytics to Natural Language Processing | Nipun Joshi (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2026 | Taylor & Francis Ltd | EAN 9781041209225 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.…

Paperback. Etat : New. This book explores how modern technologies-especially data analytics, machine learning (ML), and the Internet of Things (IoT)-are transforming supply chain and manufacturing operations. Bridging academic research and industrial practice, this book presents data as a strategic asset driving agility, efficiency, and resilience.Structured around four themes, it covers:Foundational analytics and optimizationPredictive and prescriptive analytics for proactive decision-makingReal-time IoT data for workflow monitoring and controlDigital Twins and Natural Language Processing (NLP) for modeling and interactionChapters include mathematical modeling, case studies, and implementation frameworks, with coverage spanning stochastic forecasting, reinforcement learning, anomaly detection, and semantic parsing of logistics documentation.Key benefits include its emphasis on integrated intelligence-blending ML, IoT, and simulation for real-time, predictive insights. It also highlights scalability across industries, with tools adaptable to sectors like automotive, healthcare, and aerospace. Each chapter concludes with open problems and future directions, offering a roadmap for innovation in intelligent operations.…

Etat : New.

HRD. Etat : New. New Book. Shipped from UK. Established seller since 2000.

Etat : New.

HRD. Etat : New. New Book. Shipped from UK. Established seller since 2000.

Etat : New.

Etat : New.

Etat : New. Parth Saxena is a lead software engineer, leading innovation in investment banking technology at a global financial institution. He has spearheaded large-scale digital transformation initiatives across financial services, utilities, energy, and te.

Buch. Etat : Neu. Neuware - This book explores how modern technologies-especially data analytics, machine learning (ML), and the Internet of Things (IoT)-are transforming supply chain and manufacturing operations. Bridging academic research and industrial practice, this book presents data as a strategic asset driving agility, efficiency, and resilience.Structured around four themes, it covers: - Foundational analytics and optimization - Predictive and prescriptive analytics for proactive decision¿making - Real¿time IoT data for workflow monitoring and control - Digital Twins and Natural Language Processing (NLP) for modeling and interaction Chapters include mathematical modeling, case studies, and implementation frameworks, with coverage spanning stochastic forecasting, reinforcement learning, anomaly detection, and semantic parsing of logistics documentation.Key benefits include its emphasis on integrated intelligence-blending ML, IoT, and simulation for real¿time, predictive insights. It also highlights scalability across industries, with tools adaptable to sectors like automotive, healthcare, and aerospace. Each chapter concludes with open problems and future directions, offering a roadmap for innovation in intelligent operations.…

Paperback. Etat : new. Paperback. This book explores how modern technologiesespecially data analytics, machine learning (ML), and the Internet of Things (IoT)are transforming supply chain and manufacturing operations. Bridging academic research and industrial practice, this book presents data as a strategic asset driving agility, efficiency, and resilience.Structured around four themes, it covers:Foundational analytics and optimizationPredictive and prescriptive analytics for proactive decisionmakingRealtime IoT data for workflow monitoring and controlDigital Twins and Natural Language Processing (NLP) for modeling and interactionChapters include mathematical modeling, case studies, and implementation frameworks, with coverage spanning stochastic forecasting, reinforcement learning, anomaly detection, and semantic parsing of logistics documentation.Key benefits include its emphasis on integrated intelligenceblending ML, IoT, and simulation for realtime, predictive insights. It also highlights scalability across industries, with tools adaptable to sectors like automotive, healthcare, and aerospace. Each chapter concludes with open problems and future directions, offering a roadmap for innovation in intelligent operations. This book explores how modern technologiesespecially data analytics, machine learning (ML), and the Internet of Things (IoT)are transforming supply chain and manufacturing operations. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Etat : new. Paperback. This book explores how modern technologiesespecially data analytics, machine learning (ML), and the Internet of Things (IoT)are transforming supply chain and manufacturing operations. Bridging academic research and industrial practice, this book presents data as a strategic asset driving agility, efficiency, and resilience.Structured around four themes, it covers:Foundational analytics and optimizationPredictive and prescriptive analytics for proactive decisionmakingRealtime IoT data for workflow monitoring and controlDigital Twins and Natural Language Processing (NLP) for modeling and interactionChapters include mathematical modeling, case studies, and implementation frameworks, with coverage spanning stochastic forecasting, reinforcement learning, anomaly detection, and semantic parsing of logistics documentation.Key benefits include its emphasis on integrated intelligenceblending ML, IoT, and simulation for realtime, predictive insights. It also highlights scalability across industries, with tools adaptable to sectors like automotive, healthcare, and aerospace. Each chapter concludes with open problems and future directions, offering a roadmap for innovation in intelligent operations. This book explores how modern technologiesespecially data analytics, machine learning (ML), and the Internet of Things (IoT)are transforming supply chain and manufacturing operations. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Hardcover. Etat : new. Hardcover. This book explores how modern technologiesespecially data analytics, machine learning (ML), and the Internet of Things (IoT)are transforming supply chain and manufacturing operations. Bridging academic research and industrial practice, this book presents data as a strategic asset driving agility, efficiency, and resilience.Structured around four themes, it covers:Foundational analytics and optimizationPredictive and prescriptive analytics for proactive decisionmakingRealtime IoT data for workflow monitoring and controlDigital Twins and Natural Language Processing (NLP) for modeling and interactionChapters include mathematical modeling, case studies, and implementation frameworks, with coverage spanning stochastic forecasting, reinforcement learning, anomaly detection, and semantic parsing of logistics documentation.Key benefits include its emphasis on integrated intelligenceblending ML, IoT, and simulation for realtime, predictive insights. It also highlights scalability across industries, with tools adaptable to sectors like automotive, healthcare, and aerospace. Each chapter concludes with open problems and future directions, offering a roadmap for innovation in intelligent operations. This book explores how modern technologiesespecially data analytics, machine learning (ML), and the Internet of Things (IoT)are transforming supply chain and manufacturing operations. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Hardcover. Etat : new. Hardcover. This book explores how modern technologiesespecially data analytics, machine learning (ML), and the Internet of Things (IoT)are transforming supply chain and manufacturing operations. Bridging academic research and industrial practice, this book presents data as a strategic asset driving agility, efficiency, and resilience.Structured around four themes, it covers:Foundational analytics and optimizationPredictive and prescriptive analytics for proactive decisionmakingRealtime IoT data for workflow monitoring and controlDigital Twins and Natural Language Processing (NLP) for modeling and interactionChapters include mathematical modeling, case studies, and implementation frameworks, with coverage spanning stochastic forecasting, reinforcement learning, anomaly detection, and semantic parsing of logistics documentation.Key benefits include its emphasis on integrated intelligenceblending ML, IoT, and simulation for realtime, predictive insights. It also highlights scalability across industries, with tools adaptable to sectors like automotive, healthcare, and aerospace. Each chapter concludes with open problems and future directions, offering a roadmap for innovation in intelligent operations. This book explores how modern technologiesespecially data analytics, machine learning (ML), and the Internet of Things (IoT)are transforming supply chain and manufacturing operations. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Hardcover. Etat : new. Hardcover. This book explores how modern technologiesespecially data analytics, machine learning (ML), and the Internet of Things (IoT)are transforming supply chain and manufacturing operations. Bridging academic research and industrial practice, this book presents data as a strategic asset driving agility, efficiency, and resilience.Structured around four themes, it covers:Foundational analytics and optimizationPredictive and prescriptive analytics for proactive decisionmakingRealtime IoT data for workflow monitoring and controlDigital Twins and Natural Language Processing (NLP) for modeling and interactionChapters include mathematical modeling, case studies, and implementation frameworks, with coverage spanning stochastic forecasting, reinforcement learning, anomaly detection, and semantic parsing of logistics documentation.Key benefits include its emphasis on integrated intelligenceblending ML, IoT, and simulation for realtime, predictive insights. It also highlights scalability across industries, with tools adaptable to sectors like automotive, healthcare, and aerospace. Each chapter concludes with open problems and future directions, offering a roadmap for innovation in intelligent operations. This book explores how modern technologiesespecially data analytics, machine learning (ML), and the Internet of Things (IoT)are transforming supply chain and manufacturing operations. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…