Parth saxena (15 Ergebnisse)

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Paperback. Zustand: 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. Zustand: 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.…

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

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Taschenbuch. Zustand: 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.…

Zustand: 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. Zustand: 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. Zustand: 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. Zustand: 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.…

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