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.
Paga facilmente con carta, Klarna, Apple Pay o Google Pay. Non sei soddisfatto? Hai sempre 14 giorni per il rimborso. Leggi di più nei nostri termini. Per qualsiasi domanda, scrivici a hello@memmo.org.
Memmo rende lo studio più facile, ovunque tu sia nel mondo. Qui trovi i tuoi libri di testo e strumenti di studio intelligenti, tutto in un unico posto: riassunti, quiz, podcast e flashcard. E poi c'è Ted, il tuo compagno di studio che risponde a ogni tua domanda. Oltre 50.000 studenti studiano già qui: è stato creato per aiutarti a imparare più velocemente e a stressarti meno.