Engineering analytics : advances in research and applications /
Engineering analytics : advances in research and applications /
edited by Luis Rabelo, Edgar Gutierrez-Franco, Alfonso Sarmiento, and Christopher Mejía-Argueta.
- First edition.
- 1 online resource
Interactive visualization to support data and analytics-driven supply chain design decisions / Milena Janjevic and Matthias Winkenbach -- Analysis of IoT implementations using agent-based modeling : two case studies / Mohammed Basingab, Khalid Nagadi, Atif Shahzad, and Ghada Elnaggar.
"Engineering analytics is becoming a necessary skill for every engineer. Areas such as Operations Research, Simulation, and Machine Learning can be totally transformed through massive volumes of data. This book is intended to be an introduction to Engineering Analytics that can be used to improve performance tracking, customer segmentation for resource optimization, patterns and classification strategies, and logistics control towers. Basic methods in the areas of visual, descriptive, predictive, and prescriptive analytics and Big Data are introduced. Industrial case studies and example problem demonstrations are used throughout the book to reinforce the concepts and applications. The book goes on to cover visual analytics and its relationships, simulation from the respective dimensions and Machine Learning and Artificial Intelligence from different paradigms viewpoints. The book is intended for professionals wanting to work on analytical problems, for Engineering students, Researchers, Chief-Technology Officers, and Directors that work within the areas and fields of Industrial Engineering, Computer Science, Statistics, Electrical Engineering Operations Research, and Big Data"--
9781003137993 1003137997 9781000453768 1000453766 9781000453751 1000453758
Industrial engineering--Data processing.
System analysis--Data processing.
Big data.
Engineering mathematics.
TECHNOLOGY / Operations Research
T57.5
620.00285
Interactive visualization to support data and analytics-driven supply chain design decisions / Milena Janjevic and Matthias Winkenbach -- Analysis of IoT implementations using agent-based modeling : two case studies / Mohammed Basingab, Khalid Nagadi, Atif Shahzad, and Ghada Elnaggar.
"Engineering analytics is becoming a necessary skill for every engineer. Areas such as Operations Research, Simulation, and Machine Learning can be totally transformed through massive volumes of data. This book is intended to be an introduction to Engineering Analytics that can be used to improve performance tracking, customer segmentation for resource optimization, patterns and classification strategies, and logistics control towers. Basic methods in the areas of visual, descriptive, predictive, and prescriptive analytics and Big Data are introduced. Industrial case studies and example problem demonstrations are used throughout the book to reinforce the concepts and applications. The book goes on to cover visual analytics and its relationships, simulation from the respective dimensions and Machine Learning and Artificial Intelligence from different paradigms viewpoints. The book is intended for professionals wanting to work on analytical problems, for Engineering students, Researchers, Chief-Technology Officers, and Directors that work within the areas and fields of Industrial Engineering, Computer Science, Statistics, Electrical Engineering Operations Research, and Big Data"--
9781003137993 1003137997 9781000453768 1000453766 9781000453751 1000453758
Industrial engineering--Data processing.
System analysis--Data processing.
Big data.
Engineering mathematics.
TECHNOLOGY / Operations Research
T57.5
620.00285