Engineering analytics : advances in research and applications /

"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 impro...

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Bibliographic Details
Corporate Author:	Taylor & Francis
Other Authors:	Rabelo Mendizabal, Luis C. (Luis Carlos), 1960- (Editor), Gutierrez-Franco, Edgar (Editor), Sarmiento, Alfonso (Editor), Mejía-Argueta, Christopher (Editor)
Format:	eBook
Language:	English
Published:	Boca Raton, Florida ; Abingdon, Oxon : CRC Press, 2022.
Edition:	First edition.
Subjects:	Industrial engineering > Data processing. System analysis > Data processing. Big data. Engineering mathematics. Génie industriel > Informatique. Analyse de systèmes > Informatique. Données volumineuses. Mathématiques de l'ingénieur. TECHNOLOGY / Operations Research Big data Engineering mathematics Industrial engineering > Data processing System analysis > Data processing Electronic books.
Online Access:	Connect to the full text of this electronic book

Description
Summary:	"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"--
Physical Description:	1 online resource
Bibliography:	Includes bibliographical references and index.
ISBN:	9781003137993 1003137997 9781000453768 1000453766 9781000453751 1000453758