Proceedings of the Pacific Rim Statistical Conference for Production Engineering

Big Data, Production Engineering and Statistics
Softcover Nachdruck of the original 1. Auflage 2018
ISBN: 978-981-13-4084-0
Verlag: Springer

Buch, Englisch, 170 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 283 g

Reihe: ICSA Book Series in Statistics

This book presents the proceedings of the 2nd Pacific Rim Statistical Conference for Production Engineering: Production Engineering, Big Data and Statistics, which took place at Seoul National University in Seoul, Korea in December, 2016. The papers included discuss a wide range of statistical challenges, methods and applications for big data in production engineering, and introduce recent advances in relevant statistical methods.

Zielgruppe

Research

Autoren/Hrsg.

Choi, Dongseok

Jang, Daeheung

Lai, Tze Leung

Lee, Youngjo

Lu, Ying

Ni, Jun

Qian, Peter

Qiu, Peihua

Tiao, George

Fachgebiete

• Technische Wissenschaften Technik Allgemein Industrial Engineering
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik

Inhaltsverzeichnis

Section 1: Design and Collection of Big Data.- Section 2: Analytic Methods of Big Data.- Section 3: Operation/Production Decision Making.- Section 4 Reliability and Health Management.-Section 5: Statistical Theories Related with the Big Data.- Section 6: Recent Advances in Statistical Methods.- Section 7: Development of Statistical Software for the Big Data.- Section 8: Big Data and Its Application to Industry.- Section 9: Big Data and Its Application to Industry.