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.

Presents current statistical challenges in production engineering with big data Combines research from both statistics and production engineering Presents a wide range of statistical methods and applications for big data in production engineering

Inhalt
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.