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Proceedings of the Pacific Rim Statistical Conference for Production Engineering

Big Data, Production Engineering and Statistics

  • Dongseok Choi
  • Daeheung Jang
  • Tze Leung Lai
  • Youngjo Lee
  • Ying Lu
  • Jun Ni
  • Peter Qian
  • Peihua Qiu
  • George Tiao
Conference proceedings

Part of the ICSA Book Series in Statistics book series (ICSABSS)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Design and Collection of Big Data

  3. Analytic Methods of Big Data

  4. Operation/Production Decision Making

    1. Front Matter
      Pages 39-39
    2. Hsiang-Ling Hsu, Ching-Kang Ing, Tze Leung Lai, Shu-Hui Yu
      Pages 67-81
  5. Reliability and Health Management

    1. Front Matter
      Pages 83-83
    2. Chien-Yu Peng, Hsueh-Fang Ai
      Pages 95-122
  6. Recent Advances in Statistical Methods

About these proceedings

Introduction

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.

Keywords

Applied Statistics Production Engineering Big Data Statistical Theories Statistical Methods

Editors and affiliations

  • Dongseok Choi
    • 1
  • Daeheung Jang
    • 2
  • Tze Leung Lai
    • 3
  • Youngjo Lee
    • 4
  • Ying Lu
    • 5
  • Jun Ni
    • 6
  • Peter Qian
    • 7
  • Peihua Qiu
    • 8
  • George Tiao
    • 9
  1. 1.Oregon Health & Science University PortlandUSA
  2. 2.Pukyong National University BusanKorea (Republic of)
  3. 3.Stanford UniversityStanfordUSA
  4. 4.Seoul National UniversityGwanak-gu, SeoulKorea (Republic of)
  5. 5.Stanford University StanfordUSA
  6. 6.University of Michigan–Ann ArborAnn ArborUSA
  7. 7.University of Wisconsin–MadisonMadisonUSA
  8. 8.University of FloridaGainesvilleUSA
  9. 9.University of Chicago ChicagoUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-10-8168-2
  • Copyright Information Springer Nature Singapore Pte Ltd. 2018
  • Publisher Name Springer, Singapore
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-981-10-8167-5
  • Online ISBN 978-981-10-8168-2
  • Series Print ISSN 2199-0980
  • Series Online ISSN 2199-0999
  • Buy this book on publisher's site