Analytics as an enabler of advanced manufacturing

Ron S. Kenett, Inbal Yahav, Avigdor Zonnenshain

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Knowledge and information are critical assets for any manufacturing enterprise. They enable businesses to differentiate themselves from competitors and compete efficiently and effectively to the best of their abilities. At present, information technology, telecommunications, and manufacturing are merging as the means of production are becoming increasingly autonomous. Advanced manufacturing, or Industry 4.0, is based on three interconnected pillars: (i) Computerized Product Design and Smart Technology; (ii) Smart Sensors, Internet of Things, and Data Collectors integrated in Manufacturing Lines; and (iii) Analytics, Control Theory and Data Science. This chapter consists of a critical review of the third pillar of data analytics, and how it is related to the two other pillars. Our objective is to present a context for a range of analytic challenges in the Industry 4.0 context. We first provide a general introduction to advanced manufacturing elements followed by a listing of trends in modern analytic tools and technology. We then list challenges in analytics supporting Industry 4.0. The information quality (InfoQ) framework serves here as a backbone for evaluating the analytics technology required for Industry 4.0. The eight InfoQ dimensions are: (i) Data Resolution; (ii) Data Structure; (iii) Data Integration; (iv) Temporal Relevance; (v) Chronology of Data and Goal; (vi) Generalizability; (vii) Operationalization; and (viii) Communication. These dimensions provide a classification of advanced manufacturing analytics domains and assist to identify gaps and new opportunities. The review provides a theoretical framework and suggestions for future research directions and implementations of analytics in Industry 4.0. It is designed to motivate researchers, practitioners, and industrialists and to facilitate Industry 4.0 deployments and expansions.

Original languageEnglish
Title of host publicationSystems Engineering in the Fourth Industrial Revolution
Subtitle of host publicationBig Data, Novel Technologies, and Modern Systems Engineering
Publisherwiley
Pages321-343
Number of pages23
ISBN (Electronic)9781119513957
ISBN (Print)9781119513896
DOIs
StatePublished - 24 Jan 2020

Keywords

  • Advanced manufacturing analytics
  • Big data
  • Condition-based maintenance
  • Decision support systems
  • Fault detection
  • Industry 4.0
  • Information quality framework
  • Manufacturing systems
  • Quality improvement

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