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Softwarization Of The Production: The Industry 4.0 Approach

Author

Listed:
  • Logica BANICA

    () (Faculty of Economics and Law, University of Pitesti, Romania)

  • Cristian STEFAN

    () (Faculty of Engineering, Informatics and Geography, Spiru Haret University, Bucharest, Romania)

  • Ionela NEDEA

    () (Faculty of Economics and Law, University of Pitesti, Romania)

  • Elena SOARE

    () (Faculty of Economics and Law, University of Pitesti, Romania)

Abstract

Industry 4.0 is a very broad domain that includes: production processes, competitiveness, business decisions, partner and consumer relationships, all centered around cyber-physical systems.This paper aims to introduce main aspects of Industry 4.0 in the relation between physical and digital systems, along with new enabling IT technologies.The paper presents the Industry 4.0 concept and components, and also the IT technologies for implementing a Smart Factory: Industrial Internet-of-Things, Big Data, Cloud Computing, Machine Learning, Digital Twin and Data Analytics. A Smart Factory model is described and a review of several software tools for its building is performed. The case study was realized with ThingsBoard free software, in order to show the steps in building a Smart Factory model and the potential of such an advanced tool for smart manufacturing.

Suggested Citation

  • Logica BANICA & Cristian STEFAN & Ionela NEDEA & Elena SOARE, 2019. "Softwarization Of The Production: The Industry 4.0 Approach," Scientific Bulletin - Economic Sciences, University of Pitesti, vol. 18(1), pages 23-30.
  • Handle: RePEc:pts:journl:y:2019:i:1:p:23-30
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    More about this item

    Keywords

    Industry 4.0; Industrial Internet-of-Things; Big Data; Machine learning; Smart manufacturing.;

    JEL classification:

    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management

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