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Supporting Tool for The Transition of Existing Small and Medium Enterprises Towards Industry 4.0

Author

Listed:
  • Miguel Baritto
  • Md Mashum Billal
  • S. M. Muntasir Nasim
  • Rumana Afroz Sultana
  • Mohammad Arani
  • Ahmed Jawad Qureshi

Abstract

The rapid growth of Industry 4.0 technologies such as big data, cloud computing, smart sensors, machine learning (ML), radio-frequency identification (RFID), robotics, 3D-printing, and Internet of Things (IoT) offers Small and Medium Enterprises (SMEs) the chance to improve productivity and efficiency, reduce cost and provide better customer experience, among other benefits. The main purpose of this work is to propose a methodology to support SMEs managers in better understanding the specific requirements for the implementation of Industry 4.0 solutions and the derived benefits within their firms. A proposed methodology will be helpful for SMEs manager to take a decision regarding when and how to migrate to Industry 4.0.

Suggested Citation

  • Miguel Baritto & Md Mashum Billal & S. M. Muntasir Nasim & Rumana Afroz Sultana & Mohammad Arani & Ahmed Jawad Qureshi, 2020. "Supporting Tool for The Transition of Existing Small and Medium Enterprises Towards Industry 4.0," Papers 2010.12038, arXiv.org.
    • Handle: RePEc:arx:papers:2010.12038
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    References listed on IDEAS

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    1. Kamalendu Pal, 2019. "RFID Tag Collision Problem in Supply Chain Management," International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC), IGI Global Scientific Publishing, vol. 11(3), pages 1-12, July.
    2. Alexandre Moeuf & Robert Pellerin & Samir Lamouri & Simon Tamayo-Giraldo & Rodolphe Barbaray, 2018. "The industrial management of SMEs in the era of Industry 4.0," International Journal of Production Research, Taylor & Francis Journals, vol. 56(3), pages 1118-1136, February.
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    Cited by:

    1. Mara Del Baldo & Cătălina Sitnikov & Laura Vasilescu & Lucian Mandache & Radu Ogarcă & Anca Băndoi & Eugen Ganea, 2022. "Funding, Turnover, Sustainability and Digital Technologies: A Multicriteria Research Model for SMEs Facing a Challenging Context," Sustainability, MDPI, vol. 14(7), pages 1-33, March.

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