Predictive Maintenance Solution for Logistics Robotic Cell

Journal Title: International Journal of Current Science Research and Review - Year 2020, Vol 3, Issue 01

Abstract

The Industry 4.0 trend is known as being the next industrial revolution. The major change introduced by this concept, is the digitalization of the industry. The manufacturing field that has been already transformed into automation (being considered as the third industrial revolution) need to be connected, to be gathered data based on witch new business value is expected. The logistic domain suffered also a lot of change along the last years. Robotic cells are deserving logistic chains and maximizes the outcome. Together with the use of robotic cells, machines are used as a service, in which they are being paid as much as they produce. Robots cells as a service, in the word of selling everything as a service. For this business model, predictive maintenance is an important aspect, since a not working cell, can’t generate value and revenue. Current research approaches the predictive maintenance solution for logistic robotic cell, in order to increase the uptime of the machine, and therefore the output. Logistic machine producers sell the cells as a service and assumes all the risks that appear.

Authors and Affiliations

Claudiu Ioan Abrudan , Paul Emanuel Baru , Florin Bugnar

Keywords

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  • EP ID EP683923
  • DOI -
  • Views 209
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How To Cite

Claudiu Ioan Abrudan, Paul Emanuel Baru, Florin Bugnar (2020). Predictive Maintenance Solution for Logistics Robotic Cell. International Journal of Current Science Research and Review, 3(01), -. https://europub.co.uk/articles/-A-683923