CONTRIBUTION TO A MAINTENANCE POLICY ADAPTED TO THE AGING STATE OF A MACHINE: APPLICATION TO THE VERTICAL LATHE "DORRIES SD80"

Authors

  • Belhour Samira Mentouri Brothers University Constantine1 Author
  • Aichouri Imen Higher National School of Engineering and Technology ENSTI Author
  • Chaib Rachid Mentouri Brothers University Constantine1 Author
  • Nettour Djamel Higher National School of Engineering and Technology ENSTI Author
  • Aouad Razika Mentouri Brothers University Constantine1 Author

Keywords:

Lathe, FMEA, Pareto, maintenance plan, functional analysis

Abstract

Nowadays industrial landscape, maintenance plays a pivotal role in enhancing equipment availability and maximizing productivity. As machinery becomes increasingly central to manufacturing efficiency, any disruption due to equipment failure can have severe repercussions on operational performance and profitability. This study focuses on the analysis of a DORRIES SD 80 vertical lathe, a machine of strategic importance within the production line, responsible for a critical phase in the fabrication of mechanical components. Given its essential role, any downtime not only halts the entire production process but also leads to significant financial losses. With the machine approaching the end of its optimal service life, maintaining its availability has become an urgent priority. To this end, a comprehensive diagnostic of its functional state was carried out. The methodology included the application of Failure Modes and Effects Analysis (FMEA) to systematically identify and assess potential points of failure. Additionally, the Pareto diagram was employed to determine the most frequent and impactful failure modes, thereby guiding decision-makers in prioritizing maintenance efforts.

The results of this investigation enabled the creation of a detailed failure map, pinpointing the most vulnerable components and formulating a prioritized action plan for preventive and corrective maintenance. Moreover, this analysis provided the foundation for proposing targeted improvements to extend the machine's operational life and optimize performance. Ultimately, the study supports the implementation of a proactive, data-driven maintenance policy that not only preserves the machine's functionality but also reinforces the overall efficiency and reliability of the production system.

Downloads

Published

2025-06-18

Issue

Section

Articles