Mémoires de fin de Cycle

Permanent URI for this community

http://172.16.16.5:4000/handle/123456789/15

Browse

Browsing Mémoires de fin de Cycle by Author "ABLA Ikram"

Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    PREVENTIVE MAINTENANCE STRATEGY FOR PRODUCTION PROCESSES AT CP1Z ARZEW PLANT (ORAN) BASED ON DATA ANALYSIS: OPTIMIZING MAINTENANCE PLANNING AND COST ESTIMATION.
    (NATIONAL HIGHER SCHOOL OF TECHNOLOGY AND ENGINEERING - ANNABA, 2025) ABLA Ikram; DJEMANA Mohamed (Encadrant)
    This final year project focuses on the optimization of preventive maintenance planning and cost reduction for industrial equipment. By analyzing key reliability performance indicators such as failure rates, availability, and maintenance costs, the study identifies inefficiencies in the current maintenance strategy. A Particle Swarm Optimization (PSO) algorithm is then applied to generate an optimal maintenance schedule that balances minimizing costs and maximizing equipment reliability and availability. The results demonstrate significant improvements in operational performance and cost efficiency, validating the effectiveness of combining data-driven analysis with advanced optimization techniques. This approach offers a practical framework for sustainable and cost-effective maintenance management in industrial settings.
  • Thumbnail Image
    Item
    RELIABILITY ASSESSMENT OF THE SINGLE-STAGE STEAM TURBINE Q201 IN THE STEAREFORMING UNIT AT SONATRACH'S CP1/Z PLANT (ORAN) USING THE FAILURE MODES,EFFECTS, AND CRITICALITY ANALYSIS (FMECA)
    (NATIONAL HIGHER SCHOOL OF TECHNOLOGY AND ENGINEERING - ANNABA, 2025) ABLA Ikram; DJEMANA Mohamed (Encadrant)
    This Master's thesis presents a preventive maintenance study of the single-stage steam turbine YR installed at the CP1Z petrochemical complex. Given the critical role of this turbine in the methanol production process (Sections 200 and 700), any failure can lead to complete production stoppage. Through a detailed analysis, we explored the structure and operation of the turbine, then applied the AMDEC (Failure Modes, Effects and Criticality Analysis) method to identify the most frequent failure causes, assess their severity, and propose an optimized maintenance strategy. This approach aims not only to increase equipment availability but also to reduce maintenance costs and improve operational reliability. Our work concludes with a practical maintenance plan that can serve as a foundation for future diagnostic systems based on vibrational signal analysis.