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<p>Equipment failure in food processing lines reduced reliability and lower output. It also causes degradation of food quality, especially if stoppages are prolonged. The study applies a Reliability, Availability, and Maintainability analysis of a mozzarella cheese processing line. The analysis is based on seven years of operational failure and repair data from a cheese plant in western India. Statistical modelling techniques were employed to estimate the reliable life and reliability of different subsystems. The analysis identified that the moulder machine, Pre-cooking and cooking stretching machine, Finishing VAT, and Hassia Shredding machine are the most critical subsystems due to their low reliability and maintainability. The reliability of a critical machine or subsystem is zero within one year. These findings highlight targeted preventive maintenance and resource allocation to reduce downtime and product losses. This study proposes a data-driven optimization of maintenance schedules, predicting equipment lifespan, and supporting proactive reliability management in dairy manufacturing.</p>

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Reliability and Maintainability Evaluation for Optimizing Mozzarella Cheese Processing Line: A Trend-Based Assessment of Maintenance Data

  • 期刊论文

  • 发表日期：

    2026年5月11日

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  • Vaishali Talkit,
  • Anand Bewoor,
  • Rajkumar Bhimgonda Patil,
  • Amitkumar Shelar

摘要

Equipment failure in food processing lines reduced reliability and lower output. It also causes degradation of food quality, especially if stoppages are prolonged. The study applies a Reliability, Availability, and Maintainability analysis of a mozzarella cheese processing line. The analysis is based on seven years of operational failure and repair data from a cheese plant in western India. Statistical modelling techniques were employed to estimate the reliable life and reliability of different subsystems. The analysis identified that the moulder machine, Pre-cooking and cooking stretching machine, Finishing VAT, and Hassia Shredding machine are the most critical subsystems due to their low reliability and maintainability. The reliability of a critical machine or subsystem is zero within one year. These findings highlight targeted preventive maintenance and resource allocation to reduce downtime and product losses. This study proposes a data-driven optimization of maintenance schedules, predicting equipment lifespan, and supporting proactive reliability management in dairy manufacturing.