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Reliability, availability and maintainability - RAM analysis of cake production lines: a case study

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  • Panagiotis Tsarouhas

Abstract

In this study reliability, availability and maintainability analysis was conducted for cake production line by applying statistical techniques on failure data. Data collection from the line and their analysis were valid over a long time of seventeen months. The reliability, availability and maintainability analysis of the failure data were determined to provide an estimate of the current operation management and improve the line efficiency. It was found out that: (a) the availability of the cake production line was 95.44% and dropped to 93.15% because the equipment's failures cause an additional production gap in the line (b) the two machines with the most frequent failures and lowest availabilities are the forming/dosing machine, and the wrapping machine (c) the worst maintainability occurs at cooling tower, and at oven (d) the identification of the best distributions for the failure data and their parameters of the cake production line were made.

Suggested Citation

  • Panagiotis Tsarouhas, 2018. "Reliability, availability and maintainability - RAM analysis of cake production lines: a case study," International Journal of Data Analysis Techniques and Strategies, Inderscience Enterprises Ltd, vol. 10(4), pages 381-405.
  • Handle: RePEc:ids:injdan:v:10:y:2018:i:4:p:381-405
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    Cited by:

    1. Ding Zhang & Yi Luo & Qiang Liu, 2024. "Reliability evaluation of production systems with finite buffers subject to time-dependent and operation-dependent failures," Annals of Operations Research, Springer, vol. 340(1), pages 671-691, September.
    2. Monika Saini & Ashish Kumar & Deepak Sinwar, 2022. "Parameter estimation, reliability and maintainability analysis of sugar manufacturing plant," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 231-249, February.

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