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Weibull Distribution Analysis of the Hemodialysis Machine Reliability: A Case Study

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Proceedings of the 2nd International Conference on Innovative Materials, Manufacturing, and Advanced Technologies (IMMAT 2022)

Part of the book series: Mechanisms and Machine Science ((Mechan. Machine Science,volume 144))

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Abstract

Hemodialysis devices are vital medical equipment which is directly responsible for the patient’s life, used to treat kidney failure. In this paper, the reliability of the Hemodialysis machine was analyzed using a Weibull distribution approach. The weibull distribution is adopted for this analysis, with clear and simplified steps, enabling hospital maintenance department to use the results to develop an inspection/maintenance model, and can be implemented in healthcare facilities in order to guarantee the safety and efficiency of dialysis processes. A statistical analysis of the failure data is adopted to harness the failure and repair data of the machine. From the failure history, the scale and the shape parameters of the Weibull distribution were estimated using a linearization of the cumulative density function. The efficiency of the used method is illustrated by the quality fitness indices. The question of the reliability and the failure rate is treated in order to develop an efficient tool for the medical equipment monitoring.

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References

  • Ahsan, S., Lemma, T.A., Gebremariam, M.A.: Reliability analysis of gas turbine engine by means of bathtub-shaped failure rate distribution, Proc. Safety Prog. e12115 (2019). https://doi.org/10.1002/prs.12115

  • Azar, A.T.: The influence of maintenance quality of hemodialysis machines on hemodialysis efficiency. Saudi J. Kidney Dis. Transpl. 20(1), 49–56 (2009). PMID: 19112219

    MathSciNet  Google Scholar 

  • Bahreini, R., Doshmangir, L., Imani, A.: Factors affecting medical equipment maintenance management: a systematic review. J. Clin. Diagn. Res. 12(4), IC01–IC07 (2018)

    Google Scholar 

  • Chi-chao, L.: A comparison between the weibull and lognormal models used to analyze reliability data. P.hd thesis University of Nottingham, UK (1997)

    Google Scholar 

  • Dhillon, B.S.: Medical Device Reliability and Associated Areas, CRC Press, 29 mars 2000 (2000). ISBN-13: 978-0849303128

    Google Scholar 

  • Dhillon, B.S.: Medical equipment reliability: a review, analysis methods and improvement strategies. Int. J. Reliab. Qual. Saf. Eng. 18(4), 391–403 (2011). https://doi.org/10.1142/S0218539311004317

    Article  Google Scholar 

  • Fidanoglu, M., Ungor, U., Ozkol, I., Komurgoz, G.: Application of weibull distribution method for aircraft component life estimation in civil aviation sector. J. Traffic Logistics Eng. 5(1) (2017)

    Google Scholar 

  • Khalaf, A.B., Hamam, Y.: The effect of maintenance on the survival of medical equipment. J. Eng. Des. Technol. 11(2), 142–157 (2013). https://doi.org/10.1108/JEDT-06-2011-0033

    Article  Google Scholar 

  • Kumar, H.N.S., Choudhary, R.P., Murthy Ch, S.N.: Failure rate analysis of shovel and dumper in opencast limestone mine using RWB and ANN. Int. J. Innov. Technol. Exploring Eng. (IJITEE) 8 (5), 1025–1030 (2019). ISSN: 2278-3075

    Google Scholar 

  • Lihou, D.A., Spence, G.D: Proper use of data with the Weibull distribution. J. Loss Prevention Process Industr. 1(2), 110113 (1988). ISSN 0950-4230.https://doi.org/10.1016/0950-4230(88)80021-4

  • Luko, S.N.: A review of the Weibull Distribution and Selected Engineering Applications, SAE technical paper series (1999).https://doi.org/10.4271/1999-01-2859

  • Lyonnet P (1991), Tools of Total Quality, An Introduction to statistical Process Control, Chapman and Hall, London

    Google Scholar 

  • Mazah, M.: Efficiency of the reliability function and scheduling method in determining the optimal preventive maintenance time for digital X-Ray devices. Int. J. Stat. Appl. 9(2), 53–58 (2019). https://doi.org/10.5923/j.statistics.20190902.02

    Article  Google Scholar 

  • O’Connor, D.T., Kleyner, A.: Practical Reliability Engineering, John Wiley and Sons, Chichester, UK, 5th edition (2012)

    Google Scholar 

  • Pascale, E., Freneaux, T., Sista, R., Sannino., P, Marmo, P., Bouillaut, L.: Application of the Weibull distribution for the optimization of maintenance policies of an electronic railway signaling system. In: European Safety and Reliability Conference, PORTOROZ, France, 8p (2017). ffhal-01521640f

    Google Scholar 

  • Pasha, G.R., Khan, M.S., Pasha, A.H.: Empirical analysis of the Weibull distribution for failure data. J. Stat. 13(1), 33–45 (2006)

    Google Scholar 

  • Rausand, M., Hoyland, A: System Reliability Theory: Models, Statistical Methods, and Applications, Second Edition, John Wilev & Sons. Inc. (2004)

    Google Scholar 

  • Razali, A.M., Salih, A.A., Asaad, A.M.: Estimation accuracy of weibull distribution parameters. J. Appl. Sci. Res. 5(7), 790–799 (2009)

    Google Scholar 

  • World Health Organization, Regional Committee for the Eastern Mediterranean (2006), The role of medical devices and equipment in contemporary health care systems and services. EM/RC53/Tech.Disc.2

    Google Scholar 

  • Yong, T.: Extended Weibull distributions in reliability engineering, PhD thesis, National University of Singapore (2004)

    Google Scholar 

  • Zamzam, A.H., Abdul Wahab, A.K., Azizan, M.M., Satapathy, S.C., Lai, K.W., Hasikin, K.: A systematic review of medical equipment reliability assessment in improving the quality of healthcare services. Front. Public Health 9, 753951 (2021). https://doi.org/10.3389/fpubh.2021.753951

    Article  Google Scholar 

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Acknowledgements

The authors dedicate this work to the soul of Mr. Rabii Ben Kdissa that god took him for his participation in the realization of this article.

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Correspondence to Bouchoucha Faker .

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Sofiene, F., Faker, B. (2024). Weibull Distribution Analysis of the Hemodialysis Machine Reliability: A Case Study. In: Sai, L., Sghaier, R.B., Abdelkader, K., Saï, K., Bouzid Saï, W., Laribi, M.A. (eds) Proceedings of the 2nd International Conference on Innovative Materials, Manufacturing, and Advanced Technologies. IMMAT 2022. Mechanisms and Machine Science, vol 144. Springer, Cham. https://doi.org/10.1007/978-3-031-42659-9_19

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  • DOI: https://doi.org/10.1007/978-3-031-42659-9_19

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