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Ali, F, Chowdary, B V and Gonzales, L (2013) An integrated design approach for rapid product development: A case study through application of reverse engineering, re-engineering and fast prototyping tools. Journal of Engineering, Design and Technology, 11(02), 178-89.
Griffin, B and Yang, J (2013) Design and analysis of a novel earpiece-less eyeglass frame. Journal of Engineering, Design and Technology, 11(02), 158-77.
Khalaf, A B, Hamam, Y, Alayli, Y and Djouani, K (2013) The effect of maintenance on the survival of medical equipment. Journal of Engineering, Design and Technology, 11(02), 142-57.
- Type: Journal Article
- Keywords: Maintenance; Medical equipment; Model; Probability; Survival
- ISBN/ISSN: 1726-0531
- URL: https://doi.org/10.1108/JEDT-06-2011-0033
- Abstract:
Purpose – Studying the availability of medical equipment based on various maintenance types has been a major concern for hospitals. Most of the methodologies used are empirical and few are based on mathematical modelling. The objective of this paper is to present a mathematical maintenance model that analyses the effect of maintenance on the survival probability of medical equipment based on maintenance history and age of that equipment. Design/methodology/approach – A global model is proposed to measure the probability of equipment being available using real data extracted from maintenance history of infusion pumps and ventilators and analysed using Matlab. To confirm the validity of the developed model, the survival analysis approach is used to develop a model that measures the survival of equipment as a function of maintenance and age of equipment. The method is first tested using simulated data and the findings confirm the validity of the proposed approach. Findings – The analysis using survival approach reveals that conducting preventive maintenance (PM) on the selected medical equipment had an impact on survival of equipment. However, the manufacturer's recommended PM intervals do not correlate to the failure rate encountered. This will contribute to the debate on PM manufacturer's recommended intervals and might lead to the revision of maintenance strategies implemented by hospitals and clinical engineering (CE) practitioners. Research limitations/implications – Although the data collected for the infusion pumps were quite sufficient, that collected for the ventilators were more limited. The major difficulty is that of the availability of historical maintenance data and the effect of user errors may cause uncertainty in the analysis. A closer collaboration with the medical professional should facilitate the recording and access to such information. Practical implications – The use of mathematical modelling to analyse the effect of maintenance on the survival of medical equipment is a beneficial tool that is not exploited in the medical equipment industry. It will provide CE practitioners with scientific tool to analyse the effect of PM on the survival of medical equipment. Originality/value – This paper presents a mathematical approach to analyse the effect of maintenance on the survival of medical equipment, which is crucial in the assessment of maintenance strategies implemented in the medical equipment industry.
Mathews, M (2013) BIM collaboration in student architectural technologist learning. Journal of Engineering, Design and Technology, 11(02), 190-206.
Vinodh, S, Somanaathan, M and Arvind, K R (2013) Development of value stream map for achieving leanness in a manufacturing organization. Journal of Engineering, Design and Technology, 11(02), 129-41.
Zheng, P and Dai, G (2013) A comparative study on static properties of a three-main-truss and three-cable-plane cable-stayed bridge. Journal of Engineering, Design and Technology, 11(02), 207-20.