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Marvin Raushad, (1998), Reliability Centered Maintenance, Reliability Engineering and System Safety, vol. 60, pp.121-132.
Valma J Robertson, Kerry Gbaker (2001), A overview of Therapeutic Ultrasound: Effectiveness Studies, Volume eighty one, No. 7.pp. 12-20
four. Medical Equipments productivity factor in ultrasound is 36 % in closing three years by purpose of the extra and extra Break downs maintenance and Planned preventive maintenance happened which is now not purposeful for productivity, life of gadget. Step ought to be taken in early stage of breakdowns. five. Productivity factor in CT scan is 38 % previous three years, on account of a lot less BDM on the other hand extra PPM. 6. Overall gadget effectiveness of Ultrasound is 38.90, it means gadget is in destructive condition and limitless trip downs, extra failures happened. Require proper type testing, calibrations, changeovers textile, modifications. It will contribute to progress in effectiveness in now not every now and then ever demeanour. 7. OEE of CT scan is seventy two %, this is recommend that gadget is in purposeful condition on account of breakdowns and disasters are limited. In every so the complete time testing and commissioning, inspection is requiring. It will principally progress effectiveness in swift demeanour.
In this enterprise, ship related and alter equations which is use to solve medical equipments maintenenace headaches. (Stephen, 2004) This equations are changed on the postulate of productivity and reliability maintenance leadership.. Stephen identified equations: Breakdown (Excepted)= S (No. of Failures) * Frequency of Failure / Total No. of Failures, But alter equation would also be: Breakdowns (predictable) = (a1+a2+a3an) * () / Tf Therefore a isn't unavoidably any. of repetitive failures, an is nth time period of failure which is looking ahead to failure with time, is frequency of failure happening in length week, months, Tf is complete no. of failures according to years. Conclusion In the finish, comparing MMS in hospital is key focal factor for clinical engineers. This alter equations of equipments will toughen maintenance practices whole and overcome failures, breakdowns. Successful in implementing and making use of mathematical equations will unquestionably increases productivity and whole gadget effectiveness. Nonetheless, by purpose of the the necessity to make chosen maintenance leadership system, determine four.9 data analyzed and interpreted from maintenance a ingredient of the asset of equipments is composed of a host of parts that function a outcome of the actuality that the determinants to the success of maintenance observe for health care sectors. By riding mathematical techniques and data analysis from maintenance a ingredient of the asset of equipments is composed of a host of parts that function a outcome of the actuality that the determinants to the success of effectiveness of gadget and maximum fantastic maintenance observe in health care industries.
Levitt, J. (1997), The Handbook of Maintenance Management, Industrial Press Inc, New York, NY.
Mark C.,Eti,S.O.T Ogaji, S.D. Probert (2006). Strategies Maintenance Management in Nigerian Industries, Journal of Applied Energy, No. 83, pp. 211-227.
Swanson, L., (1997), An empirical be taught about of the relationship between creation technologies and maintenance Management, International Journal of creation economics No. fifty three, pp. 191-207.
BACKGROUND STUDIES /PROBLEM STATEMENT:
Recent maintenance practices in hospital (health care equipments and capabilities) and use of computerized maintenance leadership system (CMMs) fundamentally focused hospital counsel maintenance leadership system (HIMMs) ship purposeful practices all through comparing potency and effectiveness of equipments. But unluckily, CMMs and maintenance subjects to do i.e. Breakdown maintenance (BDM), planned preventive maintenance (PPM), productivity is now not solve headaches at all. Several purposes are: 1. CMMs now not solve headaches of repetitive failures, BDM , PPM for longer time period 2. CMMs furthermore now not predict life cycle and sturdiness of equipments for long interval For this purpose, desire of such system which can predict and make certain headaches at all.
Yusof, M, Bakri Rugayah, Musa Zaharah (2006), Electrical Impedance Tomography. Health Technology Assessment edge, Medical Development edge, Ministry of Health, Malaysia, Technology file, pp. 1-6.
9. Lastly, it might almost naturally also assist clinical engineers to make decision on desire basis of definite gadget or alternative.
Sherwin, D. (2000), A overview of whole patterns for maintenance leadership, Journal of Quality in Maintenance Engineering, Vol.6 No.3, pp. 138-164.
Ted Cohen, (2003) Computerized Maintenance Management Systems for Clinical Engineering, Second Edition, AAMI MIR no. 3, pp. 7-10.
OBJECTIVES OF RESEARCH PROJECT:
8. It will progress productivity & It will hold whole gadget effectiveness.
This examine enterprise is aimed to ship two how one can solve headaches by utilizing theoretically mathematical equations from literature overview and alter equations for definite for repetitive failure, BDM, PPM and package deal productivity. Second approach CMMs device program is to format which is perfectly trustworthy; predictable vital parts for now not merely now, on the other hand also longer time period goal. The outcomes close to system support facility managers or clinical engineers (biomedical engineers). Sustain life of equipments, accessible to alternative and repaired and so forth.
Stephen, M.P (2004), Productivity and Reliability- Based Maintenance Management, Pearson Education Inc., New Jersey, New York, pp.276.
REFERENCES:
Niebel, B. W. (1993). Engineering Maintenance Ninth Edition. United States of America: Irwin. pp. 335-462.
Wireman,T.,(1991), Total Productive Maintenance , an America Approach, Industrial Press, NewYork. PP. sixteen-21.
Bronizo, Joseph D. (2006). The Biomedical Engineering Handbook, Third Edition.
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J.J. Smit , J.A van Weelderen, .(1995), Maintenance Diagnosis of HV installations riding a licensed support system, Proceeding 9th ISH, International Symposium on H.V. Engineering, Graz, Austria, pp. 45-fifty six.
2. Breakdowns maintenance in ultrasound an lousy lot extra and predictable all through closing three yr so it may be an bigger dear alternatives if equipments now not replaced on time. 3. CT scan has low magnitude of breakdowns maintenance all through closing three years so it may be estimated that a lot less gadget dear dissimilar so no would favor to substitute gadget.
Albert H.C Tsang (2002). Strategic measurement of maintenance leadership, Journal of Quality in maintenance Engineering, Vol. 8, No. 1, pp. 127-139. A.C., Marquez, Jatinder N.D.G. (2006). Contemporary maintenance leadership: system, body paintings and supporting pillars, the overseas Journal of Management Science, No. 34, pp.313-326. Atkin, B. and Brooks, A. (2009). Total Facilities Management, 3rd version, Wiley-Blackwell, Oxford and New York, pp. 328.
The targets of the enterprise are: 1) To compare maintenance leadership system in hospital (health care equipments and capabilities) 2) To alter mathematical equations for measuring maintenance subjects to do of ultrasound gadget and CT scan gadget
Vukan Polimac, Jelica Polimac, (2001) Assessment of Present Maintenance Practices and Future Trends, Transmission and Distribution Conference and Exposition, pp.891-894.
RESULTS: 1. From above calculation, the outcome video display items that repetitive failures, BDM, PPM widely key textile and colossal parts in maintenance practices.
B.S. Dhillion, Y.Liu (2006),Human blunders in maintenance overview, Journal of Quality in Maintenance Engineering Vol.12, No.1, pp.21-36.
METHODOLOGY: Data Collection Strategy: Data choice technique is won from visited and remark biomedical engineering branch. Select two imaging equipments ultrasound machine & computed tomography machine from one of those big quantity of hospitals like Hospital Serdang, Hospital Putrajaya and so forth., to gain equipments stock data. Data choice technique is acceptance gadget belongings heritage. It entails planned preventive maintenance (PPM), Breakdown maintenance (BDM), Schedule paintings, paintings orders (w.o), movement taken, seller capabilities, textile leadership, utilities, and tales. Data choice is desire as a outcome of the actuality that: a) Calculate repetitive failures, BDM and PPM b) Measure Productivity and Equipment effectiveness c) Life and use of equipments for longer time period goal Analysis of Data Collection: Analysis of the guidelines is based completely on asset heritage of definite equipments. Identify repetitive breakdowns, planned preventive and productivity potency in either medical equipments. The technique for analyze data is to certain no. of failures, no. of breakdowns and no. of planned preventive for closing three years. Analysis of information choice is required as a outcome of the actuality that: a) Interpret definite headaches b) Apply alter equations to solve headaches Mathematical Analysis In famous, previous research on maintenance leadership system supplied mathematical formulation and equations now not up to no cases overcome headaches of equipments. In medical equipments i.e. reliability equations and availability equations have now not to sufficient to level maintenance potency of ultrasound and CT scan. Predicted Breakdowns
Corder, A.S (1976), Maintenance Management Techniques, McGraw-Hill UK, England.
Wilhelm Burger and Mark J. Burger (2007), Digital Image Processing: An Algorithmic Approach Using Java, Spinger, Volume 30 No 1, pp. 10-18.
Shamsuddin, A., Masjuki, H., Zahiri, (2004), State of Implementation of TPM in SMIs: a survey be taught about in Malaysia, Journal of Quality in Maintenance Engineering, vo1 10 No.2, pp. ninety three-106.
