Review in Maintenance Strategies for Haemodialysis Machine in Healthcare Facilities

David Malombe Mutia; Lawrence Mukhongo; Peter Chemweno

doi:doi:10.11648/j.ie.20180201.15

| Peer-Reviewed

Review in Maintenance Strategies for Haemodialysis Machine in Healthcare Facilities

David Malombe Mutia, Lawrence Mukhongo, Peter Chemweno

Published in Industrial Engineering (Volume 2, Issue 1)

Received: 17 September 2018 Accepted: 29 September 2018 Published: 30 October 2018

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

Abstract

Hemodialysis machines are critical medical equipment in healthcare facilities for renal replacement therapy in form of dialysis treatment on solving chronic kidney diseases in Sub Sahara Africa. It is a vital machine which acts as human kidney by incorporating electromechanical controlled extracorporeal blood paths that leverage pumps and semi permeable dialyzer membranes to filter the patient’s blood. The biggest challenge to the biomedical engineers in most African hospitals is to maintain the manufacturer’s safety and performance specification of the haemodialysis equipment. There is a need for effective maintenance strategy for haemodialysis medical equipment in order to maintain the manufacturer’s set specification to meet clinical expectations and hence improve its reliability. The overall goal of the research paper is therefore to analyze the influence of different maintenance strategies and subsequently improve on the reliability of hemodialysis equipment in healthcare institutions in Kenya. The research will prioritize hemodialysis machine as critical medical equipment and use comprehensive secondary data to review and analyze the strategic maintenance applied in health institutions to optimize the best and cost effective strategic maintenance for the hemodialysis medical equipment. The ant colony optimization (ACO) algorithms may be less expert reliant and avoid uncertainty and ambiguity to determine the best strategic maintenance management to manage hemodialysis medical equipment in the hospitals. The results will provide an opportunity to technical engineers to develop a predictive and intelligent management system in the hospitals to minimize or remove the Mean Downtime (MDT) and Mean time to repair (MTTR) for a failed hemodialysis machines and improve the reliability of the hemodialysis machine.

Published in	Industrial Engineering (Volume 2, Issue 1)
DOI	10.11648/j.ie.20180201.15
Page(s)	34-41
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2018. Published by Science Publishing Group

Keywords

Health Facilities, Maintenance, Medical Equipment

References

[1]	Jan Sternby, “Adaptive Control of Ultrafiltration,” IEEE Transactions on Control Systems Technology, vol. Vol. 4, pp. pp 11–17, 1996.
[2]	Madhukar MISRA, “The basics of hemodialysis equipment,” Hemodialysis International, vol. 9, pp 30–36, 2005.
[3]	Jzsef Klespitz, Levente Kovcs, “Peristaltic pumps a review on working and control possibilities,” in SAMI 2014 IEEE 12th International Symposium on Applied Machine Intelligence and Informatics Herlany, Slovakia, January 23-25, 2014.
[4]	K. R. Peter Rhys Lewis and C. Gagg, Forensic Materials Engineering: case studies. CRC Press LLC, 2004.
[5]	Ahmad Taher Azar, “The influence of maintenance quality of hemodialysis machines on Hemodialysis efficiency.” Saudi Journal of Kidney Diseases and Transplantation, vol. vol. 20(1), pp 49 – 56, 2009.
[6]	Jzsef Klespitz, Levente Kovcs, “Identification and control of peristaltic pumps in hemodialysis machines,” in CINTI 2013 14th IEEE International Symposium on Computational Intelligence and Informatics 1921 November, 2013 Budapest, Hungary, 1921 November, 2013.
[7]	Jzsef Klespitz, Mrta Takcs, Imre Rudas and Levente Kovcs, “Adaptive soft computing methods for control of hemodialysis machine,” in Proceedings of fuzzy 2014, Kaohsiung, Taiwan, Nov. 26-28, 2014, Nov. 26-28, 2014.
[8]	Isaiah Lucheli, “Kidney patientssue State over lack of dialysis machines,” tech. rep., Standard Media, https://www.standardmedia.co.ke/article/2000082436/kidney-patients-sue-state-over-lack-of-dialysis-machines, April 2013.
[9]	Khalaf AB., “Maintenance model for minimizing risk and optimizing cost effectiveness of medical equipment in Palestine.” Journal of Clinical Engineering, vol. 14, pp. 3649–3653, 2004.
[10]	Sawsan Mekki, Manal Abdel Wahed, Khaled K. Wahba, Bassem K. Ouda, “A System Dynamics Based Model for Medical Equipment Maintenance Procedure Planning in Developing Countries,” in Cairo International Biomedical Engineering Conference (CIBEC) Cairo, Egypt, 2012.
[11]	Malek Masmoudi, Zeineb Ben Houria, Ahmad Al Hanbali, and Faouzi Masmoudi, “Decision Support Procedure for Medical Equipment Maintenance Management,” Journal of Clinical Engineering, vol. Volume 41, pp. 19–29, January/March 2016.
[12]	Afshin Jamshidi, Samira Abbasgholizadeh Rahimi, Daoud Ait-kadi, “Medical devices Inspection and Maintenance; A Literature Review,” in Proceedings of the Industrial and Systems Engineering Research Conference Y. Guan and H. Liao, eds., 2014.
[13]	Keil, O. R., “Unnecessary Preventative Maintenance: Its Effect on Opportunity Costs,” Journal of Clinical Engineering 33(1): 8, vol. (33)1, p. 8, 2008.
[14]	Ali M. Abdo, Manal Abdel Wahed, Amr Sharawi, “Dynamic Model for Evaluation of Medical Devices Maintenance in Developing Countries,” International Journal of Application or Innovation in Engineering & Management (IJAIEM), vol. 3, pp. ISSN 2319 – 4847, 2014.
[15]	Cynthia Olotch, “Managed Equipment Services (MES) - Healthcare for Sustainable Development: The Kenya MES experience,” tech. rep., 2018.
[16]	N. S. Arunraj, J. Maiti,, “Risk-based maintenance Techniques and applications,” Journal of Hazardous Materials, vol. 142, pp. 653–661, 2007.
[17]	M. C. ETI, S. O. T. Ogaji, S. D. Probert, “Development and implementation of preventive-maintenance practices in Nigerian industries,” Applied Energy, vol. 83, pp. 1163–1179, 2006.
[18]	Ridgway. M, “Manufacturer-recommendation PM intervals: is it time for a change,” Biomedical Instrumentation & Technology, vol. 43, pp. 498– 500, 2009.
[19]	Wang B and Levenson A, “ Equipment inclusion criteria a new interpretation of JCAHOs medical equipment management standard.” J Clin Eng 25(1): 2635, vol. 25(1), pp. 26–35, 2000.
[20]	Wang, B., A Practicum for Biomedical Engineering and Technology Management Issue. Kendall Hunt Publishing, 2008.
[21]	James Herbert, “Optimization of Clinical Engineering in Private Health-care,” in 20th Congress of the International Federation of Hospital Engineering Barcelona, 19 to 22 October 2008.
[22]	G. Ettaye, A. El Barkany and A. El Khalfi, “A review of integrated production and preventive maintenance planning models for multi-state systems,” IEEE Transactions on Reliability, vol. 59(3), pp. 496–506, 2010.
[23]	Uday Kumar, Diego Galar, Aditya Parida and Christer Stenstro, “Maintenance performance metrics: a state-of-the-art review,” Journal of Quality in Maintenance Engineering, vol. 19, pp. 233–277, 2013.
[24]	Ahmad Azar, Khaled Wahba, Abdalla Mohamed, “System Dynamics Highlights the Effect of Maintenance on Hemodialysis Performance,” in 25 International Conference of the System Dynamics Society 2007, pp. 242–261, 2007.
[25]	H. Mahfoud, A. El Barkany, and A. El Biyaali, “Preventive Maintenance Optimization in Healthcare omain: Status of Research and Perspective,” Journal of Quality and Reliability Engineering, vol. 2016, pp. 1– 10, June 2016.
[26]	A. B Khalaf, K. Djouani, Y. Hamam, and Y. Alayli, “Evidence-based mathematical maintenance model for medical equipment,” in International Conference on Electronic Devices, systems and applications, 2010.
[27]	A. B Khalaf, “Maintenance model for minimizing risk and optimizing cost-effectiveness of medical equipment in Palestine.” Journal Clinical Engineering., vol. 14, 2004.
[28]	PerOlof Bengtsson & Jan Bosch, “Architecture Level Prediction of Soft-ware Maintenance,” in In Proceedings of Third European Conference on Software Maintenance and Re-Engineering, Amsterdam, Netherlands, pp 139–147, March 1999.
[29]	Ali Azadeh and Saeed Abdolhossein Zadeh, “An integrated fuzzy analytic hierarchy process and Fuzzy multiple-criteria decision-making simulation approach for maintenance policy selection,” Transactions of the Society for Modeling and Simulation International, vol. 92(1), pp. 3– 18, 2016.
[30]	O’ Connor, Patrick D. T, Practical Reliability Engineering. Wiley Chichester, 4 ed., 2002.
[31]	Alsyouf, Imad, Cost Effective Maintenance for competitive Advantages No. 33, Intellectual Docusys, Goteborg, Sweden, 2004.
[32]	Bevilacqua, M. and Braglia, M., “The analytic hierarchy process applied to maintenance strategy selection 70 (1), pp 71-83.,” Reliability Engineering and System Safety, vol. 70(1), pp. 71–83, 2000.
[33]	Zeineb Ben Houria, M. Besbes, B. Elaoud, M. Masmoudi and Faouzi Masmoudi, “Maintenance strategy selection for medical equipment using fuzzy multiple criteria decision making approach,” in CIE45 Proceedings, 28-30 October 2015.
[34]	R. C. Ratnayake and T. Markeset, “Methodology and theory: Technical integrity management: Measuring HSE awareness using AHP in selecting a maintenance strategy,” Journal of Quality in Maintenance Engineering, vol. 16(1), pp. 44–63, 2010.
[35]	Wang L, Chu J and Wu J., “Selection of optimum maintenance strategies based on a fuzzy analytic hierarchy process.” International Journal of Production Economics, vol. 107, pp. 151–163, 2007.
[36]	Zeineb Ben Houria, Malek Masmoudi, Ahmad Al Hanbali, Ikram Khatrouch and Faouzi Masmoudi,“Quantitative techniques for medical equipment maintenance management,” European Journal of Industrial Engineering, vol. x, no. x, xxxx, January 2017.
[37]	Siew-Hong, Ding and Shahrul Kamaruddin, “Selection of Optimal Maintenance Policy by Using Fuzzy Multi Criteria Decision Making Method,” in Proceedings of the 2012 International Conference on Industrial Engineering and Operations Management Istanbul, Turkey, July 3 6 2012.
[38]	Fouladgar MM, Yazdani-Chamzini A, Lashgari A, et al., “Maintenance strategy selection using AHP and COPRAS under fuzzy environment.” International Journal of Strategic Property Management, vol. 16, pp. 85–104, 2012.
[39]	Al-Najjar B and Alsyouf I., “Selecting the most efficient maintenance approach using Fuzzy Multiple Criteria Decision Making,” International Journal of Production Economics, vol. 84, pp. 85–100, 2003.
[40]	Castro IT, Barros A and Grall A. , “ Age-based preventive maintenance for passive components submitted to stress corrosion cracking.” Mathematical and Computer Modelling, vol. 54, p. 598-609, 2011.
[41]	Huynh KT, Castro IT, Barros A, et al., “Modeling age-based maintenance strategies with minimal repairs for systems subject to competing failure modes due to degradation and shocks.” European Journal of Operational Research, vol. 218, pp. 140–151, 2012.
[42]	Marseguerra M, Zio E and Podofillini L., “ Condition-based maintenance optimization by means of Genetic Algorithms and Monte Carlo Simulation. ,” Reliability Engineering & System Safety, vol. 77, pp. 151–165, 2002.
[43]	Bashiri M, Badri H and Hejazi TH., “Selecting optimum maintenance strategy by Fuzzy Interactive Linear Assignment method.” Applied Mathematical Modelling, vol. 35, pp. 152–164, 2011.
[44]	Jafari A, Jafarian M, Zareei A, et al. , “Using fuzzy Delphi method in maintenance strategy selection problem. ,” Journal of uncertain systems, vol. 2, pp. 289–298, 2008.
[45]	M K Tiwari, Y Dashora, S Kumar and R Shankar, “Ant colony optimization to select the best rocess plan in an automated manufacturing environment,” Journal of Engineering Manufacture, vol. 220, pp. 1457– 1472, 2006.
[46]	Ahmad Taher Azar, and Khaled M. Wahba, “Biofeedback Control of Ultrafiltration for Prevention of Hemodialysis Induced Hypotension,” in Proceedings of the 26th International Conference of the System Dynamics Society, Athens, Greece, July 20 24, 2008.
[47]	Ahmad Taher Azar, and D. Khaled M. Wahba., “Association between Neural Network and System Dynamics to Predict Dialysis Dose during Hemodialysis.” in Proceedings of the 26th International Conference of the System Dynamics Society, Athens, Greece, July 20 24, 2008.
[48]	Mochammad Chaerul, Masaru Tanaka, Ashok V. Shekdar, “A system dy-namics approach for hospital waste management.” Waste Management, vol. 28, pp. 442–449, 2008.

Cite This Article

Plain Text BibTeX RIS

APA Style

David Malombe Mutia, Lawrence Mukhongo, Peter Chemweno. (2018). Review in Maintenance Strategies for Haemodialysis Machine in Healthcare Facilities. Industrial Engineering, 2(1), 34-41. https://doi.org/10.11648/j.ie.20180201.15

Copy | Download

ACS Style

David Malombe Mutia; Lawrence Mukhongo; Peter Chemweno. Review in Maintenance Strategies for Haemodialysis Machine in Healthcare Facilities. Ind. Eng. 2018, 2(1), 34-41. doi: 10.11648/j.ie.20180201.15

Copy | Download

AMA Style

David Malombe Mutia, Lawrence Mukhongo, Peter Chemweno. Review in Maintenance Strategies for Haemodialysis Machine in Healthcare Facilities. Ind Eng. 2018;2(1):34-41. doi: 10.11648/j.ie.20180201.15

Copy | Download

@article{10.11648/j.ie.20180201.15,
  author = {David Malombe Mutia and Lawrence Mukhongo and Peter Chemweno},
  title = {Review in Maintenance Strategies for Haemodialysis Machine in Healthcare Facilities},
  journal = {Industrial Engineering},
  volume = {2},
  number = {1},
  pages = {34-41},
  doi = {10.11648/j.ie.20180201.15},
  url = {https://doi.org/10.11648/j.ie.20180201.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ie.20180201.15},
  abstract = {Hemodialysis machines are critical medical equipment in healthcare facilities for renal replacement therapy in form of dialysis treatment on solving chronic kidney diseases in Sub Sahara Africa. It is a vital machine which acts as human kidney by incorporating electromechanical controlled extracorporeal blood paths that leverage pumps and semi permeable dialyzer membranes to filter the patient’s blood. The biggest challenge to the biomedical engineers in most African hospitals is to maintain the manufacturer’s safety and performance specification of the haemodialysis equipment. There is a need for effective maintenance strategy for haemodialysis medical equipment in order to maintain the manufacturer’s set specification to meet clinical expectations and hence improve its reliability. The overall goal of the research paper is therefore to analyze the influence of different maintenance strategies and subsequently improve on the reliability of hemodialysis equipment in healthcare institutions in Kenya. The research will prioritize hemodialysis machine as critical medical equipment and use comprehensive secondary data to review and analyze the strategic maintenance applied in health institutions to optimize the best and cost effective strategic maintenance for the hemodialysis medical equipment. The ant colony optimization (ACO) algorithms may be less expert reliant and avoid uncertainty and ambiguity to determine the best strategic maintenance management to manage hemodialysis medical equipment in the hospitals. The results will provide an opportunity to technical engineers to develop a predictive and intelligent management system in the hospitals to minimize or remove the Mean Downtime (MDT) and Mean time to repair (MTTR) for a failed hemodialysis machines and improve the reliability of the hemodialysis machine.},
 year = {2018}
}

Copy | Download

TY  - JOUR
T1  - Review in Maintenance Strategies for Haemodialysis Machine in Healthcare Facilities
AU  - David Malombe Mutia
AU  - Lawrence Mukhongo
AU  - Peter Chemweno
Y1  - 2018/10/30
PY  - 2018
N1  - https://doi.org/10.11648/j.ie.20180201.15
DO  - 10.11648/j.ie.20180201.15
T2  - Industrial Engineering
JF  - Industrial Engineering
JO  - Industrial Engineering
SP  - 34
EP  - 41
PB  - Science Publishing Group
SN  - 2640-1118
UR  - https://doi.org/10.11648/j.ie.20180201.15
AB  - Hemodialysis machines are critical medical equipment in healthcare facilities for renal replacement therapy in form of dialysis treatment on solving chronic kidney diseases in Sub Sahara Africa. It is a vital machine which acts as human kidney by incorporating electromechanical controlled extracorporeal blood paths that leverage pumps and semi permeable dialyzer membranes to filter the patient’s blood. The biggest challenge to the biomedical engineers in most African hospitals is to maintain the manufacturer’s safety and performance specification of the haemodialysis equipment. There is a need for effective maintenance strategy for haemodialysis medical equipment in order to maintain the manufacturer’s set specification to meet clinical expectations and hence improve its reliability. The overall goal of the research paper is therefore to analyze the influence of different maintenance strategies and subsequently improve on the reliability of hemodialysis equipment in healthcare institutions in Kenya. The research will prioritize hemodialysis machine as critical medical equipment and use comprehensive secondary data to review and analyze the strategic maintenance applied in health institutions to optimize the best and cost effective strategic maintenance for the hemodialysis medical equipment. The ant colony optimization (ACO) algorithms may be less expert reliant and avoid uncertainty and ambiguity to determine the best strategic maintenance management to manage hemodialysis medical equipment in the hospitals. The results will provide an opportunity to technical engineers to develop a predictive and intelligent management system in the hospitals to minimize or remove the Mean Downtime (MDT) and Mean time to repair (MTTR) for a failed hemodialysis machines and improve the reliability of the hemodialysis machine.
VL  - 2
IS  - 1
ER  -

Copy | Download

Author Information

David Malombe Mutia

Department of Medical Engineering, Technical University of Mombasa, Mombasa, Kenya
Lawrence Mukhongo

Department of Electrical Engineering, Technical University of Mombasa, Mombasa, Kenya
Peter Chemweno

Department of Mechanical Engineering, Moi University, Eldoret, Kenya

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

David Malombe Mutia, Lawrence Mukhongo, Peter Chemweno. (2018). Review in Maintenance Strategies for Haemodialysis Machine in Healthcare Facilities. Industrial Engineering, 2(1), 34-41. https://doi.org/10.11648/j.ie.20180201.15

Copy | Download

ACS Style

David Malombe Mutia; Lawrence Mukhongo; Peter Chemweno. Review in Maintenance Strategies for Haemodialysis Machine in Healthcare Facilities. Ind. Eng. 2018, 2(1), 34-41. doi: 10.11648/j.ie.20180201.15

Copy | Download

AMA Style

David Malombe Mutia, Lawrence Mukhongo, Peter Chemweno. Review in Maintenance Strategies for Haemodialysis Machine in Healthcare Facilities. Ind Eng. 2018;2(1):34-41. doi: 10.11648/j.ie.20180201.15

Copy | Download

@article{10.11648/j.ie.20180201.15,
  author = {David Malombe Mutia and Lawrence Mukhongo and Peter Chemweno},
  title = {Review in Maintenance Strategies for Haemodialysis Machine in Healthcare Facilities},
  journal = {Industrial Engineering},
  volume = {2},
  number = {1},
  pages = {34-41},
  doi = {10.11648/j.ie.20180201.15},
  url = {https://doi.org/10.11648/j.ie.20180201.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ie.20180201.15},
  abstract = {Hemodialysis machines are critical medical equipment in healthcare facilities for renal replacement therapy in form of dialysis treatment on solving chronic kidney diseases in Sub Sahara Africa. It is a vital machine which acts as human kidney by incorporating electromechanical controlled extracorporeal blood paths that leverage pumps and semi permeable dialyzer membranes to filter the patient’s blood. The biggest challenge to the biomedical engineers in most African hospitals is to maintain the manufacturer’s safety and performance specification of the haemodialysis equipment. There is a need for effective maintenance strategy for haemodialysis medical equipment in order to maintain the manufacturer’s set specification to meet clinical expectations and hence improve its reliability. The overall goal of the research paper is therefore to analyze the influence of different maintenance strategies and subsequently improve on the reliability of hemodialysis equipment in healthcare institutions in Kenya. The research will prioritize hemodialysis machine as critical medical equipment and use comprehensive secondary data to review and analyze the strategic maintenance applied in health institutions to optimize the best and cost effective strategic maintenance for the hemodialysis medical equipment. The ant colony optimization (ACO) algorithms may be less expert reliant and avoid uncertainty and ambiguity to determine the best strategic maintenance management to manage hemodialysis medical equipment in the hospitals. The results will provide an opportunity to technical engineers to develop a predictive and intelligent management system in the hospitals to minimize or remove the Mean Downtime (MDT) and Mean time to repair (MTTR) for a failed hemodialysis machines and improve the reliability of the hemodialysis machine.},
 year = {2018}
}

Copy | Download

TY  - JOUR
T1  - Review in Maintenance Strategies for Haemodialysis Machine in Healthcare Facilities
AU  - David Malombe Mutia
AU  - Lawrence Mukhongo
AU  - Peter Chemweno
Y1  - 2018/10/30
PY  - 2018
N1  - https://doi.org/10.11648/j.ie.20180201.15
DO  - 10.11648/j.ie.20180201.15
T2  - Industrial Engineering
JF  - Industrial Engineering
JO  - Industrial Engineering
SP  - 34
EP  - 41
PB  - Science Publishing Group
SN  - 2640-1118
UR  - https://doi.org/10.11648/j.ie.20180201.15
AB  - Hemodialysis machines are critical medical equipment in healthcare facilities for renal replacement therapy in form of dialysis treatment on solving chronic kidney diseases in Sub Sahara Africa. It is a vital machine which acts as human kidney by incorporating electromechanical controlled extracorporeal blood paths that leverage pumps and semi permeable dialyzer membranes to filter the patient’s blood. The biggest challenge to the biomedical engineers in most African hospitals is to maintain the manufacturer’s safety and performance specification of the haemodialysis equipment. There is a need for effective maintenance strategy for haemodialysis medical equipment in order to maintain the manufacturer’s set specification to meet clinical expectations and hence improve its reliability. The overall goal of the research paper is therefore to analyze the influence of different maintenance strategies and subsequently improve on the reliability of hemodialysis equipment in healthcare institutions in Kenya. The research will prioritize hemodialysis machine as critical medical equipment and use comprehensive secondary data to review and analyze the strategic maintenance applied in health institutions to optimize the best and cost effective strategic maintenance for the hemodialysis medical equipment. The ant colony optimization (ACO) algorithms may be less expert reliant and avoid uncertainty and ambiguity to determine the best strategic maintenance management to manage hemodialysis medical equipment in the hospitals. The results will provide an opportunity to technical engineers to develop a predictive and intelligent management system in the hospitals to minimize or remove the Mean Downtime (MDT) and Mean time to repair (MTTR) for a failed hemodialysis machines and improve the reliability of the hemodialysis machine.
VL  - 2
IS  - 1
ER  -

Copy | Download