Implementation of Autonomous Maintenance and its Effect on MTBF, MTTR, and Reliability of a Critical Machine in a Beer Processing Plant

Jacob Sawai Ben

Abstract


This research is part of plant reliability improvement program of a beverage manufacturing company that specializes in beer production and packaging. Two months of machine breakdown data gathered showed that the glass bottle filler/crowner had the longest downtime of 96.62 hours and was fast becoming a critical machine. With the plant fully automated, availability of the critical machine became a key issue because breakdowns were more likely to affect production and product quality. To reduce maintenance pressure, autonomous maintenance (AM) was introduced on the bottle filler/crowner as part of total productive maintenance. The aim of the AM program was to optimize machine availability through education and upskilling of shop floor operators to a level where they can take care of minor maintenance jobs on their equipment so that skilled maintenance people can concentrate on value-added tasks and technical repairs. Before implementing AM, the bottle filler/crowner had an average MTBF of 87.42 hours, average MTTR of 1.15 hours, a shift (12 hours) reliability of 87 %, and a complete day (24 hours) reliability of 76 %. After implementing AM for two months, there was a noticeable increase in MTBF to 113.27 hours, a decrease in MTTR to 0.87 hours, and an increase in machine reliability to 90 % and 81 % respectively for 12 and 24 hours operation. The results show that empowering operators in performing autonomous maintenance on their machines is key to detecting equipment failure, reduce breakdown, increase reliability, and improve machine performances.

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References


E.B. Venkatesh, J. (2007). “An introduction to total productive maintenance (TPM)”. Plant Maintenance Resource Center. Retrieved August, 2020 from: http://www.plant-maintenance.com/articles/tpm_intro.shtml (2012-03-23).

S. Enofe, O.M. & G, Aimienrovbiye, (2010). “Maintenance impact on production profitability – a case study”. Master Thesis, Department of Terotechnology, School of Engineering, Linnaeus University.

Z, Habib, & K, Wang. (2008). “Implementation of total productive maintenance on Haldex Assembly Line”. Master Thesis, Department of Production Engineering, Royal Institute of Technology, Sweden.

H, Nieminen. (2016). “Improving maintenance in high-volume manufacturing. Case: Ball beverage packaging Europe”. Master’s Thesis, Lahti University of Applied Sciences.

A, Laquet. (2015). “Maintenance optimization of centrifugal pumps in a European refinery: A case study”. Master Thesis, School of Industrial Engineering and Management, KTH Royal Institute of Technology.

A, Shagluf., A.P. Longstaff, & S. Fletcher. (2014). “Maintenance strategies to reduce downtime due to machine positional errors”. Presented at International Conference on Maintenance Performance Measurement Management, Huddersfield, United Kingdom. (pp. 111 – 118).

S.R. Vijayakumar & S. Gajendran. (2014). “Improvement of overall equipment effectiveness (OEE) in injection moulding process industry”. Journal of Mechanical and Civil Engineering. 47 – 60.

M, Jasiulewicz-Kaczmarek. (2016). “SWOT analysis for planned maintenance strategy – a case study”. International Federation of Automatic Control (IFAC)-PapersOnLine, vol. 49(12), pp. 674 – 679.

G, Fredriksson & H. Larsson. (2012). “An analysis of maintenance strategies and development of a model for strategy formulation – A Case Study”. Master Thesis, Department of Product and Production Development, Chalmers University of Technology.

H, Ab-Samat, L.N. Jeikumar, E.I. Basri, N.A. Hrun, & S. Kamaruddin. (2012). “Effective preventive maintenance scheduling: A case study”. Presented at the International Conference on Industrial Engineering and Operations Management, Istanbul, Turkey. (3 – 6 July).

B. Ghodrati. (2005). “Reliability and operating environment based spare parts planning”. Doctoral Thesis, Division of Operational and Maintenance Engineering, Luleå University of Technology.

R. Tatis de Leon. (2012). "Vibration measurement for rotatory machines – Importance of maintenance practices”. Bachelor’s thesis, HAMK University of Applied Sciences, Finland.

D. Deka & T. Nath. (2015). “Breakdown and reliability analysis in a process industry”. International Journal of Engineering Trends and Technology (IJETT), vol. 28(3), pp. 150 – 156.

E. Kiyak. (2011). “The importance of preventive maintenance in terms of reliability in aviation sector”. Researchgate Publications: Europe. Retrieved June, 2020 from: http://www.researchgate.net/publication/266492733

V. Fridholm. (1992). “Improve maintenance effectiveness and efficiency by using historical breakdown data from a CMMS: Exploring the possibilities for CBM in the manufacturing industry”. Degree Project, School of Innovation, Design and Engineering, Mälardalen University.

Fan, Q. & Fan, H. (2015). “Reliability analysis and failure prediction of construction equipment with time series models”. Journal of Advanced Management Science, vol. 3(3), pp. 203 – 210.




DOI: http://dx.doi.org/10.52155/ijpsat.v31.1.4068

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