Operating Equipment Effectiveness with a Reliability Indicator
Authors: Carl D. Hays III
Abstract:
The purpose of this theory paper is to add a reliability indicator to Operating Equipment Effectiveness (OpEE) which is used to evaluate the productivity of machines and equipment with wheels and tracks. OpEE is a derivative of Overall Equipment Effectiveness (OEE) which has been widely used for many decades in factories that manufacture products. OEE has three variables, Availability Rate, Work Rate, and Quality Rate. When OpEE was converted from OEE, the Quality Rate variable was replaced with Travel Rate. Travel Rate is essentially utilization which is a common performance indicator in machines and equipment. OpEE was designed for machines operated in remote locations such as forests, roads, fields, and farms. This theory paper intends to add the Quality Rate variable back to OpEE by including a reliability indicator in the dashboard view. This paper will suggest that the OEE quality variable can be used with a reliability metric and combined with the OpEE score. With this dashboard view of both performance metrics and reliability, fleet managers will have a more complete understanding of equipment productivity and reliability. This view will provide both leading and lagging indicators of performance in machines and equipment. The lagging indicators will indicate the trends and the leading indicators will provide an overall performance score to manage.
Keywords: Operating Equipment Effectiveness, Operating Equipment Effectiveness, IoT, Contamination Monitoring.
Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 508References:
[1] Chaplin, J. (1986). Improving Vehicle Productivity through Better Contamination Control. SAE Transactions, 95, 154–158. http://www.jstor.org/stable/44470922
[2] Coleridge, S. T. (2009). Biographia Literaria. The Floating Press.
[3] Graça, P., & Camarinha-Matos, L. M. (2017). Performance indicators for collaborative business ecosystems — Literature review and trends. Technological Forecasting and Social Change, 116, pp. 237–255. https://doi.org/10.1016/j.techfore.2016.10.012
[4] Front Boom Sweeper. Superior Broom. (2022, May 24). Retrieved August 15, 2022, from https://superiorbroom.com/
[5] Gilmore, H. L. (1974). The Cost of Product Conformance Quality Control (E-book). Amsterdam University Press E. H. Miller, “A note on reflector arrays (Periodical style—Accepted for publication),” World Academy of Science, Engineering and Technology Trans. Antennas Propagat., to be published.
[6] Hays III, C. (2021). A Method for Monitoring Operating Equipment Effectiveness with the Internet of Things and Big Data. California Polytechnic State University. To be published. https://drive.google.com/file/d/1yduvZ35O7edxW7t_4nb9rDbQr-tIilld/view
[7] Hodges, P. (2013). Hydraulic Fluids (E-book). Butterworth-Heinemann. Retrieved August 15, 2022, from https://books.google.com/books?hl=en&lr=&id=CWQlYNrf83kC&oi=fnd&pg=PP1&dq=first+use+of+hydraulic+fluid&ots=dYrrPyOI6J&sig=pXj5fd7bf2LbpjnRfHHDErHC45Q#v=onepage&q=first%20use%20of%20hydraulic%20fluid&f=false
[8] Karmarkar, U. S., & Pitbladdo, R. C. (1997). Quality, Class, and Competition. Management Science, 43(1), pp. 27–39. https://doi.org/10.1287/mnsc.43.1.27
[9] Lisbeth del Carmen, N. C., Lambán, M. P., Hernandez Korner, M. E., & Royo, J. (2020). Overall Equipment Effectiveness: Systematic Literature Review and Overview of Different Approaches. Applied Sciences, 10(18), 6469. https://doi-org.georgefox.idm.oclc.org/10.3390/app10186469M. Young, The Techincal Writers Handbook. Mill Valley, CA: University Science, 1989. p. 9-12.
[10] Montgomery, D. C., & Woodall, W. H. (2008). An Overview of Six Sigma. International Statistical Review, 76(3), pp. 329–346. https://doi.org/10.1111/j.1751-5823.2008.00061.x
[11] Nakajima, S., & Bodek, N. (1988). Introduction to TPM: Total Productive Maintenance (Preventative Maintenance Series) (English and Japanese Edition) (Eleventh Printing ed.). Productivity Pr.
[12] Nakajima, S. (1989). Tpm Development Program: Implementing Total Productive Maintenance (English and Japanese Edition). Productivity Pr.
[13] Ng, F., Harding, J. A., & Glass, J. (2017). Improving hydraulic excavator performance through in line hydraulic oil contamination monitoring. Mechanical Systems and Signal Processing, 83, pp. 176–193. https://doi.org/10.1016/j.ymssp.2016.06.006
[14] Ore, O. (1960). Pascal and the Invention of Probability Theory. The American Mathematical Monthly, 67(5), 409–419. https://doi.org/10.2307/2309286
[15] R. Smith R. Keith Mobley President and CEO of Integrated Systems Inc. (2022). R. Smith’s R. Keith’s Mobley President and CEO of Integrated Systems Inc.’s Rules of Thumb for Maintenance (Rules of Thumb for Maintenance and Reliability Engineers (Paperback))(2007) (E-book). Butterworth-Heinemann pp. 3-100.
[16] Saleh, J., & Marais, K. (2006). Highlights from the early (and pre-) history of reliability engineering. Reliability Engineering & System Safety, 91(2), pp. 249–256. https://doi.org/10.1016/j.ress.2005.01.003
[17] Sauter, R. M., & Montgomery, D. C. (1992). Introduction to Statistical Quality Control. Technometrics, 34(2), 232. https://doi.org/10.2307/1269251
[18] Shewhart, W. A., & Deming, W. E. (1986). Statistical method from the viewpoint of quality control. Courier Corporation. https://scholar-google-com.georgefox.idm.oclc.org/scholar_lookup?hl=en&publication_year=1939&author=W.+A.+Shewhart&title=+Statistical+method+from+the+viewpoint+of+quality+control+
[19] Tan Delta Systems. Real Time Oil Condition Analysis Sensor. (2022, May 24). Tan Delta Systems. Retrieved August 15, 2022, from https://www.tandeltasystems.com/products/oqsx-g2/
[20] Wu, L. (2010). Managing design quality and conformance quality: models and insights. Total Quality Management & Business Excellence, 21(4), 383–389. https://doi.org/10.1080/14783361003606597
[21] Zairi, M. (1991). Total Quality Management for Engineers (1st ed.) (E-book). Woodhead Publishing. https://www-sciencedirect-com.georgefox.idm.oclc.org/book/9781855730243/total-quality-management-for-engineers
[22] Zhang, R. C., Yu, X., Hu, Y. L., Zang, H. J., & Shu, W. (2017). Active control of hydraulic oil contamination to extend the service life of aviation hydraulic system. The International Journal of Advanced Manufacturing Technology, 96(5–8), pp. 1693–1704. https://doi.org/10.1007/s00170-017-0833-9