RESEARCH PAPER
Methodology of overall equipment effectiveness calculation in the context of Industry 4.0 environment
1
Department for Quality and Dependability of Machines, Faculty of Engineering, Czech University of Life Sciences Prague Kamycka 129, 165 00 Prague 6 – Suchdol, Czech Republic
2
Department of Mathematics Faculty of Engineering, Czech University of Life Sciences Prague Kamycka 129, 165 00 Prague 6 – Suchdol, Czech Republic
Publication date: 2019-09-30
Eksploatacja i Niezawodność – Maintenance and Reliability 2019;21(3):411-418
KEYWORDS
ABSTRACT
Industry 4.0 and related Maintenance 4.0 demand higher requirement for productivity and maintenance effectiveness. Nakajim’s
OEE indicator still plays an important role in measuring effectiveness of production and maintenance. In connection with the current Industry 4.0 challenge, the issue of Industrial Internet of Things (IIoT) is highly accentuated. This topic includes the matter of
autonomous management and communication of individual machines and equipment within higher and more complex production
units. Authors propose original calculations OEE for the whole production line from OEE knowledge and individual machines,
including knowledge of their nominal and actual performance. The presented solution allows a greater depth of analysis of machine efficiency and overall effectiveness calculation of different assembled production lines based on knowledge of individual
machines efficiencies
REFERENCES (32)
1.
Al-Najjar B. Condition-based Maintenance: Selection and Improvement of a Cost effective Vibration-based Policy for Rolling Element Bearing, Ph.D. dissertation, Department of Engineering, Lund University, Lund, Sweden 1997.
2.
Ales Z, Jurca V, Legat V. Effectiveness indicators of food processing lines. In: Conference Proceeding - 5th International Conference Trends in Agricultural Engineering 2013. Prague, Czech Republic: Czech University of Life Sciences Prague; Faculty of Engineering 2013; 56-61.
3.
Antosz K, Stadnicka D. Evaluation measures of machine operation effectiveness in large enterprises: study results. Eksploatacja i Niezawodnosc – Maintenance and Reliability 2015; 17(1): 107-117, https://doi.org/10.17531/ein.2....
4.
Braglia M, Frosolini M, Zammori, F. Overall equipment effectiveness of a manufacturing line (OEEML): an integrated approach to assess systems performance. Journal of Manufacturing Technology Management 2009; 20 (1): 8–29, https://doi.org/10.1108/174103....
5.
Coit W, Smith E A. Reliability Optimization of Series–Parallel Systems Using a Genetic Algorithm. IEEE Transactions on Reliability 1996; 45(2), https://doi.org/10.1109/24.510....
6.
Colledani M, Tolio T, Fischer A, Iung B, Lanza G, Schmitt R, Vancza J. Design and management of manufacturing systems for production quality. CIRP Annals 2014; 63(2): 773–796, https://doi.org/10.1016/j.cirp....
7.
Ding Z, Yingiie Z, Mingrang Y, Yun C. Reliability evaluation and component importance measure for manufacturing systems based on failure losses. Journal of Intelligent Manufacturing 2017; 28(8): 1859–1869, https://doi.org/10.1007/s10845....
8.
Drozyner P, Mikolajczak P. Assessment of the effectiveness of machine and device operation. Eksploatacja i Niezawodnosc – Maintenance and Reliability 2007; 3(35):72-75.
9.
Duran O, Capaldo A, Acevedo P A D. Sustainable Overall Throughputability Effectiveness (S.O.T.E.) as a Metric for Production Systems. Sustainability 2018; 10(2): 1-15, https://doi.org/10.3390/su1002....
10.
Gulati R, Smith R. Maintenance and Reliability Best Practices. New York: Industrial Press, 2009.
11.
Gola A, Nieoczym A. Application of OEE Coefficient for Manufacturing Lines Reliability Improvement. In Proceedings of the 4th International Conference on Management Science and Management Innovation (MSMI 2017), Advances in Economics, Business and Management Research 2017; 31: 189-194.
12.
Hartmann E. Successfully installing TPM in a non-Japanese plant: total productive maintenance. Pittsburgh, 1992.
13.
Kuo W, Wan R. Recent advances in optimal reliability allocation. IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans 2007; 37(2): 143–156, https://doi.org/10.1109/TSMCA.....
14.
Legat V, Zaludova A H, Cervenka V, Jurca V, Contribution to optimization of preventive replacement. Reliability Engineering and System Safety 1996; 51: 259 – 266, https://doi.org/10.1016/0951-8....
15.
Malindzak D, Pacana A, Pacaiova H. An effective model for the quality of logistics and improvement of environmental protection in a cement plant. Przemysł Chemiczny 2017; 96(9): 1958–1962.
16.
Mariano C, Kuri-Morales A. Complex componential approach for redundancy allocation problem solved by simulation optimization framework. Journal of Intelligent Manufacturing 2014; 25(4): 661–680, https://doi.org/10.1007/s10845....
17.
Midor K, Kucera M. Improving the service with the servqual method. Management systems in production engineering 2018; 26(1): 60–65.
18.
Murugaiah U S. The use of 5-WHYs technique to eliminate OEE’s speed loss in a manufacturing firm. Journal of Quality in Maintenance Engineering 2015; 21(4): 419 – 435, https://doi.org/10.1108/JQME-0....
19.
Muthiah K M N, Huang S H. Overall throughput effectiveness (OTE) metric for factory-level performance monitoring and bottleneck detection. International Journal of Production Research 2007; 45(20): 4753–4769, https://doi.org/10.1080/002075....
20.
Nachiappan M, Anantharam N. Evaluation of overall line effectiveness (OLE) in a continuous product line manufacturing system. Journal of Manufacturing Technology Management 2006; 17(7): 987–1008, https://doi.org/10.1108/174103....
22.
Oechsner R, Pfeffer M, Pfitzner L, Binder H, Müller E, Vonderstrass T. From overall equipment efficiency (OEE) to overall fab effectiveness (OFE). Material Science in Semiconductor Processing 2003; 5(4): 333-339.
23.
Pacaiova H, Sinay J, Turisova R, Hajduova Z, Markulik S. Measuring the qualitative factors on copper wire surface. Measurement 2017; 109: 359-365, https://doi.org/10.1016/j.meas....
24.
Pexa M, Muller M, Hloch S. Dynamic measuring of performance parameters for vehicles engines. Measurement 2017; 111: 11-17, https://doi.org/10.1016/j.meas....
25.
Puvanasvaran A, Perumal I, Teruaki T Y S, Yoong S S. Examination of Overall Equipment Effectiveness (OEE) in Term of Maynard's Operation Sequence Technique (MOST). American Journal of Applied Sciences 2016; 13(11): 1214-1220, https://doi.org/10.3844/ ajassp.2016.1214.1220.
26.
Reyes J A G, et al. Overall equipment effectiveness (OEE) and process capability (PC) measures: A relationship analysis. International Journal of Quality & Reliability Management 2010; 27(1):48–62, https://doi.org/10.1108/026567....
27.
Rocco S C M, Ramirez-Marquez J E. Innovative approaches for addressing old challenges in component importance measures. Reliability Engineering and System Safety 2012; 108: 123–130, https://doi.org/10.1016/j.ress....
28.
Scott D, Pisa R. Can overall factory effectiveness prolong Moore's Law?,Solid state technology 1998; 41(3): 75–82.
29.
Sherwin D. A review of overall models for maintenance management. Journal of Quality in Maintenance Engineering 2000; 6(3): 138–164, https://doi.org/10.1108/135525....
30.
Sheikh A F. Overall equipment effectiveness of tyre curing press: a case study. Journal of Quality in Maintenance Engineering 2017; 23(1): 39-56, https://doi.org/10.1108/JQME-0....
31.
Starr A F. Evaluation of overall equipment effectiveness based on market. Journal of Quality in Maintenance Engineering 2010; 16(3): 256–270, https://doi.org/10.1108/135525....
32.
Tsarouhas P. Implementation of total productive maintenance in food industry: a case study. Journal of Quality in Maintenance Engineering 2007; 13(1): 5–8, https://doi.org/10.1108/135525....
CITATIONS (16):
2.
Measuring the production performance indicators for food processing industry
Hamzeh Soltanali, Mehdi Khojastehpour, Farinha Torres
Measurement
Hamzeh Soltanali, Mehdi Khojastehpour, Farinha Torres
Measurement
3.
Ways of improvement of technological equipment performance
M. Smirnov, G. Abdilova
Theory and practice of meat processing
M. Smirnov, G. Abdilova
Theory and practice of meat processing
4.
Overall Equipment Effectiveness: Systematic Literature Review and Overview of Different Approaches
Corrales Ng, María Lambán, Korner Hernandez, Jesús Royo
Applied Sciences
Corrales Ng, María Lambán, Korner Hernandez, Jesús Royo
Applied Sciences
5.
Enhance of OEE by hybrid analysis at the automotive semi-automatic assembly lines
Péter Dobra, János Jósvai
Procedia Manufacturing
Péter Dobra, János Jósvai
Procedia Manufacturing
6.
Application of Logistic Regression for Production Machinery Efficiency Evaluation
Anna Borucka, Małgorzata Grzelak
Applied Sciences
Anna Borucka, Małgorzata Grzelak
Applied Sciences
7.
Lubricant Analysis as the Most Useful Tool in the Proactive Maintenance Philosophies of Machinery and its Components
Marián Kučera, Silvia Kopčanová, Marie Sejkorová
Management Systems in Production Engineering
Marián Kučera, Silvia Kopčanová, Marie Sejkorová
Management Systems in Production Engineering
9.
Predicting IoT failures with Bayesian workflow
Jerzy Baranowski
Eksploatacja i Niezawodnosc - Maintenance and Reliability
Jerzy Baranowski
Eksploatacja i Niezawodnosc - Maintenance and Reliability
10.
A comparative study of overall equipment effectiveness measurement systems
Fatma Kechaou, Sid-Ali Addouche, Marc Zolghadri
Production Planning & Control
Fatma Kechaou, Sid-Ali Addouche, Marc Zolghadri
Production Planning & Control
11.
Scalability analysis of selected structures of a reconfigurable manufacturing
system taking into account a reduction in machine tools reliability
Arkadiusz Gola, Zbigniew Pastuszak, Marcin Relich, Łukasz Sobaszek, Eryk Szwarc
Eksploatacja i Niezawodnosc - Maintenance and Reliability
Arkadiusz Gola, Zbigniew Pastuszak, Marcin Relich, Łukasz Sobaszek, Eryk Szwarc
Eksploatacja i Niezawodnosc - Maintenance and Reliability
12.
Towards a generic framework of OEE monitoring for driving effectiveness in digitalization era
Zineb MOUHIB, Maryam GALLAB, Safae MERZOUK, Aziz SOULHI, Brahim ELBHIRI
Procedia Computer Science
Zineb MOUHIB, Maryam GALLAB, Safae MERZOUK, Aziz SOULHI, Brahim ELBHIRI
Procedia Computer Science
13.
Advances in Manufacturing IV
Jan Dąbrowski, Tomasz Bartkowiak, Piotr Wierzchowski, Dariusz Dąbrowski
Jan Dąbrowski, Tomasz Bartkowiak, Piotr Wierzchowski, Dariusz Dąbrowski
14.
Digital Performance Management: An Evaluation of Manufacturing Performance Management and Measurement Strategies in an Industry 4.0 Context
Nathaniel David Smith, Yuri Hovanski, Joe Tenny, Sebastian Bergner
Machines
Nathaniel David Smith, Yuri Hovanski, Joe Tenny, Sebastian Bergner
Machines
15.
Development and Validation of Concept of Innovative Method of Computer-Aided Monitoring and Diagnostics of Machine Components
Krzysztof Herbuś, Andrzej Dymarek, Piotr Ociepka, Tomasz Dzitkowski, Cezary Grabowik, Kamil Szewerda, Katarzyna Białas, Zbigniew Monica
Applied Sciences
Krzysztof Herbuś, Andrzej Dymarek, Piotr Ociepka, Tomasz Dzitkowski, Cezary Grabowik, Kamil Szewerda, Katarzyna Białas, Zbigniew Monica
Applied Sciences
16.
WAYS TO IMPROVE THE EFFICIENCY OF TECHNOLOGICAL EQUIPMENT
G. Abdilova, Zh. Sergibaeva, B. Kabulov, A. Bayadilova, B. Lobasenko
Bulletin of Shakarim University. Technical Sciences
G. Abdilova, Zh. Sergibaeva, B. Kabulov, A. Bayadilova, B. Lobasenko
Bulletin of Shakarim University. Technical Sciences
Share
RELATED ARTICLE
| eISSN: | 2956-3860 |
| ISSN: | 1507-2711 |
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
