Analysis of human operators and industrial robots performance and reliability

• Autorzy: Gołda G. , Kampa A. , Paprocka I.

Identyfikatory

DOI

10.24425/119397

• Języki publikacji: EN

Abstrakty

EN

In the article problems related to human labor and factors affecting the increasing use of industrial robots are discussed. Since human factors affect the production processes stability, robots are preferred to apply. The application of robots is characterized by higher performance and reliability comparing to human labor. The problem is how to determine the real difference in work efficiency between human operator and robot. The aim of the study is to develop a method that allows clearly definition of productivity growth associated with the replacement of human labor by industrial robots. Another aim of the paper is how to model robotized and manual operated workstation in a computer simulation software. Analysis of the productivity and reliability of the hydraulic press workstation operated by the human operator or an industrial robot, are presented. Simulation models have been developed taking into account the availability and reliability of the machine, operator and robot. We apply OEE (Overall Equipment Effectiveness) indicator to present how availability and reliability parameters influence over performance of the workstation, in the longer time. Simplified financial analysis is presented considering different labor costs in EU countries.

Słowa kluczowe

EN

human factors; industrial robots; machine reliability; work performance; OEE indicator

• Wydawca: Production Engineering Committee of the Polish Academy of Sciences ; Polish Association for Production Management
• Czasopismo: Management and Production Engineering Review
• Rocznik: 2018
• Tom: Vol. 9, No. 1
• Strony: 24--33
• Opis fizyczny: Bibliogr. 24 poz., rys., tab., wykr.

Twórcy

autor

Gołda G.

• Silesian University of Technology, Institute of Engineering Processes Automation and Integrated Manufacturing Systems, Poland

autor

Kampa A.

• Silesian University of Technology, Institute of Engineering Processes Automation and Integrated Manufacturing Systems, Konarskiego 18a, 44-100 Gliwice, Poland

autor

Paprocka I.

• Silesian University of Technology, Institute of Engineering Processes Automation and Integrated Manufacturing Systems, Poland

Bibliografia

• [1] Shimon Y. Nof, Handbook of industrial robotics, John Wiley & Sons, 1999.
• [2] Hansen R.C., Overall equipment effectiveness (OEE), Industrial Press, 2005.
• [3] Kampa A., Gołda G., Paprocka I., Discrete event simulation method as a tool for improvement of manufacturing systems, Computers, 6, 10, 2017, doi:10.3390/computers6010010.
• [4] Duenas A., Petrovic D., An approach to predictivereactive scheduling of parallel machines subject to disruptions, Ann. Oper. Res., 159, 65–82, 2008.
• [5] Gurel S., Korpeglu E., Akturk M.S., An anticipative scheduling approach with controllable processing times, Computers and Operations Resesarch, 37, 6, 1002–1013, June 2010.
• [6] Paprocka I., Kempa W., Kalinowski K., Grabowik C., A production scheduling model with maintenance, Trans. Tech. Publications, pp. 885–890, 2014 (Advanced Materials Research, 1036, 1662–8985).
• [7] Kempa W., Paprocka I., Kalinowski K., Grabowik C., Estimation of reliability characteristics in a production scheduling model with failures and time-changing parameters described by gamma and exponential distributions, Trans. Tech. Publications, pp. 116–121, 2014 (Advanced Materials Research, 837, 1662–8985).
• [8] Paprocka I., Kempa W., Modeling and simulation of the production system in order to obtain a stable schedule [in Polish: Modelowanie i symulacja systemu produkcyjnego w celu pozyskania stabilnego harmonogramu], Cz. 1, Przegląd Mechaniczny, 72, 2, 28–31, 2013.
• [9] Smith D.J., Reliability, maintainability and risk. Practical methods for engineers, Elsevier, 2005.
• [10] Harriott C.E., Adams J.A., Modeling human performance for human-robot systems, Reviews of Human Factors and Ergonomics, 9, 94, 2013, http://rev.sagepub.com/content/9/1/94.
• [11] Groover M.P., Work systems: the methods, measurement and management of work, Prentice Hall, 2007.
• [12] Baines T., Mason S., Siebers P.O., Ladbrook J., Humans: the missing link in manufacturing simulation?, Simulation Modelling Practice and Theory, 12, 515–526, 2004.
• [13] Woods D.D., Modeling and predicting human error, [in:] J. Elkind, S. Card, J. Hochberg, B. Huey [Eds.], Human performance models for computer-aided engineering, Academic Press, 248–274, 1990.
• [14] Eurostat: Health and safety at work statistics, http://epp.eurostat.ec.europa.eu/statistics_explained/index.php/Health_and_safety_at_work_statistics.
• [15] Hirohisa Sakai Kakuro Amasaka, The robot reliability design and improvement method and the advanced Toyota production system, Industrial Robot: An International Journal, 34, 4, 310–316, 2007.
• [16] Springer Handbook of Robotics, B. Siciliano, O. Khatib [Eds.], Springer, Berlin, 2008.
• [17] Wosik I., Zdonek M., Six sigma system – case study [in Polish: System six sigma – studium przypadku], Komputerowo Zintegrowane Zarządzanie, R. Knosala [Ed.], Oficyna Wydaw. Polskiego Towarzystwa Zarządzania Produkcją, Opole, 2, 669–678, 2010.
• [18] Kampa A., Planning and scheduling of work in robotic manufacturing systems with flexible production, B. Skołud [Ed.], Hueristic Methods of Project and Production Scheduling, Journal of Machine Engineering, 12, 3, 34–44, 2012.
• [19] Kampa A., Analysis of the performance of manual labor and industrial robot work on the example of a computer simulation of a hydraulic press workstation [in Polish: Analiza wydajności pracy ręcznej i pracy robota przemysłowego na przykładzie symulacji komputerowej stanowiska prasy hydraulicznej], Projektowanie i sterowanie procesami, Janczarek M., Świć A. [Eds.], Wydawnictwo Politechniki Lubelskiej, Lublin, 41–50, 2013.
• [20] Praveen Kumar R., Rudramurthy, Analysis of Breakdowns and Improvement of Preventive. Maintenance on 1000 Ton Hydraulic Press, International Journal of Emerging Technology and Advanced Engineering, 3, 8, 636–645, 2013.
• [21] EUROSTAT: Wages and labour costs, http://ec.europa.eu/eurostat/statistics-explained/index.php/Wages_and_labour_costs.
• [22] Pires J.N., Productive robotics in Europe: evolution, trends and challenges, Industrial Robot: An International Journal, 38, 1, 2011, http://www.emeraldinsight.com/journals.htm?issn=0143-991x&volume=38&issue=1&articleid=1901432&show=html.
• [23] Motion Control Robotics, Range of robot costs, http://motioncontrolsrobotics.com/range-robot-cost/.
• [24] Kampa A., Economic conditions of robotization of production processes [in Polish: Ekonomiczne uwarunkowania robotyzacji procesów produkcyjnych], Zarządzanie Przedsiębiorstwem, 3, 27–33, 2014.

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).