Assessment methods of production processes reliability – state of the art

• Autorzy: Werbińska-Wojciechowska S. , Chlebus M.

Warianty tytułu

PL

Metody oceny niezawodnościowej procesów produkcyjnych – stan wiedzy

• Języki publikacji: EN PL

Abstrakty

EN

In the paper, authors focus on a problem of reliable performance of production processes. Reliability analyses of production systems regard considering many different factors and requirements. As a result, the paper discusses the basic definitions from the area of production engineering and reliability theory. Based on the literature research, there is proposed a basic classification of methods for production processes reliability assessment. Later, authors focus on the development of a multidimensional approach to production process reliability assessment. The work ends up with summary and directions for further research.

PL

W artykule autorzy skupili się na problemie niezawodności procesów produkcyjnych. Analizy niezawodnościowe procesów produkcyjnych wymagają uwzględnienia wielu różnych czynników oraz uwarunkowań. W związku z tym, w pracy omówiono podstawowe pojęcia z obszaru inżynierii produkcji oraz teorii niezawodności. W oparciu o badania literaturowe, zaproponowano podstawową klasyfikację metod oceny niezawodnościowej procesów produkcyjnych. Następnie skupiono się na przedstawieniu nowego wielowymiarowego podejścia do oceny niezawodnościowej procesów produkcyjnych. Pracę kończy podsumowanie oraz wskazanie dalszych kierunków prac badawczych.

Słowa kluczowe

EN

production process; reliability assessment; literature review

PL

proces produkcyjny; ocena niezawodnościowa; przegląd literatury

• Wydawca: Wydawnictwo Instytutu Technicznego Wojsk Lotniczych
• Czasopismo: Journal of KONBiN
• Rocznik: 2017
• Tom: No. 41
• Strony: 247--276
• Opis fizyczny: Bibliogr. 58 poz., tab., rys.

Twórcy

autor

Werbińska-Wojciechowska S.

• Wroclaw University of Technology, Politechnika Wrocławska

autor

Chlebus M.

• Wroclaw University of Technology, Politechnika Wrocławska

Bibliografia

• [1] Aalipour M., Ayele Y.Z., Barabadi A.: Human reliability assessment (HRA) in maintenance of production process: a case study, International Journal of System Assurance Engineering and Management, vol. 7, Issue 2, 2016, 229-238.
• [2] Absjornslett B.E.: Assess the vulnerability of your production system, Production Planning and Control, vol. 10, no. 3, 1999, 219-229.
• [3] Adela-Eliza D., Simona D.: Products reliability assessment using Monte Carlo simulation, International Journal of Systems Applications, Engineering and Development, vol. 5, issue 5, 2011, 658-665.
• [4] Behun M., Kleinova J., Kamaryt T.: Risk assessment of non-repetitive production process, Procedia Engineering, vol. 69, 2014, 1281-1285.
• [5] Bell J., Holroyd J.: Review of human reliability assessment methods, RR679 Research Report, Health and Safety Executive, 2009.
• [6] Chakraborty S., Ankiah B.: Assessment of manufacturing system reliability: a case study, Journal of Operational Research Society, Vol. 40, No. 1, 1989, 55-63.
• [7] Chen Y., Jin J.: Quality-reliability chain modeling for system-reliability analysis of complex manufacturing process, IEEE Transactions on Reliability, vol. 54, no. 3, 2005, 475-488.
• [8] Chlebus M., Werbińska-Wojciechowska S.: Issues on production process reliability assessment – review. Artykuł przyjęty do druku w czasopiśmie Research in Logistics and Production.
• [9] Dai W., Maropoulos P.G., Zhao Y.: Reliability modelling and verification of manufacturing processes based on process knowledge management, International Journal of Computer Integrated Manufacturing, Vol. 28, No. 1, 2015, 98-111.
• [10] Dhillon B.S.: Maintainability, Maintenance, and Reliability for Engineers, CRC Press, United States of America, 2006.
• [11] Dhillon B.S.: Reliability, Quality, and Safety for Engineers, CRC Press, United States of America, 2005.
• [12] Di Bona G., Silvestri A., Forcina A., Petrillo A.: Reliability target assessment based on Integrated Factors Method (IFM): a real case study of a sintering plant, Journal of Failure Analysis and Prevention, vol. 16, 2016, 1038-1051.
• [13] DOE-NE-STD-1004-92 – Root Cause Analysis Guidance Document, U.S. Department of Energy, Washington, D.C., 1992.
• [14] Dwiliński L.: Zarządzanie produkcją, Wyd. Politechniki Warszawskiej, Warszawa, 2002.
• [15] Elsayed E.A.: Perspectives and challenges for research in quality and reliability engineering, International Journal of Production Research, Vol. 38, No. 9, 2000, 1953-1976.
• [16] Fertsch M., Grzybowska K., Stachowiak A.: Models of manufacturing systems – classification framework. Research in Logistics and Production, 1(1), 2011, 45-51.
• [17] Głowacka-Fertsch D., Fertsch M.: Zarządzanie produkcją, Wyższa Szkoła Logistyki, Poznań, 2004.
• [18] Haase F.V., Woll R.: Assessment of reliability implementation in manufacturing enterprises, Management and Production Engineering Review, vol. 7, no. 2, 2016, 12-20.
• [19] Hamrol A.: Strategie i praktyki sprawnego działania, PWN, Warszawa, 2015.
• [20] Heinrich M., Jasica G.: Assessing production process reliability using statistical methods, Scientific Problems of Machines Operation and Maintenance, vol. 3(155), 2008, 19-31.
• [21] Inman R.R., Blumenfeld D.E., Huang N., Li J., Li J.: Survey of recent advances on the interface between production system design and quality, IIE Transactions, Vol. 45, 2013, 557-574.
• [22] Jain A., Jain P.K., Chan F.T.S., Singh S.: A review on manufacturing flexibility, International Journal of Production Research, Vol. 51, No. 19, 2013, 5946-5970.
• [23] Karaulova T., Kostina M., Sahno J.: Framework of Reliability estimation for manufacturing processes, Mechanika, vol. 18, no. 6, 2012, 713-720.
• [24] Karaulova T., Kostina M., Shevtschenko E.: Reliability assessment of manufacturing processes, International Journal of Industrial Engineering and Management, Vol. 3, No. 3, 2012, 143-151.
• [25] Khalaj M., Makui A., Tavakkoli-Moghaddam R.: Quantitative and qualitative method in risk-based Reliability assessing under epistemic uncertainty, South African Journal of Industrial Engineering, vol. 23, no. 2, 2012, 84-96.
• [26] Kostina M., Karaulova T., Sahno J., Maleki M.: Reliability estimation for manufacturing processes, Journal of Achievements in Materials and Manufacturing Engineering, vol. 51, issue 1, 2012, 7-13.
• [27] Kumar N., Tewari P. Sachdeva A.: Reliability assessment tools for multi-component complex systems: an overview, International Journal of Advance Research in Science and Engineering, vol. 4, Issue 01, 2015, 132-141.
• [28] Kumar P., Kumar R., Dahmani P., Narula D.: RAM analysis of some process industries: a critical literature review, International Journal of Mechanical Engineering and Robotics Research, vol. 3, no. 3, 2014, 171-179.
• [29] Li J., Meerkobv S.M., Zhang L.: Production systems engineering: main results and recommendations for management, International Journal of Production Research, Vol. 51, Nos. 23-24, pp. 7209-7234.
• [30] Lin G.H.: Process reliability assessment with a Bayesian approach, International Journal of Advanced Manufacturing and Technology, vol. 25, 2005, 392-395.
• [31] Lin Y-K., Chang P-Ch.: Reliability assessment for a stochastic manufacturing system with reworking actions, Journal of the Cinese Institute of Engineers, Vol. 36, No. 3, 2013, 382-390.
• [32] Lin Y-K., Chang P-Ch.: System reliability of a manufacturing network with reworking action and different failure rates, International Journal of Production Research, Vol. 50, No. 23, 2012, 6930-6944.
• [33] Lin Y-K., Chang P-Ch.: Reliability of a production system with intersectional lines, Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, Vol. 227, Issue: 9, 2013, 1382-1392.
• [34] Liwowski B., Kozłowski R.: Podstawowe zagadnienia zarządzania produkcją, Officyna a Wolters Kluwer business, Warszawa, 2011.
• [35] Liu Y., Liu Z.: An integration method for reliability analyses and product configuration, International Journal of Advanced Manufacturing Technology, vol. 50, 2010, 831-841.
• [36] Ma J., He Y., Wu Ch.: Research on reliability estimation for mechanical manufacturing process based on Weibull analysis technology, 2012 Prognostics & System Health Management Conference (PHM-20l2 Beijing).
• [37] Moinzadeh K., Aggarwal P.: Analysis of a Production/Inventory system subject to random disruptions, Management Science, Vol. 43, No. 11, 1997, 1577-1588.
• [38] Mondal S.C., Ray P.K., Maiti J.: Modelling robustness for manufacturing process: a critical review, International Journal of Production Research, Vol. 52, No. 2, 2014, 521-538.
• [39] Moss T.R., Andrews J.D.: Reliability assessment of mechanical systems, Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, vol. 210, no. 3, 205-216.
• [40] Muthiah K.M.N., Huang S.H.: A review of literature on manufacturing systems productivity measurement and improvement, International Journal of Industrial and Systems Engineering, Vol. 1., No. 4., 2006, 461-484.
• [41] Niziński S., Żurek J.: Logistyka ogólna, Wyd. Komunikacji i Łączności, Warszawa, 2011.
• [42] Nowakowski T., Werbińska-Wojciechowska S., Chlebus M.: Production process reliability modelling based on the Markov process implementation. Proc. of Carpathian Logistics Congress CLC 2016, 28th-30th, November, 2016, Zakopane, Poland.
• [43] Nowosielski S.: Zarządzanie procesami, dostępne na: procesy.ue.wroc.pl/uploads/pliki/procesy/wyklady/ZPRnowosielskiWYKLAD.pdf (dostęp: 15.11.2016r.).
• [44] Pająk E.: Zarządzanie produkcją. Produkt, technologia, organizacja, PWE, Warszawa, 2006.
• [45] Piątkowski T.: Analiza i modelowanie procesu sortowania strumienia małogabarytowych ładunków jednostkowych, Rozprawa nr 139, Uniwersytet Technologiczno-Przyrodniczy im. Jana i Jędrzeja Śniadeckich w Bydgoszczy, Bydgoszcz, 2010.
• [46] PN- 93/N-50191: 1993: Słownik terminologiczny elektryki – Niezawodność, jakość obsługi, PKN, Warszawa, 1993.
• [47] PN-EN ISO 9000:2006: Systemy zarządzania jakością – podstawy i terminologia, PKN, Warszawa, 2006.
• [48] PN-EN 60300-3-1:2005: Zarządzanie niezawodnością – Część 3-1: Przewodnik zastosowań – Techniki analizy niezawodności – Przewodnik metodologiczny, PKN, Warszawa, 2005.
• [49] Regatteri A.: Reliability evaluation of manufacturing systems: methods and applications, W: Aziz F.A. (Ed.), InTech, 2012, DOI: 10.5772/35653. Dostęp: http://www.intechopen.com/books/manufacturing-system/reliability-evaluation-of-manufacturing-systems-methods-and-applications
• [50] Saurin T.A., Rooke J., Koskela L.: A complex systems theory perspective of lean production, International Journal of Production Research, Vol. 51, No. 19, 2013, 5824-5838.
• [51] Savage G.J., Carr S.M.: Interrelating Quality and Reliability in Engineering Systems, Quality Engineering, Vol. 14, No. 1, 2001, 137-152.
• [52] Sousa S., Nunes E., Lopes I.: Measuring and managing operational risk in industrial processes, FME Transactions, vol. 43, 2015, 295-302.
• [53] Szarmes P.: A review of current challenges in production planning, Acta Technica Jaurinensis, Vol. 8, No. 1, 2015, 88-95.
• [54] Szatkowski K. (red.): Nowoczesne zarządzanie produkcją: ujęcie procesowe, PWN, Warszawa, 2014.
• [55] Tsarouhas P.: Reliability, availability and maintainability analysis in food production lines: a review, International Journal of Food Science and Technology, vol. 47, 2012, 2243-2251.
• [56] Viveros P., Zio E., Kristjanpoller F., Arata A. : Integrated system reliability and productive capacity analysis of a production line. A case study for Chilean mining process, Proc. IMechE Part O: Journal of Risk and Reliability, vol. 226, 2011, 305-317.
• [57] Vogl G.W., Weiss B.A., Helu M.: A review of diagnostic and prognostic capabilities and best practices for manufacturing, Journal of Intelligent Manufacturing, 2016, 1-17, DOI: 10.1007/s10845-016-1228-8.
• [58] Watson I.A.: Review of human factors in reliability and risk assessment, I Chem E Symposium, April 1985, EFCE Publication Series no. 42, 323-351.