Wybrane problemy oceny niezawodnościowej procesów produkcyjnych

• Autorzy: Maciej Chlebus , Sylwia Werbińska-Wojciechowska

Warianty tytułu

Selected Issues in Production Process Reliability Assessment

• Języki publikacji: PL

Abstrakty

W artykule autorzy skupili się na problemie oceny niezawodnościowej procesów produkcyjnych. Analizy niezawodności procesów produkcyjnych wymagają uwzględnienia wielu różnych czynników oraz uwarunkowań. W związku z tym, opierając się na opracowanej wielowymiarowej definicji niezawodności procesu produkcyjnego, przedstawiono przegląd literatury z obszaru inżynierii niezawodności systemów produkcyjnych. Następnie na podstawie studium przypadku wskazano możliwości implementacji opracowanego podejścia. Pracę kończy podsumowanie oraz wskazanie dalszych kierunków prac badawczych. (abstrakt oryginalny)

EN

In the paper, the authors focus on the problem of reliable performance of production processes. Reliability analyses of production systems involve considering many different factors and requirements. Therefore, based on the authors' developed multidimensional definition of production process reliability, a brief literature review in reliability engineer-ing of production systems is provided. Next, a short case study indicates the implementa-tion possibilities of the developed approach. The work ends with a summary and directions for further research. (original abstract)

Słowa kluczowe

PL

Proces produkcji; Niezawodność; Studium przypadku

EN

Production process; Reliability; Case study

• Czasopismo: Zeszyty Naukowe Politechniki Poznańskiej. Organizacja i Zarządzanie
• Rocznik: 2017
• Numer: nr 72
• Strony: 5--18

Twórcy

autor

Maciej Chlebus

• Politechnika Wrocławska

autor

Sylwia Werbińska-Wojciechowska

• Politechnika Wrocławska

Bibliografia

• Berg, M., Posner, M.J.M., Zhao, H. (1994). Production-Inventory Systems with Unreliable Machines, Operations Research, 42(1), 111-118.
• Blumenthal, S., Greenwood, J.A., Herbach, L.H. (1984). Series Systems and Reliability Demonstration Tests. Operations Research, 32(3), Reliability and Maintainability, 641-648.
• Buzacott, J.A., Yao, D.D. (1986). Flexible Manufacturing Systems: A Review of Analytical Models, Management Science, 32(7), 890-905.
• Chakraborty, S., Ankiah, B. (1989).Assessment of manufacturing system reliability: a case study. Journal of Operational Research Society, 40(1), 55-63.
• Chen, H., Yao, D.D. (1992). A Fluid Model for Systems with Random Disruptions, Opera-tions Research, 40, Supplement 2: Stochastic Processes, S239-S247.
• Chlebus, M., Werbińska-Wojciechowska, S. (w druku). Issues on production process relia-bility assessment - review. Artykuł przyjęty do druku w materiałach konferencyjnych IX Konferencji Naukowej Oszczędność i Efektywność - Współczesne rozwiązania w logistyce i produkcji, 16-18 listopada 2016 r., Poznań.
• Curtin, K.M. (1959). A Monte Carlo approach to evaluate multimoded system reliablity Operations Research, 7(6), 721-727.
• Dai, W., Maropoulos, P.G., Zhao, Y. (2015). Reliability modelling and verification of manufacturing processes based on process knowledge management. International Journal of Computer Integrated Manufacturing, 28(1), 98-111.
• Davy, J.A., White, R.E., Merritt, N.J., Gritzmacher, K. (1992). A Derivation of the Underlying Constructs of Just-in-Time Management Systems. The Academy of Management Journal, 35(3), 653-670.
• de Maré, J., Rosander, B. (1988). The Production Flow in the Motor Industry: A Case Study of Multistate Reliability Theory. Scandinavian Journal of Statistics, 15(1), 51-53.
• Denardo E.V., Lee T.Y.S. (1996). Managing Uncertainty in a Serial Production Line. Operations Research, 44(2), 382-392.
• Denardo, E.V., Tang, C.S. (1997). Control of a Stochastic Production System with Estimat-ed Parameters. Management Science, 43(9), 1296-1307.
• Dhillon, B.S. (2005). Reliability, Quality, and Safety for Engineers. CRC Press, United States of America.
• Dhillon, B.S. (2006). Maintainability, Maintenance, and Reliability for Engineeris. CRC Press, United States of America.
• Elsayed, E.A. (2000). Perspectives and challenges for research in quality and reliability engineering. International Journal of Production Research, 38(9), 1953-1976.
• Fertsch, M., Grzybowska, K., Stachowiak, A. (2011). Models of manufacturing systems - classification framework. Research in Logistics and Production, 1(1), 45-51.
• Filus, J. (1986). A Problem in Reliability Optimization. The Journal of the Operational Research Society, 37(4), 407-412.
• Graves, T.L., Anderson-Cook, C.M., Hamada, M.S. (2010). Reliability Models for Almost-Series and Almost-Parallel Systems. Technometrics, 52(2), 160-171.
• Hamrol, A. (2015). Strategies and practices of efficient performance (in Polish). Warsaw: PWN Publishing House.
• Hosford, J.E. (1960). Measures of Dependability. Operations Research, 8, (1), 53-64.
• Iravani, S.M.R., Duenyas, I., Olsen, T.L. (2000). A Production/Inventory System Subject to Failure with Limited Repair Capacity. Operations Research, 48(6), 951-964.
• Jodejko-Pietruczuk, A., Plewa, M. (2014). Components' rejuvenation in production with reused elements. International Journal of Performability Engineering, 10(6), 567-575.
• Kao, C. (2012). Efficiency decomposition for parallel production systems. The Journal of the Operational Research Society, 63(1), 64-71.
• Lefkowitz, I. (1977). Integrated Control of Industrial Systems, Philosophical Transactions of the Royal Society of London. Series A. Mathematical and Physical Sciences, 287(1346). A Discussion on the Use of Operational Research and Systems Analysis in Decision- Making, 443-465.
• Lin, Y-K., Chang, P-Ch. (2012). System reliability of a manufacturing network with re-working action and different failure rates. International Journal of Production Re-search, 50(23), 6930-6944.
• Lin, Y-K., Chang, P-Ch. (2013). Reliability assessment for a stochastic manufacturing system with reworking actions, Journal of the Chinese Institute of Engineers, 36(3), 382-390.
• Lodding, H., Nyhuis, P., Schmidt, M., Kuyumcu, A. (2014). Modelling lateness and sched-ule reliability: how companies can produce on time. Production Planning and Control, 25(1), 59-72.
• Louit, D., Pascual, R., Banjevic, D., Jardine, AKS. (2011). Optimization models for critical spare parts inventories - a reliability approach. The Journal of the Operational Re-search Society, 62(6), 992-1004.
• Mayne, A.J. (1960). Some Reliability Models of Production Lines, with Special Reference to Computer Operation and Scheduling. Operational Research, 11(1/2), 16-30.
• Meyer, R.R., Rothkopf, M.H., Smith, S.A. (1979). Reliability and Inventory in a Produc-tion-Storage System, Management Science, 25(8), 799-807.
• Moinzadeh, K., Aggarwal, P. (1997). Analysis of a Production/Inventory system subject to random disruptions. Management Science, 43(11), 1577-1588.
• Moinzadeh, K., Klastorin, T.D. (1995). Measuring the Impact of a Delay Buffer on Quality Costs with an Unreliable Production Process. Management Science, 41(3), 513-523.
• Myszewski, J.M. (2011). On effectiveness of the control of production process. Research in Logistics and Production, 1(1), 5-15.
• Nowakowski, T. (2006). Analysis of possibilities of logistic system reliability assessment, In proc. symp.: ESREL 2006 Conference. Estoril, 18-22 September 2006. Estoril: Balkema.
• Pan, W., So, K.C. (2010). Optimal Product Pricing and Component Production Quantities for an Assembly System Under Supply Uncertainty. Operations Research, 58(6), 1792-1797.
• Plewa, M. (2009). Assessment of influence of products' reliability on remanufacturing processes. International Journal of Performability Engineering, 5(5), 463-470.
• Savage, G.J., Carr, S.M. (2001). Interrelating Quality and Reliability in Engineering Systems. Quality Engineering, 14(1), 137-152.
• Szwedzka, M., Jasiulewicz-Kaczmarek, M. (2011). Determining maintenance services using production performance indicators. Research in Logistics and Production, 6(4), 361-374.
• Tsarouhas, P. (2012). Reliability, availability and maintainability analysis in food produc-tion lines: a review. International Journal of Food Science and Technology, 47, 2243-2251.
• Tsou, J-C., Chen, J-M. (2005). Dynamic model for a defective production system with Poka-Yoke. Journal of the Operational Research Society, 56, 799-803.
• Tubis, A. (2010). The Potentials in the Integration of Planning Enterprise Activity, Logis-tics and Transport, 2010/1, 105-113.

Identyfikatory

DOI

10.21008/j.0239-9415.2017.072.01