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Analysis of transportation system with the use of Petri nets

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper considers problem of city transportation system performance. Reliability analysis of such a complex system is complicated by several factors. One of them is the possibility of logistic support elements unreliability defined as unavailability of spare elements when desired, what in result may lead to decrease of performance of the system being supported. Thus, both systems must be considered in a single model. However, the simultaneous setting of all structural parameters (e.g. redundancy, repair shop capacity) and control variables (e.g. spare part inventory levels, maintenance policy parameters, time resource) is mathematically a hard problem. This paper investigates Petri net model of the system with the use of Monte Carlo simulation as a solution technique. Comparison of the simulation results with characteristics of real-life system is given.
Rocznik
Tom
Strony
265--276
Opis fizyczny
Bibliogr. 26 poz., rys., tab., wykr.
Twórcy
autor
  • Wrocław University of Technology, Wrocław, Poland
autor
  • Wrocław University of Technology, Wrocław, Poland
  • Wrocław University of Technology, Wrocław, Poland
  • Wrocław University of Technology, Wrocław, Poland
Bibliografia
  • [1] Ajmone Marsan, M., Balbo, G., & Conte, G. (1984). A class of generalized stochastic Petri nets for the performance evaluation of multiprocessor systems. ACM Trans. Computer Systems, Vol. 2 No 2, 93-122.
  • [2] Bobbio, A. & Codetta, D. (2004). Parametric fault trees with dynamic gates and repair boxes. Proc. Annual Symposium on Reliability and Maintainability, 459-465.
  • [3] Cho, I. D. & Parlar, M. (1991). A survey of maintenance models for multi-unit systems. European Journal of Operational Research 51, 1-23.
  • [4] Dugan, J. B., Bavuso, B. & Boyd, M. (1992). Dynamic fault tree models for fault tolerant computer systems. IEEE Trans. Reliability, vol. 41, 363-377.
  • [5] Dugan, J. B., Bavuso, B. & Boyd, M. (1993). Fault trees and Markov models for reliability analysis of fault tolerant systems. Reliability Engineering and System Safety, Vol. 39, 291-307.
  • [6] Fault Tree Analysis. (1990). International Technical Commission, IEC Standard, Publication 1025, 1990.
  • [7] ISO/IEC 15909-1, (2004). High-level Petri nets: Concepts, definitions and graphical notation, 2004.
  • [8] Jodejko, A. & Molecki, B. (2008). Methods of number of redundancies determination in the example of tram network (in Polish). City and Regional Transportation, No. 1.
  • [9] Magott, J., Nowakowski, T., Skrobanek, P. & Werbińska, S. Logistic system modelling Rusing Fault Trees with Time Dependencies – example of tram network. (in prep.).
  • [10] Magott, J., Nowakowski, T., Skrobanek, P. & Werbińska, S. (2008). Analysis of possibilities of timing dependencies modelling – example of logistic support system. European Safety and Reliability Association Conference, ESREL, 2008, Valencia, Spain, 1055-10.
  • [11] Magott, J., Nowakowski, T., Skrobanek, P. & Werbińska, S. (2007). Analysis of logistic suport system using Fault Trees with Time Dependencies. Archives of Transport, 2007, No. 4.
  • [12] Magott, J. & Skrobanek, P. (2000). A method of analysis of fault trees with time dependencies. Proc. SAFECOMP’2000, Rotterdam, The Netherlands, LNCS, Vol. 1943, Springer-Verlag, 2000, 176-186.
  • [13] Montani, S., Portinale, L., Bobbio, A. & Codetta-Raiteri, D. (2008). RADYBAN: a tool for reliability analysis of dynamic fault trees through conversion into dynamic Bayesian networks. Reliability Engineering and System Safety, Vol. 93, 922-932.
  • [14] Nakagawa, T. (1984). A summary of discrete replacement policies. European Journal of Operational Research 17, 382-392.
  • [15] Nicolai, R. P. & Dekker, R. (2006). Optimal maintenance of multicomponent systems: a review. Economic Institute Report 2006.
  • [16] Nowakowski, T. & Werbińska, S. (2008). Maintenance modelling concepts – state of art. International Journal of Materials and Structural Reliability. 2008 vol. 6, nr 2, s. 229-254.
  • [17] Nowakowski T. & Werbińska-Wojciechowska, S. Models of logistic support systems (in prep.).
  • [18] OPNAV Instruction 3000.12A. (2003). Operational availability of equipments and weapons systems, Department of the Navy, Washington D.C.
  • [19] Pham, H. & Wang, H. (1996). Imperfect maintenance. European Journal of Operational Research 94, 425-438.
  • [20] Pierskalla, W. P. & Voelker, J. A. (1976). A survey of maintenance models: the control and surveillance of deteriorating systems. Naval Research Logistics Quarterly 23, 353-388.
  • [21] Sherif, Y. S. (1982). Reliability analysis: Optimal inspection & maintenance schedules of mailing equipment. Microelectronics and Reliability Vol. 22, No. 1, 59-115.
  • [22] Valdez-Flores, C. & Feldman, R. (1989). A survey of preventive maintenance models for stochastically deteriorating single-unit systems. Naval Research Logistics Vol. 36, 419-446.
  • [23] Wang, H. (2002). A survey of maintenance policies of deteriorating systems. European Journal of Operational Research 139, 469-489.
  • [24] Werbińska, S. (2008). Model of logistic suport for exploitation system of means of transport. PhD. Thesis, Technical University of Wroclaw, Poland, report: PRE. 3/2008.
  • [25] Werbińska, S. (2008). Model of logistic suport system with time dependency. Safety, reliability and risk analysis. Theory, methods and applications. Eds Sebastian Martorell, C. Guedes Soares, Julie Barnett. Vol. 3. Leiden : Taylor and Francis, 2008. s.1851-1859.
  • [26] Werbińska, S. (2008). Simulation-based approach for calculating the reliability of logistic suport processes. Journal of KONBiN. 2008 vol. 4, nr 4, s. 239-248.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-e61eefb9-a5fd-40c7-a32c-b1a3f4cbe21e
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