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Tytuł artykułu

Reliability enhancement using optimization analysis

Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper presents an optimization analysis of a queuing system for a particular post office as a tool to increase system reliability. The consideration of system reliability in terms of queuing system failures is very relevant. One way to increase reliability is to analyse the system and its parameters in order to identify its most critical flaws. We used the chi-squared goodness-of-fit test based on the validation of a null hypothesis over an alternative hypothesis. The purpose of the test was to verify the correspondence of the measured data with a theoretical probability distribution. Measurements of relevant data were performed on the specific post office that represented the subject of our research. This approach proved to be a powerful tool in system analysis and optimization. The results of such an analysis can serve as the basis for the modelling of queuing systems.
Rocznik
Tom
Strony
115--125
Opis fizyczny
Bibliogr. 18 poz.
Twórcy
autor
  • Faculty of operation and economics of transport and communications, University of Zilina, Zilina, Slovakia
autor
  • Faculty of operation and economics of transport and communications, University of Zilina, Zilina, Slovakia
autor
  • Faculty of operation and economics of transport and communications, University of Zilina, Zilina, Slovakia
autor
  • Faculty of operation and economics of transport and communications, University of Zilina, Zilina, Slovakia
Bibliografia
  • 1. Achimska V. 2011. Modelovanie systemov. [In Slovak: System Modelling.] Zilina: Zilinska univerzita v Ziline. ISBN 978-80-554-0450-9.
  • 2. Droździel P., B. Bukova, E. Brumercikova. 2015. “Prospects of international freight transport in the East-West direction”. Transport Problems 4(10): 5-13.
  • 3. Galambos J., S. Kotz. 1978. Characterizations of Probability Distributions. New York: Springer. ISBN 3-540-08933.
  • 4. Good P.I., J.W. Hardin. 2009. Common Errors in Statistics (and How to Avoid Them). Hoboken, NJ: Wiley & Sons.
  • 5. Husek, R. J. Lauber. 1987. Simulacne modely. [In Czech: Simulation Models.] Prague: ALFA. ISBN 04-326-87.
  • 6. Kolarovszki P., J. Tengler, M. Majercakova. 2016. “The new model of customer segmentation in postal enterprises”. In Third International Conference on New Challenges in Management and Business: Organization and Leadership 230: 121-127.
  • 7. Lehmann E.L. ‘Student‘ and small sample theory”. Statistical Science 14(4): 41-426.
  • 8. Lyocsa S., Baumohl E., Výrost T. 2013. Kvantitativne metody v ekonomii II. [In Slovak: Quantitative Methods in Economics II.] Košice: Elfa. ISBN 978-80-8086-210-7.
  • 9. Montgomery D.C., G.C. Runger. Applied Statistics and Probability for Engineers. New York, NY: John Wiley & Sons.
  • 10. Matuskova M., L. Madlenakova. 2016. “The impact of the electronic services to the universal postal services”. In Proceedings of the 16th International Scientific Conference Reliability and Statistics in Transportation and Communication (Relstat-2016) 178: 258-266.
  • 11. Mrkvicka T., V. Petraskova. 2006. Uvod do statistiky. [In Czech: Statistics Introduction.] Ceske Budejovice: Jihočeská univerzita. ISBN 80-7040-894-4.
  • 12. Plackett R., L. Pearson. 1983. “The chi-squared test”. International Statistical Review 51: 59-72.
  • 13. Rui H., C. Hengjian. 2015. “Consistency of chi-squared test with varying number of classes”. Journal of System Sciences and Complexity 28: 439-450.
  • 14. Tkac M. 2001. Statisticke riadenie kvality v praxi. [In Slovak: Statistical Quality Management in Practice.] Bratislava: Ekonom.
  • 15. Xing Y.A., D.B. Grant, A.C. McKinnon, J. Fernie. “Physical distribution service quality in online retailing”. International Journal of Physical Distribution & Logistics Management 40(5-6): 415-432.
  • 16. Yi C.G., S.D. Ju. 2006. “Service reliability analysis on logistics network”. Proceedings of the IEEE International Conference on Service Operations and Logistics, and Informatics (Soli 2006).
  • 17. Zo H., D.L. Nazareth, H.K. Jain. 2012. “End-to-end reliability of service oriented applications”. Information Systems Frontiers 14(5): 971-986.
  • 18. David Shteinman2014. “Two methods to improve the quality and reliability of calibrating and validating simulation models”. Road & Transport Research: A Journal of Australian and New Zealand Research and Practice 23(3). ISSN: 1037-5783.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-69500e24-eb6a-4cee-8836-733de19489c4
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