A stochastic model for estimation of repair rate for system operating under performance based logistics

Kontrec, N.; Panić, S.; Petrović, M.; Milošević, H.

doi:10.17531/ein.2018.1.9

Artykuł - szczegóły

Tytuł artykułu

A stochastic model for estimation of repair rate for system operating under performance based logistics

Autorzy

Kontrec N. , Panić S. , Petrović M. , Milošević H.

Treść / Zawartość

Pełne teksty:

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Identyfikatory

DOI

10.17531/ein.2018.1.9

Warianty tytułu

Stochastyczny model do szacowania intensywności napraw dla systemu działającego w warunkach logistyki wydajnościowej

Języki publikacji

Abstrakty

Performance Based Logistics (PBL) concept has an aim to improve the system availability and it has been extensively researched in the recent years. These researches showed that inventory level does not impact system availability as much as component reliability and repair time in repairable system operating under PBL contract. Based on that, in this paper, we propose a new stochastic model for determination of annual repair rate for critical aircraft components in such system in order to achieve desired availability. The result obtained could be used for planning of base stock level and capacity of repair facilities.

Koncepcja Logistyki Opartej na Wydajności (Performance Based Logistics, PBL), której celem jest poprawa gotowości systemów, została w ostatnich latach szeroko zbadana. Badania te wykazały, że w przypadku systemów działających w warunkach PBL, poziom zapasów nie wpływa na gotowość systemu w tak dużym stopniu jak niezawodność elementów składowych oraz czasy napraw. Opierając się na tej obserwacji, w niniejszym artykule proponujemy nowy model stochastyczny do określania rocznej intensywności napraw krytycznych elementów samolotu tworzących system tego typu. Model ten pozwala na osiągnięcie pożądanej gotowości. Uzyskany model może być wykorzystany do planowania bazowego poziomu zapasów oraz przepustowości zakładów remontowych.

Słowa kluczowe

repair rate availability stochastic model performance based logistics

intensywność napraw gotowość model stochastyczny logistyka oparta na wydajności

Wydawca

Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne

Czasopismo

Eksploatacja i Niezawodność

Rocznik

2018

Tom

Vol. 20, no. 1

Strony

68--72

Opis fizyczny

Bibliogr. 28 poz., rys., tab.

Twórcy

autor

Kontrec N.

natasa.kontrec@pr.ac.rs

Faculty of Sciences and Mathematics University of Pristina Lole Ribara 29, Kosovska Mitrovica, Serbia

autor

Panić S.

stefan.panic@pr.ac.rs

Faculty of Sciences and Mathematics University of Pristina Lole Ribara 29, Kosovska Mitrovica, Serbia

autor

Petrović M.

milena.petrovic@pr.ac.rs

Faculty of Sciences and Mathematics University of Pristina Lole Ribara 29, Kosovska Mitrovica, Serbia

autor

Milošević H.

hranislav.milosevic@pr.ac.rs

Faculty of Sciences and Mathematics University of Pristina Lole Ribara 29, Kosovska Mitrovica, Serbia

Bibliografia

1. Andrzejczak K. Stochastic modelling of the repairable system. Journal of KONBiN. 2015; 35 (1): 5-14, https://doi.org/10.1515/jok-2015-0034.
2. Dhakar T S, Schmidt C, Miller D M. Base stock level determination for high cost low demand critical repairable spares. Computers & Operation Research 1994; 21 (4): 411-420, https://doi.org/10.1016/0305-0548(94)90028-0.
3. Diaz A, Fu M. Multi-echelon inventory systems for repairable items with limited repair facilities. European Journal of Operations Research 1997; 97 (3): 480-492, https://doi.org/10.1016/S0377-2217(96)00279-2.
4. Gamiz M L, Kulasekera K B, Limnios N, Lindqvist B H. Applied Nonparametric Statistics in Reliability. Springer-Verlag London 2011; ISBN 978-0-85729-117-2, https://doi.org/10.1007/978-0-85729-118-9.
5. Geary S. Ready for combat. DC Velocity 2006; 4 (7): 75-80.
6. Hoffman D, Karst O. J. The theory of the Rayleigh distribution and some of its applications. Journal of Ship Research 1975; 19 (3).
7. Kang K, Doerr K. H, Boudreau M, Apte U. A decision support model for valuing proposed improvements in component reliability. Working paper, Naval Postgraduate School 2005.
8. Kang K, Doerr K H, Sanchez S M. A Design of Experiments Approach to Readiness Risk Analysis. Simulation Conference WSC 06. Proceedings of the Winter 2006: 1332-1339, https://doi.org/10.1109/WSC.2006.323232.
9. Kim S H, Cohen M A, Netessine S. Performance contracting in fter-sales service supply chains. Management Science. 2007; 53 (12):1843-1858, https://doi.org/10.1287/mnsc.1070.0741.
10. Kim S H, Cohen M A, Netessine S. Reliability or inventory? Contracting strategies for after-sales product support. Proceedings of 2007 International Conference on Manufacturing & Service Operations Management 2007.
11. Krawczyk M. Conditions for Unmanned Aircraft Reliability Determination. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2013; 15 (1): 31-36.
12. Lau H C, Song H. Two-echelon repairable item inventory system with limited repair capacity under nonstationary demands. Proceedings of 35th Meeting of the Decision Sciences Institute (DSI). USA: Boston 2004: 1901-1908.
13. Leemis L, McQueston J. Univariate distribution relationships The American Statistician 2008; 62: 45-53, https://doi.org/10.1198/000313008X270448.
14. Mirzahosseinian H, Piplani R. A study of repairable parts inventory system operating under performance-based contract. European Journal of Operational Research 2011; 214 (2): 256-261, https://doi.org/10.1016/j.ejor.2011.04.035.
15. Muckstadt J. A. A model for a multi-item, multi-echelon, multi-indenture inventory system. Management Science 1973; 20: 472-481, https://doi.org/10.1287/mnsc.20.4.472.
16. Muralidharan K, and Syamsundar A. (2012). Statistical Methods for Quality, Reliability and Maintainability, PHI Learning PVT, India ISBN-978-81-203-4543-0.
17. Ng I C L, Maull R, Yip N. Outcome-based contracts as a driver for systems thinking and service-dominant logic in service science: evidence from the defense industry. European Management Journal 2009; 27 (6): 377-387, https://doi.org/10.1016/j.emj.2009.05.002.
18. Nowicki D, Kumar U D, Steudel H J, Verma D. Spares provisioning under performance-based logistics contract: profit-centric approach. Journal of the Operational Research Society 2008; 59 (3): 342-352, https://doi.org/10.1057/palgrave.jors.2602327.
19. Öner K B, Kiesmüller G P, van Houtum J. Optimization of component reliability in the design phase of capital goods. European Journal of Operational Research 2010; 205 (3): 615-624, https://doi.org/10.1016/j.ejor.2010.01.030.
20. Phillips E H. Performance based logistics: a whole new approach. Aviation Week and Space Technology 2005; 163 (17): 52-55.
21. Randall W, Pohlen T, Hanna J. Evolving a theory of performance-based logistics using insights from service dominant logic, Journal of Business Logistics 2010; 31 (2): 35-61, https://doi.org/10.1002/j.2158-1592.2010.tb00142.x.
22. Ross S M. Applied probability models with optimization applications. Courier Corporation; 2013 Apr 15.
23. Sherbrooke C C. METRIC: a multi-echelon technique for recoverable item control. Operational Research 1968; 16: 122-141, https://doi.org/10.1287/opre.16.1.122.
24. Sherbrooke C C. VARI-METRIC: improved approximations for multi-indenture, multi-echelon availability models. Operations Research 1986; 34: 311-319, https://doi.org/10.1287/opre.34.2.311.
25. Tao N, Wen S. Simulation of a closed loop multi-echelon repairable inventory system. Proceedings of the 16th International conference on Management Science & Engineering 2009: 663-668.
26. Wang Y, Zhao J, Cheng Z, Yang Z. Integrated decision on spare parts ordering and equipment maintenance under condition based maintenance strategy. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2015; 17 (4): 591- 599, http://dx.doi.org/10.17531/ ein.2015.4.15.
27. Wong H, Cattrysse D, Van Oudheusden D. Stocking decisions for repairable spare parts pooling in a multi-hub system. International Journal of Production Economics 2005; 93: 309-317, https://doi.org/10.1016/j.ijpe.2004.06.029.
28. Wynne M. W. Performance based logistics: purchasing using performance based criteria. The Under Secretary of Defense, Memorandum for Secretaries of the Military Departments 2004.

Uwagi

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

Typ dokumentu

Bibliografia

Identyfikator YADDA

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