Use of delay-time concept in modelling process of technical and logistics systems maintenance performance. Case study

Werbińska-Wojciechowska, S.; Zając, P.

Artykuł - szczegóły

Tytuł artykułu

Use of delay-time concept in modelling process of technical and logistics systems maintenance performance. Case study

Autorzy

Werbińska-Wojciechowska S. , Zając P.

Treść / Zawartość

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Warianty tytułu

Zastosowanie koncepcji opóźnień czasowych w procesie modelowania utrzymania w stanie zdatności systemów technicznych i logistycznych. Studium przypadku

Języki publikacji

EN PL

Abstrakty

Article presents an overview of some recent developments in the area of modelling of technical systems’ maintenance decisions with the use of delay-time concept. Thus, the literature overview from 1984-2012 in the analysed research area is given. Next, there is characterised the implementation algorithm for delay time analysis use in the area of logistic systems maintenance performance. Later, the example of methodology of using delay-time analysis implementation in the area of logistic system of ten forklifts performance analysis is investigated.

W artykule przedstawiono zagadnienia związane z modelowaniem utrzymania systemów logistycznych w stanie zdatności z wykorzystaniem koncepcji opóźnień czasowych. Przedstawiono przegląd literatury z badanego obszaru obejmujący okres 1984-2012. Następnie został omówiony algorytm postępowania w procesie implementacji koncepcji opóźnień czasowych w obszarze utrzymania w stanie zdatności systemów logistycznych. W ostatnim punkcie, został przedstawiony przykład zastosowania opracowanej metodyki do oceny niezawodności i oczekiwanych kosztów obsługiwania dziesięciu wózków widłowych funkcjonujących w wybranym systemie.

Słowa kluczowe

delay-time concept maintenance logistic system

koncepcja opóźnień czasowych utrzymanie zdatności system logistyczny

Wydawca

Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne

Czasopismo

Eksploatacja i Niezawodność

Rocznik

2015

Tom

Vol. 17, no. 2

Strony

174--185

Opis fizyczny

Bibliogr. 93 poz., rys., tab.

Twórcy

autor

Werbińska-Wojciechowska S.

sylwia.werbinska@pwr.edu.pl

Wydział Mechaniczny, Katedra Eksploatacji Systemów Logistycznych, Systemów Transportowych i Układów Hydraulicznych Politechnika Wrocławska

autor

Zając P.

pawel.zajac@pwr.edu.pl

Wydział Mechaniczny, Katedra Eksploatacji Systemów Logistycznych, Systemów Transportowych i Układów Hydraulicznych Politechnika Wrocławska

Bibliografia

1. H., Wang W. Problem identification in maintenance modelling: a case study. International Journal of Production Research 2008; 46(4): 1031-1046, http://dx.doi.org/10.1080/00207540600960708.
2. Alzubaidi H. J. Maintenance modelling of a major hospital complex. PhD thesis. Salford: University of Salford, 1993.
3. Ascher H. E., Kobbacy K. A. H. Modelling preventive maintenance for deteriorating repairable systems. IMA Journal of Mathematics Applied in Business & Industry 1995; 6: 85-99.
4. Attia A. F. Estimation of the reliability function using the delay-time models. Microelectronics Reliability 1997; 37(2): 323-327, http://dx.doi.org/10.1016/S0026-2714(96)00012-1.
5. Aven T., Dekker, R. A useful framework for optimal replacement models. Reliability Engineering and System Safety 1997; 58(1): 61-67, http://dx.doi.org/10.1016/S0951-8320(97)00055-0.
6. Babiarz B. An introduction to the assessment of reliability of the heat supply systems. International Journal of Pressure Vessels and Piping 2006; 83(4): 230-235, http://dx.doi.org/10.1016/j.ijpvp.2006.02.002.
7. Bajda A., Wrażeń M., Laskowski D. Diagnostics the quality of data transfer in the management of crisis situation. Electrical Review 2011;87(9A): 72-78.
8. Baker R. D., Christer A. H. Review of delay-time OR modelling of engineering aspects of maintenance. European Journal of Operational Research 1994; 73: 407-422, http://dx.doi.org/10.1016/0377-2217(94)90234-8.
9. Baker R. D., Wang W. Estimating the delay-time distribution of faults in repairable machinery from failure data. IMA Journal of Mathematics Applied in Business & Industry 1992; 3: 259-281.
10. Bartezzaghi E., Spina G., Verganti R. Lead-time models of business processes. International Journal of Operations and Production Management 1994; 14(5): 5-20, http://dx.doi.org/10.1108/01443579410056768.
11. Beamon B. M. Supply chain Design and Analysis: Models and Methods. International Journal of Production Economics 1998; 55(3): 281-294, http://dx.doi.org/10.1016/S0925-5273(98)00079-6.
12. Blanchard B. S. Logistics engineering and management. Pearson Prentice Hall: Upper Saddle River, 2004.
13. Blanchard B. S. Logistics Requirements: Established From The Beginning. SOLETech 2002; 5.1: 1-6.
14. Cai J., Zhu L. A delay-time model with imperfect inspection for aircraft structure subject to a finite time horizon. Proc. of IEEE International Conference on Grey Systems and Intelligent Services 2011. 15-8 Sept. 2011, Nanjing, China, http://dx.doi.org/10.1109/GSIS.2011.6044102.
15. Catuneanu V. M., Moldovan C., Popentin, Fl., Gheorghin M. Optimum system availability and spare allocation. Microelectronic Reliability 1988; 28(3): 353-357, http://dx.doi.org/10.1016/0026-2714(88)90388-5.
16. Cerone P. On a simplified delay time model of reliability of equipment subject to inspection monitoring. Journal of the Operational Research Society 1991; 42(6): 505-511, http://dx.doi.org/10.1038/sj/jors/0420607, http://dx.doi.org/10.1057/jors.1991.98, http://dx.doi.org/10.2307/2583457.
17. Chaberek M. Makro- i mikroekonomiczne aspekty wsparcia logistycznego. Wyd. U.G.: Gdańsk, 2002.
18. Cho I. D., Parlar M. A survey of maintenance models for multi-unit systems. European Journal of Operational Research 1991; 51: 1-23,http://dx.doi.org/10.1016/0377-2217(91)90141-H.
19. Choi K-M. Semi-Markov and Delay Time Models of Maintenance. PhD thesis. Salford: University of Salford, 1997.
20. Christer A. H. A Review of Delay Time Analysis for Modelling Plant Maintenance. in: Stochastic Models in Reliability and Maintenance, Osaki S. (ed.), Berlin Heidelberg: Springer, 2002, http://dx.doi.org/10.1007/978-3-540-24808-8_4.
21. Christer A. H. Developments in delay time analysis for modelling plant maintenance. Journal of the Operational Research Society 1999; 50: 1120-1137, http://dx.doi.org/10.2307/3010083, http://dx.doi.org/10.1057/palgrave.jors.2600837.
22. Christer A. H. Delay-time model of reliability of equipment subject to inspection monitoring. Journal of the Operational Research Society 1987; 38(4): 329-334, http://dx.doi.org/10.2307/2582056, http://dx.doi.org/10.1057/jors.1987.54.
23. Christer A. H. Modelling inspection policies for building maintenance. Journal of the Operational Research Society 1982; 33: 723-732, http://dx.doi.org/10.2307/2634320, http://dx.doi.org/10.1057/jors.1982.161.
24. Christer A. H., Redmond D. F. Revising models of maintenance and inspection. International Journal of Production Economics 1992; 24: 227-234, http://dx.doi.org/10.1016/0925-5273(92)90134-S.
25. Christer A. H., Redmond D. F. A recent mathematical development in maintenance theory. IMA Journal of Mathematics Applied in Business and Industry 1990; 2: 97-108.
26. Christer A. H., Scarf P. A. A robust replacement model with applications to medical equipment. Journal of the Operational Research Society 1994; 45(3): 261-275, http://dx.doi.org/10.2307/2584160, http://dx.doi.org/10.1057/jors.1994.39.
27. Christer A. H., Waller W. M. A Descriptive model of capital plant replacement, Journal of the Operational Research Society 1987; 38(6): 473-477, http://dx.doi.org/10.1057/jors.1987.84, http://dx.doi.org/10.2307/2582760.
28. Christer A. H., Waller W. M. An operational research approach to planned maintenance: modelling P.M. for a vehicle fleet. Journal of the Operational Research Society 1984; 35(11): 967-984, http://dx.doi.org/10.1057/jors.1984.193, http://dx.doi.org/10.2307/2582454.
29. Christer A. H., Waller W. M. Reducing production downtime using delay-time analysis. Journal of the Operational Research Society 1984; 35(6): 499-512, http://dx.doi.org/10.1057/jors.1984.103, http://dx.doi.org/10.2307/2581797.
30. Christer A. H., Waller W. M. Delay Time Models of Industrial Inspection Maintenance Problems. Journal of the Operational Research Society 1984; 35(5): 401-406, http://dx.doi.org/10.1057/jors.1984.80, http://dx.doi.org/10.2307/2581368.
31. Christer A.H., Wang W., Choi K., Van der Duyn Schouten F. A. The robustness of the semi-Markov and delay time single-component inspection models to the Markov assumption. IMA Journal of Management Mathematics 2001; 12: 75-88, http://dx.doi.org/10.1093/imaman/12.1.75.
32. Christer A. H., Whitelaw J. An operational research approach to breakdown maintenance: problem recognition. Journal of the Operational Research Society 1983; 34(11): 1041-1052, http://dx.doi.org/10.2307/2581013, http://dx.doi.org/10.1057/jors.1983.235.
33. Cunningham A., Wang W., Zio E., Allanson D., Wall A., Wang J. Application of Delay-time Analysis via Monte Carlo Simulation. Journal of Marine Engineering and Technology 2011; 10(3): 57-72.
34. Dekker R., Roelvink I. F. K. Marginal cost criteria for preventive replacement of a group of components. European Journal of Operational Research 1995; 84: 467-480, http://dx.doi.org/10.1016/0377-2217(93)E0346-Y.
35. Desa M. I., Christer A. H. Modelling in the absence of data: a case study of fleet maintenance in a developing country. Journal of the Operational Research Society 2001; 52: 247-260, http://dx.doi.org/10.1057/palgrave.jors.2601107.
36. Frostig E. Comparison of maintenance policies with monotone failure rate distributions. Applied Stochastic Models in Business and Industry 2003; 19: 51-65, http://dx.doi.org/10.1002/asmb.485.
37. Gross D., Pinkus C. E. Designing a support system for repairable items. Computers & Operations Research 1979; 6: 59-68, http://dx.doi.org/10.1016/0305-0548(79)90017-0.
38. Hennet J-C., Tarbouriech S. Stability conditions of constrained delay systems via positive invariance. International Journal of Robust and Nonlinear Control 1998; 8: 265-278, http://dx.doi.org/10.1002/(SICI)1099-1239(199803)8:3<265::AID-RNC311>3.3.CO;2-#, http:// dx.doi.org/10.1002/(SICI)1099-1239(199803)8:3<265::AID-RNC311>3.0.CO;2-8, http://sjp.pwn.pl/sjp/motogodzina;2484786 (dostęp: 15.12.2014r.).
39. Jardine A. K. S., Hassounah M. I. An optimal vehicle-fleet inspection schedule. Journal of the Operational Research Society 1990; 41(9): 791-799, http://dx.doi.org/10.1057/jors.1990.116, http://dx.doi.org/10.2307/2583494.
40. Jia X., Christer A. H. A periodic testing model for a preparedness system with a defective state. IMA Journal of Management Mathematics 2002; 13: 39-49, http://dx.doi.org/10.1093/imaman/13.1.39.
41. Jodejko-Pietruczuk A., Werbińska-Wojciechowska S. Analysis of maintenance models' parameters estimation for technical systems with delay time. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2014; 16(2): 288-294.
42. Jodejko-Pietruczuk A., Werbińska-Wojciechowska S. Economical effectiveness of Delay Time approach using in Time-Based maintenance modelling. Proc. of PSAM 11 & ESREL 2012 Conference, 25-29 June 2012, Helsinki, Finland.
43. Jodejko-Pietruczuk A., Werbińska-Wojciechowska S. Analysis of Block-Inspection Policy parameters from economical and availability point of view. Proc. of PSAM 11 & ESREL 2012 Conference, 25-29 June 2012, Helsinki, Finland.
44. Jones B., Jenkinson I., Wang J. Methodology of using delay-time analysis for a manufacturing industry. Reliability Engineering and System Safety 2009; 94: 111-124, http://dx.doi.org/10.1016/j.ress.2007.12.005.
45. Kierzkowski A. Reliability models of transportation system of low cost airlines. In: Reliability, risk and safety: back to the future. Ale B. J.M., Papazoglou J. A., Zio E., Raton, B (eds). CRC Press: London 2010.
46. Kierzkowski A., Kowalski M., Magott J., Nowakowski T. Maintenance process optimization for low-cost airlines. Proc. of PSAM 11 &ESREL 2012 Conference, 25-29 June 2012, Helsinki, Finland.
47. Lee C. Applications of delay time theory to maintenance practice of complex plant. PhD work. T.I.M.E. Research Institute. Salford: University of Salford, 1999.
48. Leung F., Kit-leung M. Using delay-time analysis to study the maintenance problem of gearboxes. International Journal of Operations & Production Management 1996; 16(12): 98-105, http://dx.doi.org/10.1108/01443579610151779.
49. Lewitowicz J. Risk in logistics (in Polish). Logistyka 2007; 5: 1-6.
50. Melo M. T., Nikel S., Saldanha da Gama F.: Dynamic multi-commodity capacitated facility location: a mathematical modeling framework for strategic supply chain planning. Computers & Operations Research 2005; 33(1): 181-208, http://dx.doi.org/10.1016/j.cor.2004.07.005.
51. Młyńczak M., Nowakowski T., Werbińska-Wojciechowska S. Technical systems maintenance models classification (in Polish). In: Technical systems maintenance problems, monograph (in Polish). Siergiejczyk M. (ed.) Warsaw: Warsaw University of Technology Publishing House, 2014.
52. Nakagawa T. A summary of discrete replacement policies. European Journal of Operational Research 1984; 17: 382-392, http://dx.doi.org/10.1016/0377-2217(84)90134-6.
53. Nicolai R. P., Dekker R. A review of multi-component maintenance models. Proc. of European Safety and Reliability Conference ESREL 2007, eds. Aven, T. & Vinnem, J.E., Leiden: CRC Press/Balkema: 289-296.
54. Nicolai R. P., Dekker R. Optimal maintenance of multicomponent systems: a review. Economic Institute Report 2006.
55. Nowakowski T. Analysis of modern trends of logistics technology development. Archives of Civil and Mechanical Engineering 2011; 11(3):699-706, http://dx.doi.org/10.1016/S1644-9665(12)60110-1.
56. Nowakowski T. Problems with analyzing operational data uncertainty. Archives of Civil and Mechanical Engineering 2010; 10(3): 95-109. http://dx.doi.org/10.1016/S1644-9665(12)60139-3,
57. Nowakowski T., Werbińska-Wojciechowska S. Developments of time dependencies modeling concepts, Advances in safety, reliability and risk management. Proc. of the European Safety and Reliability Conference, ESREL 2011, Troyes, France, 18-22 September 2011. Leiden: CRC Press/Balkema: 832-838.
58. Nowakowski T., Werbińska S. On problems of multicomponent system maintenance modeling. International Journal of Automation and Computing 2009; 6(4): 364-378, http://dx.doi.org/10.1007/s11633-009-0364-4.
59. Nowakowski T., Werbińska S. Chosen problems of logistic chain performance assessment (in Polish). In: Chosen issues of applied logistics (in Polish). Bukowski L. (ed). Krakow: Publ. House of AGH University Science of Technology, 2009.
60. Pham H., Wang H. Imperfect maintenance. European Journal of Operational Research 1996; 94: 425-438, http://dx.doi.org/10.1016/0377-2217(96)00099-9, http://dx.doi.org/10.1016/S0377-2217(96)00099-9.
61. Pierskalla W. P., Voelker J. A. A survey of maintenance models: the control and surveillance of deteriorating systems. Naval Research Logistics Quarterly 1976; 23: 353-388, http://dx.doi.org/10.1002/nav.3800230302.
62. Pillay A., Wang J., Wall A. D., Ruxton T. A maintenance study of fishing vessel equipment using delay-time analysis. Journal of Quality in Maintenance Engineering 2001; 7(2): 118-127, http://dx.doi.org/10.1108/13552510110397421.
63. Redmond D. F. Delay Time Analysis in Maintenance. PhD thesis. Salford: University of Salford, 1997.
64. Restel F. J. Train punctuality model for a selected part of railway transportation system. Proc. of 22nd Annual Conference on European Safety and Reliability ESREL 2013. 29 September-02 October 2013, Amsterdam, the Netherlands, 2014.
65. Sarkar J. Li F. Limiting average availability of a system supported by several spares and several repair facilities. Statistics and Probability Letters 2006; 76: 1965-1974, http://dx.doi.org/10.1016/j.spl.2006.04.046.
66. Scarf P. A. On the application of mathematical models in maintenance. European Journal of Operational Research 1997; 99: 493-506, http:// dx.doi.org/10.1016/S0377-2217(96)00316-5. Scarf P. A., Bouamra O.
67. On the application of a capital replacement model for a mixed fleet. IMA Journal of Mathematics Applied in Business & Industry 1995; 6: 39-52.
68. Sherif Y. S. Reliability analysis: Optimal inspection & maintenance schedules of failing equipment. Microelectronics and Reliability 1982; 22(1): 59-115, http://dx.doi.org/10.1016/0026-2714(82)90051-8.
69. Subramanian R., Natarajan R. An n-unit standby redundant system with r repair facilities and preventive maintenance. Microelectronics Reliability 1982; 22(3): 367-377, http://dx.doi.org/10.1016/0026-2714(82)90011-7.
70. Thomas L. C. A survey of maintenance and replacement models for maintainability and reliability of multi-item systems. Reliability Engineering 1986; 16: 297-309, http://dx.doi.org/10.1016/0143-8174(86)90099-5.
71. Tomaszek H., Jasztal M., Zieja M. Application of the Paris formula with M=2 and the variable load spectrum to a simplified method for evaluation of reliability and fatigue life demonstrated by aircraft components. Eksploatacja i Niezawodnosc – Maintenance and Reliability 2013; 15(4): 297-303.
72. Ustawa z dnia 21 grudnia 2000 r. o dozorze technicznym (the Act of Law of 21 December 2000 on technical supervision).
73. Valdez-Flores C., Feldman R. A survey of preventive maintenance models for stochastically deteriorating single-unit systems. Naval Research Logistics 1989; 36: 419-446, http://dx.doi.org/10.1002/1520-6750(198908)36:4<419::AID-NAV3220360407>3.0.CO;2-5.
74. 75. Valis D., Koucky M., Zak L. On approaches for non-direct determination of system deterioration. Eksploatacja i Niezawodnosc -Maintenance and Reliability 2012; 14(1): 33-41.
75. Valis D., Zak L., Pokora O. Engine residual technical life estimation based on tribo data. Eksploatacja i Niezawodnosc – Maintenance and Reliability 2014; 16(2): 203-210.
76. Wang H. A survey of maintenance policies of deteriorating systems. European Journal of Operational Research 2002; 139: 469-489, http://dx.doi.org/10.1016/S0377-2217(01)00197-7.
77. Wang W. An overview of the recent advances in delay-time-based maintenance modeling. Reliability Engineering and System Safety 2012;106: 165-178, http://dx.doi.org/10.1016/j.ress.2012.04.004.
78. Wang W. Modeling planned maintenance with non-homogeneous defect arrivals and variable probability of defect identification. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2010; 2: 73-78.
79. Wang W. Delay time modelling for optimized inspection intervals of production plant. In: Handbook of Maintenance Management and Engineering. Ben-Daya, M., Duffuaa, S. O., Raouf, A., Knezevic, J., Ait-Kadi, D. (eds.). London: Springer, 2009, http://dx.doi.org/10.1007/978-1-84882-472-0_19.
80. Wang W. Delay time modelling. In: Complex system maintenance handbook. Kobbacy, A. H., Prabhakar Murthy, D. N. (eds.). London: Springer, 2008, http://dx.doi.org/10.1007/978-1-84800-011-7_14.
81. Wang W. A delay time based approach for risk analysis of maintenance activities. Journal of the Safety and Reliability Society 2003; 23(1): 103-113.
82. Wang W., Christer A. H. Solution algorithms for a nonhomogeneous multi-component inspection model. Computers & Operations Research 2003; 30: 19-34, http://dx.doi.org/10.1016/S0305-0548(01)00074-0.
83. Wang W., Christer A. H. A modelling procedure to optimize component safety inspection over a finite time horizon. International Quality and Reliability Engineering 1997; 13: 217-224, http://dx.doi.org/10.1002/(SICI)1099-1638(199707)13:4<217::AID-QRE107>3.3.CO;2-G, http://dx.doi.org/10.1002/(SICI)1099-1638(199707)13:4<217::AID-QRE107>3.0.CO;2-P.
84. Wen-yua LV, Wang W. Modelling preventive maintenance of production plant given estimated PM data and actual failure times. Proc. of International Conference on Management Science and Engineering 2006, 5-7 October 2006, Lille.
85. Werbińska-Wojciechowska S. Problems of logistics systems modelling with the use of DTA approach. Logistics and Transport 2012; 2: 63-74.
86. Werbińska-Wojciechowska S. Modelling of time relations in production systems (in Polish). Logistyka 2010; 2: 1-10.
87. Werbińska S. Model of logistic support for means of transport operational system performance (in Polish). PhD. Thesis. Wroclaw: Wroclaw University of Technology, 2008.
88. Werbińska S. Reliability model for logistic support system with time relations (in Polish). Logistyka 2007; 3: 1-12.
89. Witkowski K., Kiba-Janiak M., Seniuk S. Map of Logistics processes as a part of creating an enterprise supply chain in the metallurgical company. Proc. of 21st International Conference on Metallurgy and Materials, 23-25 May, 2012, Brno Czech Republic.
90. www.cscmp.org (dostęp: 20.10.2014r.).
91. www.eksploatacja.waw.pl/indexphp.php?s=4000 (dostęp: 20.10.2014r.).
92. Zajac M., Kierzkowski A. Uncertainty assessment in semi Markov methods for Weibull functions distributions. In: Advances in Safety,Reliability and Risk Management – Proc. of the European Safety and Reliability Conference, ESREL 2011. 18-22 September 2011, Troyes France.
93. Zhao J., Chan A. H. C., Roberts C., Madelin K. B. Reliability evaluation and optimisation of imperfect inspections for a component with multi-defects. Reliability Engineering and Systems Safety 2007; 92: 65-73, http://dx.doi.org/10.1016/j.ress.2005.11.003.

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