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Production Engineering

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21.07.2023 | Production Management

A dynamic availability analysis of an N-component production system with interdependency effects: a fractional-order approach

verfasst von: Ziyad Bahou, Mohamed Reda Lemnaouar, Issam Krimi

Erschienen in: Production Engineering | Ausgabe 1/2024

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Abstract

This paper presents a dynamic availability assessment of a large multi-component production system, taking into account the stochastic interdependence effect that has a negative impact on system availability. While this effect is detrimental to availability, it is necessary to consider it in maintenance modeling. The proposed model, which is based on the fractional-order model (FOM), takes into account the various states of system components, including the impacted, degraded, and failed states. We proposed an effective framework to compute a more realistic system availability, even for real systems in which the effect of interdependence occurs. The proposed model is validated using a numerical example, which provides an evaluation of the interdependence effect on various system variables. Additionally, a set of managerial insights is formulated, providing practical implications for maintenance planning and decision-making in large multi-component production systems.

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Bahou Z, Krimi I, Elhachemi N, El Cadi AA (2022) Availability modelling and analysis of a two-component parallel system under stochastic dependence. Int J Math Oper Res (In press)

Amin MT, Khan F, Imtiaz S (2018) Dynamic availability assessment of safety critical systems using a dynamic Bayesian network. Reliabil Eng Syst Saf 178:108–117. https://doi.org/10.1016/j.ress.2018.05.017CrossRef

Vital RBN, e Melo PF, Medeiros JACC, Alvarenga MAB, (2022) Availability assessment of a nuclear reactor limitation system by a Timed Petri Net. Progress Nuclear Energy 152:104380. https://doi.org/10.1016/j.pnucene.2022.104380CrossRef

Leite M, Costa MA, Alves T, Infante V, Andrade AR (2022) Reliability and availability assessment of railway locomotive bogies under correlated failures. Eng Fail Anal 135:106104. https://doi.org/10.1016/j.engfailanal.2022.106104CrossRef

Konstantakopoulos GD, Gayialis SP, Kechagias EP (2020) Vehicle routing problem and related algorithms for logistics distribution: a literature review and classification. Oper Res. https://doi.org/10.1007/s12351-020-00600-7CrossRef

Martinod R, Estepa D, Paris C, Trujillo A, Pineda F, Castañeda L, Restrepo J (2015) Journey safety assessment to urban aerial ropeways transport systems based on continuous inspection during operation. J Transp Saf Secur 7(4):279–290. https://doi.org/10.1080/19439962.2014.942018CrossRef

Wanqiang Xi et al (2018) Type synthesis of coordinated multi-robot system based on parallel thought. Trans Can Soc Mech Eng 42(2):164–176. https://doi.org/10.1139/tcsme-2017-0053CrossRef

Kebede AA, Kalogiannis T, Van Mierlo J, Berecibar M (2022) A comprehensive review of stationary energy storage devices for large scale renewable energy sources grid integration. Renew Sustain Energy Rev 159:112213. https://doi.org/10.1016/j.rser.2022.112213CrossRef

Aguilar H, García-Villoria A, Pastor R (2020) A survey of the parallel assembly lines balancing problem. Comput Oper Res 124:105061. https://doi.org/10.1016/j.cor.2020.105061MathSciNetCrossRef

10.

Khoshnaw SH, Salih RH, Sulaimany S (2020) Mathematical modelling for coronavirus disease (COVID-19) in predicting future behaviours and sensitivity analysis. Math Modell Nat Phenom 15:33. https://doi.org/10.1051/mmnp/2020020MathSciNetCrossRef

11.

Ould Beinane SA, Lemnaouar MR, Zine R, Louartassi Y (2022) Stability analysis of COVID-19 epidemic model of type with fractional order. Math Probl Eng. https://doi.org/10.1155/2022/5163609CrossRef

12.

Lemnaouar MR, Khalfaoui M, Benazza H, Louartassi Y (2019) A fractional order for prey-predator model with reserve area in the presence of toxicity. In 2019 5th International Conference on Optimization and Applications (ICOA) pp 1–4. IEEE. https://doi.org/10.1109/ICOA.2019.8727656

13.

Lemnaouar MR, Khalfaoui M, Louartassi Y, Tolaimate I (2020) Fractional order prey-predator model with infected predators in the presence of competition and toxicity. Math Modell Nat Phenom 15:38. https://doi.org/10.1051/mmnp/2020002MathSciNetCrossRef

14.

Hattaf K, Dutta H (2020) Modeling the dynamics of viral infections in presence of latently infected cells. Chaos Solitons Fract 136:109916. https://doi.org/10.1016/j.chaos.2020.109916MathSciNetCrossRef

15.

Wang F, Chen D, Xu B, Zhang H (2016) Nonlinear dynamics of a novel fractional-order Francis hydro-turbine governing system with time delay. Chaos Solitons Fract 91:329–338. https://doi.org/10.1016/j.chaos.2016.06.018CrossRef

16.

Frenkel I, Lisnianski A, Khvatskin L (2012) Availability assessment for aging refrigeration system by using Lz-transform. J Reliabil Stat Stud. 5(2):33–43

17.

Daichman S, Frenkel I, Khvatskin L, Lisnianski A (2013) On aging components impact on multi-state water cooling system: L z-transform application for availability assessment. In: The International Conference on Digital Technologies 2013 pp 156–161. IEEE. https://doi.org/10.1109/DT.2013.6566304

18.

Meenakshi K, Singh SB (2016) Availability assessment of multi-state system by hybrid universal generating function and probability intervals. Int J Perform Eng 12(4):321–39

19.

Gupta P, Goyal A (2010) Availability assessment of a multi-state repairable bubble gum production system. In: 2010 IEEE International Conference on Industrial Engineering and Engineering Management pp 631–635. IEEE. https://doi.org/10.1109/IEEM.2010.5674521

20.

Thangamani G, Narendran TT, Subramanian R (1995) Assessment of availability of a fluid catalytic cracking unit through simulation. Reliabil Eng Syst Saf 47(3):207–220. https://doi.org/10.1016/0951-8320(94)00056-TCrossRef

21.

Hauptmanns U, Marx M, Grünbeck S (2008) Availability analysis for a fixed wet sprinkler system. Fire Saf J 43(7):468–476. https://doi.org/10.1016/j.firesaf.2008.03.002CrossRef

22.

Ebrahimipour V, Suzuki K (2005) An integrated model-based approach for evaluating and improving safety instruments in continuous process from the viewpoints of maintainability, reliability and availability-case study: offshore industry. J Chem Eng Jpn 38(6):436–445. https://doi.org/10.1252/jcej.38.436CrossRef

23.

Talebberrouane M, Khan F, Lounis Z (2016) Availability analysis of safety critical systems using advanced fault tree and stochastic Petri net formalisms. J Loss Prev Process Ind 44:193–203. https://doi.org/10.1016/j.jlp.2016.09.007CrossRef

24.

Rajpal PS, Shishodia KS, Sekhon GS (2006) An artificial neural network for modeling reliability, availability and maintainability of a repairable system. Reliabil Eng Syst Saf 91(7):809–819. https://doi.org/10.1016/j.ress.2005.08.004CrossRef

25.

Hassan J, Thodi P, Khan F (2016) Availability analysis of a LNG processing plant using the Markov process. J Qual Maint Eng 22(3):302–320. https://doi.org/10.1108/JQME-05-2012-0018CrossRef

26.

Weber P (2002) Dynamic bayesian networks model to estimate process availability. In: In 8th International Conference Quality, Reliability, Maintenance, CCF’02. Sinaia, Romania pp 184–189. MEDIAREX 21

27.

Neil M, Marquez D (2012) Availability modelling of repairable systems using Bayesian networks. Eng Appl Artif Intell 25(4):698–704. https://doi.org/10.1016/j.engappai.2010.06.003CrossRef

28.

Buldyrev SV, Parshani R, Paul G, Stanley HE, Havlin S (2010) Catastrophic cascade of failures in interdependent networks. Nature 464(7291):1025–1028. https://doi.org/10.1038/nature08932CrossRef

29.

Laprie JC, Kanoun K, Kaâniche M (2007) Modelling interdependencies between the electricity and information infrastructures. In: Computer Safety, Reliability, and Security: 26th International Conference, SAFECOMP 2007, Nuremberg, Germany, September 18–21, 2007. Proceedings 26 pp 54–67. Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-75101-4_5

30.

Rosato V, Issacharoff L, Tiriticco F, Meloni S, Porcellinis S, Setola R (2008) Modelling interdependent infrastructures using interacting dynamical models. Int J Crit Infrastruct 4(1–2):63–79. https://doi.org/10.1504/IJCIS.2008.016092CrossRef

31.

Kurant M, Thiran P (2006) Layered complex networks. Phys Rev Lett 96(13):138701. https://doi.org/10.1103/PhysRevLett.96.138701CrossRef

32.

Xu K, Tang LC, Xie M, Ho SL, Zhu ML (2002) Fuzzy assessment of FMEA for engine systems. Reliabil Eng Syst Saf 75(1):17–29. https://doi.org/10.1016/S0951-8320(01)00101-6CrossRef

33.

Shen GX, Sun SG, Zhang YZ, Wang ZQ, Chen BK, Ma C (2014) System failure analysis based on DEMATEL-ISM and FMECA. J Central South Univ 21:4518–4525. https://doi.org/10.1007/s11771-014-2456-8CrossRef

34.

Liu HC, You JX, Shan MM, Su Q (2019) Systematic failure mode and effect analysis using a hybrid multiple criteria decision-making approach. Total Qual Manage Bus Excell 30(5–6):537–564. https://doi.org/10.1080/14783363.2017.1317585CrossRef

35.

Shahin A, Labib A, Emami S, Karbasian M (2018) Improving Decision-Making Grid based on interdependence among failures with a case study in the steel industry. TQM J 31(2):167–182. https://doi.org/10.1108/TQM-03-2018-0043CrossRef

36.

George-Williams H, Patelli E (2017) Efficient availability assessment of reconfigurable complex multi-state systems with interdependencies. In: Risk, Reliability and Safety: Innovating Theory and Practice-Proceedings of the 26th European Safety and Reliability Conference, ESREL 2016 p 409

37.

Nourelfath M, Nahas N, Ben-Daya M (2016) Integrated preventive maintenance and production decisions for imperfect processes. Reliab Eng Syst Saf 148:21–31. https://doi.org/10.1016/j.ress.2015.11.015CrossRef

38.

Podlubny I (1999) An introduction to fractional derivatives, fractional differential equations, to methods of their solution and some of their applications. Math Sci Eng 198:340

39.

Matignon D (1996) Stability results for fractional differential equations with applications to control processing. Comput Eng Syst Appl 2(1):963–968

40.

Diethelm K, Freed AD (1998) The FracPECE subroutine for the numerical solution of differential equations of fractional order. Forschung und wissenschaftliches Rechnen 1999:57–71

41.

Diethelm K, Ford NJ, Freed AD (2004) Detailed error analysis for a fractional Adams method. Numer Algor 36:31–52. https://doi.org/10.1023/B:NUMA.0000027736.85078.beMathSciNetCrossRef

42.

Diethelm K (2003) Efficient solution of multi-term fractional differential equations using P (EC) m E methods. Computing 71:305–319. https://doi.org/10.1007/s00607-003-0033-3MathSciNetCrossRef

43.

Jaber AA, Bicker R (2014) The state of the art in research into the condition monitoring of industrial machinery. Int J Curr Eng Technol 4:1986–2001

44.

Li Y, Chen Y, Podlubny I (2010) Stability of fractional-order nonlinear dynamic systems: lyapunov direct method and generalized Mittag-Leffler stability. Comput Math Appl 59(5):1810–1821. https://doi.org/10.1016/j.camwa.2009.08.019. (4(3), 1986-2001)MathSciNetCrossRef

Titel: A dynamic availability analysis of an N-component production system with interdependency effects: a fractional-order approach
verfasst von: Ziyad Bahou
Mohamed Reda Lemnaouar
Issam Krimi
Publikationsdatum: 21.07.2023
Verlag: Springer Berlin Heidelberg
Erschienen in: Production Engineering / Ausgabe 1/2024
Print ISSN: 0944-6524
Elektronische ISSN: 1863-7353
DOI: https://doi.org/10.1007/s11740-023-01216-4

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