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Performance assessment of industrial system (African Textile Manufacturers, LTD) through copula linguistic approach

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper deals with the performance assessment of a textile industry, namely African Textile Manufactures (ATM) Ltd., in Chalawa, Kano industrial estate, Federal Republic of Nigeria. The entire system ATM has different sections of machines for processing various assignments. The machines in the sections have diverse capabilities. We assumed the following subsystems: spinning, weaving, pretreatment, printing, and steaming. The failure rates of subsystems are constant, and they follow exponential distribution, while the repairs follow two types of distributions, namely general distribution and Gumbel–Hougaard family copula distribution. The system analyzed by employing supplementary variable and the Laplace transform. Various measures of reliability have been computed for differential values of failures and two types of repair. The conclusions and some recommendations are addressed to improving the management of ATM.
Rocznik
Strony
5--22
Opis fizyczny
Bibliogr. 21 poz., rys.
Twórcy
  • Department of Mathematics, Kano University of Science and Technology, Wudil, Kano State, Nigeria
  • Department of Mathematics, Yusuf Maitama Sule University, Kano State, Nigeria
Bibliografia
  • [1] GHEISARI A., GOLI S., A study on the multi-state (r, s)-out-of-n systems with dependent components, Int. J. Rel. Risk Saf., 2018, 1 (1), 11–16.
  • [2] LADO A., SINGH V.V., ISMAIL K.H., IBRAHIM Y., Performance and cost assessment of repairable complex system with two subsystems connected in series configuration, Int. J. Rel. Appl., 2018, 19 (1), 27–42.
  • [3] LADO A., SINGH V.V., Cost assessment of complex repairable system consisting of two subsystems in the series configuration using Gumbel–Hougaard family copula, Int. J. Qual. Rel. Manage., 2019, 36 (10), 1683–1698.
  • [4] RAWAL D.K., RAM M., SINGH V.V., Study of reliability measures of a local area network via copula linguistics approach, Int. J. Qual. Rel. Manage., Emerald, 2015, 32 (1), 97–111, 2015.
  • [5] KUMAR D., SINGH S.B., Stochastic analysis of the complex repairable system with deliberate failure emphasizing reboot delay, Comm. Stat.-Simul. Comp., 2016, 45, 1–20.
  • [6] RAWAL D.K., RAM M., SINGH V.V., Modeling and availability analysis of internet data center with various maintenance policies, Int. J. Eng., Trans. A, Basics, 2014, 27 (4), 599–608.
  • [7] GARG H., An approach of analyzing the reliability of industrial system using fuzzy Kolmogorov’s differential equation, Arab. J. Sci. Eng., 2015, 40, 975–987.
  • [8] GARG H., RANI SHARMA S.P., Preventive maintenance scheduling of the pulping unit in a paper plant, Japan J. Appl. Math., 2013, 30, 397–414.
  • [9] YUSUF I., GATAWA R.I., SLEIMAN K., Availability analysis of a consecutive three stages deteriorating standby system considering maintenance and replacement, J. Math. Sci. Model., 2018, 1 (1), 21–26.
  • [10] KAUR M., LARA A.K., BHATIA S.S., REDDY A.S., Corrective maintenance data for performance analysis of the preventively maintained textile industry, J. Rel. Stat. Studies, 2013, 6 (2), 155–163.
  • [11] GAHLOT M., SINGH V.V., AYAGI H., GOEL C.K., Performance assessment of repairable system in series configuration under different types of failure and repair policies using copula linguistics, Int. J. Rel. Safe., 2018, 12 (4), 348–374.
  • [12] NIWAS R., GARG H., An approach for analyzing the reliability and profit of an industrial system based on the cost-free warranty policy, J. Brazil. Soc. Mech. Eng., 2018, 40, 1–9.
  • [13] QIU Q., CUI L., Availability analysis for general repairable systems with repair time threshold, Comm. Stat. Theory Meth., 2017, 48 (3), 1–20.
  • [14] QIU Q., CUI L., GAO H., Availability and maintenance modeling for systems subject to multiple failure models, J. Comp. Ind. Eng., 2017, 108, 192–198.
  • [15] QIU Q., CUI L., SHEN J., Availability and maintenance modeling for systems subject to dependent hard and soft failures, Appl. Stoch. Mod. Bus. Ind., 2018, 34 (4), 513–527.
  • [16] NELSEN R.B., An introduction to copulas, 2nd Ed., Springer, New York 2006.
  • [17] RAM M., SINGH S.B., SINGH V.V., Stochastic analysis of a standby system with waiting repair strategy, IEEE Trans. Syst., Manage., Cyber. Syst., 2013, 43 (3), 698–707.
  • [18] TAJ S.Z., RIZMAN S.M., ALKALI B.M., Probabilistic modeling and analysis of a cable plant subsystem with priority to repair over preventive maintenance, Manage. J. Math., 2017, 6 (3), 13–21.
  • [19] SINGH V.V., RAWAL D.K., Stochastic analysis of N-unit plant with different types of failure and repair policy using copula distribution, J. Rel. Stat. Stud., 2015, 8 (2), 119–133.
  • [20] SINGH V.V., SINGH S.B., RAM M., GOEL C.K., Availability of a system having three units. Superpriority, priority and ordinary under preemptive resume policy, Int. J. Rel. Appl., 2010, 11 (1), 41–53.
  • [21] SINGH V.V., RAWAL D.K., Availability, MTTF, and cost analysis of complex system under preemptive resume repair policy using copula distribution, J. Stat. Oper. Res., 2014, 10 (3), 299–321.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-4f12d231-9ee9-457f-b95f-b8c1883c65e9
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