RAMD analysis of mixed standby serial manufacturing system

Year 2024, Volume: 42 Issue: 4, 1116 - 1132, 01.08.2024

Abdulkarim Muazu Iggi İbrahim Yusuf

Abstract

This study aimed to increase textile manufacturing system dependability, reliability, maintain-ability, availability, and metrics like MTBF and MTTF by boosting RAMD. The textile system under investigation is a serial system consisting of five subsystems, which are; subsystem A is weaving section, subsystem B is the dry clean section, subsystem C is the cross cut section, subsystem D is the side seam section and subsystem E is the cleaning section. Each of the subsystem consist of main unit, warm standby unit and cold standby unit. For design and pre-diction, the Markovian birth-death method is employed to assemble the system governing the differential difference equation from the state-to-state transition diagram. The rates of repair and failure of each subsystem are exponentially distributed and statistically independent. For several subsystems of the system, the findings for RAMD, all of which are crucial to system performance, have been acquired and shown in figures and tables. Furthermore, the results of this study reveal that the highest system performance and dependability may be achieved when the overall system failure rate is low. The findings of this research are thought to be valu-able for analyzing performance and determining the best system design and feasible main-tenance strategies that may be used in the future to improve system performance, strength, effectiveness, production output as well as revenue mobilization.

Keywords

Availability, Exponential, Lindley, Exponentiated Weibull, Reliability, Textile

References

• REFERENCES
• [1] Aggarwal AK, Kumar S, Singh V. Performance modeling of the serial processes in refining system of a sugar plant using RAMD analysis. Int J Syst Assur Eng Manag 2017;8:1910–1922. [CrossRef]
• [2] Aggarwal AK, Kumar S, Singh V. Reliability and availability analysis of the serial processes in skim milk powder system of a dairy plant: a case study. Int J Ind Syst 2016;22:3662. [CrossRef]
• [3] Kumar A, Pant S, Singh SB. Availability and cost analysis of an engineering system involving subsystems in series configuration. Int J Qual Reliabil Manag 2017;34:879– 894. [CrossRef]
• [4] Corvaro F, Giacchetta G, Marchetti B, Recanati M. Reliability, availability, maintainability (RAM) study on reciprocating compressors API 618. Petroleum 2017;3:266272. [CrossRef]
• [5] Garg H. Reliability, Availability and Maintainability analysis of industrial system using PSO and fuzzy methodology. MAPAN-J Metrol Soc India 2014;29:115129. [CrossRef]
• [6] Velmurugan K, Venkumar P, Sudhakarapandian R. Reliability availability maintainability analysis in forming industry. Int J Eng Adv Technol 2019;9:822–828. [CrossRef]
• [7] Jagtap HP, Bewoor AK, Kumar R, Ahmadi MH, Assad MEH, Sharifpur M. RAM analysis and availability optimization of thermal power plant water circulation system using PSO. Energy Rep 2021;7:1133–1153. [CrossRef]
• [8] Jakkula B, Mandela G, Chivukula S. Reliability, availability and maintainability (RAM) investigation of Load Haul Dumpers (LHDs): a case study. Int J Syst Assur Eng Manag 2022;13:504–515. [CrossRef]
• [9] Goyal D, Kumari A, Saini M, Joshi H. Reliability, maintainability and sensitivity analysis of physical processing unit of sewage treatment plant. SN Appl Sci 2019;1:1507. [CrossRef]
• [10] Danjuma MU, Yusuf B, Yusuf I. Reliability, availability, maintainability, and dependability analysis of cold standby series-parallel system. J Comput Cogn Eng 2022;1–8.
• [11] Choudhary D, Tripathi M, Shankar R. Reliability, availability and maintainability analysis of a cement plant: a case study. Int J Qual Reliab Manag 2019;36:298313. [CrossRef]
• [12] Gupta N, Kumar A, Saini M. Reliability and maintainability investigation of generator in steam turbine power plant using RAMD analysis. J Phys Conf Ser 2021;1714:012009. [CrossRef]
• [13] Kumar A, Singh R, Saini M, Dahiya O. Reliability, availability and maintainability analysis to improve the operational performance of soft water treatment and supply plant. J Eng Sci Technol Rev 2020;13:183–192. [CrossRef]
• [14] Kumari A, Saini M, Patil RB, Al-Dahidi S, Mellal MA. Reliability, availability, maintainability, and dependability analysis of tube-wells integrated with underground pipelines in agricultural fields. Adv Mech Eng 2022;14:1–17. [CrossRef]
• [15] Saini M, Kumar A. Performance analysis of evaporation system in sugar industry using RAMD analysis. J Braz Soc Mech Sci Eng 2019;41:4. [CrossRef]
• [16] Saini M, Kumar A, Shankar VG. A study of microprocessor systems using RAMD approach. Life Cycle Reliab Saf Eng 2020;9:181194. [CrossRef]
• [17] Saini M, Kumar A, Sinwar D. Parameter estimation, reliability and maintainability analysis of sugar manufacturing plant. Int J Syst Assur Eng Manag 2022;13:231–249. [CrossRef]
• [18] Saini M, Yadav J, Kumar A. Reliability, availability and maintainability analysis of hot standby database systems. Int J Syst Assur Eng Manag 2022;13:2458–2471. [CrossRef]
• [19] Soltanali H, Garmabaki AH, Thaduri A. Sustainable production process: an application of reliability, availability, and maintainability methodologies in automotive manufacturing. Proc IMechE Part O: J Risk Reliabil 2019;233:682–697. [CrossRef]
• [20] Kumar A, Goyal D, Saini M. Reliability and maintainability analysis of power generating unit of sewage treatment plant. Int J Stat Reliab Eng 2020;7:41–48.
• [21] Yen TC, Wang KH. Cost benefit analysis of four retrial systems with warm standby units and imperfect coverage. Reliab Eng Syst Saf 2020;202. [CrossRef]
• [22] El-Ghamry E, Muse AH, Aldallal R, Mohamed MS. Availability and reliability analysis of a k-out-of-n warm standby system with common-cause failure and fuzzy failure and repair rates. Math Probl Eng 2022;2022:111. [CrossRef]
• [23] Jia H, Liu D, Li Y, Ding Y, Liu M, Peng R. Reliability evaluation of power systems with multi-state warm standby and multi-state performance sharing mechanism. Reliab Eng Syst Saf 2020;204:107139. [CrossRef]
• [24] Kumar A, Malik SC, Pawar D. Profit analysis of a warm standby non-identical units system with single server subject to priority. Int J Future Revolut Comput Sci Commun Eng 2018;4:108–112.
• [25] Liu ZC, Hu LM, Liu SJ, Wang YY. Reliability analysis of a warm standby series-parallel system with different switches and bi-uncertain lifetimes. Iran J Fuzzy Syst 2021;18:187202.
• [26] Tenekedjiev K, Cooley S, Mednikarov B, Fan G, Nikolova N. Reliability simulation of two component warm-standby system with repair, switching, and back-switching failures under three aging assumptions. Mathematics. 2021;9:2547. [CrossRef]
• [27] Kumar A, Pawar D, Malik SC. Profit analysis of a warm standby non-identical unit system with single server performing in normal/abnormal environment. Life Cycle Reliab Saf Eng 2019;8:219–226. [CrossRef]
• [28] Kumar A, Pawar D, Malik SC. Economic analysis of a warm standby system with single server. Int J Math Stat Invent 2018;6:1–6.
• [29] Kumari U, Sharma DC. Performance analysis of a warm standby machine repair problem with servers vacation, impatient and controlling F-policy. MESA 2021;12:121.