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Performance analysis of evaporation system in sugar industry using RAMD analysis

  • Monika Saini
  • Ashish KumarEmail author
Technical Paper
  • 13 Downloads

Abstract

The main aim of this study is to analyze the application of reliability, availability, maintainability and dependability in identification of most sensitive subsystem of evaporation system in sugar plant. For this analysis, transition diagram of all subsystems is drawn and respective Chapman–Kolmogorov differential equations are derived using Markov birth–death process. All failure and repair rates of each subsystem are exponentially distributed. Various measures of system effectiveness like mean time between failures, mean time to repair and dependability ratio for all the three subsystems are also computed. Sensitivity analysis of system reliability is also performed. The reliability and maintainability are estimated at various time instants. Analysis of all the subsystems shows that sulphited syrup is highly sensitive from reliability point of view. The derived measures are shared with system designers for their active deliberation.

Keywords

Evaporation system Markov birth–death process Mean time to system failure Mean time to failure Sensitivity analysis Exponential distribution 

Notes

References

  1. 1.
    Barlow R, Proschan E (1965) Mathematical theory of reliability. Wieley, New YorkzbMATHGoogle Scholar
  2. 2.
    Kumar D, Singh J, Singh IP (1988) Availability of feeding system in sugar industry. Microelectron Reliab 28(6):867–871CrossRefGoogle Scholar
  3. 3.
    Kumar D, Singh J, Pandey PC (1992) Availability of the crystallization system in the sugar industry under common-cause failure. IEEE Trans Reliab 41(1):85–91CrossRefGoogle Scholar
  4. 4.
    Kumar S, Mehta NP, Kumar D (1996) Behavioral analysis of shell gasification and carbon recovery process in urea fertilizer plant. Microelectron Reliab 36(5):671–673CrossRefGoogle Scholar
  5. 5.
    Wohl JG (1996) System operational readiness and equipment dependability. IEEE Trans Reliab 15(1):1–6CrossRefGoogle Scholar
  6. 6.
    Oystein M (1998) Use of reliability technology in process industry. Reliab Eng Syst Saf 60:179–181Google Scholar
  7. 7.
    Kumar S (1999) Process design, maintenance planning and resource allocation in process industries. Ph.D. thesis, Kurkushetra University Kurkushetra, IndiaGoogle Scholar
  8. 8.
    Ebeling A (2000) An introduction to reliability and maintainability engineering. Tata Mcgraw Hill Company Ltd, New DelhiGoogle Scholar
  9. 9.
    Waeyenbergh G, Pintelon L (2004) Maintenance concept development a case study. Int J Prod Econ 89(3):395–405CrossRefGoogle Scholar
  10. 10.
    Sharma R, Kumar D, Kumar P (2006) Manufacturing excellence through TPM implementation-a practical analysis. Ind Manag Data Syst 106(2):250–280CrossRefGoogle Scholar
  11. 11.
    Sharma RK, Kumar S (2008) Performance modeling in critical engineering systems using RAM analysis. Reliab Eng Syst Saf 93:891–897CrossRefGoogle Scholar
  12. 12.
    Barabady J, Kumar U (2008) Reliability analysis of mining equipment: a case study of crushing plant at Jajarm Bauxite Mine in Iran. Reliab Eng Syst Saf 93(4):647–653CrossRefGoogle Scholar
  13. 13.
    Adhikary DD, Bose GK, Chattopadhyay S, Bose D, Mitra S (2012) RAM investigation of coal- fired thermal power plants: a case study. Int J Ind Eng Comput 3:423–434Google Scholar
  14. 14.
    Sharma KR, Sharma P (2012) Integrated framework to optimize RAM and cost decisions in a process plant. J Loss Prev Process Ind 25(6):883–904CrossRefGoogle Scholar
  15. 15.
    Kumar A (2013) Reliability and cost-benefit analysis of computer systems subject to maximum operation and repair time. Ph.D. thesis, Maharishi Dayanand University, Rohtak, IndiaGoogle Scholar
  16. 16.
    Sharma G, Khanduja R (2013) Performance evaluation and availability analysis of feeding system in a sugar industry. Int J Res Eng Appl Sci 3(9):38–50Google Scholar
  17. 17.
    Sharma SP, Vishwakarma Y (2014) Application of Markov process in performance analysis of refining system of sugar industry. J Ind Math.  https://doi.org/10.1155/2014/593176 CrossRefGoogle Scholar
  18. 18.
    Aggarwal A, Kumar S, Singh V (2015) Performance modeling of the skim milk powder production system of a dairy plant using RAMD analysis. Int J Qual Reliab Manag 32(2):167–181CrossRefGoogle Scholar
  19. 19.
    Kadyan MS, Kumar R (2015) Availability and profit analysis of a feeding system in sugar industry. Int J Syst Assur Eng Manag 8(1):301–316Google Scholar
  20. 20.
    Ram M, Kumar A (2015) Performability analysis of a system under 1-out-of-2: G scheme with perfect reworking. J Braz Soc Mech Sci Eng 37:1029.  https://doi.org/10.1007/s40430-014-0227-y CrossRefGoogle Scholar
  21. 21.
    Parida A, Kumar U, Galar D, Stenström C (2015) Performance measurement and management for maintenance: a literature review. J Qual Maint Eng 21(1):2–33CrossRefGoogle Scholar
  22. 22.
    De Sanctis I, Paciarotti C, Di Giovine O (2016) Integration between RCM and RAM: a case study. Int J Qual Reliab Manag 33(6):852–880CrossRefGoogle Scholar
  23. 23.
    Sinha RS, Mukhopadhyay AK (2016) Failure analysis of jaw crusher and its components using ANOVA. J Braz Soc Mech Sci Eng 38(2):665–678CrossRefGoogle Scholar
  24. 24.
    Aggarwal AK, Kumar S, Singh V (2017) Performance modeling of the serial processes in refining system of a sugar plant using RAMD analysis. Int J Syst Assur Eng Manag 8(2):1910–1922CrossRefGoogle Scholar
  25. 25.
    Aggarwal AK, Kumar S, Singh V (2017) Mathematical modeling and fuzzy availability analysis for serial processes in the crystallization system of a sugar plant. J Ind Eng Int 13(1):47–58CrossRefGoogle Scholar
  26. 26.
    Garg H (2017) Performance analysis of an industrial system using soft computing based hybridized technique. J Braz Soc Mech Sci Eng 39(4):1441–1451CrossRefGoogle Scholar
  27. 27.
    Ghosh C, Maiti J, Shafiee M, Kumaraswamy KG (2017) Reduction of life cycle costs for a contemporary helicopter through improvement of reliability and maintainability parameters. Int J Qual Reliab Manag 35(2):545–567CrossRefGoogle Scholar
  28. 28.
    Kumar A, Saini M (2017) Mathematical modeling of sugar plant: a fuzzy approach. Life Cycle Reliab Saf Eng.  https://doi.org/10.1007/s41872-017-0038-0 CrossRefGoogle Scholar
  29. 29.
    Kadyan MS, Kumar R (2017) Availability based operational behavior of B-Pan crystallization system in the sugar industry. Int J Syst Assur Eng Manag 8(2):1450–1460CrossRefGoogle Scholar
  30. 30.
    Tsarouhas P, Besseris G (2017) Maintainability analysis in shaving blades industry: a case study. Int J Qual Reliab Manag 34(4):581–594CrossRefGoogle Scholar
  31. 31.
    Tsarouhas P, Makrygianni M (2017) A framework for maintenance and combat readiness management of a jet fighter aircraft. Int J Syst Assur Eng Manag 8(2):1895–1909CrossRefGoogle Scholar
  32. 32.
    Niwas R, Garg H (2018) An approach for analyzing the reliability and profit of an industrial system based on the cost free warranty policy. J Braz Soc Mech Sci Eng 40:265.  https://doi.org/10.1007/s40430-018-1167-8 CrossRefGoogle Scholar
  33. 33.
    Pandey P, Mukhopadhyay AK, Chattopadhyaya S (2018) Reliability analysis and failure rate evaluation for critical subsystems of the dragline. J Braz Soc Mech Sci Eng 40:50.  https://doi.org/10.1007/s40430-018-1016-9 CrossRefGoogle Scholar
  34. 34.
    Tsarouhas P (2018) Reliability, availability and maintainability (RAM) analysis for wine packaging production line. Int J Qual Reliab Manag 35(3):821–842CrossRefGoogle Scholar
  35. 35.
    Choudhary D, Tripathi M, Shankar R (2019) Reliability, availability and maintainability analysis of a cement plant: a case study. Int J Qual Reliab Manag.  https://doi.org/10.1108/IJQRM-10-2017-0215 CrossRefGoogle Scholar

Copyright information

© The Brazilian Society of Mechanical Sciences and Engineering 2019

Authors and Affiliations

  1. 1.Department of Mathematics and StatisticsManipal University JaipurJaipurIndia

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