STOCHASTIC MODELING AND SENSITIVITY ANALYSIS OF AN INTEGRATED HARDWARE-SOFTWARE SYSTEM SUBJECT TO DIFFERENT WEATHER CONDITIONS
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Published:
Oct 31, 2021
Keywords:
Integrated Hardware-Software System, Hardware failure, Software up-gradation, Weather conditions and Precautionary Maintenance.
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Abstract
The current study covenants with stochastic investigation of an integrated hardware-software system considering hardware failure, software up-gradation upon failure, precautionary maintenance (PM) after a pre-determined process time, maximum repair time of hardware and different weather conditions. All time dependent indiscriminate variables are arbitrarily dispersed. Some important reliability measures like MTSF, availability and revenue of the system are obtained by using well established techniques semi-Markov process. Regenerative point technique has also been taken into consideration during model development. Sensitivity analysis of these measures is also performed. Finally, empirical analysis is done to demonstrate the results for a specific case. To climax the significance of the study, graphs of MTSF, availability, profit and sensitivity are also depicted.
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How to Cite
Saini, M., & Kumar, A. (2021). STOCHASTIC MODELING AND SENSITIVITY ANALYSIS OF AN INTEGRATED HARDWARE-SOFTWARE SYSTEM SUBJECT TO DIFFERENT WEATHER CONDITIONS. Malaysian Journal of Science, 40(3), 54–63. https://doi.org/10.22452/mjs.vol40no3.5
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Original Articles
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References
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9. Kumar, A. and Malik, S.C.(2011). Profit analysis of a computer system with priority to software replacement over hardware repair subject to maximum operation and repair times, International Journal of Engineering Science and Technology, 3, No. 10, 7452-7468.
10. Kumar, A and Malik, S.C. (2012). Stochastic modeling of a computer system with priority to PM over S/W replacement subject to maximum operation and repair times, International Journal of Computer Applications, 43, No. 3, 27-34.
11. Barak, A.K., Barak, M.S. & Malik, S.C. (2014) Reliability Analysis of a Single-Unit System with Inspection Subject to Different Weather Conditions, Journal of Statistics and Management Systems, 17:2, 195-206.
12. Kumar, A. and Saini, M. (2014), Cost-Benefit Analysis of a Single-Unit System with Preventive Maintenance and Weibull Distribution for Failure and Repair Activities, Journal of Applied Mathematics, Statistics and Informatics, Vol. 10(2), pp. 5-19.
13. Barak, A.K. & Barak, M.S. (2016). Impact of Abnormal Weather Conditions on Various Reliability Measures of a Repairable System with Inspection. Thailand Statistician, 14(1), 35-45.
14. Malik, S.C. and Barak, M.S. (2007): Probabilistic analysis of a single-server system operating under different weather conditions, Journal of Mathematical Analysis and Approximation Theory, Vol. 2(2), pp. 173-182.
15. Malik, S.C. and Pawar, D. (2010): Reliability and economic measures of a system with inspection for on-line repair and no repair activity in abnormal weather, Bulletin of Pure and Applied Sciences, Volume 29 E, Issue 2, p.p. 355-368.
2. Welke, S. R., B. W. Johnson and J. H. Aylar (1995). Reliability modeling of hardware / software systems. IEEE Transactions on Reliability, 44(3), 413-418.
3. Lai, C. D., M. Xie, K. L. Poh, Y. S. Dai and P. Yang (2002). A model for availability analysis of distributed software / hardware systems. Information and Software Technology, 44, 343-350.
4. Malikk, S. C. and J. Anand (2010). Reliability and Economic Analysis of a Computer System with Independent Hardware and Software Failures. Bulletin of Pure and Applied Sciences, 29E(1), 141-153.
5. Kumar, A., & Malik, S. C. (2014). Reliability Modelling of a Computer System with Priority to H/W Repair over Replacement of H/W and Up-gradation of S/W Subject to MOT and MRT. Jordan Journal of Mechanical and Industrial Engineering, 8(4), pp. 233-241.
6. Kumar, A., Malik, S. C., & Barak, M. S. (2012). Reliability Modelling of a Computer System with Independent H/W and S/W Failures Subject to Maximum Operation and Repair Times. International Journal of Mathematical Archive, 3(7).
7. Malik, S.C. and Anand, J. (2010), Reliability and economic analysis of a computer system with independent hardware and software failures, Bulletin of Pure and Applied Sciences, 29E (Math. & Stat.), No. 1, 141-153.
8. Malik, S.C and Nandal, P. (2010). Cost-Analysis of Stochastic Models with Priority to Repair Over Preventive Maintenance Subject to Maximum Operation Time, Edited Book, Learning Manual on Modeling, Optimization and Their Applications, Excel India Publishers, 165-178.
9. Kumar, A. and Malik, S.C.(2011). Profit analysis of a computer system with priority to software replacement over hardware repair subject to maximum operation and repair times, International Journal of Engineering Science and Technology, 3, No. 10, 7452-7468.
10. Kumar, A and Malik, S.C. (2012). Stochastic modeling of a computer system with priority to PM over S/W replacement subject to maximum operation and repair times, International Journal of Computer Applications, 43, No. 3, 27-34.
11. Barak, A.K., Barak, M.S. & Malik, S.C. (2014) Reliability Analysis of a Single-Unit System with Inspection Subject to Different Weather Conditions, Journal of Statistics and Management Systems, 17:2, 195-206.
12. Kumar, A. and Saini, M. (2014), Cost-Benefit Analysis of a Single-Unit System with Preventive Maintenance and Weibull Distribution for Failure and Repair Activities, Journal of Applied Mathematics, Statistics and Informatics, Vol. 10(2), pp. 5-19.
13. Barak, A.K. & Barak, M.S. (2016). Impact of Abnormal Weather Conditions on Various Reliability Measures of a Repairable System with Inspection. Thailand Statistician, 14(1), 35-45.
14. Malik, S.C. and Barak, M.S. (2007): Probabilistic analysis of a single-server system operating under different weather conditions, Journal of Mathematical Analysis and Approximation Theory, Vol. 2(2), pp. 173-182.
15. Malik, S.C. and Pawar, D. (2010): Reliability and economic measures of a system with inspection for on-line repair and no repair activity in abnormal weather, Bulletin of Pure and Applied Sciences, Volume 29 E, Issue 2, p.p. 355-368.