Effect of Failure Rate on the Availability Analysis of Nestle CERELAC Plant Using Markov Chain Method

Authors(2) :-Gurbinder Singh, Dr. Rakesh Kumar

In the performance analysis of production systems by using the traditional methods of engineering the knowledge of machine reliability factors is assumed to be precisely known. The current study entitled performance evaluation of food industry in India. To analyze and determine the availability of plant a case study has been undertaken from Moga Nestle food private limited industry in India. Various studies evaluating the performance of automated production systems with the help of modeling and simulation and analytical methods have always given priority to steady state performance as compared to transient performance. Production systems in which such kind of situations arises include systems with dysfunctional states and deadlocks, not stable queuing systems. This research work presents an approach for analyzing the performance of unreliable manufacturing systems that take care of uncertain machine factor estimates. The method that is being proposed is on the basis of Markov chain and probability density function discretization techniques for studying manufacture lines consist unreliable machines. To determine the performance of plant, important information has been collected from different systems and subsystems to find out long run availability of whole system.

Authors and Affiliations

Gurbinder Singh
M.Tech, MRSPTU, Bathinda, Department of Mechanical Engineering, North West Group of Institutions, Dhudike, Moga, Punjab, India
Dr. Rakesh Kumar
Department of Mechanical Engineering, North West Group of Institutions, Moga, Punjab, India

Maintenance policy, Maintenance, Availability, Replacement, Optimization.

  1. R.Ahmadia,"An optimal replacement policy for complex multi-components systems" International Journal of production Research, Volume 54 Issue 17, 2016, pages 5303-5316.
  2. Balram joshi (2016), "Performance modeling and availability analysis of cane Juice extraction system of sugar industry". IRD publications Volume Issue 5-6 pp I-16
  3. Navkiran Singh (2016), "Performance analysis or various sub system of process plant using markov chain method" IRD Publications volume Issue 5 pp 6-10
  4. H.A Jensena et al (2016). "Model reduction techniques for reliability-based design problems of complex structural systems", Reliability Engineering & System Safety, Volume 149. Pages 204-217
  5. Viswanathan Arunachalam et al (2015) "Some Useful Approximations for the Availability Function", International journal of Reliability, Quality and safety Engineering volume 22, Issue 02
  6. Zhaojunet at (2015), "Multi-objective and Multi-stage Reliability Growth Planning in Early Product Development stage", IEEE Transactions on Reliability, volume 6s. Issue 2 Pages769.
  7. Tarun Kumar Garg (2015), "Applications of CAS maxima to the availability analysis of screening unit in a paper plant", International journal of computer and mathematical sciences vol4, issue 6
  8. Kapil and Sanjay(2014), "Performance analysis of a selected system In a process industry, "International journal of current Engineering and Technology .issue 2 pplo4-108
  9. Kumar and Garg (2014), "Performance modeling and availability analysis of Malt screener system in a brewery plant", MNK publications. Vol 13 pp 201 209
  10. Manglik and Monika, "Reliability analysis of a two unit cold stander M process", Journal of Reliability and statistical studies 6 2 (2013) 65.30 7.

Publication Details

Published in : Volume 4 | Issue 11 | November-December 2018
Date of Publication : 2018-12-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 121-127
Manuscript Number : IJSRSET2184116
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Gurbinder Singh, Dr. Rakesh Kumar, " Effect of Failure Rate on the Availability Analysis of Nestle CERELAC Plant Using Markov Chain Method, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 11, pp.121-127, November-December-2018. Available at doi : https://doi.org/10.32628/IJSRSET2184116
Journal URL : http://ijsrset.com/IJSRSET2184116

Article Preview