Availability analysis and performance optimization of a butter oil production system: a case study

Anil Kr. Aggarwal (), Vikram Singh () and Sanjeev Kumar ()
Additional contact information
Anil Kr. Aggarwal: YMCA University of Science and Technology (YMCAUST)
Vikram Singh: YMCA University of Science and Technology (YMCAUST)
Sanjeev Kumar: YMCA University of Science and Technology (YMCAUST)

International Journal of System Assurance Engineering and Management, 2017, vol. 8, issue 1, No 50, 538-554

Abstract: Abstract This paper proposes a method for time dependent system availability (TDSA) analysis of butter oil production system and the performance of the system is optimized using genetic algorithm. The mathematical formulation of the system based on Markov birth–death process is carried out and first order Chapman–Kolmogorov differential equations are developed based on the assumption that the failure and repair rate of each subsystem follows exponential distribution. The proposed method i.e. an adaptive step-size control Runge–Kutta method is used to compute TDSA and mean time between failures for butter oil production system of a dairy plant. The butter oil production system is a complex system and comprises of seven repairable subsystems. The results are presented and discussed with the plant personnel to adopt and practice suitable maintenance policies/strategies to enhance the productivity and quality of butter oil.

Keywords: Markov modeling; Markov birth–death process; Chapman–Kolmogorov differential equations; Time dependent system availability (TDSA); Runge–Kutta method; Mean time between failures (MTBF); Genetic algorithm (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://link.springer.com/10.1007/s13198-014-0310-x Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ijsaem:v:8:y:2017:i:1:d:10.1007_s13198-014-0310-x

Ordering information: This journal article can be ordered from
http://www.springer.com/engineering/journal/13198

DOI: 10.1007/s13198-014-0310-x

Access Statistics for this article

International Journal of System Assurance Engineering and Management is currently edited by P.K. Kapur, A.K. Verma and U. Kumar

More articles in International Journal of System Assurance Engineering and Management from Springer, The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().