Parameter estimation, reliability and maintainability analysis of sugar manufacturing plant

Monika Saini (), Ashish Kumar () and Deepak Sinwar
Additional contact information
Monika Saini: Manipal University Jaipur
Ashish Kumar: Manipal University Jaipur
Deepak Sinwar: Manipal University Jaipur

International Journal of System Assurance Engineering and Management, 2022, vol. 13, issue 1, No 16, 249 pages

Abstract: Abstract A sugar manufacturing plant is a complex industrial system having five subsystems arranged in a series configuration and each subsystem followed a different failure rate. Upon ensues of a random failure, the failed subsystem stops working and forces the complete system to stop and results in a downstate of the plant. The impact of downstate directly influences the production of plant and its reliability. Here, a reliability and maintainability analysis of the sugar manufacturing plant has been carried out at the subsystem and plant level. Data collection has been performed for six months from the sugar plant and descriptive statistical analysis has been made for time to repair and time between failures. The best-fitted distribution and parameters were determined along with trend and serial correlation analysis to attain the best performance of the plant. Additionally, graphs for reliability and hazard rate modes for five subsystems and the entire plant were depicted. The suggested models might be a suitable tool towards (a) considering the recent conditions, and (b) forecasting reliability for refining the sugar manufacturing plant by applying proper maintenance policy.

Keywords: Sugar manufacturing plant; Parameter estimation; Failure rate; Trend; Serial correlation (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s13198-021-01216-6 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:13:y:2022:i:1:d:10.1007_s13198-021-01216-6

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

DOI: 10.1007/s13198-021-01216-6

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 ().