Reliability assessment of an industrial system considering failures in its raw material inventory

Monika () and Garima Chopra ()
Additional contact information
Monika: Maharshi Dayanand University
Garima Chopra: Maharshi Dayanand University

International Journal of System Assurance Engineering and Management, 2024, vol. 15, issue 6, No 55, 2704-2714

Abstract: Abstract The perishable nature of food signifies that managing raw material inventory is a crucial aspect of the food industry. The present study focuses on the reliability assessment of a food industrial system, considering the synchronization of its raw material inventory and its food processing module. The raw material inventory encounters two distinct types of failures: one arises from the shortage of raw material, while the other stems from malfunctions in the inventory’s cooling system. An inspection is conducted to detect the type of failure in the raw material inventory. Two types of repairmen, namely operator and fitter, are employed to address the failures occurring in both the raw material inventory and the food processing module. The semi-Markov process and regenerative point technique are deployed for the dual purpose of evaluating the reliability indices and conducting availability sensitivity analysis so as to provide guidance to the manufacturers for enhancing the processing of production lines.

Keywords: Raw material inventory; Food processing module; Regenerative point technique; Availability sensitivity analysis (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s13198-024-02291-1 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:15:y:2024:i:6:d:10.1007_s13198-024-02291-1

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

DOI: 10.1007/s13198-024-02291-1

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 ().