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International Journal of Cloud Computing and Database Management

Impact Factor (RJIF): 5.4, P-ISSN: 2707-5907, E-ISSN: 2707-5915
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2025, Vol. 6, Issue 2, Part A

Using machine learning to optimize cylinder block availability in a cast iron manufacturing plant


Author(s): Jyoti and Bhawana

Abstract: A chamber block in a cast iron facility has been under consideration for accessibility and efficiency in the ongoing development. The current paper aims to improve structure accessibility by advancing information aspects of the chamber block in the cast iron plant. Project Iron Plant primarily consists of five subsystems that are connected in series. Each subsystem's repair and disappointment rates as well as its transition rates are extracted from maintenance record sheets for analysis. Normalizing condition is consumed to get consistent state accessibility. Machine learning is the process that advances structure accessibility.

DOI: 10.33545/27075907.2025.v6.i2a.100

Pages: 29-33 | Views: 37 | Downloads: 11

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International Journal of Cloud Computing and Database Management
How to cite this article:
Jyoti, Bhawana. Using machine learning to optimize cylinder block availability in a cast iron manufacturing plant. Int J Cloud Comput Database Manage 2025;6(2):29-33. DOI: 10.33545/27075907.2025.v6.i2a.100
International Journal of Cloud Computing and Database Management

International Journal of Cloud Computing and Database Management

International Journal of Cloud Computing and Database Management
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