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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

Sensitivity analysis and stochastic modeling of a biscuit making plant


Author(s): Meenu and Bhawana

Abstract: Numerous industrial and other contexts commonly use standby systems. When all of redundant components start functioning at the same time, parallel redundancy takes place. A system is one where backup units, often known as standbys, are positioned behind the primary unit. Three varieties of standby exist generally: warm, cool, and hot. Standbys that are loaded similarly to the operational unit are referred to as hot standbys. This study uses RPGT to do a sensitivity analysis of a biscuit manufacturing factory with three units that have a consistent failure and repair rate. Tables and graphs are used to illustrate the impact of unit failure or repair rates on system performance metrics, with some units' rates remaining constant while others fluctuate for various units. Discussions follow.

DOI: 10.33545/27075907.2025.v6.i2a.99

Pages: 22-28 | Views: 37 | Downloads: 12

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International Journal of Cloud Computing and Database Management
How to cite this article:
Meenu, Bhawana. Sensitivity analysis and stochastic modeling of a biscuit making plant. Int J Cloud Comput Database Manage 2025;6(2):22-28. DOI: 10.33545/27075907.2025.v6.i2a.99
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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