Stochastic modeling and availability optimization of biscuit manufacturing plants using Markovian approach and hybrid GA-PSO algorithm

Stochastic modeling and availability optimization of biscuit manufacturing plants using Markovian approach and hybrid GA-PSO algorithm

Abstract The main objective of the present study is to predict the optimal availability of biscuit manufacturing plants using genetic algorithm (GA), particle swarm optimization (PSO), and Hybrid GA-PSO algorithms. The biscuit manufacturing system (BMS) is a complex industrial entity having six comp...

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Bibliographic Details
Main Authors: Ashish Kumar, Naveen Kumar, Monika Saini
Format: Article
Language:English
Published: Springer 2025-06-01
Series:Discover Sustainability
Subjects:
Biscuits manufacturing plant
RAMD
Markov birth–death process
Hybrid GA-PSO
Stochastic modeling
Online Access:https://doi.org/10.1007/s43621-025-01367-7
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https://doi.org/10.1007/s43621-025-01367-7

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