Stochastic modeling and availability optimization of reverse osmosis water purification system using metaheuristic algorithms

PurposeThe main objective of the present investigation is to develop a novel efficient stochastic model for availability optimization of reverse osmosis machine system (ROMS) for water purification under the concepts of exponentially distributed decision variables and various redundancy strategies a...

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Bibliographic Details
Published in:Journal of quality in maintenance engineering Vol. 30; no. 4; pp. 584 - 604
Main Authors: Saini, Monika, Kumar, Naveen, Sinwar, Deepak, Kumar, Ashish
Format: Journal Article
Language:English
Published: Bradford Emerald Publishing Limited 14.11.2024
Emerald Group Publishing Limited
Subjects:
Activated carbon
Algorithms
Availability
Breakdowns
Complex variables
Desalination
Design optimization
Difference equations
Differential equations
Drinking water
Efficiency
Engineers
Heuristic methods
Mathematical models
Optimization algorithms
Optimization techniques
Redundancy
Reverse osmosis
Stochastic models
Subsystems
Water purification
Water quality
Water treatment
Whales & whaling
Availability optimization
Grasshopper optimization algorithm
Stochastic modeling
Reverse osmosis water purification
Whale optimization algorithm
Dragonfly algorithm
ISSN:1355-2511, 1758-7832
Online Access:Get full text
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Summary:PurposeThe main objective of the present investigation is to develop a novel efficient stochastic model for availability optimization of reverse osmosis machine system (ROMS) for water purification under the concepts of exponentially distributed decision variables and various redundancy strategies at the component level.Design/methodology/approachROMS is a complex framework configured in a series structure using six subsystems. Initially, a state transition diagram is developed and Chapman–Kolmogorov differential-difference equations are derived using Markov birth death process. The steady-state availability of the ROMS is derived for a particular case. The impact of variation in failure and repair rates measured on availability. Furthermore, an effort is made to predict the optimal availability of the ROMS system using the metaheuristic algorithms, namely, dragonfly algorithm (DA), grasshopper optimization algorithm (GOA) and whale optimization algorithm (WOA).FindingsIt is observed that the ROMS system predicts optimal availability of 0.999926 after five iterations with a population size of 300 by the WOA. The findings of this study are significant for reliability engineers as well as for maintenance engineers to ensure the availability of ROMS for water purification.Originality/valueIn the present investigation, a novel stochastic model is developed for ROMS, and metaheuristics algorithms are applied to predict the optimal availability.
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ISSN:1355-2511
1758-7832
DOI:10.1108/JQME-02-2024-0016