Optimal reliability allocation of heterogeneous components in pharmaceutical production plant
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Date
2023
Authors
Aqel, Ibrahim
Mellal, Mohamed Arezki
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
Abstract
he COVID-19 pandemic and competitiveness pressure the pharmaceutical companies to acquire systems designed to be as reliable as possible. The present paper aims to optimize the design of a pharmaceutical plant through the reliability allocation of heterogeneous components under the design constraints. The problem is solved by resorting to three nature-inspired algorithms of artificial intelligence (AI): grey wolf optimizer (GWO), shuffled frog-leaping algorithm (SFLA), and adaptive particle swarm optimization (ADAP-PSO). A penalty function is implemented to handle the constraints and the results obtained are compared
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Keywords
COVID-19, Grey wolf optimizer-shuffled frog-leaping algorithm-adaptive particle swarm optimization, Heterogeneous components, Pharmaceutical plant, Reliability allocation