Optimal reliability allocation of heterogeneous components in pharmaceutical production plant

The 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 constrain...

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Detalles Bibliográficos
Autores principales: Aqel, Ibrahim, Mellal, Mohamed Arezki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Paris 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9975440/
http://dx.doi.org/10.1007/s12008-023-01256-1
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author Aqel, Ibrahim
Mellal, Mohamed Arezki
author_facet Aqel, Ibrahim
Mellal, Mohamed Arezki
author_sort Aqel, Ibrahim
collection PubMed
description The 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12008-023-01256-1.
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spelling pubmed-99754402023-03-01 Optimal reliability allocation of heterogeneous components in pharmaceutical production plant Aqel, Ibrahim Mellal, Mohamed Arezki Int J Interact Des Manuf Original Paper The 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12008-023-01256-1. Springer Paris 2023-03-01 /pmc/articles/PMC9975440/ http://dx.doi.org/10.1007/s12008-023-01256-1 Text en © The Author(s), under exclusive licence to Springer-Verlag France SAS, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Paper
Aqel, Ibrahim
Mellal, Mohamed Arezki
Optimal reliability allocation of heterogeneous components in pharmaceutical production plant
title Optimal reliability allocation of heterogeneous components in pharmaceutical production plant
title_full Optimal reliability allocation of heterogeneous components in pharmaceutical production plant
title_fullStr Optimal reliability allocation of heterogeneous components in pharmaceutical production plant
title_full_unstemmed Optimal reliability allocation of heterogeneous components in pharmaceutical production plant
title_short Optimal reliability allocation of heterogeneous components in pharmaceutical production plant
title_sort optimal reliability allocation of heterogeneous components in pharmaceutical production plant
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9975440/
http://dx.doi.org/10.1007/s12008-023-01256-1
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