Optimal reliability allocation of heterogeneous components in pharmaceutical production plant
| dc.contributor.author | Aqel, Ibrahim | |
| dc.contributor.author | Mellal, Mohamed Arezki | |
| dc.date.accessioned | 2023-03-20T09:24:58Z | |
| dc.date.available | 2023-03-20T09:24:58Z | |
| dc.date.issued | 2023 | |
| dc.description.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 | en_US |
| dc.identifier.issn | 19552513 | |
| dc.identifier.uri | https://link.springer.com/article/10.1007/s12008-023-01256-1 | |
| dc.identifier.uri | DOI 10.1007/s12008-023-01256-1 | |
| dc.identifier.uri | https://dspace.univ-boumerdes.dz/handle/123456789/11214 | |
| dc.language.iso | en | en_US |
| dc.publisher | Springer | en_US |
| dc.relation.ispartofseries | International Journal on Interactive Design and Manufacturing/ (2023);pp. 1-10 | |
| dc.subject | COVID-19 | en_US |
| dc.subject | Grey wolf optimizer-shuffled frog-leaping algorithm-adaptive particle swarm optimization | en_US |
| dc.subject | Heterogeneous components | en_US |
| dc.subject | Pharmaceutical plant | en_US |
| dc.subject | Reliability allocation | en_US |
| dc.title | Optimal reliability allocation of heterogeneous components in pharmaceutical production plant | en_US |
| dc.type | Article | en_US |