Optimal reliability allocation of heterogeneous components in pharmaceutical production plant

被引：2
|
作者：
Aqel, Ibrahim [1 ]
Mellal, Mohamed Arezki [1 ]
机构：
[1] M Hamed Bougara Univ, Fac Technol, LMSS, Boumerdes, Algeria
来源：
INTERNATIONAL JOURNAL OF INTERACTIVE DESIGN AND MANUFACTURING - IJIDEM | 2023年 / 17卷 / 04期
关键词：
COVID-19; Pharmaceutical plant; Reliability allocation; Heterogeneous components; Grey wolf optimizer-shuffled frog-leaping algorithm-adaptive particle swarm optimization; REDUNDANCY OPTIMIZATION; ALGORITHM; SEARCH;
D O I：
10.1007/s12008-023-01256-1
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
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.
引用
收藏
页码：1711 / 1720
页数：10
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