Aqel I, Mellal MA. Optimal reliability allocation of heterogeneous components in pharmaceutical production plant.
INTERNATIONAL JOURNAL ON INTERACTIVE DESIGN AND MANUFACTURING (IJIDEM) 2023;
17:1711-1720. [PMCID:
PMC9975440 DOI:
10.1007/s12008-023-01256-1]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Accepted: 02/16/2023] [Indexed: 08/29/2023] [Imported: 08/29/2023]
Abstract
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.
Collapse