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Pharmaceutical quality control laboratory digital twin – A novel governance model for resource planning and scheduling

2019; Taylor & Francis; Volume: 58; Issue: 21 Linguagem: Inglês

10.1080/00207543.2019.1683250

1366-588X

Miguel R. Lopes, Andrea Costigliola, Rui M. A. Pinto, Susana M. Vieira, João M. C. Sousa,

Advanced Control Systems Optimization

A digital twin of pharmaceutical quality control laboratory was developed and employed as a benchmarking platform to estimate the performance of a new facility under alternative governance models. Key performance metrics, such as sample processing times and utilisation rates of analytical staff and equipment were computed and compared under alternative governance scenarios, to determine solutions to be implemented in practice. Two frameworks were evaluated, leading to the conclusion that higher efficiency can be achieved under a novel, free-for-all governance, without the need to procure additional resources.