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

Miguel R. Lopes, Andrea Costigliola, Rui Pinto, Susana Vieira and Joao M.C. Sousa

International Journal of Production Research, 2020, vol. 58, issue 21, 6553-6567

Abstract: 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.

Date: 2020
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DOI: 10.1080/00207543.2019.1683250

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