Asian pharma manufacturers are constantly under pressure to produce high quality products on time. The best solution to increase efficiency at reduced costs is to digitize production by introducing an MES addressing issues at production level.
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MES solutions replace paper-based, slow and error-prone processes in the manufacture of pharmaceutical and biopharmaceutical products. But what exactly are the benefits of digitization for pharma and biotech manufacturers? And how do you find the right MES supplier?
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It’s no question that in the digital age, pharma and biotech production must be supported by MES. These systems digitize end-to-end pharma manufacturing processes – from receiving goods via warehousing to production and packaging.
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As pharma and biotech companies optimize processes, they constantly strive to increase the output of a product while boosting their quality and reducing the share of error-prone manual processes at the same time. Here, AI will playa key role.
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IIoT has become an integral part of manufacturing and should be adopted by the pharma & biotech industry. This involves making important decisions, such as phasing out legacy systems and transforming current business models.
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Many pharma and biotech manufacturers struggle to gain senior level buy-in for MES investments. Whilst corporate IT such as ERP is well understood, not believing in ROI for manufacturing solutions is a major reason why companies have difficulties to eliminate paper GxP records.
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OEE monitoring helps to identify weaknesses in production processes and select suitable optimization measures. Pharmaceutical manufacturers can thus increase the capacity of their existing plants while reducing costs.
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The acronym ALCOA+ has been around since the 1990’s, is used by regulated industries as a framework for ensuring data integrity, and is key to Good Documentation Practice (GDP). ALCOA+ relates to data, whether paper or electronic, and is defined by US FDA guidance as Attributable, Legible, Contemporaneous, Original and Accurate.
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To deliver Cell & Gene therapy treatments at scale bio-pharmaceutical companies are moving away from complex paper-based documentation, integrating many different electronic systems, and automating previously manual verification processes.
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According to the FDA (“Data Integrity and Compliance with CGMP Guidance for Industry”), data integrity refers to the completeness, consistency, and accuracy of data. In the last years, the FDA has seen an increase in data integrity violations.
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