Digital Plant Maturity Model

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Lab of the Future: Manifesto: digital technology-based capabilities for the quality control (QC) lab of the future

Most quality control labs in biomanufacturing have not yet achieved digital transformation. Lab processes are often manual which is slow and leads to errors and variability as well as long lead times.

Now those traditional ways of working are further challenged by the drive towards inline monitoring and real time release testing, and by new cell and gene therapies with tiny batch sizes and short shelf-lives.

The lab of the future is digital and requires much stronger IT for demand management and process automation, increasingly informed by data analytics and connected to manufacturing operations. This will be enabled by stronger IT security and operations, systems interoperability and governance, and data aggregation using common models, analytics and visualization.

Huge changes in lab personnel skills and culture are needed to work with the systems and the data in these new ways.

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Connected data, cobots and smart scientists: how to create the lab of the future

Many will recognize that the biopharmaceutical quality control (QC) laboratories need much more digital enablement to align with the rest of the manufacturing environment. Issues range from a lack of automation and data not being captured automatically or consistently for advanced analytics. Change and industry collaboration is clearly needed – and a vision of the future has been delivered by BioPhorum through a new paper, Manifesto: Digital...

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Cyber security: Digital plant resilience assessment tool

As the maturity of digital manufacturing plants increases, so does the risk of a cybersecurity or other digital incident. A successful phishing attack, for example, could adversely impact manufacturing operations and potentially take a facility offline for hours, days or even longer.  A company’s ability to minimize the risk of a digital disaster in its manufacturing plants, and quickly restore operations if one occurs, is a vital area for investment to ensure delivery of drug products to patients. To do this, biopharmaceutical manufacturers must understand the cyber resilience at their differing plants and how each site fits into the context of their overall business.

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Digital plant maturity model (DPMM) version 2: A best practice guide to using the BioPhorum DPMM and assessment tool

What does the concept of ‘digital plant’ mean in biopharmaceutical manufacturing? How can it be defined, measured and transformed? What is needed to move up the maturity curve. These are all questions that a business needs to answer to establish a practical strategy to realize the opportunities that digital offers.

The biomanufacturing Digital Plant Maturity Model (DPMM) describes the stages of maturity from simple paper-based plants through to the fully automated and integrated ‘adaptive plant’ of the future. Combined with the maturity assessment tool the maturity model can help IT professionals and stakeholders establish the current digital maturity of a biopharmaceutical facility and facilitates agreement on the future state, goals and strategy to get there.

This second version increases consistency by leveling scores across dimensions; simplifies the model by reducing the number of enabling dimensions; and improves its utility by resetting the vision for levels 4 and 5, aligning them with the BioPhorum Technology Roadmap.

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Digital plant maturity model (DPMM): assessment tool

What does the concept of ‘digital plant’ mean in biopharmaceutical manufacturing? How can it be defined, measured and transformed? What is needed to move up the maturity curve. All are questions that a business needs to answer to establish a practical strategy and realize the opportunities that digital offers.

The biomanufacturing Digital Plant Maturity Model (DPMM) describes the stages of maturity from simple paper-based plants through to the fully automated and integrated ‘adaptive plant’ of the future. The maturity assessment tool can be used alongside the model. Using the characteristics provided for each dimension of the model, an assessment can be made of a plant or a network of plants against the five digital maturity levels against eight dimensions. The maturity model and provides the language and mechanism for having the right conversations with the right stakeholders and the Assessment Tool ensures a neutral assessment of the current state, and facilitates agreement on the future state.

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Digital Plant Maturity Model workstream to host webinar

BioPhorum IT (BPIT) will be publishing the second Digital Plant Maturity Model in May 2018. The team are holding a webinar alongside the white paper launch that will provide guidance on carrying out plant assessments using both a quick and a detailed plant assessment method and is intended for anyone with an interest in the Digital Plant Maturity Model, especially those considering using the Assessment Tool for individual or campaigns of plant...

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Biomanufacturing technology roadmap: 4. Automated facility

This chapter of the first edition biomanufacturing technology roadmap published in 2017, describes the vision, scope and benefits that could be gained in the biopharmaceutical manufacturing industry from the development and implementation of effective automated facilities. To help the industry achieve this future state it describes the scenarios considered, the future needs, challenges and potential solutions as well as the linkages and dependencies on other parts of the roadmap. It considers the contribution that disruptive and emerging technologies can play and regulatory considerations before finalizing with conclusions and recommendations.

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Digital plant maturity model (DPMM) v1: The development of a digital plant maturity model to aid transformation in biopharmaceutical manufacturing

Biopharmaceutical industry challenges and opportunities provided the impetus for a team of subject-matter experts to develop a biomanufacturing digital vision and a digital plant maturity model (DPMM). The white paper describes the stages of maturity from simple paper-based plants through to the fully automated and integrated ‘adaptive plant’ of the future. The business and enabling capability dimensions in the maturity model are also explained. Moreover, the paper describes the benefits of applying the DPMM such as enabling an organization to evaluate the state of its technology at all manufacturing sites, those within a network or at specific ‘sister’ sites. This evaluation can provide either a global roadmap spanning all manufacturing sites (e.g. a common gap for all IT) or a roadmap for specific sites.

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