Industry research indicates that using smart maintenance could mean manufacturers and suppliers in the chemical and pharmaceutical industries gain 5–15% in plant up-time and reduce maintenance costs by 18–25%. Reports also suggest a 5–20% downtime reduction and a 10–40% maintenance cost reduction. Yet, while predictive maintenance technology is already advancing in the chemical industry, especially with retrofit solutions in aging continuous...
Digital Plant Maturity Model
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Smart maintenance architecture – data-driven approach to smarter maintenance
Jan 2023 | Deliverable, Deliverables Report, Information Technology, POI - Information Technology, Publication, Smart Maintenance
This paper describes use cases and their technical solutions for implementation of predictive maintenance solutions in the biopharmaceutical manufacturing environment. Predictive maintenance is a significant component of smart maintenance which comprises extra elements such as smart use of computerized maintenance management software (CMMS), digital twin technology etc.
How do you want your QC lab rocket to fly?
Apr 2022 | Information Technology, News
Quality control (QC) labs play a key role in biopharmaceutical companies to ensure product quality and patient safety. However, they have yet to achieve full digital maturity and there are areas where cost, speed, and flexibility improvements are needed. Many QC labs have started their journey to digital maturity, but the multitude of instruments often leads to a complex and fragile IT setup, which is too costly to upgrade and cannot take...
The essential digital capabilities for CGT manufacturing to succeed at scale
Sep 2020 | Cell & Gene Therapy, News
Cell and gene therapies (CGTs) is an emerging, high-growth area, but their manufacture is different from established small molecule and biologics platforms in many ways. These range from starter cell variability and traceability for patient safety, to the need for fast turnarounds, very dynamic scheduling and rapid deviation management. All of these, and more, profoundly affect the IT system requirements for CGT. As more CGTs are approved for...
Digital plant maturity model (DPMM) version 2: A best practice guide to using the BioPhorum DPMM and assessment tool
Jun 2018 | Digital Plant Maturity Model, Information Technology, POI - Information Technology
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.
Digital plant maturity model (DPMM): assessment tool
Jun 2018 | Digital Plant Maturity Model, Information Technology, POI - Information Technology
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.
Digital Plant Maturity Model workstream to host webinar
Apr 2018 | Digital Plant Maturity Model, Information Technology, News
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...
Digital plant maturity model (DPMM) v1: The development of a digital plant maturity model to aid transformation in biopharmaceutical manufacturing
Feb 2017 | Information Technology, POI - Information Technology
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.