The pressures to achieve more with less in the world of equipment and facilities maintenance has always been there, but what part can smart maintenance and the use of digital technologies do for us? What would an investment deliver in terms of lower costs and improved asset utilisation? This paper defines what ‘smart maintenance’ means to the biopharma industry and how to measure its maturity. It showcases a tool to assess ways of working and level of digital maturity, by mapping to BioPhorum’s ‘Digital Plant Maturity Model’. It will help you and your organisation make the case for investment and justify adopting higher levels of maintenance practice, better framing the contribution of maintenance with digital maturity transition – where to build and with which capabilities. The paper articulates the value and benefits of achieving the higher digital maturity levels for smart maintenance, such as improved asset utilization and management, cost reduction and elimination of unplanned activities. The paper includes a discussion on ‘next-generation’ analytics, describing how current and future analytics packages can integrate with data solutions and the benefits they can bring to the smart maintenance approach.
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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.
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.
Jun 2018 | Information Technology
Cloud services are being increasingly used in biomanufacturing to provide a cost effective and flexible platform for software deployment. As GxP systems increasingly move onto the cloud agreement is vital for both provider and customer responsibilities to maintain compliance. For example, how does the provider ensure the security of the underlying infrastructure? Does the provider utilize commercially available software products that are developed and tested to IT industry standards? And does the customer perform periodic reviews of their provider configurations and the systems they deploy? With a lack of clarity on questions such as these we open ourselves up to both risk and a lack of consistency across the industry. In response to this set of uncertainties the BPIT subject-matter experts (SMEs) developed a checklist of critical questions by control area designed to create clarity. As such this paper and checklist help companies gain all the benefits of hosting GxP systems in the cloud while providing the necessary level of regulatory compliance and assurance. The paper focuses on infrastructure as a service and is vendor neutral.
Jun 2018 | Information Technology
Data integrity (DI) is an essential element in ensuring the reliability of data and information obtained and managed in biomanufacturing. The number of observations made regarding the integrity of data during inspections of good manufacturing practice (GMP) has been increasing, clearly signalling a need for companies to better understand the requirements and ensure confidence in their compliance. In 2016, the BPIT compliance SMEs collaborated to co-author an industry response to the IT data integrity guidelines provided by regulators to support companies in understanding the requirements and in ensuring clarity in their approach to compliance. Furthermore, the guidance in the response paper and the companion template, “Universal Data Integrity System Assessment Template in the Biopharmaceutical Industry”, supports companies by providing a shared view of which controls to implement within a company and offers best practices to manage risks. This results in a common response to regulators and achieves increased confidence in a company’s approach to compliance. The guidance outlines the controls required generally and those required specifically for three categories of IT systems in biomanufacturing – enterprise applications, local systems and equipment.
Data integrity (DI): Universal data integrity system assessment template in the biopharmaceutical industry
Jun 2018 | Information Technology
The subject matter experts of the BioPhorum IT Compliance Team developed this template in response to the need to ensure compliance with the regulatory guidance for data integrity demanded in the industry. The template was developed to assess the health of computerized systems and their electronic records from a data integrity perspective. Furthermore, it can be used to evaluate potential risks to a computerized system and its electronic records throughout the system’s lifecycle. An assessment may be conducted during requirements gathering as a part of the initial validation, during assessment of system changes, during periodic reviews and/or at the time of decommissioning. The assessment template should be fully developed in conjunction with a standard operating procedure (SOP) to manage consistent implementation and use. Since this is an example template it is not an exhaustive list of questions and should be augmented to meet each company’s specific needs. The template accompanies the “Data Integrity for IT in the Biopharmaceutical Industry” paper, which was developed in parallel to provide an industry response to regulatory guidelines highlighting risks, controls and best practices.
The biopharmaceutical industry is challenged to continually deliver and maintain products in a cost-effective way while retaining regulatory compliance. An Agile approach to software development supports the need for an effective and efficient business. However, use of Agile in a GxP environment has been limited due to the perceived regulatory risk. This guide provides an approach that ensures delivery of software solutions while maintaining regulatory compliance. The approach uses the conventional validation plan and validation report, while adapting the design, build and test stages to provide an Agile approach. Using this guidance enables companies to implement software systems in a GxP environment while delivering to the business the benefits of cost, speed and quality with full regulatory compliance.
Digital plant maturity model (DPMM) v1: The development of a digital plant maturity model to aid transformation in biopharmaceutical manufacturing
Feb 2017 | 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.