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Agile GxP: Guidance on the use of agile in a GxP environment
0.00 KB 1 file(s)
Release Date - 26th June 2017
Abstract
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.
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Agile GxP: Guidance on the use of agile in a GxP environment: Companion document
0.00 KB 1 file(s)
Release Date - 20th April 2019
Abstract
This Companion document, to be used alongside its original guidance 'Guidance on the use of Agile in a GxP environment'. It provides more practical advice on how to implement agile in a GxP environment. The Companion is less about ‘what is Agile’ but more ‘how to do it’ in the biopharmaceutical arena. The Companion details five levels to full Agile working that will help companies determine what level they are currently at and what they need to do to progress to the next stage. This approach will help companies understand how to implement Agile in GxP environments more rapidly and effectively.
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Architecture blueprint for smart maintenance
0.00 KB 0 file(s)
Release Date - 26th October 2021
  smart maintenance  
Abstract
A BioPhorum members only draft document intended to support maintenance and IT teams install/upgrade systems to be ready for smart maintenance in validated environment
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Benchmarking survey - MES of the Future
0.00 KB 0 file(s)
Release Date - 26th October 2021
  MES of the Future  
Abstract
A member only benchmarking survey to identify common challenges and opportunities to collaborate on MES of the future.
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BioPhorum deliverables mid-year report 2021
6.61 MB 1 file(s)
Release Date - 2nd July 2021
Abstract
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CGT actors and process maps: Who does what in the supply of different cell and gene therapies
833.70 KB 3 file(s)
Release Date - 1st April 2022
  Cell and Gene Therapy     IT for CGT  
Abstract
This document contains a set of reference models explaining who needs to be involved in the supply of different types of Cell and Gene Therapies (CGTs) and, at a very high level, what they do. It can be used by anyone who wishes to better understand the manufacture and delivery of CGTs, and in particular how IT systems can support that.
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CGT personas and user stories
4.86 MB 3 file(s)
Release Date - 14th April 2022
  IT for CGT  
Abstract
CGTs and their patient-specific delivery of therapeutics are seen by many as the future of medicine. However, the field of CGT manufacture is currently immature and typically involves multiple organizations in the delivery of a single CGT treatment. As well as the established biomanufacturers, there are many small players who are attempting to scale up from lab-based processes. Many of these CGT companies are working to establish their IT requirements, but there is no common understanding of a pharma company’s ‘normal’ CGT needs or those of the multiple organizations and experts involved.
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CMO Integration: Briefing document for working with partners/suppliers
0.00 KB 0 file(s)
Release Date - 26th October 2021
  CMO Integration  
Abstract
BioPhorum member only briefing document for working with suppliers on CMO integration, outlining the problem statement and benefits.
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Covid-19: How industry is using technology during the covid-19 pandemic
4.75 MB 1 file(s)
Release Date - 1st September 2020
Abstract
This article looks at the role of technology in the workplace and specifically how the Senior BioPhorum Connect group is addressing issues such as the use of remote working technologies, cyber security and digitizing the cGMP space.
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Cyber - Detection processes​ sprint one
0.00 KB 0 file(s)
Release Date - 26th October 2021
  cyber security     Cyber security education series  
Abstract
An internal document looking at defining and prioritizing the common problem statements as they relate to detection and detection processes within a biomanufacturing operational shop floor.
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Cyber detection processes​ sprint two
0.00 KB 0 file(s)
Release Date - 26th October 2021
  cyber security  
Abstract
A BioPhorum member only survey on detection tools and processes, questioning tooling and ways of working in cyber security
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Cyber Education Series: Guidance on how to write a disaster recovery playbook for the manufacturing environment
576.10 KB 1 file(s)
Release Date - 27th November 2020
  cyber security     Cyber security education series     Cybersecurity  
Abstract
This ‘how-to’ guide is intended to help companies decide what they should consider in advance of a disaster event and what to include in the disaster recovery playbook. It is not a definitive set of steps to recover an impacted manufacturing plant. Rather, it can be used as a prompt to develop the detail needed to create a disaster recovery playbook for a manufacturing plant, customizable to any organization.
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Cyber Security Configuration management database use cases
242.37 KB 1 file(s)
Release Date - 22nd May 2020
Abstract
In pharmaceutical manufacturing plants, it is sometimes the case that there is no single place to view an inventory of manufacturing assets. Conversely there may be many data sources with manual processes required to compile a single view. This is a problem for the entire enterprise, not just manufacturing; it is a constant and ongoing balance of enterprise (IT) vs manufacturing (OT) tools, policies and proceedures. Managing this asset information can become a significant manual effort. Without trustworthy data, there is an unclear view of the cybersecurity risk that assets contribute to the manufacturing plant and enterprise. The absence of good information makes planning of patching and lifecycle management exceedingly difficult. This compels manufacturers to develop Configuration Management Databases (CMDB’s) to maintain inventories of the assets used at their production facilities. Here the BioPhorum Cyber Security members have been investigating the underlying use cases that drive the design, needs and benefits of each member’s CMDB application/s. Through a compare and share process, they have asked the questions “What are our peers doing?”. This paper starts to draw parallels and highlight differences. It gives an insight into the complex and diverse ways of setting up, maintaining, and managing a manufacturing shop floor CMDB.
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Cyber security: A standard CMDB data model for pharmaceutical manufacturing shop floor systems
283.42 KB 1 file(s)
Release Date - 30th July 2020
  CMDB     configuration management     cyber security     data model     Information Technology     Operations technology  
Abstract
Pharmaceutical manufacturers are developing and using Configuration Management Databases (CMDB) to maintain inventories of the IT and automation assets used by the manufacturing and laboratory systems at their production facilities. A CMDB can provide access to accurate data, including available assets, where they are, how they are configured, and the relationships that exist between them; all of which are vital functions for lifecycle management, change management, incident management and patching. The information model typically used by the standard CMDB installation is based on the idea that all systems used by the enterprise are software based and described by a class of objects called an application. This does not always align to the needs within an operations technology (OT) environment. Therefore, the BioPhorum Cyber Security members, using their extensive combined knowledge, have collaborated to design a common information model describing a manufacturing system detailed in a shop floor/OT CMDB. The proposed model is intended to be a free, reusable, standard structure which can be adapted for specific company needs, providing a good starting point for configuration data modelers working in the OT space.
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Cyber security: Boutique vulnerabilities
5.65 MB 1 file(s)
Release Date - 13th May 2020
Abstract
With each new challenge, organizations are working to improve their response and reduce the time and effort required. Companies are all investing in routine patching where possible, reducing this activity in urgent situations, as well as investing in other mitigation options such as isolation where appropriate – more options means reduced impact. This paper provides a summary of what the members of the BioPhorum IT Cyber Security Workstream are doing.
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Cyber security: Digital plant resilience assessment tool
120.66 KB 1 file(s)
Release Date - 27th April 2020
Abstract
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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Cyber security: Information technology vs operations technology - a BioPhorum article
237.42 KB 1 file(s)
Release Date - 6th May 2020
Abstract
This paper characterizes this framework, and the associated mixed environments, to illustrate the drivers and success metrics for the key functions of business management of information systems, and that of plant-floor instrumentation and controls engineering. For people working in this arena, this paper will help develop an understanding of this landscape and foster a cooperative approach to implementing network resilience and cybersecurity solutions that allow more robust and secure delivery of essential drug products to the market.
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Data integrity (DI) for IT in the biopharmaceutical industry
0.00 KB 1 file(s)
Release Date - 26th June 2018
Abstract
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.
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Data integrity (DI): Universal data integrity system assessment template in the biopharmaceutical industry
0.00 KB 1 file(s)
Release Date - 26th June 2018
Abstract
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.
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Data integrity challenges in the quality control (QC) labs
850.64 KB 1 file(s)
Release Date - 12th May 2022
  data integrity     lab of the future     quality control  
Abstract
Data integrity is fundamental to comply with current good manufacturing practices (CGMP) and ensure patient safety. Unsurprisingly, quality control (QC) lab data are heavily scrutinized during audits as they directly support the quality, safety and efficacy of the product, and indicate the state of control of a facility. Most QC labs have worked hard to establish the fundamentals of data integrity. Many have digitized to eliminate paper, some systems have compliance features built in, and a series of mitigations and workarounds cover the rest, albeit with some inefficiencies and limitations. There have also been significant evolution of systems and business practices, rising expectations for efficient and thorough investigation capability, and the desire to go beyond compliance and get knowledge and insights through better access to data. Next steps in data integrity are key to the QC lab of the future and the digital maturity of the manufacturing capability as a whole.
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Digital Plant Maturity Model (DPMM) Community of Practice survey
0.00 KB 0 file(s)
Release Date - 26th October 2021
  Digital Plant Maturity Model  
Abstract
A member only survey looking at how users are adapting the DPMM to meet their needs.
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Digital plant maturity model (DPMM) v1: The development of a digital plant maturity model to aid transformation in biopharmaceutical manufacturing
305.37 KB 1 file(s)
Release Date - 17th February 2017
Abstract
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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Digital plant maturity model (DPMM) version 2: A best practice guide to using the BioPhorum DPMM and assessment tool
0.00 KB 1 file(s)
Release Date - 26th June 2018
Abstract
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
0.00 KB 1 file(s)
Release Date - 26th June 2018
Abstract
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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Enablers and blockers to the implementation of APC/PA solutions
0.00 KB 0 file(s)
Release Date - 26th October 2021
  Analytics     process technology  
Abstract
A BioPhorum member only resource examining the enablers and blockers to the implementation of APC/PA solutions.
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IT can be simple: Using analogies to facilitate collaboration on the IT challenges of supplying cell and gene therapies
12.16 MB 2 file(s)
Release Date - 10th December 2021
  IT for CGT  
Abstract
Cell and gene therapies (CGTs) are medicines with enormous potential to create personalized therapeutics for patients with diseases that were once untreatable. However with these opportunities come challenges. One is how IT and CGT teams understand each other’s needs and challenges – only once this knowledge gap is bridged will CGTs be produced and administered commercially. This paper uses analogies to help specialists from CGT and IT to discuss and understand the key issues in commercializing CGTs and important aspects of IT systems and infrastructure. The analogies also reveal those differences in a relatable way that stimulates creativity and joint problem solving, which are critical in this fledgling but fast-growing industry.
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IT controls for ‘infrastructure as a service’ in the biopharmaceutical industry
0.00 KB 1 file(s)
Release Date - 26th June 2018
Abstract
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.
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IT for CGT: Digital capabilities for cell and gene therapy
231.87 KB 1 file(s)
Release Date - 11th September 2020
Abstract
There are many differences in manufacturing cell and gene therapies (CGTs) compared to established small molecule and biologics platforms and this profoundly affects the IT systems requirements. Some products are personalized so the process includes personal screening and sequencing data, with traceability and data privacy throughout. Starter cell variability adds complexity to a manufacturing process that must have a rapid turnaround, very dynamic scheduling and rapid deviation management. Outcomes must be tracked for the long term to improve patient outcomes as well as to support novel reimbursement models.Industrialization of CGTs therefore needs the support of advanced systems for manufacturing execution, orchestration, traceability, scheduling, patient data and outcome tracking. Some processes will be encapsulated in closed systems, and there may be analytical requirements for continuous process verification and dynamic adjustment. Operators distributed across the globe will be supported remotely by augmented and virtual reality technologies. This paper helps executives and IT professionals to understand the IT needed to support CGT manufacture, and stimulates collaboration across the industry to meet these challenges.
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Lab of the Future: Manifesto: digital technology-based capabilities for the quality control (QC) lab of the future
335.35 KB 1 file(s)
Release Date - 30th July 2020
Abstract
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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Logistic service provider (LSP) integration
0.00 KB 1 file(s)
Release Date - 2nd September 2019
Abstract
Many biomanufacturers use a network of logistics service providers (LSPs) to deliver warehousing, transport and distribution services. Typically linked using customized, electronic, point-to-point connections. These connections can be expensive and slow to set-up and expensive to update in response to changing market demands. There is no dominant technical solution that monitors the condition and location of shipments, and that enables companies to adopt different solutions for different regions and partners. There is a need to raise the awareness of software vendors of this unmet need and the real interest of many industry stakeholders if a suitable LSP integration solution was available. This paper provides an overview of the current needs of manufacturers and their technical integration with their network of LSPs. It contains a high-level requirements specification for a common, cloud-based, integration platform, that would reduce customization and multiple point-to-point solutions. The specification is designed to help technology companies develop this services. Informal benchmarking across member companies indicates that ‘collaboration hub’ use would deliver a 50–70% saving in time and cost when linking to a new partner. These benefits would be realized by both partners making the new connection.
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Manufacturing patching practices: safeguarding the manufacturing environment
285.36 KB 1 file(s)
Release Date - 25th August 2021
  cyber security     Cyber security education series  
Abstract
This paper presents seven BioPhorum manufacturing patching practices. It provides guidance to help focus your thoughts and ideas if you are tackling the same issues within your manufacturing environment. It identifies barriers that can make patching difficult (or even impossible) and proposes mitigation practices that you should consider to overcome these barriers and associated risks and use to support a successful program of patching within the manufacturing environment.
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MES of the future manifesto
2.89 MB 1 file(s)
Release Date - 26th January 2022
  digital manufacturing     Digital Technologies  
Abstract
The purpose of the MES of the future manifesto is a call to action from the biomanufacturing industry to vendors of MES solutions. The manifesto articulates: the gap between the current generation of MES solutions and the needs of the biomanufacturing industry and a realistic and achievable vision for the MES of the future that will meet the needs of the biomanufacturing plants of the future. It is intended to stimulate collaboration between biomanufacturers and vendors of MES solutions that will outline roadmaps for future development.
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Operational vision: Adoption of in-line monitoring and real-time release
1.95 MB 1 file(s)
Release Date - 27th June 2022
  ILM and RTR  
Abstract
Historically, the biopharmaceutical industry has relied on traditional pharmaceutical manufacturing practices to make and release products. This publication examines the future of biopharmaceutical manufacturing by presenting the vision of fully implemented in-line monitoring (ILM) and real-time release. This aspirational vision includes full ILM, predictive analytics and advanced process controls (APC) enabling release of product in real time, with concomitant predictive and preventative alerts and resolution of process, equipment and other production issues.
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Patching barriers framework for manufacturing and mitigating actions
0.00 KB 0 file(s)
Release Date - 26th October 2021
  cyber security     Cyber security education series  
Abstract
A BioPhorum members only document which examines the structural barriers framework and captures the barriers that make patching in manufacturing so difficult.
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Regulatory: Feedback to DMKA questions to critical GXP augmented intelligence
637.13 KB 1 file(s)
Release Date - 7th September 2021
  digital plant     Digital Technologies     GxP     Supply chain digitization  
Abstract
BioPhorum response to work being conducted by The Danish Medicines Agency (DKMA) to define criteria for the application of artificial intelligence (AI) and machine learning (ML) across GxP-regulated areas. The questions  asked by the agency considered the requirements and quality of data used to build, test and validate an algorithm, and how it would respond to biases and deviations in results.
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Smart maintenance: digital evolution for biopharmaceutical manufacturing
0.00 KB 1 file(s)
Release Date - 3rd January 2019
  automated facility     Digital Plant Maturity Model     Information Technology     Maintenance     Predictive     smart maintenance  
Abstract
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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The benefits of progressively more sophisticated lab instrument integration in the quality control labs
4.51 MB 1 file(s)
Release Date - 7th March 2022
  Digital Plant Maturity Model     Digital Technologies     lab of the future     quality control  
Abstract
QC labs play a key role across biopharmaceutical organizations to ensure product quality and patient safety. However, they have yet to achieve full digital maturity. Poor digitalization and integration have led to many non-optimal solutions for labs, such as workarounds and tailored solutions that are too expensive to upgrade. Often teams cannot take advantage of the latest innovations. With the help of this document, advocates for change can persuade other stakeholders to raise their game by showing the opportunity for significant benefits. The origins of this analysis in cross-industry collaboration and alignment represent a weight of common intent that should not be ignored.
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User requirements for AR/VR biopharma manufacturing
230.52 KB 1 file(s)
Release Date - 29th March 2022
  AR/VR  
Abstract
The purpose of this document and action plan is to articulate AR/VR hardware and software requirements; stimulate collaboration between biomanufacturers and vendors of AR/VR hardware and software and help vendors of AR/VR hardware and software construct roadmaps to unleash the potential of this technology in GMP environments.
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User requirements for AR/VR hardware and software
0.00 KB 0 file(s)
Release Date - 26th October 2021
  AR/VR  
Abstract
BioPhorum member only content supporting the development of a publication on the industry requirements of AR/VR used in manufacturing and clean room requirements.

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