PAT: a comprehensive guide
Posted: 23 January 2008 | Steven Doherty, Affiliation: Eli Lilly; Richard Godec, Affiliation: General Electric Analytical Instruments; Matthew Smith, Affiliation: Hach Ultra; Petter Mörée, Affiliation: MKS Umetrics; Ingrid Maes, Affiliation: Siemens; Tony Slapikas, Affiliation: Ametek Process Instruments; Chris Hobbs, Affiliation: ABB | No comments yet
European Pharmaceutical Review presents a comprehensive guide to PAT addressing the challenges and advancements that are impacting upon PAT implementation in 2008 and beyond…
Question 1: Since the inception of PAT by the FDA what level of impact do you think that the principles of PAT have had on Pharmaceutical manufacturing?
Hobbs: Pharmaceutical manufacturers recognise that there are benefits to be had by implementing PAT. The leading manufacturers have invested in single unit operational trials and have seen significant returns on investment, which has led to PAT being implemented on production sites.
Slapikas: There’s little doubt that the PAT initiative has provided the drive to let the production staff get a much better look into their processes than they’ve ever had. Under the PAT “Quality by Design” umbrella, PAT groups have been able to move instruments right into the production suites to give the operators a real-time look at their processes. At this stage, even though the instruments are not actively controlling the process or releasing the product, the insights gained by just the monitoring of the process is providing valuable information that is being used to plot the strategies for future process development.
Doherty: I principally support small molecule synthetic efforts, so some of my responses may be most directly applicable to that area. While the direct impact on manufacturing may not be readily apparent, particularly in terms of a large installed analyser base, I believe the environment is now more conducive to discussions about the prospective use of PAT. There seems to be more of an inclination to say “what could we do with PAT” rather than come up with reasons why not to pursue the opportunities.
Godec: The most obvious impact PAT and Quality by Design (QbD) principles have had on the pharmaceutical industry is to renew the focus on better understanding, the underlying critical quality attributes of the pharmaceutical manufacturing process. This improved knowledge enables companies to establish effective process control systems and to predict that product quality requirements will be consistently met. The improved visibility of these topics has enhanced the industry’s access to tools and approaches for achieving process control and predictability cost effectively.
A second important factor is that regulatory agencies have taken an active role in educating the industry about PAT and QbD concepts. The advantage for the regulators has been a renewed confidence that the companies actively improving their manufacturing processes are committed to maintaining a consistent and predictable final product quality. The advantages to the pharmaceutical company are lower regulatory risks and costs of a continuous compliance process.
Smith: Change has been evolutionary, not revolutionary and we have found that some companies are well ahead of others in researching and implementing online technologies. Some PAT technologies are very robust and easy to implement (online TOC, conductivity, temperature, pressure and flow sensors, for example), whereas others are more complex and require more thorough evaluation and development (online spectroscopy, for example). Trust and reliance on some of the more complicated technologies has been much slower than most had originally anticipated.
Mörée: The largest impact has probably been that Pharmaceutical manufacturing has started to actively look outside its own area and learn from other parts of manufacturing areas, for example, chemicals and food. In addition it has opened up the possibilities to actively use new technology.
Maes: As of yet the industry does not fully understand the impact it has on the current ways of working in the pharma industry. In fact it is revolutionising the way drugs are developed and also manufactured. Also, the industry is not yet truly understanding how PAT leads to the future focus. In the Keynote address at IFPAC last year, FDA’s Chief Medical Officer, Dr. Janet Woodcock, outlined the following:
- Development and manufacturing should be integrated
- Development of quality surrogates for clinical performance (link critical product attributes to clinical outcomes)
- Rigorous, mechanistically based and statistically controlled processes
Closing the gap between development and manufacturing, supported by PAT is not greatly applied by the pharma industry. With regard to the second point raised by Dr. Woodcock, even fewer companies are realising the impacts and consequences. An important condition for being able to link clinical batch manufacturing and quality data to clinical outcomes, is the possibility to store data in the same format with the appropriate meta data / context data, so that these different data sources can be combined and evaluated. This also means that systems and data formats have to be aligned and be able to be merged. This puts the emphasis on common IT systems throughout the whole R&D process as well as on data mining tools, to be able to discover relationships. The benefit for the pharma industry is that companies will be able to gain insight and knowledge more quickly in therapeutic efficacies and mechanisms and how they are impacted by the manufacturing process. In fact this is nothing new, as the “voice of the customer” principles are already much longer applied in other industry, where customer satisfaction and product performance appreciation by customers is fed-back into process development and improvement cycles.
For the last point that Dr. Woodcock has mentioned it is obvious that true process understanding will offer the possibility to improve and optimise processes, based on cost aspects as well. Again this seems new for the pharma industry but is not for the other industries.
PAT / QbD provides great opportunities to the pharma industry in terms of reducing costs and time on regulatory strategies or approval aspects, especially for products for smaller market niches. Together with live-licensing options, the target market can be further enlarged, while the initial product has already been launched. This option also implicates that data sources have to be linked.
Question 2: How does your company currently approach the implementation of PAT methodologies within your manufacturing process?
Doherty: I think PAT methodologies are appropriately seen as a tool, not a panacea. The majority of our installations are propagating out of development with new chemical processes. In some instances PAT is viewed as a tool to facilitate tech transfer, since the first time at scale is when you really get the most value and gain the most insight into the process. Once demonstrated successfully, it then becomes a business decision whether to retain or remove such PAT measurements.
Organisationally, we have a corporate group that straddles the R&D/manufacturing interface. That group serves as a resource for both functions, and can also use the development environment to test out and make our PAT platforms more robust prior to manufacturing deployment.
Question 3: In your opinion, what are the major obstacles which can arise in the implementation of PAT methodologies to the Pharmaceutical Manufacturing process?
Hobbs: PAT is still an emerging technology and as with all new technologies there is risk. It is therefore important to ensure that the fundamentals are as good as they can be. A clear business case is required which is well defined with clearly defined goals and expectations that can be easily understood by all. Failure to implement this will lead to a lack of clarity and an inability to realise the business benefits. Equally this should be supported by a validation strategy which ensures that the implementation and its boundaries are well understood and tested.
Choosing and specifying the requirements for the technology needs to be carefully thought through. How does the PAT data need to be managed? How will the PAT data be used? Are all the technologies to be used compatible with each other? One of the major technological obstacles today is the lack of a clear standard for data exchange between PAT instrument, Data Management Platforms and Control Systems. This assumes that you have already done the work to identify the Critical Quality Attributes and the associated Critical Process Parameters necessary to control them.
Slapikas: The principles of PAT were already well established at the PR&D and pilot plant levels before the initiative actually began. These groups had been working with on- or at-line technologies for quite some time and were already aware of the gains that could be had by moving analyses closer to the process. Once the FDA formalised the PAT concept, a door appeared to let the R&D and pilot folks share what they knew with the manufacturing folks. Once the door was opened, the manufacturing group had only 3 questions:
- What is the ROI if I use the technology?
- How much harder will I have to work to use it?
- How reliable is it and what will it take to keep it that way?
Doherty: To be honest, I think many practitioners of PAT have done us a disservice by focusing principally on complex, higher order technologies in publications and talks. Consequently, I think one obstacle is the perception that PAT has to be complicated. While that may be the case for PAT tools in development, the focus needs to be on providing the simplest tool that can accomplish the control objective for our manufacturing colleagues.
Another related obstacle is that the business case has only recently become a conspicuous part of the conversation. In that respect, I think pharma PAT folks could have done a better job of leveraging the learnings from other process analytical markets, where long-term cost of ownership, ROI, and NPV are well characterised and a fundamental part of the discussion.
Godec: It is valuable to have a leadership team committed to the top-down implementation of PAT and QbD principles and willing to invest the time and money to acquire the knowledge and experience necessary for continued success. A lack of top management commitment to PAT or QbD requires the additional development of a business justification to overcome the resistance. Often the required knowledge and experience is absent. It is important to invest in the development of engineering tools, measurement metrics, methods, and experience to predict and achieve a cost-efficient level of process understanding and process control. This is not to say that the economical advantages of these principles cannot be demonstrated to upper management through bottom-up small-scale projects.
Smith: In our observation, the greatest obstacle to the implementation of PAT methodologies is the change control process required in order for pharmaceutical companies to meet regulatory requirements. Since existing processes are approved, there is often little momentum to change. Thus, we see PAT principles being driven in some companies through the development process in new drugs, but resistance to changing existing processes. We have found that some of this resistance stems from the fact that the product release process is currently ‘owned’ by the Quality department, whereas online instrumentation is ‘owned’ by the Engineering or Manufacturing departments. Thus, changeover to an online release process requires a very close alliance between engineering and quality that may not currently exist in some pharmaceutical companies.
Mörée: A major obstacle is the inertia in big pharmaceutical organisations as well as the regulatory bodies. To change the beliefs and thoughts around how to ensure high quality is a major challenge for the management, especially as this may mean that some departments will need to be strengthened whilst others will have to be reduced.
Maes: The pharmaceutical industry has been slow to adopt PAT in the past, in large part because of regulatory requirements based on off-line batch inspection, slowed progress towards more innovative manufacturing. Now, however, the FDA is engaged on a major drive to encourage the spread of PAT and Quality by Design, as part of its cGMP’s for the 21st century and Quality initiatives.
One of the biggest obstacles for truly implementing PAT / quality by Design that pharma companies are facing is the lack of multidisciplinary knowledge, or typical engineering skills. With PAT, new technologies for the pharma industry have been introduced (for example, data mining, process analytics and so on).
Furthermore, a lot of companies have just started by purchasing a couple of process analysers, but haven’t investigated how they want to build a PAT system, or how to integrate this system into the development or manufacturing architectures, which supports the company objectives and which carries benefits.
Another obstacle, often misused is the regulatory aspect. Often RA departments are not open or willing to think differently in terms of a regulatory strategy, based on new approaches that FDA is offering. The unknown is used as a risk argument and inhibits the application of new process development methodologies.
Thirdly, working cross divisional is rather new for a lot of pharma companies. PAT requires collaboration between development and manufacturing, in cross divisional teams.
Question 4: What do you believe can be done in order to minimise these obstacles?
Hobbs: Firstly, there is the need to ensure that the implementation team processes the correct skill sets. Partnerships between instrument suppliers, control system suppliers and manufacturers allow additional skills to be added to the team. The importance of training and understanding cannot be understated.
Secondly, it is necessary to have a clear validation plan. A poor validation approach will lead to spiralling costs. If possible, the vendors should be included in this process as a joint approach can often lead to reduced cost.
Thirdly, there must be clear requirements on how the system will be used and that all ‘Use Cases’ are covered, along with a good understanding of how the PAT data will be managed: in particular if more than one instrument is required or you intend to have more than one PAT application, then the addition of a data management system will allow data to be extracted, synchronised and stored efficiently.
Fourthly, it is important to ‘Define standards for Data Exchange’. Initiatives such as the recently announced OPC Foundations ADI (Analyzer Device Integration) group should be supported and encouraged.
Finally, be prepared for organisational issues including:
- Division of responsibilities for PAT between Development, production and Quality and so on
- Creation of routes for communication between functions/divisions/disciplines
- Definition of new development/production and quality roles to take account of QbD and PAT tasks
- Recruitment of new resources or planning of training for existing resources if PAT driven competency requirements are not met by current resources
Slapikas: Coming up with accurate ROI numbers is absolutely critical in getting production sign-off on any new technology. This part of the job resides with the actual pharmaceutical manufacturer since only they know what the true cost is for time and materials involved in the process. In Ametek’s case, since we deal a lot with dryer end-point detection instruments, the ROI numbers will include the cost of the realised time savings; the saving in reduced utilities costs; the initial installed cost of the analyser; and the long-term cost of operating the analyser, just to name a few. Coming up with the numbers takes time and requires bringing together a number of various process owners in order to get the complete picture.
Making the technology easy to operate and maintain, rests solely with the technology provider. I haven’t seen many PAT-type technologies that weren’t fairly complex. If we look at what we see on a regular basis: mass spectrometers; optical spectrometers; acoustical techniques; high-end imaging, none of these would be considered “simple” instruments. While “process hardened” variations of these instruments have been around for a long time, most of them have never seen the inside of a pharmaceutical manufacturing site or have dealt with batch processing. The workflow can be completely different from, say, a typical hydrocarbon processing facility and any new technology introduced into pharmaceutical manufacturing is bound to have teething problems as the technology is tuned to the process.
Doherty: Nothing sells like success, so the two things that I think would be the most beneficial to advancing the cause would be to make sure that the applications we focus on initially are successful, and then to document and advertise those successes. It also helps to have the R&D and manufacturing folks engaging in healthy and active discussion, using real data from the process to guide our decisions.
Godec: An important way to minimise these obstacles is to initiate and participate in actual PAT or QbD projects. The real projects provide the practical knowledge and experience needed to produce accurate project cost analysis and project management predictability, both leading to lower business risk. It is valuable to utilise the manufacturing standards being issued by the ASTM International E55 Committee on Pharmaceutical Manufacturing Standards. Participation in a PAT or QbD project should also involve early communication and discussions with the appropriate regulatory agencies, as appropriate depending on the scope and potential impact to the product quality. This will minimise the regulatory risk of the project.
Smith: Companies that have successfully incorporated PAT principles on a widespread basis have made PAT part of their company culture. This has allowed traditional barriers between quality and engineering to be broken down and has allowed for the organisation to work towards the common goal to reduce cost and waste. It is incumbent on each pharmaceutical company to find the path that leads to the greatest savings. As an instrument vendor, we need to work with both quality and engineering to demonstrate that the instruments are reliable and qualified to allow the customer to achieve real-time release.
Mörée: We think that the different organisations need to find their own answer to this.
Maes: Knowledge and experiences from other industries can speed-up the transfer of knowledge about PAT approaches and systems in the pharma industry. I believe also that vendors can play an active role in this, as most of the vendors of PAT tools are active outside the pharma industry as well and can bring this experience to the pharma industry.
Furthermore, pharma companies have to think about their future R&D and manufacturing vision (based on their actual products and pipeline products) and investigate how PAT can play a role in this. This will avoid companies investing in PAT tools that are not supporting this vision, but that are purchased for the sake of technology alone.
Question 5: What real term benefits do you believe the implementation of PAT methodologies can have for the Pharmaceutical industry?
Hobbs: In manufacturing, the use of PAT on single unit operations has led to reduced cycle times and better process understanding. A simple example would be none invasive quality measurements by predicting quality attributes in line as opposed to having to sample and perform lab measurements. This means less lab time in sample taking and preparation for measurement.
If you now ask yourself what can be achieved by implementing PAT on multiple unit operation within a production process, it is possible to see the reduction of batch times, reduced lab testing and with more in line quality testing comes the benefit of a more consistent product. This is without even considering the fringe benefits of better process understanding leading to the development of better manufacturing techniques or perhaps even the use of PAT in cleaning operations to optimise the cleaning process and of course the ultimate goal of ‘real time release’ of the product.
Reduced cycle time should lead to the greater utilisation of equipment which leads to an improvement in the Overall Equipment Effectiveness (OEE).
For example: – A leading Pharmaceutical company after implementing an ABB PAT system on a drying process achieved the following:
- Reduction in cycle time fro 40-48Hrs to 24-30Hrs
- PAT provided additional information on filter problems.
- Overall saving across three driers ($10MUS within 1 year).
- Precision 0.04 %
- Agreement with Karl-Fisher reference method: 0.19%
Slapikas: (In answer to question 5 and 6) My belief is that PAT is all about “when”(clearly determining a process end-point or process change-point), not about “how much”(providing an on-line measurement that would be more sensitive, for example, than the current validated product quality test.) My view is certainly coloured by what we do at Ametek, but it appears that those technologies having success at this point are those that are breaking bottlenecks in the process and freeing up process time. Time is always an issue in any process but all the more so when the batch nature of pharmaceutical manufacturing is taken into account. I suppose the best analogy is that of the automobile production line – once a problem occurs anywhere on the line, the entire line suffers and production cannot resume until the issue is resolved. Most other examples of continuous processing has other branches that will continue to run if failures crop up in the process path or, at a minimum, procedures and technologies are already in place to allow the process to continue at a reduced rate until the failures are corrected.
The visible return on investment is the recouping of the time lost due to insufficient process knowledge. PAT promises to put on-line analytics in place to reduce the guesswork involved when a process fails to produce the desired results. Of course, any technique that can streamline the process is going to lead to higher uniformity and quality gains for the product in question.
Doherty: Having made my career in process analytics, I obviously believe that there are tangible economic benefits arising from reduced variability, higher asset utilisation, and increased safety. When you think about the potential value contained in a vessel with a final API, it only takes a small improvement in yield or a decrease in the risk of batch failure to make a fairly compelling business case. Similarly, the less we have operators and analysts handling level III compounds and breaching containment to extract samples, the better. The trick is to make sure that we initially identify the cases where PAT clearly adds value, and then perform those installations well.
Godec: The most important near-term benefit of implementing PAT and QbD methodologies in the pharmaceutical industry is that they will help to refocus the company manufacturing efforts on cost effective processes and approaches. This includes increased quality, increased output, and decreased costs that will allow the company to better meet the current and future pharmaceutical users lower cost requirements.
Smith: The principle goal of designing quality into the process rather than testing quality into the final product is to reduce waste.
Mörée: PAT will lead to major cost reductions. If you visit both chemical and pharmaceutical production plants it is obvious that the number of personnel is much less in the chemical plants.
Maes: There are several benefits depending on where and how PAT tools and systems are implemented and used.
In the following cases PAT can be used:
- In manufacturing of existing products:
For example, optimisation of large-scale production; establishment of process comparability and trouble-shooting; routine monitoring of manufacturing processes; and raw material characterisation and screening.
- For new product / process development:
PAT/QbD is a key consideration in the development of a new plant or new process. PAT/QbD should be central to the process development activities. Facilities have to be designed to develop and optimise manufacturing processes from pipeline products to develop manufacturing processing to ensure robust, reproducible, reliable and compliant manufacturing. A key element is closing the gap between R&D and manufacturing by facilitating the rapid migration of development of pipeline processes into large scale manufacturing at the sites.
- For tech transfer / relocation
- For validation
- For improving / sustaining a company’s image
The range of examples illustrate the many different circumstances and environments in which PAT is relevant for pharmaceutical companies – from ‘green field’ investment sites to solving problems and gaining process improvement on existing manufacturing sites. They also highlight the importance of PAT to both R&D and manufacturing and indicate the way in which, in the future, PAT will be a key part of closing the gap between development and manufacturing
Question 6: How do you believe that visible Return on Investment will be realised by companies implementing a PAT system?
Hobbs: Have a clear understanding of how the process behaves prior to PAT and what you expect to change after implementation. This can be done by identifying Key Performance Indicators (KPI) and measuring the Overall Equipment Effectiveness (OEE). This will allow you to demonstrate overall improvements in production efficiency.
Increased control will increase yields, improve process and increased automation of inspection will reduce costs.
Slapikas: (As above)
Doherty: That comes down to doing our homework with regard to the true cost/benefit of analysis. That includes being frank about the true cost of PAT, which will obviously be much more substantial than the purchase price of instrumentation or software.
As more applications migrate into manufacturing, it becomes easier to quantify the savings at the manufacturing scale in terms of traditional business metrics. It is more difficult (but just as important) to quantify the returns arising from PAT deployment occurring in development that will ultimately impact the manufacturing processes, particularly since those changes accrue earlier in the process.
Godec: Acceptable ROI analysis on PAT and QbD projects will come from higher process reliability, control, and predictability. Because of the improved process predictability, a decreased validation and regulatory expense can be expected. Refocusing the manufacturing process validation resources to be proportional to product quality risks and end user safety will simplify projects and lower costs.
Smith: The most obvious savings is the potential reduction of lost product batches due to the ability to catch mistakes early in the process before additional value is added to the product. However, many PAT instrument purchase justifications are made based on more tangible short term savings due to reduced labour costs and reduction of expense in the quality laboratory.
Mörée: From the projects we worked on so far it is clear that the “easy savings” are in a variety of areas. Examples are; improved yield, less analytical costs, faster production, less out of Spec investigations, faster identification of failed batches etc. To define and clarify how the ROI should be realised is every much dependent on the process.
Maes: We see many companies that are seeking to implement manufacturing change but who are doing so in sub-optimal ways that do not maximise benefit for the company. This is because, often, changes in manufacturing practice and infrastructure are not being informed by a clear manufacturing vision. Such a vision must address the regulatory, market, scientific and technological forces that will shape pharmaceutical manufacturing in the future. Changes in regulation and technology are already influencing how existing products are tested. Looking ahead, regulatory, scientific and technological developments have the potential to produce significant change in the interaction of manufacturing and the market.
See also case study from Pharmaceutical engineering article (March/April 2007), at the end of this document.
Question 7: What future developments are necessary to ensure the potential of PAT can be maximised within Pharmaceutical Manufacturing?
Hobbs: There needs to be the development and implementation of data exchange standards that can be used by all instrument manufacturers, Data Management, Process Control and lab based platforms, for example, OPC ADI group.
It is also important to develop the analytical technology required to make the process measurements, process understanding to make the measurements useful, plus develop systems to manage the data that is collected.
Finally, the development of new QA processes for the review of on-line analytical results in a timely manner during manufacturing and analysis of long term trends are also essential to ensure the potential of PAT can be maximised.
Slapikas: As has happened with the rest of the process world, smaller, cheaper, more reliable and easier to use technologies will evolve as the technology vendors begin to learn what is truly useful on the pharma production floor. We will begin to see, as we already are at Ametek, groups moving towards the real-time release of product using just the on-line analytics. Continued PAT success stories will keep PAT moving forward.
Doherty: For the potential to be realised, the industry needs to make sure that PAT installations deliver on the promise and work more reliably and cost effectively than the current paradigm. One development that would be extremely detrimental would be a conspicuous failure attributed to PAT, so those of us working in the industry need to make sure that our installations and quality systems are beyond reproach. Over time, technologies will improve, instruments will get smaller and more capable, and there will be a sufficient pool of experienced people to ensure the viability of the installations, but I think in the near future, people will be proceeding somewhat cautiously.
Godec: Regulatory agencies worldwide must agree that implementing PAT and QbD processes is a valuable and acceptable practice, and effectively communicate that to the industry. The regulatory inspectors must be trained to provide a common approach in dealing with advanced manufacturing processes; the cases of individual inspectors with personal non-agency conforming preferences will need to be eliminated.
Implementation of PAT and QbD methodologies will produce the most lean, cost effective, and highest quality organisations possible and will invest the early adopters with significant competitive and profitability advantages.
Smith: As an on-line TOC analyser vendor, we have designed instrumentation that specifically allows for the transition from the laboratory to the manufacturing floor. Our goal has been to provide instruments that can be used by manufacturing but that provides all of the tools required for qualification and online release by either manufacturing or quality personnel. By designing the instrument in this fashion, we hope to bridge the gap between quality and manufacturing/engineering to enable our pharmaceutical customers to implement real-time release programs and eliminate the need for offline laboratory testing. To this extent, we also recognise that we must change our selling strategies to include a greater degree of education to both quality and engineering teams to help our customers bridge the gap and realise the advantages of online instrumentation.
Mörée: An area we would like to stress is the need for academic research and education. The industry needs to help out both with guidance as well as funding and also with teachers in the start up phase of these programs. How to integrate necessary pharmaceutical and PAT knowledge into (chemical) engineering research and training is an area where the industry should help out. To maintain research and training dedicated solely towards the pharmaceutical industry is probably contra productive as that hinders the cross fertilisation between different manufacturing areas.
Maes: Solutions that link together the various PAT tools are required to be able to apply a PAT systems approach. This solution has to enable the collection of data and full integration of all information flows during processing and on-line prediction calculations as well as comparison of the actual batch trajectory to the previous or ideal trajectories.
It is only when all these tools are used together that the benefits of PAT can be realised. And on top if this can all be applied in a real-time mode than the full potential of PAT can be realised, leading to real-time release, one of the biggest benefits of PAT.
Case study: Status quo vs automation vs full PAT/QbD implementation in a vaccine plant
A vaccine plant was seeking to achieve cost savings through modernisation of manufacturing infrastructure. Interviews with different stakeholders and analysis of manufacturing data led to:
- The identification of areas for cost savings through the assessment of possible improvement scenarios
- An outline of operational and financial benefits for these various scenarios
- Assessment of the impact of different scenarios on the following KPIs:
- Labour (people)
- Manufacturing throughput time
- Inventory levels
Three improvement scenarios were identified. Each of these scenarios describe the various steps towards optimal PAT-enabled manufacturing, delivering the maximum benefits in terms of cost savings.
The scenarios are built up in such a way that maximum benefits are realised with minimal investments. They start with the quick wins followed by a sequence of medium to longer term improvement investments. Each improvement investment goes hand in hand with benefits which are displayed as an effect on the Key Performance Indicators (KPIs).
- Some of the scenarios can be executed in parallel; however when activities are carried out in parallel, the necessary skilled resources need to be available in order to deal with the complexity and the project management.
- A timeline was developed illustrating how much time it takes to implement the improvements as well as the resources and skill set needed for each of the improvement projects. The time to get regulatory approval should be superimposed on the outlined project execution time lines.
- In parallel with the timeline, the sequence of investments needed to realise that improvements were established.
The result was a calculation of the optimal scenario (in this case scenario 3) and its impact on the KPIs:
- Labour: 1/4 of operations people could be re-allocated and 1/3 of the QA/QC people could be freed up for other work
- Manufacturing throughput time: throughput time decreased with 1/3 freeing up capacity and allowing extra production with the same headcount
- Quality: 13% of the cost of QA and QC are eliminated because of improvement in right first time
- Waste reduction: 3.5%
- Inventory: inventory could be reduced by 1/3 (representing about US$14.3 million in this case).
In terms of PAT implementation, maximum benefits were achieved with a broad PAT definition. This means looking at the full opportunities offered by PAT, as outlined in the FDA PAT Guidance (for example real-time product release, manufacturing performance improvement, quality consistency improvement and regulatory flexibility). This was preferable to a “limited PAT” approach based only on the implementation of an on-line sensor. We found that the feasibility of a broad PAT enabled manufacturing process, could be demonstrated with much more certainty.
Richard Godec is the New Product and Market Development Manager at General Electric Analytical Instruments, a division of the Water and Process Technologies Business Group. He is responsible for the development of new analyzers to measure TOC and TOx in water, trace boron in water, trace urea in water, and organic sulfur in petrochemicals. He holds over 36 International Patents in these fields. Mr. Godec is currently an active member of American Chemical Society, AIChE, ITRS (Semiconductor Ultrapure Water Roadmap Committee), ASTM International’s E55 Pharmaceutical Manufacturing Standards Committee, and the ISPE “PAT Community of Practice” Education Committee. He holds a Chemical Engineering degree from the University of Colorado, USA.
Petter Mörée is currently Director of On-line products for Umetrics. As Umetrics’ major customer base is within Pharmaceutical production his work has a dual focus.
For Umetrics’ collaborations to implement multivariate on-line technology, the SIMCA product series, with systems suppliers such as Siemens, GE and ABB is an important way to provide easier ways to implement solutions for the pharmaceutical industry. Petter is also responsible for sales to large Pharmaceutical companies in the Germanic market.
In both of these areas, Petters strong technical background with a M.Sc. in technical chemistry with a specialisation towards chemometrics is a large benefit. After his M.Sc. Petter joined Umetrics as an application specialist and has for the last 5 years, worked towards PAT with increased responsibilities.
Steve Doherty is currently in the corporate PAT group at Eli Lilly and Co. in Indianapolis. Steve received his B.A. in Chemistry at Wabash College in 1981 and his Ph.D. in Analytical Chemistry at Indiana University in 1989. His current position involves the deployment of process analytical tools in development and manufacturing environments to increase process understanding, and partnering with instrument vendors to drive the implementation of new technologies. He is past Chairman for the Center for Process Analytical Chemistry’s Industrial Advisory Board, serves on the Scientific Board of the International Forum on Process Analytical Sciences, and is on the Steering Team of the Pharmaceutical Process Analytical Roundtable.
Ingrid is responsible for innovative technologies, including Process Analytic Technology (PAT), within the Siemens Headquarter Competence Centre Pharma, located in Antwerp (Belgium). She obtained a Master degree in Chemical Engineering, and in biotechnology and medicinal chemistry, from the University of Brussels. She has worked, for the past 15 years, in Process Analytics and Multivariate Data Analysis as Marketing and Sales Manager, and for developing new application fields for Process Analytics and control, in many industrial branches. She is author of many presentations at international conferences. She is also involved in various PAT related organisations, such as Executive Committee member of ASTM E55 (Pharmaceutical Manufacturing) and the ISPE PAT Interest Groups (SIG). She has presented at the FDA inspectors and reviewers training in Washington.
Mr. Slapikas has been involved in the design, application, sales, and servicing of mass spectrometers for close to 30 years. He is currently the Product Manager for Process Mass Spectrometry at Ametek Process Instruments with special emphasis on developing on-line analytics and applications for the pharmaceutical industry.
Matthew J. Smith is the Life Sciences Marketing Manager for Hach Ultra Analytics, manufacturer of Anatel TOC analyzers, Orbisphere and Polymetron electrochemical sensors, Met One and HIAC particle counters. Prior to joining Hach Ultra in 2006, Matt’s PAT expertise was developed in the field of infrared, near-infrared and Raman spectroscopy. In this capacity, Matt served as Director of Sales for Axsun Technologies and spent 17 years in sales and marketing with the Nicolet product division of Thermo Fisher Scientific. Matt earned his Ph.D. in Physical Chemistry from Duke University in 1988.
Chris Hobbs is responsible for ABBs PAT Main Execution Centre (MEC) for Europe based in St Neots, Cambridgeshire UK. Chris is one of the founder members of ABBs global team for PAT and brings with him more than 20 years of practical experience of DCS deployment over many types of industries. Over the last few years Chris has moved from taking a leading technical role with Process Control, MES and ERP products to a strategic solution deployment role for ABB’s PAT solution developed by ABB’s global PAT team in partnership with the pharmaceutical industry.