Sector News

Why digitisation in pharma is multi-faceted

March 6, 2019
Borderless Future

Compared to many other industries, pharmaceutical production underlies more demanding regulations. Changes to production mean changes to the machines, processes and ultimately the product itself. To ensure consistently high product quality, authorities like the US FDA and the EU Commission issue strict guidelines, such as those on Good Manufacturing Practice (GMP). Accordingly, companies have their fair share of reservations when it comes to implementing new and untried technologies.

Nevertheless, many pharmaceutical companies have already taken the first step toward digitisation and are now engaged in its implementation. In this case, we are talking about serialisation based on Track and Trace applications – at least, if a holistic solution is used. To adhere to all relevant legal guidelines, it is not enough to simply print a data matrix code on the folding carton. A holistic serialisation and aggregation solution should include the connection between machines and software, ensuring that the entire process can be managed, and the data is constantly available. Only this way manufacturers and distributors alike have a clear overview of all process steps.

Getting started step by step

The implementation of a serialisation solution alone represents a huge challenge. However, in the next step, pharmaceutical companies face obstacles of a very different kind: while Track and Trace applications focus on the packaging, other instruments directly affect the production or filling process. Accordingly, pharmaceutical manufacturers have especially high demands when it comes to new industry 4.0 solutions. They need the security of knowing that a given solution can be or has already been successfully implemented in the market.

Digitisation projects can influence many processes and components. Hence, no one party can or should try to implement them alone. Instead, digitisation is about bundling the respective expertise and experience on a cross-project basis. This can include participating in nationwide initiatives. Above all, however, machine providers, software manufacturers and process experts need to work together closely to reap the maximum benefits of industry 4.0 for their customers. This does not mean they have to replace their entire machine park or abandon their current production philosophy. A step-by-step approach is often the more sensible alternative.

Making use of existing competencies

For this purpose, an introductory solution offers like Bosch’s Pharma i 4.0 Starter Edition is a good fit. The package offers machine operators key functions for condition monitoring, event tracking and measuring Overall Equipment Effectiveness (OEE) on their PC or mobile device, including a complete audit trail for all user interactions. The data gathered by the software can be subsequently analysed and used as the basis for targeted process optimisations. This also includes historical data, which can be compared to real-time data and offers valuable insights into the development of central parameters, such as the OEE within a certain timeframe.

Thanks to the use of open standards, incorporating machines and lines from different brands does not mean reinventing the wheel. OPC-UA and the machine programming language PackML are primarily used as the standard for communication and data exchange. Adding further features, for instance the generation of Electronic Batch Records (EBR), is also possible. Here, too, all process steps are subject to strict regulations concerning electronic signatures, GMP-compliant processes and long-term data archiving.

Finding buried treasure

Once the data is available, the real challenge consists in identifying previously overlooked information and new potential for optimisation. With the help of data analytics or data mining, huge amounts of data are assessed for effects and correlations using statistical methods. Usually, the data from two production batches is sufficient to draw initial conclusions. Yet the more data is evaluated, the more details come to light. The only equipment needed are sensors to gather the data, which can also be found on the majority of older machines, and the right tool for analysing the data. The most important aspect, however, is the combination of extensive process expertise and IT know-how.

From vision to reality

In the near future, such recalibrations could be even easier, thanks to Augmented Reality and Virtual Reality (AR and VR). For example, AR applications can guide employees through the process step by step, and be used to display calibration instructions and spare parts. This can considerably accelerate the process without the need for lengthy training. When more complex processes are involved that make training essential, it no longer has to take place in a classroom or on the shop floor. VR applications produce 3D simulations of machines, which can be used under highly realistic conditions in virtual training sessions. Trainers can follow the simulation live and add helpful instructions as needed, while operators can practice safely and without stress, since any errors they make will have no direct consequences or interrupt the ongoing process.

Admittedly, some of these industry 4.0 applications are still in an early stage of development. Nonetheless, the digital future is within our grasp, as essential devices like sensors are getting smaller and smaller, and components are becoming more affordable. To gradually make the vision of a connected pharmaceutical industry a reality in day-to-day production, strong partnerships are called for. After all, the challenges posed by digitisation can only be successfully and sustainably overcome if machine manufacturers, software developers, process experts, and employees work hand in hand.

By Dr Christian Hanisch

Source: EPM Magazine

comments closed

Related News

January 23, 2022

How to prepare for a sustainable future along the value chain

Borderless Future

Consumer-goods companies are setting ambitious sustainability targets for themselves. To reach those targets, however, changes are required along the entire value chain—with a concrete road map.

January 15, 2022

11 Trends that will shape work in 2022 and beyond

Borderless Future

The level of volatility will not slow down in 2022. New Covid variants will continue to emerge and may cause workplaces to temporarily go remote again. Hybrid work will create more unevenness around how much different employees are working. Many will have real wage cuts as annual compensation increases fall behind inflation. All these will be layered on top of technological transformation, DE&I journeys, and ongoing political disruption and uncertainty.

January 9, 2022

Are New Year’s resolutions powerful or pointless?

Borderless Future

1 January may seem like an arbitrary date to start self-improvement, but there are good psychological reasons for doing so. For those who don’t follow this tradition, the very act of creating a New Year’s resolution can seem illogical. Recent psychological research, however, suggests that there are many good reasons to begin a new regime on the first day of a new year. And by understanding and capitalising on those mechanisms, we can all increase our chances of sticking to our new goals for 2022.

Send this to a friend