Continuous Manufacturing as a subject and an opportunity keeps getting hotter and hotter. So, it only makes sense that we approach the topic of Continuous Manufacturing and MSPC. Why? Because the later greatly helps the former!

Are the classical univariate statistical controls too… classic?

When you work with Batch production, charts like Shewhart type or Cumulative Sum are useful. They allow for a trend analysis of attributes and the determination of critical deviations on a variable level during batch production.

But then when we move to Continuous Manufacturing, we might have a problem. Let’s look at it.

You may already have all the platforms that can guide you in the analysis. In that analysis, you will see all the plots that are the most critical and have a higher number of deviations. But well, you can’t analyse and collect all relevant information from all of them at the same time.

Imagine that you have a panel with 50 Shewhart control charts. How are you going to analyse that?

So, how can we change that?

MSPC comes to rescue!

Conclusion: you need a methodology that helps you analyse all plots and collect the relevant information. But what could that methodology be?

Of course, it’s Multivariate Statistical Process Control (MSPC)!

MSPC provides you a single view for all the attributes. But, as they say, there’s more! MSPC brings a whole set of other advantages such as:

  • It’s more sensitive to an out-of-control situation;
  • Brings the correlation effect to the discussion;
  • And, it simplifies the identification of major impact events.

To put it simply, MSPC enables the application of multivariate statistical techniques to analyse complex process data.

In addition to real-time automatic data collection, you can generate multivariate control charts and have a simple view of complex information.

Continuous Manufacturing and MSPC work well together.

So, a MSPC provides a quick analysis and follows an increased number of variables. If we align this approach with Process Analytical Technology (PAT), we have an opportunity.

We have a clear window to create visualisation of complex multidimensional data!

How can this help you? Well, for start, it allows you to perform Continuous Manufacturing process monitoring. And then, it opens the possibility for Real-Time Release Events and Testing.

And the power of the multivariate analysis is great! If you are projecting all the variables effects into one design space, you can look at same information from different points of view.

Essentially, it is a multivariate control chart. But it means that you have a simple view of very complex information.

This MSPC approach allows you to add a new knowledge layer to the process. If you align this approach with a QbD Framework implementation, you will be able to prevent major deviations and predict behaviour way ahead of time.

You’ll be taking a solid step towards the industry 4.0.

But how can you make this type of analysis?

Well, our recommendation is having a science-based platform that is able to provide all aspects of the 4.0 process development and lifecycle management. Preferentially, all under the same environment.

Our choice is iSEE Platform™. It’s a robust Data-Science and risk-based platform that helps you to accelerate your processes with faster decisions, post-launch continuous improvement and agile change management.

Click here to know more about it!

Reach out to us

Our team is putting a lot of focus on the delivery of Continuous Manufacturing Implementation and Support. If you’d like to move towards the benefits of Continuous Manufacturing, take a look at our services!

Interested in this topic?

Check our blog posts related to continuous manufacturing!