Four optional half day pre-conference courses will run in parallel on Monday 29th April 2019 at the Crowne Plaza Hotel.
These courses will be open to both conference delegates as a low cost additional option, or may be attended on a ‘course only’ basis.
Across industries one of the main challenges in manufacturing processes is to monitor and control variation. Successful variation control ensures predictable production and accompanying business benefi ts. Recently there have been major developments in sensor technology allowing and increasing the number of inline and online measurements. Together with improvements in IT infrastructure and technology, the sensor development contributes to rapid growth in the data available for any process. The big data challenge requires suitable timely analytics to enable each factory to make the most of the opportunities that the new paradigm is offering. A common label for this challenge is Industry 4.0.
Analytics is a key component within Industry 4.0. Relevant actionable results are required, and these results must be available for the control system in a timely manner. Multivariate methods are well established and proven useful within process monitoring. Lately there have also been a number of applications where machine learing and artifi cial intelligence (AI) have been considered. The choice of method depends on the type of data available and the purpose of the analytics.
In this training, the challenges and opportunities for monitoring and control within the big data paradigm are reviewed. The focus is on analytics and integration within the manufacturing process. The underlying question which we are trying to answer is how to create and apply manufacturing intelligence.
11.45
Registration and coffee
12.00
Lunch
13.00
Industry 4.0 and analytics; Analytical strategies - trending and modelling; Which methods for which data
15.00
Tea/coffee
15.20
Multivariate analysis and machine learing and AI; Process monitoring program - what, how and when; Manufacturing intelligence
This course will be facilitated by Geir Rune Flaten, CAMO Analytics.
11.45
Registration and coffee
12.00
Lunch
13.00
Theory: Introduction to Design of Experiments (DoE). Introduction to designs including: Full & Fractional Factorial (classical), Plackett-Burman, Response Surface, Mixture and Defi nite Screening Designs. The theory behind some of the most commonly applied designs from a design and analysis perspective will be explored with practical examples. Advantages and disadvantages of the designs with a particular focus on Defi nitive Screening Designs will be discussed. Course delegates will share their knowledge and any industrial case studies with the rest of the learning cohort.
15.00
Tea/coffee
15.20
Application: Setting up and analysing designs within software. Course delegates will practise using the designs within a statistical software package. The session will close with a summary discussion and action planning.
This course will be facilitated by Matthew Linsley, University of Newcastle.
Advanced Spectral Preprocessing without Equations takes up where our Chemometrics without Equations course leaves off. It is assumed that participants will have a working knowledge of Principal Components Analysis (PCA) and regression with Partial Least Squares (PLS). The course concentrates on improving chemometric models via advanced preprocessing methods.
The critical difference between inadequate and successful chemometric models is often data preprocessing, i.e. what is done to the data before using PCA, PLS etc. The goal of preprocessing is to remove variation not related to the problem of interest so that the variation of interest is more evident and can be more easily modelled. The course focuses on advanced preprocessing methods, including baselining, normalisation, smoothing and derivatives, Extended Multiplicative Scatter Correction (EMSC) and Generalised Least Squares (GLS), for improving models. The effect of preprocessing on the robustness of the fi nal models is also considered.
11.45
Registration and coffee
12.00
Lunch
13.00
Review of PCA/PLS, centering, normalisation, and baselining methods and specialised scaling
15.00
Tea/coffee
15.20
Filtering and derivatives, GLS, EMSC
This course will be facilitated by Barry M. Wise, President of Eigenvector Research and creator of PLS_Toolbox chemometric software.
The course will provide an overview of closed loop process control for scientists and engineers that have no background in process control and automation. Suffi cient knowledge will be provided to allow delegates to appreciate the scope of process control techniques and the challenges that need to be considered when implementing process control strategies within a PAT and QbD environment. The topics will include classical feedback control with process examples; feedforward and inferential control; multi-loop control; analytical feedback control; and will fi nish with a brief overview of more advanced control systems now being applied. Industrial case studies will be used.
11.45
Registration and coffee
12.00
Lunch
13.00
The Building Blocks of Process Control: An Introduction to Feedback Control, Proportional Control (P); Proportional + Integral Control (PI); Proportional + Integral + Derivative Control (PID) Control
15.00
Tea/coffee
15.20
Multi-loop Control Systems; Cascade Control; Ratio Control; Feedforward Control; Model Based Predictive Control; Inferential Measurement & Software Sensors
This course will be facilitated by Julian Morris, CPACT.
11.00
Registration and exhibition open
11.00
Exhibition
12.00
Lunch break
13.10
Welcome
13.10
Formulation and processing: optimisation manufacturability
Peter Fryer, University of Birmingham, UK
Plenary 114.00
Opportunities and challenges for AI in industrial processes and applications
Stephen McArthur, University of Strathclyde, UK
Plenary 214.50
New digital technologies and their impact on validation methodology and compliance for GMP and non- GMP applications in life sciences
Lee Hough, Emerson, UK
Keynote 115.30
Tea/coffee and Exhibition and Posters
16.00
Application of in-line technology in crystallisation
Andre Powell, AstraZeneca, UK
Keynote 216.40
In situ high speed NIR imaging to monitor form change and drug release from rapidly disintegrating tablets
Lucy Hawarden, Bristol-Myers Squibb, UK
Keynote 317.20 - 18.20
Exhibitors showcase presentations (including refreshments)
19.00
Dinner
20.00
Social activity
9.00
Chemometrics in PAT: models, measurements and information
Anna de Juan, University of Barcelona, Spain
Plenary 39.50
Autonomous calibration and the impact on process analysis and control
Brian Rohrback, Infometrix, USA
Keynote 410.30
Tea/coffee and exhibition and posters
11.00
Doing more with less: Semi-supervised calibration with domain-invariant partial least squares regression
Ramin Nikzad-Langerodi, RECENDT, Austria
Parallel session: Multivariate MethodsSession sponsored by the RSC Process Chemistry
Data driven process understanding
Gillian Turner, GlaxoSmithKline, UK
Parallel session: Reaction Monitoring11.30
In-line monitoring of solid sulphate precipitation behaviour in natural and synthetic brines using Raman spectroscopy and MCR
Werner Barnard, Nouryon, The Netherlands
Parallel session: Multivariate MethodsSession sponsored by the RSC Process Chemistry
Reaction monitoring of complex systems by NMR spectroscopy – Real examples from the pharmaceutical industry
Steve Coombes, AstraZeneca, UK
Parallel session: Reaction Monitoring12.00
Combining design of experiments and development of a model predictive controller for industrial scale-up of liquid-liquid formulated product
Min Zhang, University of Birmingham, UK
Parallel session: Multivariate MethodsSession sponsored by the RSC Process Chemistry
Performance of inline NIR probes in aqueous polymer dispersions
Jurjen ter Maat, Nouryon, The Netherlands
Parallel session: Reaction Monitoring12.30
Lunch and Exhibition
13.30
Exhibition and Posters
14.00
Inline spectroscopy: the journey from concept to function
Marion O’Farrell, SINTEF Digital, Norway
Keynote 514.40
Online NMR spectroscopy for process analytical applications and aspects on automation and digitization of process industry
Michael Maiwald, BAM, Germany
Keynote 615.20
Tea/coffee and Exhibition and Posters
15.50
A comparison of ANNs, SVMs and XGBoost in challenging classifi cation problems
Barry Wise, Eigenvector Research Inc, USA
Parallel session: Machine Learning & Classifi cation MethodsSession sponsored by the RSC Molecular Spectroscopy Group
Dynamic drying monitoring of a fi xed bed using 3D-electrical capacitance tomography
Giuseppe Forte, Johnson Matthey Technology Centre, UK
Parallel session: Process Analysis16.20
Machine learning for pharmaceutical process control and monitoring; Revolution of evolution?
John Mack, Perceptive Engineering, UK
Parallel session: Machine Learning & Classifi cation MethodsSession sponsored by the RSC Molecular Spectroscopy Group
Beyond the boundaries of conventional spectroscopy: The benefi ts of high-throughput Raman for process analysis
Mark Kemper, Tornado Spectral Systems, Inc., Canada
Parallel session: Process Analysis16.50
Detecting valve stiction using classifi ers trained on features extracted from time series
Harrison O’Neill, University of Chester, UK
Parallel session: Machine Learning & Classifi cation MethodsSession sponsored by the RSC Molecular Spectroscopy Group
PAT for Industry 4.0: Developments in embedded spectrometer systems and Raman spectroscopy
Christian Lux, tec5 AG, Germany
Parallel session: Process Analysis17.20
Free time
18.10
Exhibitors showcase presentations (including refreshments)
19.00
Free time
19.30
Conference dinner and entertainment
Pharma & Biopharma Monitoring and Control
9.00
The continuous manufacturing control strategy lifecycle
Martin Warman, Martin Warman Consultancy Ltd, UK
Keynote 79.40
Integrated control strategy for continuous manufacturing direct compression by using NIR and residence time distribution (RTD) predictive models: Experiences and challenges
Stephen Conway/Juan Rosas, Merck Sharp and Dohme (MSD), UK
Keynote 810.30
Tea/Coffee and Exhibition and Posters
11.00
NIR spectroscopy for process characterisation and monitoring of continuous direct compression (CDC)
David Wilsdon, Pfizer, UK
11.30
In-line process monitoring of cell viability and apoptosis in bioreactors using dynamic imaging analysis
Claudia Corredor, Bristol-Myers Squibb, USA
12.00
Next generation manufacturing at Biogen - PAT as an enabler for enhanced process control in commercial antibody manufacture
Oliver Steinhof, Biogen International GmbH, Switzerland
12.30
Sponsored by Clairet Scientific Ltd.
Poster prize presentation
12.40 - 12.45
Closing remarks, followed by lunch