Download APACT '19 Programme (PDF)
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.
Registration and Coffee
INDUSTRY 4.0 AND ANALYTICS; ANALYTICAL STRATEGIES - TRENDING AND MODELLING; WHICH METHODS FOR WHICH DATA
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.
REGISTRATION AND COFFEE
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.
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.
REVIEW OF PCA/PLS, CENTERING, NORMALISATION, AND BASELINING METHODS AND SPECIALISED SCALING
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.
THE BUILDING BLOCKS OF PROCESS CONTROL: AN INTRODUCTION TO FEEDBACK CONTROL, PROPORTIONAL CONTROL (P); PROPORTIONAL + INTEGRAL CONTROL (PI); PROPORTIONAL + INTEGRAL + DERIVATIVE CONTROL (PID) CONTROL
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.
REGISTRATION AND EXHIBITION OPEN
FORMULATION AND PROCESSING: OPTIMISATION MANUFACTURABILITY
Peter Fryer, University of Birmingham, UK
OPPORTUNITIES AND CHALLENGES FOR AI IN INDUSTRIAL PROCESSES AND APPLICATIONS
Stephen McArthur, University of Strathclyde, UK
NEW DIGITAL TECHNOLOGIES AND THEIR IMPACT ON VALIDATION METHODOLOGY AND COMPLIANCE FOR GMP AND NON- GMP APPLICATIONS IN LIFE SCIENCES
Lee Hough, Emerson, UK
TEA/COFFEE AND EXHIBITION AND POSTERS
APPLICATION OF IN-LINE TECHNOLOGY IN CRYSTALLISATION
Andre Powell, AstraZeneca, UK
IN SITU HIGH SPEED NIR IMAGING TO MONITOR FORM CHANGE AND DRUG RELEASE FROM RAPIDLY DISINTEGRATING TABLETS
Lucy Hawarden, Bristol-Myers Squibb, UK
17.20 - 18.20
EXHIBITORS SHOWCASE PRESENTATIONS (INCLUDING REFRESHMENTS)
CHEMOMETRICS IN PAT: MODELS, MEASUREMENTS AND INFORMATION
Anna de Juan, University of Barcelona, Spain
AUTONOMOUS CALIBRATION AND THE IMPACT ON PROCESS ANALYSIS AND CONTROL
Brian Rohrback, Infometrix, USA
DOING MORE WITH LESS: SEMI-SUPERVISED CALIBRATION WITH DOMAIN-INVARIANT PARTIAL LEAST SQUARES REGRESSION
Ramin Nikzad-Langerodi, RECENDT, Austria
Session sponsored by the RSC Process Chemistry
DATA DRIVEN PROCESS UNDERSTANDING
Gillian Turner, GlaxoSmithKline, UK
IN-LINE MONITORING OF SOLID SULPHATE PRECIPITATION BEHAVIOUR IN NATURAL AND SYNTHETIC BRINES USING RAMAN SPECTROSCOPY AND MCR
Werner Barnard, Nouryon, The Netherlands
REACTION MONITORING OF COMPLEX SYSTEMS BY NMR SPECTROSCOPY – REAL EXAMPLES FROM THE PHARMACEUTICAL INDUSTRY
Steve Coombes, AstraZeneca, UK
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
PERFORMANCE OF INLINE NIR PROBES IN AQUEOUS POLYMER DISPERSIONS
Jurjen ter Maat, Nouryon, The Netherlands
LUNCH AND EXHIBITION
EXHIBITION AND POSTERS
INLINE SPECTROSCOPY: THE JOURNEY FROM CONCEPT TO FUNCTION
Marion O’Farrell, SINTEF Digital, Norway
ONLINE NMR SPECTROSCOPY FOR PROCESS ANALYTICAL APPLICATIONS AND ASPECTS ON AUTOMATION AND DIGITIZATION OF PROCESS INDUSTRY
Michael Maiwald, BAM, Germany
A COMPARISON OF ANNS, SVMS AND XGBOOST IN CHALLENGING CLASSIFI CATION PROBLEMS
Barry Wise, Eigenvector Research Inc, USA
Session 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
MACHINE LEARNING FOR PHARMACEUTICAL PROCESS CONTROL AND MONITORING; REVOLUTION OF EVOLUTION?
John Mack, Perceptive Engineering, UK
BEYOND THE BOUNDARIES OF CONVENTIONAL SPECTROSCOPY: THE BENEFI TS OF HIGH-THROUGHPUT RAMAN FOR PROCESS ANALYSIS
Mark Kemper, Tornado Spectral Systems, Inc., Canada
DETECTING VALVE STICTION USING CLASSIFI ERS TRAINED ON FEATURES EXTRACTED FROM TIME SERIES
Harrison O’Neill, University of Chester, UK
PAT FOR INDUSTRY 4.0: DEVELOPMENTS IN EMBEDDED SPECTROMETER SYSTEMS AND RAMAN SPECTROSCOPY
Christian Lux, tec5 AG, Germany
CONFERENCE DINNER AND ENTERTAINMENT
Pharma & Biopharma Monitoring and Control
THE CONTINUOUS MANUFACTURING CONTROL STRATEGY LIFECYCLE
Martin Warman, Martin Warman Consultancy Ltd, UK
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
NIR SPECTROSCOPY FOR PROCESS CHARACTERISATION AND MONITORING OF CONTINUOUS DIRECT COMPRESSION (CDC)
David Wilsdon, Pfizer, UK
IN-LINE PROCESS MONITORING OF CELL VIABILITY AND APOPTOSIS IN BIOREACTORS USING DYNAMIC IMAGING ANALYSIS
Claudia Corredor, Bristol-Myers Squibb, USA
NEXT GENERATION MANUFACTURING AT BIOGEN - PAT AS AN ENABLER FOR ENHANCED PROCESS CONTROL IN COMMERCIAL ANTIBODY MANUFACTURE
Oliver Steinhof, Biogen International GmbH, Switzerland
Sponsored by Clairet Scientific Ltd.
POSTER PRIZE PRESENTATION
12.40 - 12.45
CLOSING REMARKS, FOLLOWED BY LUNCH