Programme

Programme

Pre-conference courses

Three optional pre-conference courses will run in parallel on Tuesday, 24th April 2018 at the Hilton Gateshead 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.


COURSE 1: AN INTRODUCTION TO DESIGN OF EXPERIMENTS (DOE)

Design of Experiments (DoE) is a methodology used for designing and optimising robust industrial processes. DoE is recognised as an essential skill by many of the world’s leading process organisations. This 1-day introductory workshop is delivered by the Industrial Statistics Research Unit (ISRU) at Newcastle University and provides delegates with an opportunity to augment their process knowledge through the understanding of a sequential DoE strategy. The workshop is targeted at scientists, working at all scales from research to manufacturing, from both academia and industry including chemical, pharmaceutical, food & beverages and paints & coatings organisations. The workshop will involve a series of facilitated sessions, involving experimental design, analysis and interpretation of data, that explore scoping, screening, optimisation and robustness phases. Delegates will be encouraged to apply the strategy within their own research and improvement environments.


10.00

Registration and coffee


10.30

Introduction to DoE and Planning & Scoping


12.15

Coffee


13.15

Screening Designs and Analysis


14.50

Coffee


15.10

Optimisation & Robustness


16.45

Round up, final questions and finish


COURSE 2: BATCH PROCESS ANALYSIS AND MONITORING

Batch processes are widely used in many industries. Typically, raw materials are combined in a batch reactor before a chemical, physical or biological transformation takes place, resulting in the end product.

When it comes to the modeling of batch data there are several challenges such as unequal run lengths of batches, unequal transformation time (quicker/slower reactions) and variations in sampling frequency between batches.

Depending on the application and required information as the process progresses, various modeling strategies can be employed:

  1. Prediction of the yield directly with suitable in-line sensors, e.g. spectroscopy
  2. Projecting the new batch onto an endpoint model and decide if the process has reached its end
  3. Project the new batch on one existing batch for qualitative visual assessment
  4. Follow the batch progression with a moving-block method; suitable e.g. for mixing processes
  5. Model a batch trajectory using relative time

This pre-conference course will give an overview of the strategies listed above and the need for proper validation will also be discussed.


10.00

Registration and coffee


10.30

Batch Process Analysis background and strategies


12.15

Coffee


13.15

Batch process relative time models and validation


14.50

Coffee


15.10

Monitoring and assessment of new production batches


16.45

Round up, final questions and finish


COURSE 3: CHEMOMETRICS WITHOUT EQUATIONS (OR HARDLY ANY)

Chemometrics without equations concentrates on two areas of chemometrics:

  1. exploratory data analysis and pattern recognition, and
  2. regression.

Participants will learn to safely apply techniques such as Principal Components Analysis (PCA), Principal Components Regression (PCR), and Partial Least Squares (PLS) Regression. Examples will include problems drawn from process monitoring and quality control, predicting product properties, and others. The target audience includes those who collect and/or manage large amounts of data that is multivariate in nature. This includes bench chemists, process engineers, and managers who would like to extract the maximum information possible from their measurements.

Target audience

Chemometrics Without Equations (or hardly any) is designed for those who wish to explore the problem solving power of chemometric tools, but are discouraged by the high level of mathematics found in many software manuals and texts. Course emphasis is on proper application and interpretation of chemometric methods as applied to real-life problems. The objective is to teach in the simplest way possible so that participants will be better chemometrics practitioners and managers.

Course Outline

  1. Introduction
    1. What is chemometrics?
    2. Resources
  2. Pattern Recognition Motivation
    1. What is pattern recognition
    2. Relevant measurements
    3. Some statistical definitions
  3. Principal Components Analysis
    1. What is PCA?
    2. Scores and loadings
    3. Interpretation
    4. Supervised and unsupervised pattern recognition
    5. Examples
  4. Regression
    1. What is regression?
    2. Classical least squares (CLS)
    3. Inverse least squares (ILS)
    4. Principal components regression (PCR)
    5. Partial least squares regression (PLS)
    6. Examples
  5. Summary

10.00

Registration and coffee


10.30

Introduction and Pattern Recognition Motivation


12.15

Coffee


13.15

Principal Components Analysis


14.50

Coffee


15.10

Regression


16.45

Round up, final questions and finish

9.30

Registration and Coffee


10.00

Welcome


10.10

Model based optimal process analyser?

Thomas De Beer, University of Ghent, Belgium

Plenary 1

11.00

Process measurement for formulation processes

Hugh Stitt, Johnson Matthey, UK

Keynote 1

11.40

Electrical tomography for on-line process monitoring

Tom Rodgers, University of Manchester, UK

Keynote 2

12.20

Lunch break


13.20

Exhibition and Posters


14.00

Scaling up batch polymorphic crystallisation using PAT/QbD approach

Chee Wee, Institute of Chemical and Engineering Sciences (ICES), Singapore

Keynote 3

14.40

Digital design (and operation) of drug products and their manufacturing processes

Sean Bermingham, Process Systems Enterprise (ADDOPT), UK

Keynote 4

15.20

Tea and Coffee / Exhibition and Posters


15.50

Domain - invariant partial least squares regression: A novel calibration transfer paradigm

Ramin Nikzad-Langerodi, Johannes Kepler University, Austria

Parallel session: Process Chemometrics

ASTM D7310-18*: Trying to turn art into science: bringing gel counting one step closer to a full method

Peter Mayo, Borealis, Austria

Parallel session: Polymer Process Measurements

16.20

Utilising the unexplored dimension of hyperspectral maging: Decision level fusion of textural and spectral information for improvement of green teas classification

Puneet Mishra, University of Strathclyde, UK

Parallel session: Process Chemometrics

Automated process rheometer calibration method

Qun Gu, The Dow Chemical Company, The Netherlands

Parallel session: Polymer Process Measurements

16.50

Model maintenance and lifecycle management for manufacturing

Dimitris Alexandrakis, CAMO Software, Norway

Parallel session: Process Chemometrics

Establishing Raman spectroscopy in polymer processes

Ian R Lewis, Kaiser Optical Systems, USA

Parallel session: Polymer Process Measurements

17.20 - 18.15

Exhibitors showcase presentations (including refreshments)


18.30

Dinner


19.30

Social activity

9.00

Raman applications throughout the petroleum refi nery - crude unit to blending

Lee Smith, Process Instruments, USA

Plenary 2

9.50

Establishment and lifecycle management of transmission Raman spectroscopy for near-time monitoring

Vicki Woodward/Nicholas Pedge, AstraZeneca, UK

Keynote 5

10.30

Tea and Coffee / Exhibition and Posters


11.00

TBC

Parallel session: QbD enabled process robustness

Hyperpolarised benchtop NMR for industrial reaction monitoring

Olga Semenova, University of York, UK

Parallel session: Advances in reaction monitoring

11.30

TBC

Parallel session: QbD enabled process robustness

Multi-spectral fi bre spectroscopy for reaction monitoring - from R&D to IoT-sensors

Viacheslav Artyushenko, art photonics, Berlin

Parallel session: Advances in reaction monitoring

12.00

TBC

Parallel session: QbD enabled process robustness

TBC

Parallel session: Advances in reaction monitoring

12.30

Lunch Break


13.30

Exhibition and Posters


14.00

High speed video analysis and modelling as techniques for scale up of wet granulation

Patrick Wray, Bristol-Myers Squibb, UK

Keynote 6

14.40

Software sensors and inferential estimation - Industrial case studies

Julian Morris, CPACT, UK

Keynote 7

15.20

Tea and Coffee / Exhibition and Posters


15.50

Hybrid modelling techniques in application in the nuclear industry

Christopher Connolly, National Nuclear Laboratory, UK

Parallel session: Process Modelling

Photon density wave spectoscopy as a new approach for in-line monitoring of fermentation processes as an alternative to established optical PAT

Thomas Schiewe, University of Potsdam, Germany

Parallel session: Emerging Process Analysis Technologies

16.20

A novel method for the parameter identifi cation of large-scale hybrid semi-parametric models

Paulius Rasiukas, Newcastle University, UK

Parallel session: Process Modelling

Miniature MEMS-based infrared spectrometers applied for spectroscopic inline process analysis

Markus Brandstetter, Research Centre for Non-Destructive Testing (RECENDT), Austria

Parallel session: Emerging Process Analysis Technologies

16.50

Application of digital design to the development of model predictive control in the pharmaceutical industry

John Mack, Perceptive Engineering, UK

Parallel session: Process Modelling

Detection of trace caesium during nuclear waste vitrifi cation by remote laser induced breakdown spectroscopy

Stella Tournier, University of Manchester, UK

Parallel session: Emerging Process Analysis Technologies

17.20

Free time


18.10

Exhibitors showcase presentations (including refreshments)


19.00

Free time


19.30

Conference dinner and entertainment

9.00

Multi-parametric control strategies for enabling continuous biomanufacturing

Christoph Herwig, Technical University of Vienna, Austria

Plenary 3

9.50

Drug product supply chains enabled by continuous manufacturing

Liz Meehan, AstraZeneca (REMEDIES), UK

Keynote 8

10.30

Tea and Coffee / Exhibition and Posters


11.00

Chemometric modeling for preventative maintenance applied to continuous tableting

Simeone Zomer, GlaxoSmithKline, UK


11.30

Process stream characterisation by simultaneous laser doppler velocimetry and stand-off Raman spectroscopy

Bahram Haddadi Sisakht, TU Wien, Austria


12.00

Meeting the challenges of monitoring complex emissions using process analytics

Robert Wright, Thermo Fisher Scientific, UK


12.30

Closing remarks


12.40

Lunch and close