| EPSRC Reference: |
GR/N01279/01 |
| Title: |
TRI-DIMENSIONAL DECOMPOSITIONS IN MULTIVARIATE STATISTICAL PROCESS CONTROL |
| Principal Investigator: |
Morris, Professor AJ |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Chemical Engineering & Advanced Material |
| Organisation: |
Newcastle University |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 January 2000 |
Ends: |
31 December 2002 |
Value (£): |
42,069
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| EPSRC Research Topic Classifications: |
| Design of Process systems |
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| EPSRC Industrial Sector Classifications: |
| Manufacturing |
Chemicals |
| Pharmaceuticals and Biotechnology |
Information Technologies |
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Summary on Grant Application Form |
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An area of increasing industrial importance is that of agile and responsive manufacturing through batch-type operations. Currently there is a lack of fundamental research into the key methodologies required to develop process performance monitoring schemes which consider both the dynamic trajectories of the batch and also the correlations present between the variables themselves. A key area of research is that of tri-linear analysis. It is proposed to investigate and compare the use of multi-projection based techniques, tri-linear decomposition (TLD) and parallel factor analysis (PARAFAC) and its variants using both synthetic and actual plant data. The effect of time-line stretching will also be investigated. The potential of existing MSPC methodologies has been limited by its inability to handle more than one recipe/grade. There is therefore a need for techniques to be developed which will enable MSPC to be extended to handle multi-product production. Intrinsically linked to this issue is that of limited batch production and how MSPC monitoring schemes can be developed from only a few batches. The Foresight Centre has access to a number of companies that will provide appropriate data for the study. In particular Pfizer have committed to providing data, running tests and acting as the industrial supervisor.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.ncl.ac.uk |