CONFERENCE
 
                CONTROL OF INDUSTRIAL PROCESSES:
     SYNTHESISING THE STATISTICAL AND ENGINEERING APPROACHES

                  19 - 20 SEPTEMBER 1995
                UNIVERSITY OF HERTFORDSHIRE


                      CALL FOR PAPERS


Historically there have been two distinct approaches to the control of 
industrial processes: that of the statistician and that of the engineer. 
Statistical Process Control techniques were developed by statisticians 
for use in the parts industry while Automatic Process Control techniques 
were developed by engineers for use in process industries. The sharp 
lines dividing these industries have recently begun to dissolve bringing 
control engineers and statisticians into closer contact with each other. 
This conference aims to provide control engineers and statisticians with 
an opportunity to exchange ideas about integrating the two approaches to 
Process Control.

The conference ( originally suggested by the Quality Improvement 
committee of the Business and Industry section of the Royal Statistical 
Society ) is being organised jointly by the University of Hertfordshire 
Business School, the City University School of Mathematics, Actuarial 
Science and Statistics, and the University of Newcastle Department of 
Engineering Mathematics.

There will be four half day sessions entitled: Overview; Process 
modelling; Process control; Forward with new thinking. Each session will 
be introduced with a keynote talk and will be followed by a number of 
shorter invited and contributed case studies. Peter Caines (McGill 
University) and Julian Morris (Newcastle University) have agreed to 
introduce the Overview and Forward with new thinking sessions. The title 
of Professor Morris' talk is "Modelling human intelligence to solve 
engineering problems". Invited speakers include: Tom Fearn (University 
College London) on "A case study on experimentation in the food 
industry", Luc Pronzato (University of Nice), Ron Leigh (University of 
Westminster) on "Adaptive control of multivariate batch processes using 
digital models" , Ming Tham (Newcastle University) on "A practical 
application of adaptive control", and Mike Grimble (University of Strathclyde)
"Advanced control and simulation techniques for the manufacturing and process
industries"

Titles and abstracts for contributed papers should be sent, as soon as 
possible, to:

   The Control of Industrial Processes Conference Secretary
   The Business School Development Unit
   Second Floor
   Business Link
   45 Grosvenor Road
   St Albans
   Hertfordshire
   AL1 3AW

   ( phone: +44 (0)1727 813611 )        
   ( fax: +44 (0)1707 284649   )