PSE: APM Forum 2018 Focus on Digitalisation for the Process Industries

20-Apr-2018 Intellasia | BusinessWire | 10:13 PM Print This Post

Key role of deep process knowledge in digital design and digital

LONDON–(BUSINESS WIRE)–#APMF–At the 2018 Advanced Process Modelling (APM) Forum this week, process
industry organisations presented on digital design and operations
applications ranging from accelerating development of the next
generation of pharmaceuticals to realising millions of dollars per year
in increased profit for large process plants.

Introducing the conference, Prof. Costas Pantelides, MD of conference
host Process Systems Enterprise (PSE), described the current wave of
digitalisation as the culmination of many years of advanced modelling
and IT development. “This is a time of extraordinary opportunities for
the process industries” he said.

Keynote speaker Mathias Oppelt of Siemens described how high-fidelity
process models containing deep process knowledge bring a new level of
power to digitalisation initiatives being delivered by automation
companies. Siemens later demonstrated digital twin technology for an
ethylene plant, implemented using PSE’s gPROMS Olefins software. SABIC
showed how new online technologies improved yield by 2% at a large
petrochemicals plant, representing tens of millions of dollars per year,
and BASF described how digital technologies that combine data and models
are enabling an enhanced innovation approach with strong focus on
customers and markets.

Keynote speaker Suracha Udomsak, R&D director at SCG Chemicals, said
“APM is a key element of our Digital Manufacturing platform. It
accelerates innovation by making the development workflow faster,
cheaper and safer”.

On the Formulated Products side, keynote speaker Ben Weinstein of
Procter & Gamble described how a strategic decision many years ago to
back a digital design approach has accelerated innovation across P&G.

Pharma keynote Neil Hodnett of GSK showed how system modelling is
applied to accelerate development and transfer of robust manufacturing
processes, particularly in the move to continuous processing, through
the use of virtual DoEs for in-silico QbD.

Roche, Pfizer, Ferring, Novartis, Sandoz, UCB, Syngenta, Danone and
FrieslandCampina described benefits of applying advanced mechanistic
modelling to improve drug product manufacture, increase R&D efficiency
and reduce risk in scale-up and tech transfer.

Pantelides adds “a common theme is that it is now possible to easily
capture deep process knowledge in the form of predictive models, then
use these within a digitalisation framework to generate value at every


Process Systems Enterprise
Kate Burness
[email protected]


Category: BusinessWire, PRAsia

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