SUPPLY CHAIN
“Our industrial data foundations can be used to contextualise realtime data to draw meaningful trends from historical operations , minimising waste ”
NAHITA KHANLARI , PH . D . INDUSTRY MARKETING DIRECTOR – CHEMICALS , ASPENTECH
that helps the bottom line , too . Said Khanlari : “ AspenTech delivers a wide range of digital solutions to help accelerate circular economy adoption . Our digital twins , for example , can be leveraged to model new processes for waste recovery and optimise energy use .
“ Predictive and prescriptive maintenance tools help drive up asset utilisation and minimise waste by predicting asset failure , which leads to lost revenue and generates interim waste .
“ Our machine-learning-enhanced engineering models ( i . e . hybrid models )
are extensively used to revisit processes with unknown operational variables ( e . g . kinetic constants ) to reduce by-products ’ generation or optimise heat recovery .
“ Our industrial data foundations can be used to contextualise real-time data to draw meaningful trends from historical operations , minimising waste . They can , for example , help to attain better visibility
sustainabilitymag . com 137