In today’s volatile environment, refiners must shift operations to adapt to ever-changing product demands – and do it with an increasingly remote workforce. Plant digital twin technology provides operational insights so engineers can predict potential disruptions from anywhere.

As mines face myriad challenges due to COVID-19, risk and scenario analysis are more important than ever.

Find out how Industrial AI solutions are enabling companies to achieve their sustainability goals while also generating a strong return on capital invested.

Digitalization is an imperative in today’s volatile environment where a new generation of younger, inexperienced operators bring increased risk. The process industries, in particular, need new ways to help operators navigate the growing complexity that comes with the job. Innovations in process modeling, 3D visualization and digital twin deployment enable operators to practice their skills digitally in identifying and responding to potential issues, mitigating risk and optimizing performance.

Bangkok Post - The refinery of the future

Chemical manufacturers are increasingly aware of the opportunity to improve cash flow, customer service and topline revenue by optimizing manufacturing schedules.

The Nation - Building Agility, Resilience and Recovery Amidst the Current Economic Uncertainties The chemicals sector has been hit hard by the current global economic interruptions, with rapid drops in demand, difficulty staffing essential production sites and fragility of supply lines.

Chemical Engineering World - Fostering excellence and relevance in evolving ecosystems Process industry companies have a massive volume of information to manage. These companies also have complex assets to operate in a dynamic environment and need to make constant changes, which can add up to significant improvements in profitability. This translates to an improvement in sustainability metrics, lower emissions, improved product quality and so forth.

Industry News - Future-proof your assets with digital twinning Big data is the bedrock of artificial intelligence (AI), which gains momentum via machine intelligence and insights employing streams of business and operational data in a plant. A digital twin can unlock the potential of a massive data mountain in each company. As such, companies need to progress with new, advanced technology – to be strategic and have a roadmap to get ahead.

Bangkok Post - Digital transformation enables sustainability success Sustainability is emerging as a critical business topic, as many companies focus resources toward energy efficiency, pollution control, and value chain optimisation. Sustainability efforts have broad impact across a business, but fundamentally impact four key areas for processing industries: safety, efficiency, economics, and talent. Indeed, the importance of linking sustainability concepts to worker satisfaction cannot be underestimated.