Adopt digital tools to optimize process design

Overview

Infosys Chemical Manufacturing creates a digital ecosystem to augment the process engineering value chain. We collaborate with basic, specialty and fine chemicals manufacturers; agriculture and bio-engineered chemicals producers, and fertilizer plants to enhance the accuracy of process design of greenfield projects, and improve the performance as well as reliability of existing units.

Our team creates a digital twin of assets, processes and systems to evaluate basic functionality of an industrial facility based on the interconnectedness of technical, economic and environmental parameters. This helps manufacturers focus on design concepts that ensure functional adequacy across chemical, electrical, control and instrumentation, civil engineering, and other disciplines. It also ensures financial feasibility and regulatory compliance, while mitigating operational risks. Digital tools for preliminary design review and detailed engineering address requirements in the formative stage, thereby eliminating errors in system concepts and minimizing design changes, reconstruction work and retrofitting.

Infosys Chemical Manufacturing adopts open source frameworks, Mixed Reality (MR) tools, and collaboration platforms. It enables stakeholders to review Building Information Modeling (BIM) output and simulations at scale and at run time for diverse elements, from remote locations. Collaborative design review and the MR experience accelerate decision making.

Our team combines advanced technologies such as Artificial Intelligence (AI), Machine Learning (ML) and data analytics to enhance plant design. Digital tools help engineers evaluate diverse process parameters including feedstock variability, polymeric characteristics, availability of critical utilities such as water, and risk scenarios. Further, AI / ML-driven analysis guides procurement specifications for static and rotating equipment, and optimizes routing of process piping as well as electrical and plumbing systems.