Resources Listing AI

Use Cases

Identification, Categorization, & Reporting of Performance Losses AI

Manufacturing companies must systematically track, categorize, and report performance losses to identify inefficiencies and justify improvement projects. This process enables the identification of underperforming elements within the production line and provides a basis for targeted enhancements. By doing so, companies can streamline operations, enhance productivity, and allocate resources more eff...

Use Cases

Accelerate Biopharmaceutical Scale-Up AI

Accelerating the scale-up of biopharmaceutical production is essential for bringing new therapies to market more quickly and cost-effectively. Predicting cell growth accurately at scale, based on data from laboratory and pilot studies, is a complex task. This complexity is compounded by the need to integrate data from various sources. Streamlining this scale-up process can significantly reduce dev...

Use Cases

Heat Exchangers Performance Monitoring AI

Predicting the end-of-cycle (EOC) for a heat exchanger due to fouling is a persistent challenge for refineries. By proactively forecasting when a heat exchanger requires cleaning, refineries can implement risk-based maintenance planning, optimizing processing rates, and reducing operating and maintenance costs. Historically, engineers had to manually combine data entries in spreadsheets, spending ...

Use Cases

Performance Optimization in Process Compressors AI

Unplanned downtimes lead to reactive and time-based maintenance which can be costly and inefficient. Difficult to quantify metrics that correlate with the overall performance and health of the compressor

Use Cases

Continuous Drug Product Quality by Design (QbD) Model AI

The Continuous Drug Product Quality by Design (QbD) model aims to ensure consistent product quality from development through to commercial production. One significant hurdle in this process is maintaining information integrity during the technical transfer from R&D to production. Additionally, implementing effective process monitoring within a multivariate design space presents complexities. D...

Use Cases

Pump Health Monitoring AI

Inability to detect and anticipate pump performance issues can result in prolonged shutdowns, revenue loss, and potential environmental or safety hazards.

Use Cases

Distillation Column Efficiency

The Golden Batch in distillery manufacturing represents the ideal production outcome, aligning critical parameters like fermentation, distillation, and maturation to ensure top-quality, consistent spirits. It serves as a benchmark for optimal flavor, alcohol yield, and process efficiency. Modern tools like advanced process control, real-time analytics, and machine learning help distilleries monito...

Use Cases

Our Case Studies

Pipeline materials exhibit nonlinear behavior under high pressure, including plastic deformation which may leads to catastrophic ruptures. Therefore, this compells to evaluate the bursting pressure of pipeline to ensure the safe operations. Tridiagonal experts do this analysis using non-linear FEA. In that non-linear material model with Multilinear strain hardening was assigned to the pipe materia...

Use Cases

Performance Optimization in Process Compressors

Unplanned downtimes lead to reactive and time-based maintenance which can be costly and inefficient. Difficult to quantify metrics that correlate with the overall performance and health of the compressor