Addressing the Challenges of Process Automation & Predictive Optimization
Process and manufacturing industries face many challenges, regardless of the product being built. From every day consumer goods to drugs and medical devices, manufacturers continue to look for ways to automate end-to-end supply chain processes, improve operational efficiencies and increase profit margins through:
- Optimal system design
- Operating parameter optimization and predictive alerts
- Equipment survival analysis
- Equipment performance prediction
- Equipment and process optimization
- Cost reduction for maintenance and computing
Cognika Solution
Cognika’s smart analytics solutions are well-suited for many areas of industrial manufacturing, including:
- Chemicals and Petrochemical Processing
- Oil and Gas
- Pharmaceutical and Biotech Manufacturing
- Food & Beverage
The oil and gas industry is a good example of an extremely challenging, costly and speculative industrial application. While continuing to explore for new sources of producible oil, today’s oil companies seek ways to protect profit margins by squeezing more out of existing reserves and improving operational efficiencies. Key to this effort is the ability to:
- Optimize system design for minimizing failures and maximizing throughput
- Real time operations optimization
- Predictive maintenance
- Equipment replacement/refurbishment planning
- Reducing maintenance and computing costs
Cognika ESP brings rapid feedback and prediction capabilities to the oil industry, yielding improved performance in well production management, drilling optimization, exploration data analysis and system design.
Similarly, drug manufacturing is an area where process automation and predictive analysis can dramatically improve product quality and consistency. In particular, Cognika ESP can be used by bio-pharmaceutical companies to optimize their manufacturing process controls and systems.