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AI-Driven Equipment and Process Monitoring for Chemical Industry-Chemical & Pharmaceuticals
Increased competition and demand slumps are putting margin pressures on the chemical industry. Unplanned equipment downtime and process efficiency are typically the leading opportunities for operational improvement. UptimeAI’s artificial intelligence driven solution offers the most comprehensive equipment and process monitoring that maximizes the profitability of chemical companies. Discover how enterprise AI in the chemical industry is revolutionizing operations
Artificial Intelligence Opportunities in the Chemical Industry
Here are some of the main advantages of implementing AI in the chemical industry:
- Excessive Energy & Maintenance Costs
The average site faces challenges with excessive unplanned maintenance, which is three to five times more costly than planned maintenance. Further, energy is central to chemical manufacturing, and neglecting to manage operating costs in the chemical industry can lead to lower margins.
- Costly Accidents
Operational failures cause catastrophic losses, put worker safety at risk, and damage the company’s reputation. Sites with less failure have 20 to 30 percent better safety performance and reduced costs.
- Knowledge Management & Resource Productivity
With 27% of the workforce retiring in the next 3-5 years, incompatible systems, clunky user interfaces, and poor integration, teams have been saddled with antiquated systems and loss of intellectual capital.
As technology advances, the benefits of the use of artificial intelligence in chemical industry increasingly outweigh the challenges of its implementation.
Safe and Reliable Operations
With unique system-level models, UptimeAI offers a practical and cost-effective way to monitor every piece of equipment. Avoid 100s of false alarms and get precise alerts with automated failure mode diagnosis.
Efficiency with Agility
Automatically adapt to changes in operating conditions with unsupervised learning and analyze the impacts of upstream and downstream parameters to maximize yield, throughput, and efficiency.
Enterprise Knowledge Management
Empower teams with AI that continuously learns from user feedback and new data to extract best practices and standardize them across sites. Increase productivity with built-in failure modes and prescriptive actions.
