Chemical Industry

I don't know of any other software that can positively impact every important business driver - environmental, safety, quality, and ROI.
Dwight Stoffel, Arkema

Overview

The OSIsoft PI System is a critical foundation for successful implementation of chemical industry production applications. The PI System is a flexible, powerful and continually growing family of applications and tools that gather, manipulate and make operational information readily available to everyone who needs it—in the proper context for each user and presented in an instantly understandable visual form.

PI System Solutions

The PI System is already being widely implemented in all sectors of the chemicals industry, including commodity and specialty chemicals, organic and inorganic products, and continuous and batch operations. Highly complex, global manufacturing processes with disparate information systems often present challenges for the chemical industry. The PI System offers a vital real-time infrastructure for today's operational performance initiatives and resultant programs, including:

• Asset Management
• Batch & Event Management
• Cybersecurity between Business Systems and the Process Control Network
• Knowledge Management
• Operational Visibility
• Manufacturing Execution Systems (MES)
• Performance Improvement
• Plant Floor Enterprise Integration
• Portals & Web-based Standards
• Product Quality Management
• Situation Awareness
• Six Sigma

Benefits

The PI System assists chemical companies in making more calculated decisions by placing real-time information in the hands of decision makers. Examples of how chemical customers benefit from using the PI System include:

Reducing Cycle Time

• Capitalize on Improvements Across Units and Sites (Return, Productivity and Profit)
• Improve Utilization of Existing Assets (Find “Hidden” Capacity)
• Condition and Calendar-Based Maintenance (Pre-Empt Unscheduled Downtime and Reduce Costs)
• Improve Product Changeover (Minimize “Out of Spec” Transition)

Accelerating Product Innovation

• Meet More Demanding Product Specifications (Manage Recipes & Performance)
• Conduct More Trails that Are Successful (Align Product Requirements to Asset Capabilities)
• Scale up Rapidly and Confidently (Share Data From Trial to Full Production)
• Reduce Product Trial Expenses (Leverage Remote Expertise)
• Optimize Use of Asset Base (Include JVs, Acquisitions, & Toll Processing)

Increasing Product Yield & Profit Margin

• Improve Conversion and Recovery (Track Consumption of Costly Key Raw Materials)
• Identify Bottlenecks and Improve Efficiency (Perform Root-Cause Analyses)
• Integrate Performance (Include Joint-Venture Assets into Execution Plans)
• Improved Information for Supply Contracts (Data on Consumption and Conformance)

Tightening Quality Control & Variability

• Understand & Resolve Product Quality Complaints (Easily Classify Common-Cause Performance Issues)
• Identify and Trap (Bad) Product In-Process (Ship Product Based on Parametric Assurance)
• Analyze Process Performance (“Spec vs. Actual” and “Made-as vs. Sold-as”)
• Reduce Variability and Cost (Improve Process Capability)
• Increase Production Scheduling Flexibility (Reduced Rework and Off-spec Blending)

Improving Regulatory Compliance

• Tighten Operational Controls (Drive Processes Closer to Limits Without Excursions)
• Generate Compliance Reports (Automatically with Accurate, Reconciled Data)
• Avoid Escalation of Near-Miss Incidents (Make Better More-Timely Decisions)
• Reduce Environmental Burden (Better Manage Energy, Water, and Waste)