OVERVIEW
A global dairy manufacturer specializing in milk and high-protein beverage production, operating multiple high-throughput bottling facilities.
THE CHALLENGE
The client faced recurring production inefficiencies and unplanned downtime across critical processing and packaging assets. While large volumes of operational data were available, engineering and maintenance teams lacked a structured and consistent method to:
- Identify and document root causes of equipment and process failures
- Leverage historical data to prevent repeat issues
- Standardize troubleshooting approaches across shifts and sites
- Enable faster, data-driven decision-making during production events
THE SOLUTION
DASH Engineering designed and developed a custom Root Cause Analysis (RCA) application built on the Ignition Perspective platform, tailored specifically for engineering and maintenance workflows. Key components of the solution:
Decision Tree-Based RCA Framework
- Developed an intuitive, guided workflow allowing users to systematically “decision-tree” through issues
- Standardized troubleshooting logic across equipment types and failure modes
- Reduced reliance on individual experience by embedding best practices into the tool
User-Friendly Perspective Interface
- Designed a responsive, role-based UI accessible across desktop and mobile devices
- Simplified data entry and analysis for both technical and non-technical users
- Ensured rapid adoption through intuitive design
Integration with Operational Data
- Connected to existing SCADA and historian systems to provide real-time and historical context
- Enabled users to correlate events with process conditions, alarms, and equipment states
Analytics & Continuous Improvement Enablement
- Captured structured RCA data for reporting and trend analysis
- Provided insights into recurring failure modes and systemic issues
- Supported continuous improvement and reliability initiatives
Historical Issue Tracking & Knowledge Base
- Created a centralized repository of past incidents, root causes, and resolutions
- Enabled pattern recognition and reuse of proven solutions
- Improved cross-shift and cross-site knowledge sharing
THE IMPACT
By combining structured problem-solving methodologies with real-time and historical data, DASH Engineering enabled the client to transition from reactive troubleshooting to proactive, data-driven operations—unlocking greater efficiency, reliability, and operational insight across their manufacturing network.
