Users can scale integration from very simple to very complex. In this corporate-wide example, GainSeeker is tightly integrated with several existing business systems forming a comprehensive data infrastructure for monitoring performance and driving continuous improvement.
System design considerations
Begin with the end in mind:
- Identify the key stakeholders and system users
- Design the key dashboard images and reports that each user needs to optimize their performance
- What affects the data? Can that be linked to the data using traceability fields?
- What do you want to report on?
- How do you want to see the data at both the corporate and the plant level? Consider the Multi-plant rollup in GainSeeker.
With those components in place:
- Identify the sources of all data
- Map the data transformations required to deliver knowledge for each dashboard.
Typical system design
Key stakeholders include:
- Machine operators
- Quality Inspectors
- Dashboards that prompt timely data entry, with alarms and supporting data
- Data entry screens that capture visual inspection data and automated gage data
- Trend charts on machine performance with automated predictions of when trends become problems
- Color-coded button monitors trends and operator or QA test failure
- Machine-specific dashboards highlighting failures
- Trend lines and schedules for planned maintenance
- Pareto of defect reasons
- Notifications of all pending issues
- Status of resolved issues
- Device History Report summarizing KPIs for each completed work order
All users need:
- Two-factor authentication
- Corporate Use Case Slide Deck [approved for use?]