Digital Visual Controls
Digital Visual Controls enhance operational visibility, improve responsiveness, and drive continuous improvement through real-time data visualization and analytics. This approach supports smarter decision-making, operational excellence, and digital transformation. For more information on implementing Digital Visual Controls in your operations, contact us at VDI. Automation of Settings Notification of Variances from SOP Pick and Place Welding Feedback When to Change Tooling When to Inspect Parts When to Perform Maintenance SPC Data Capture Track Counts Since Last PM Activity Tool Change Subtopic Optimize Schedule Run Until "Almost" Failure Run Until Performance Change Optimize Constant Duration Notifications Automated Tracking Automated Messaging / Alerts Potential to "Lock Out" Until Completed Work Instructions Show operator a list of work instructions for today's autonomous maintenance tasks Provide work instructions for maintenance workers
What Is It?
Digital Visual Controls leverage real-time data visualization and digital dashboards to provide actionable insights into manufacturing processes. These controls replace traditional static boards with dynamic displays that adapt to changing operational conditions. By integrating IoT-enabled sensors, MES platforms, and analytics tools, manufacturers can deliver critical information such as production status, quality metrics, and equipment performance to operators, supervisors, and managers. Digital Visual Controls enable instant visibility into shop floor activities, supporting better decision-making, faster response times, and continuous improvement.
Why Is It Important?
Digital Visual Controls are critical for improving transparency, decision-making, and responsiveness on the shop floor. Key benefits include: Real-Time Visibility: Provides up-to-the-minute insights into production and equipment performance. Improved Responsiveness: Enables immediate action by alerting operators and supervisors to issues. Enhanced Productivity: Streamlines workflows and reduces downtime by identifying bottlenecks or inefficiencies. Continuous Improvement: Drives performance optimization by highlighting trends and metrics over time. Operational Alignment: Ensures all stakeholders are working towards shared goals with consistent data.
Who Is Involved?
Suppliers
- •IoT-enabled sensors and devices providing real-time data on equipment, production, and inventory.
- •MES platforms tracking operational workflows, productivity, and quality metrics.
- •Analytics tools processing data for visual display on dashboards or digital boards.
Process
- •Data is collected from IoT devices, MES systems, and other sources in real time.
- •Analytics platforms process the data and present it on visual controls such as digital boards or dashboards.
- •Operators and supervisors use the displayed data to monitor performance, identify issues, and make informed decisions.
Customers
- •Operators monitor task performance and receive alerts for deviations or abnormalities.
- •Supervisors track team productivity, equipment status, and quality metrics to ensure smooth operations.
- •Maintenance teams use insights from visual controls to schedule preventive or corrective actions.
Other Stakeholders
- •Quality assurance teams use visual controls to monitor defect rates and compliance metrics.
- •Leadership teams monitor key performance indicators (KPIs) to align with corporate goals and strategies.
- •Financial teams assess cost savings through operational efficiency and reduced downtime.