STARTER ANALYTICS

Get Off Pen & Paper & Excel

SensrTrx Manufacturing Analytics provides contextualized manual data collection, calculates meaningful manufacturing KPIs and displays it in actionable dashboards that everyone inside your organization can use to impact things like machine downtime starting from day 1!

Understand Machine Downtime

Downtime and machine availability are extremely important in manufacturing. If a machine is not running it is not making money for the company. SensrTrx helps you understand how long a machine was down and why it was down.

Get Plant-wide Visibility

SensrTrx Scoreboards (shown) provide real-time visibility by machine and cell.

SensrTrx Starter puts your production data in the hands of your employees. Operator screens show detail by machine and provide manual input on downtime and scrap, scoreboards provide real-time updates to performance and downtime, while dashboards give managers unprecedented visibility on the line.

  • Operator User-Interface
  • Scoreboards for Plant-wide Visbility
  • Dashboards for Managers and Executives
  • Alerts and End of-Shift Reporting

Analyze Historical Trends Data

SensrTrx stores over 5 years of production data which can be viewed to provide historical context and trend analysis. Dashboards configured with Pareto graphs, exported to pivot tables, and customized by role.

See data by:
– Facility
– Department
– Cell
– Production Shift
– Team
– Production Day

Display & Share Actionable Information

Put displays above a department, work cell, or machine. Give operators visibility into each machine they are responsible for and help them see trends in real-time.

Get the right data to the right people at the right time. SensrTrx dashboards can display aggregated data across the entire company down to individual events coming from a single sensor on a machine. This allow manufacturers to make adjustments before costly events ever happen.

SensrTrx provides information on downtime events, slowdowns, machine stops & scrap. Always keeping your data in context of the production shift.

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