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Datanomix’s Delivery Track solution is designed to eliminate the lack of visibility into on-time delivery (OTD) and the projected completion time of jobs. 

Delivery Track is a user-friendly set of dashboards that provides process visibility, enabling manufacturers to intervene if necessary to keep jobs on target. 

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There are three methods of predicting delivery that align with customer requirements:

• Delivery by Job: Ideal for shops that run multi-day jobs, this mode enables users to set target completion dates and part counts for each job
• Delivery by Uptime: Well suited for highly automated shops, this method focuses on the total weekly uptime for a designated machine or machine group
• Delivery by Part Count: Designed for cell-based operations, this approach sets targets based on the total part count produced by groups of machines.

Each method features adjustable goal-setting, color-coded results and graphical views to make it easy to pinpoint problems. Users can simply click on data to drill down for root cause analysis.

Key features of Delivery Track include the ability to set targets by job completion dates, uptime hours or part counts; track progress in real-time with visual alerts for at-risk jobs; and drill down into daily or shift performance for in-depth analysis. Delivery Track helps manufacturers reduce delays, improve on-time delivery rates and meet customer expectations. 

“Our customers expressed frustration over not being able to give their clients precise delivery dates. They asked for a solution, and Delivery Track is our answer,” says Greg McHale, founder and CEO of Datanomix. “With the click of a button, it offers a continuously updated forecast for job completion based on real-time production data.”