--- title: "Tool Management Track" date: 2025-04-02 12:05:10 description: "Monitor tool life, wear, and usage trends to reduce tool cost, increase tool life, and continuously improve operations with Tool Management." keywords: "Tool Management" --- # Tool Management Track ## Real-Time Monitoring of Tool Life, Wear, and Usage Trends. With the **Tool Management Track**, you get real-time visibility into tool performance, predictive maintenance alerts, and data-driven recommendations to reduce costs, prevent unexpected downtime, and keep production running at peak efficiency. [Request a Demo](#demo) ## Maximize Life & Minimize Costs Tooling is a huge expense, and identifying savings significantly impacts your COGS (in a great way!). Datanomix integrates with your controller to track tool usage, identify upcoming changes, and expose hidden inefficiencies like unplanned downtime, rework, and scrap. Our customer data shows massive improvement opportunities in tooling, translating into significant savings. Datanomix Production Monitoring Tool Management Track ## Unmatched Capabilities & Benefits - **Tool Usage **Visualize tool usage over time by part or machine or for tools operated across multiple machines to understand when, where, and how long each tool is utilized. - **Tool Life **Datanomix uses your target tool lives and the average tool lives before a tool change to assess your tool efficiency. - **Upcoming Tool Changes** Simple TV views show Operators what tools need to be changed next, where, and when! - **Tool Cost Per Unit** Enter your tool cost, and Datanomix will assess the cost implications and potential savings from improved tool management. - **Capability Study** Shops with highly automated cells can enhance part performance by understanding which tool-cutting sequences operate the fastest and most consistently. - **Advanced Tooling Analytics** Turnkey integrations with Caron Engineering’s TMAC® and ToolConnect® and with Vallen to deliver AI-powered tooling cost and process control.** ** TOOL MANAGEMENT TRACK – TOOL USAGE BY PART TOOL USAGE BY PART TOOL LIFE TOOL CHANGE LOG COST PER UNIT By quantifying the amount and cost of tooling consumed and comparing that to your uptime hours, we can formulate a cost per uptime hour of tooling! Datanomix can show you monthly, quarterly, or yearly tooling spending, individually or in aggregate. CAPABILITY STUDY ## Tool Usage ▼ See tool usage by part number, machine, or individual tool consumption. Analyze how long each tool spends in cycle to reconcile your cutting times, both in aggregate and per tool. Upcoming tool changes can be broadcasted through Datanomix TV Mode so your operators know what tools must be changed next, where, and when.  TOOL USAGE BY PART ## Tool Life ▼ Datanomix visualizes the tool change log for a given job and understands patterns with respect to the number of lives that you can get out of your tools. We know if a tool is being changed too early, and the efficiency of a tool compared against previous job runs. TOOL LIFE TOOL CHANGE LOG ## Cost Per Unit ▼ Input your cost per tool, and Datanomix leverages your target tool lives and the average lives used before a tool change to determine tool efficiency. See total tooling costs over a period of time, identify when tools were changed too early, and pinpoint opportunities to reduce overall tooling costs. COST PER UNIT By quantifying the amount and cost of tooling consumed and comparing that to your uptime hours, we can formulate a cost per uptime hour of tooling! Datanomix can show you monthly, quarterly, or yearly tooling spending, individually or in aggregate. ## Capability Study ▼ Shops with heavily automated cells can optimize part performance by understanding which tool-cutting sequences perform the fastest and most consistently. Once a new part is engineered and you have proven the process by consistently making good parts, the focus can shift to performance improvements around speed and tool-cutting CPK. CAPABILITY STUDY ## Operationalize Tool Management Every day, the team can use the Tool Management Track to gain visibility into tooling efficiency and improve overall operations. When you understand tooling performance, tooling inventory, and where to cut tooling costs, you’ll continuously improve operations. ## Engineering ### Tool Life & Cost Drivers ▼ Engineers can identify tools that are not achieving their intended tool life and recognize the biggest cost drivers, ultimately optimizing processes to improve performance and reduce costs. ## Estimators ### Tool Spend & Margin Improvements ▼ Estimators who don’t know the typical tooling spend per part may be eating into margins. Ensure quoted rates cover current tooling costs, and change hourly rates to compensate if needed. ## Tool Room ### Tool Assembly & Inventory Management ▼ Low inventory won’t slow down production when you know what tools will be changed next and where. Proactively assemble, preset, and deliver tooling or alert procurement of low stock. ## Operators ### Tool Usage & Changes ▼ Through the Machine Heads Up Display, operators can see their next three tool changes and the remaining time, log tool life issues, or request support when needed. ## Extend It with our Caron Engineering Integration Our turnkey integration with Caron Engineering’s TMAC® and ToolConnect® pulls real-time sensor data from Caron Engineering’s solutions and combines it with real-time analysis from Datanomix to slash inspection time, cutting time, and tooling costs. [LEARN MORE](https://datanomix.io/tmac-ai/) ## Incorporate ToolAnalytix: AI-Powered Tooling Cost & Process Control Datanomix and Vallen have teamed up to deliver a groundbreaking solution that gives manufacturers visibility into tool usage and costs for the first time. [ToolAnalytix](https://datanomix.io/tooling-cpu-analytics/) collects tool usage data via the Tool Management Track, along with cost data from Vallen, to automatically calculate your cost per unit (CPU). It suggests tools, methods, and vendors to help reduce costs. **TOOLING INSIGHTS** Which Parts Need Re-Engineering? **TOOLING INSIGHTS** Which Part Numbers are Missing their Target CPU? [LEARN MORE](https://datanomix.io/tooling-cpu-analytics/)