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Introduction to Digital Performance Management (DPM)

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Introduction to Digital Performance Management (DPM)

Written by: Tori Firewind, IoT EDC


Digital Performance Management (DPM) is a closed-loop, problem solving solution that helps manufacturers identify, prioritize, and solve their biggest loss challenges, resulting in reduced cost, increased revenue, and improved service levels.

DPM Help Center

What is DPM?

Digital Performance Manager (DPM) is an application which improves factory efficiency across a variety of different areas, namely “the four P’s” of Digital Transformation: products, processes, places, and people. Each performance issue in a factory can be mapped to at least one of these improvement categories in a new strategy for Continuous Improvement (CI) founded by PTC.


imageFigure 1 – Each performance issue in a factory can be mapped to at least one of 4 fundamental improvement categories: products, processes, places, and people. PTC’s new, industry-leading strategy for continuous improvement (CI) in factories is a “best practice” approach, taking the collective knowledge of many customers to form a focused, prescriptive path for success.

11 Closing the Loop Across Products, Processes, People, and Places, Manufacturing Leadership Journal


At PTC, CI in factories is driven by a “best practice”  approach, with years of experience in manufacturing solutions combining with the collective knowledge of the many diverse use cases PTC has encountered, to generate a focused, prescriptive path for improvement in any individual factory.

imageFigure 2 – DPM is a closed loop for continuous improvement, a strategy built around industry standard best practices and years of experience.

 PTC is also defining new industry standards for OEE analysis by using time as a currency within DPM. This standardization technique improves intuitive impact assessment and allows for direct comparison of metrics (see the Help Center for details on how each metric is calculated).


DPM creates a closed loop for CI, from the monitoring phase performed both automatically and through manual operator input, to the prioritization and analyzation phases performed by plant managers. DPM helps plant managers by tracking metrics of factory performance that often go overlooked by other systems. With Analytics, DPM can also do much of the analysis automatically, finding the root causes much more rapidly.

imageFigure 3 – All levels of the company are involved in solving the same problems effectively and efficiently with DPM. Instead of 100 people working on 100 different problems, some of which might not significantly improve OEE anyway, these same 100 people can tackle the top few problems one at a time, knocking out barriers to continuous improvement together.

Production supervisors who manage the entire production line then know which less-than-effective components on the line need help. They can quickly design and redesign solutions for specific production issues. Task management within DPM helps both the production manager and the maintenance engineer to complete the improvement process. Using other PTC tools like Creo and Vuforia make the path to improvement even faster and easier, requiring less expert knowledge from the front-line workers and empowering every level of participation in the digital transformation process to make a direct, measurable impact on physical production.




How Does DPM Work?

imageDPM as an IoT application sits on top of the ThingWorx Foundation server, a platform for IoT development that is extensible and customizable. Manufacturers therefore find they rarely have to rip and replace existing systems and assets to reap the benefits of DPM, which gathers, aggregates, and stores production data (both automatically and through manual input on the Production Dashboard), so that it can be analyzed using time as a currency. DPM also manages the process of implementing improvements (using the Action Tracker) based on the collected data, and provides an easy way to confirm that the improvements make a real difference in the overall OEE (through the Performance Analysis Dashboard). Because the analysis occurs before and after the steps to improve are taken, manufacturers can rest assured that any resources invested on the improvements aren’t done so in vain; DPM is a predictive and prescriptive analysis process.


DPM makes use of an external SQL Server to run queries against collected data and perform aggregation and analysis tasks in the background, on a separate server location than the thing model and ingestion database. This ensures that use cases involving real-time alerts and events, high-capacity ingestion, or others are still possible on the ThingWorx Foundation server.


The IoT EDC is focusing in on DPM alone for a series of  technical briefs which provide insight and expert level recommendations regarding DPM usage and configuration.  Stay tuned into the PTC Community for more updates to come.


It looks like your links in the article are broken.

Thanks, let me have a look!

Hello, thanks for your comment. The links should be working now. The recent Help Center update must have changed the URLs. Let me know if you spot any more issues. Thanks again!

Thank you!

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‎Feb 28, 2022 07:15 PM
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