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Process

Overview​

Manufacturing is transitioning to a highly automated process. In the near future, our facilities will be able to “run dark” meaning there will be no people interacting with the automation in large areas of the plants. As we introduce this automation, we lose the line of sight from people interacting with production. This means we need to have the automation itself monitor and report anomalies to predict maintenance, quality, and throughput opportunities. This could be a weld controller identifying suspect welds, or a dispense unit alerting for low/high dispense on a part. We have even introduced current and vibration monitoring as a key indicator of impending failure. We can have over 300 robots spread across a square kilometer in the body shop alone – the volume of data to be collected, processed, and analyzed can exceed 5 million motions per plant per shift.

Data.gm.com defines and captures data related to manufacturing process planning and execution across multiple levels including plant, shop, line, and station. This includes detailed information on process configurations, execution parameters, and resulting outcomes at each stage of production.

Key Benefits​

Provides data for manufacturing process planning and execution across plant, shop, line, and station levels, capturing configurations, execution parameters, and outcomes at each stage. Downtime in our manufacturing plants multiplies quickly, especially with our highly profitable products. Predictive maintenance moves catastrophic downtimes from chaotic unplanned events that stop production, to organized, planned interventions during non-production window (lunch, weekend). With predictive maintenance, our skilled trades can stage repairs with required tools and spare parts, which minimizes the impact on our production and improves Manufacturing Build to Plan and reduces Non-Scheduled Overtime.

Getting Access​

All requests to access GM data must be reviewed and approved by GM’s privacy team via the Privacy Impact Assessment (PIA) tool. GM’s PIA tool helps to identify, assess, and mitigate privacy risks associated with a particular product or service—especially when it collects, uses, stores, or shares personal data. If a PIA has not been approved for your use case, you can submit one using the link: epia.gm.com.

How to Get Access to Process Data

AppAD GroupMyAccess RoleSchema
Bauera55187-mids-prod-dbx-bauerA55187 MIDS DBX BAUER - PRODproduct_component_prod.silver_battery_test_gbl
DLAa55187-mids-prod-dbx-dlaA55187 MIDS DBX DLA - PRODComing Soon
GPDSa55187-mids-prod-dbx-gpdsA55187 MIDS DBX GPDS - PRODmanufacturing_prod.bronze_innovation_gpds_182154
GPMC
PTPMC		a55187-mids-prod-dbx-gpmcA55187 MIDS DBX GPMC - PRODmanufacturing_prod.silver_production_monitoring_gbl
manufacturing_prod.gold_production_monitoring_gbl
GTMCa55187-mids-prod-dbx-gtmcA55187 MIDS DBX GTMC - PRODmanufacturing_prod.gold_production_tracking_gbl
SEPa55187-mids-prod-dbx-sepA55187 MIDS DBX SEP - PRODmanufacturing_prod.bronze_innovation_sep_15216
Toolsneta55187-mids-prod-dbx-toolsnetA55187 MIDS DBX TOOLSNET - PRODmanufacturing_prod.bronze_innovation_toolsnet_15198
STMSa55187-mids-prod-tmate-readA15125 STMS DBX TMATE PRODproduct_component_prod.silver_scrap_tracking_gbl
QS-STATa55187-mids-prod-dbx-qsstatA55187 MIDS DBX QSSTAT - PRODproduct_component_prod.silver_battery_gbl

Explore the Data Catalog​

Browse available Process datasets and schemas:

  • FUTURE

  • What are the top predictive maintenance opportunities in my plant?

  • Is this a new opportunity, or is someone already working on it?

  • Is this motion taking longer than the expected baseline?

  • Am I putting too much / too little dispense on my parts in the body shop?

  • Is the current on my conveyor systems increasing? This is an indicator of an impending failure.

  • Does the equipment have excessive vibration? This is an indicator of an impending failure.

  • Are my devicenet alarms increasing? This is an indicator of a controls network issue.

  • This station is running slow - which specific motion in the station is causing the issue?

  • What is the time it takes maintenance to react, repair and recover from downtimes?

  • This test looks suspect - I would like to rebaseline this motion.

  • I need to engage skilled trades - write a Maximo Work order to get a tradesman to work on this issue.

Who's Using this Data?​

Teams using Process Data​

Manufacturing Plant Floor Teams & Plant Engineering.

  • Maintenance Manager

  • Shift Leader

  • Production & Maintenance Group Leaders

  • Production & Maintenance Team Leaders

  • Maintenance Tech Leads

  • Industrial Engineers

  • Controls Engineers

  • Manufacturing Control Rooms for remote observability & support

Reports and Dashboards​

  • Manufacturing has many internal dashboards or reports.

Training & Learning Resources​

Manufacturing Fundamentals Course​

Status: COMING SOON

API Documentation and Tutorials​

Status: COMING SOON

Will include:

  • Getting started guides

  • Code samples and examples

  • Best practices documentation

  • Integration tutorials

Need Help? Connect with us​

Support Channels​

Have an update? Send us your feedback via Slack at: #feedback-data-gm-com​

Last updated: December 5, 2025 Document version: 1.1