Intelligent Decision Support: Enabling CSM & FSM with Health Monitoring
summary
DATAbility combines physics-based engineering rules with machine learning to predict and explain manufacturing outcomes using hybrid models. A deployed MVP ingests ERP/CAD/CAM and operator knowledge to produce a lead-time estimator for AVcon’s hot-runner parts, splitting NC machine time, setup time and handling. Data-only models explain ~40% of variance, the hybrid system raises actionable explainability and cuts manual estimation effort by about 60%, delivering ROI under a year.
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chapters (6)
- 0:00Start
- 3:59Team up with your machine: We turn your reactivity into predictability.
- 7:04Meet our customer: EWIKON builds hot runner systems.
- 8:25Insight: Characterized by batch size 1, production steps are similar.
- 12:00Modeling: Relevant characteristics were used to estimate lead times. EWIKON
- 17:38Lessons learned: An extended basis had to be created for PoC & MVP.
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