Manufacturing Root Cause Analysis
Traditional, correlational, machine learning approaches often fail to improve manufacturing processes
We have brought to market the first operating system for decision making powered by Causal AI, decisionOS, to empower enterprises to optimise their manufacturing processes
Traditional machine learning approaches often fail
to discover root causes of anomalies or inefficiencies as well as recommend the next best action (intervention) to prevent those from happening
Spurious correlations lead to bad decisions
And are often perceived as “black boxes”
Read more on our blog:
Explainable AI doesn’t explain enough
E.g they can predict if a machine will break but they struggle to explain why and what the next best action is to prevent future issues
Do these questions sound familiar?
Enterprises run on causal questions
What are the root causes of manufacturing process inefficiencies or defects?
What are the best actions (interventions) to mitigate inefficiencies and/or defects?
What actions can I take to maximize my Overall Equipment Effectiveness?
See the solution in practice
Interactive ExampleLicense our platform to answer these questions using Causal AI
Discover cause-effect relationships within your Manufacturing data
Discover cause-effect relationships in your production line data by combining the best of domain knowledge with data-driven, statistical, approaches
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Build Causal Models
Discover causal models, based on cause-effect relationships and causal graphs, that can robustly predict anomalies, figure out the root cause & recommend next best actions to mitigate those
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Make better decisions with Decision Intelligence Engines
Leverage our pre-built engines on top of your causal models to:
Understand root causes
Automatically rank the potential root causes of defects, inefficiencies or process errors
Design next best actions
Prevent defects, inefficiencies or process errors ahead of time
Perform powerful what-if analyses and estimate counterfactual scenarios
E.g understand the probability of defects if you increase electricity levels
Build Decision Apps
Leverage Dara, our app building framework, to seamlessly deliver beautiful, interactive decision making applications to the engineering & executive teams
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Monitor and optimize manufacturing decisions with decisionOps
Build, deploy & monitor your decision workflows to maximize Overall Equipment Effectiveness
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Related Case Studies
Customer Case Study: Early Fault Detection
$50bn Global Electronics Company chooses causaLens to revolutionize its early warning system for faulty parts with Causal AI
Customer Case Study: Manufacturing Downtime Reduction
$10bn Metals Enterprise sees an expected return of $4M from maximal throughput while reducing downtime
Customer Case Study: Scrap Parts Reduction
A global manufacturer sees 10x ROI from enhancing their manufacturing processes by comprehending the underlying reasons behind failures in their production lines
Causal AI at Bosch
Watch the talk from the Causal AI Conference 2023
Proven value in weeks
Request your free trial now, and we’ll get you started on your Causal AI journey. Within weeks, you can answer your company’s critical business questions and drive improvement in your KPIs.
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1Discovery Call
Understand your needs.
1 hour. -
2Platform Trial
Test drive decisionOS.
14 days. -
3Build, Deploy, Scale
Answer business-critical questions. Within weeks.
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4Ongoing Support
World-class support from leading experts. Ongoing.