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

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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

Correlation, not causation

Spurious correlations lead to bad decisions

They struggle to answer why

And are often perceived as “black boxes”

Prediction, not next best action

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

Manufacturing Root Cause Analysis

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

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License 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

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

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

Learn more

Monitor and optimize manufacturing decisions with decisionOps

Build, deploy & monitor your decision workflows to maximize Overall Equipment Effectiveness

Learn more

Related Case Studies

Causal AI at Bosch

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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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Discovery Call
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Platform Trial
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Manufacturing Root Cause Analysis

Traditional machine learning approaches often fail

Do these questions sound familiar?

See the solution in practice

License our platform to answer these questions using Causal AI