# Context
Reducing downtime in manufacturing is critical for organizations as it can lead to lost production, increased costs, and reduced competitiveness. To minimize downtime, manufacturers need to implement strategies that focus on preventive maintenance, rapid response to equipment failures, and process optimization.

Batch processes have a unique challenge when it comes to equipment failure, as the risk of failure is highly influenced by the specific batch parameters used (such as temperature levels and flow rate).


# Value
This solution provides tools to help optimize processes, reduce failure risk, and improve productivity through:
- A deep dive analysis of sensor values based on batch attributes and outcomes
- A predictive model that uses sensor data to estimate the risk of failure and identify anomalies in equipment.


