Revolutionizing Production
Building an iterative software for Optimizing Living Organism Growth Recipies
Context & Objectives
The project aims at building the web-app for the monitoring and optimisation of a living organism growth production process
The project is particularly ambitious since the production process has a one-century intuitive human optimisation history
Outcome
Strong facilitation of the monitoring of the production process.
10% of reduction costs for the faulty production unit along with improved output quality.
Integration of two highly profitable production process adjustments.
Our approach
Step 1 – Use case framing
- Understanding of the industrial process, and definition of the metrics that will be targeted for optimisation
- Refinement of the end-user needs and definition of the web-app use cases and mock-ups
- Mapping of the key production parameters to be closely monitored and identification of the advanced ML methods to be implemented
Step 2 – Advanced method development
- Conception of a digital twin requiring the monitoring of more than 100 dynamic and static parameters
- Development of a customised ML method to identify and optimise the production process and enabling daily assessment of the production performance
Step 3 - Recommendation integration
- Replacement of faulty sensors that were identified thanks to the monitoring features
- Testing of the most promising production process enhancements such as input timing and quantity adjustments
- Quantitative validation of the enhancements for definitive integration
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