AI Cement Formulation
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Business Challenges
The cement industry faces significant challenges in manually determining the optimal combination and amount of additives from a pool of over 43 options to achieve precise strength targets in cement formulations. This labor-intensive process involves extensive trial and error considering factors such as the cement’s existing chemical composition, current strength, desired end strength, cost limitations, and market availability of additives. These challenges result in inefficiencies, increased production times, and higher costs impacting overall productivity and profitability.
- Manual Determination: Reliance on exhaustive trial and error to find the best additive combination.
- Complex Variables: Balancing the cement’s chemical makeup, current strength, and desired end strength.
- Cost Constraints: Managing cost limitations while achieving optimal formulations.
- Additive Availability: Ensuring the availability of necessary additives in the market.
- Resource Intensive: High demand for time and resources in the formulation process.
Our Approach
Our end-to-end solution encompasses the following key aspects:
- Feature Stores Creation: Extracting critical features from the Lakehouse to build feature stores.
- Azure ML-Based Solution: Implementing a scalable, cloud-based CI/CD pipeline using Azure ML.
- Regression Techniques: Utilizing models like XGBoost, Decision Tree, and Multi-Model approaches to predict formulations.
- Optimization Layer: Defining constraints such as cost and availability to optimize formulations.
- Visualization Tools: Developing intuitive dashboards and customizable reporting functionalities for stakeholders to assess KPI impacts.
Key Takeaways
- Significant Reduction in Formulation Time
- Cost Savings through Predictive Analysis
- Optimized Formulations for Cost-Efficiency
- Competitive Advantage through Adaptability
Use Case
Combining advanced regression techniques, cloud-based CI/CD pipelines, and intuitive dashboards, our system revolutionizes cement formulation by automating additive combination optimization. This innovation caters to the cement industry, enhancing productivity, reducing costs, and ensuring consistent quality.
Results
- Automated Optimization: Reduced time and resources needed for cement formulation, streamlining operations, increasing productivity, and meeting production deadlines.
- Precise Predictions: Minimizes costly trial and error, reducing wastage, and ensuring consistent quality in cement production.
- Cost-Effective Formulations: Optimizes formulations to minimize expenses without compromising quality, maximizing profitability, and competitive pricing.
- Enhanced Competitiveness: Enables clients to quickly adapt formulations to changing market demands, maintaining a competitive edge and capturing greater market share.