Optimizing Manufacturing Processes-Chemical Manufacturing Company
Client Overview
A multinational chemical manufacturing company managing complex manufacturing operations across multiple production facilities was looking to increase its operating efficiency.
Business Challenge
The company needed to streamline their chemical production processes, which were prone to delays due to equipment malfunctions, suboptimal process scheduling, and variability in raw material quality. These issues resulted in longer production times and increased operational costs.
Solution Impact
Accurate demand and price predictions using cutting-edge AI/ML models
Optimized Production Speed by 20%
Improved Bill of Materials (BOM) ratios and standardized Units of Measure (UOM)
Integration of internal and external data sources for enhanced forecasting
Seamless alignment with supply chain and production constraints
Our Approach
QIPP implemented an AI-powered solution comprising advanced machine learning models for precise demand sensing, price forecasting, and order optimization. The solution also included inventory modeling, proactive alerting, and user-friendly visualization tools.
20% increase in speed
Production speed increased by 20% across multiple plants
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Genesis AI drives innovation in manufacturing with AI and machine learning, optimizing processes and boosting productivity across industries like chemical, petrochemical, and automotive.
