Success Case | Data-Driven Optimization Drives €300,000 Annual Savings in Sustainable Manufacturing
Cepsa is a consolidated multinational company in the sector, with years of experience and a team of more than 11,000 professionals across the five continents in which it operates, integrating all phases of the energy value chain.
Cepsa aspires to become a benchmark for sustainable mobility, biofuels and green hydrogen in Spain and Portugal, as well as a key company in the Energy Transition, putting customers at the center of its activity and helping them in their efforts towards decarbonization.
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The Challenge
Cepsa’s Shanghai plant aimed to optimize final product manufacturing using data, without hurting peak production. Since chemical processes are complex and critical, changes needed careful analysis for efficiency gains without sacrificing output. The client sought a solution to boost efficiency and reduce resource use while maintaining or improving production.
The Solution
Keepler deployed a data-driven solution leveraging comprehensive analysis and a collaborative approach:
- Comprehensive Analysis: Keepler performed a deep dive into various process variables (temperature, pressure, etc.) to identify optimal performance conditions.
- Data-Driven Optimization Model: Flexible model that guided adjustments for peak efficiency based on real-time data and operational feedback.
- Collaborative Approach: Keepler worked closely with the client’s team to ensure the model aligned with their existing processes and goals for seamless implementation.
The Result
Keepler is a full-stack analytics services company specialized in the design, construction, deployment and operation of advanced public cloud analytics custom-made solutions. We bring to the market the Data Product concept, which is a fully automated, public cloud services-based, tailored software that adds advanced analytics, data engineering, massive data processing, and monitoring features. In addition, we help our customers transition to using public cloud services securely and improve data governance to make the organization more data-centric.
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