Machine Engine
Manufacturing
Deeper manufacturing analysis to optimize process planning and maintenance to streamline the production process
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Data Lake

Problem Statement

  • Client’s existing data platform (SAP HANA) cannot ingest new types of data i.e. unstructured data – social media, IoT, streaming data, etc., making it difficult to scale.

  • Require experienced engineers to control the Kiln Rotary machine, and rely solely on human knowledge and know-how.

Our Solutions

  • Develop a centralised Data Lake platform to reduce time consuming manual data gathering working tasks and increase data analytics capabilities

  • Develop a machine learning model that can predict 1 hour before breakdown resulting in huge cost savings

Business Values

  • Centralized, streamlined, and ingest real-time sensor data from manufacturing plants allows other operating entities to perform data science and other analytics use cases in the future

  • On-site engineers know early before the machine breakdown, so they can plan the maintenance process beforehand and support cost savings in the future

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Process Mining

Optimize manufacturing costs by tracking all processes and identifying bottlenecks

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Predictive Maintenance

Predict manufacturing process breakdowns early so engineers can plan maintenance beforehand

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Production Optimization

Improve production planning efficiency and flexibility by using automated optimization algorithms

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Performance Monitoring

Collect and personalize data in one platform to monitor business performance and support management decisions

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