Energy & Mining

Plant Optimization

Employ smart factories to cut costs and increase the quality of your production.

With increasing pressure within the Oil & Mining industries the market to reduce costs and improve quality, finding efficiencies in plant operations is top of mind for managers. Modern Digital Corporations are turning to their aggregated production data to predict and remediate operational waste, maximizing their profits.

Natural resource production is rich in data but is rarely leveraged to optimize production production. Leveraging sensors and IIOT technologies, you can identify interdependencies within the full view of your data to predict the root-causes of upstream or downstream inefficiencies; enabling corrective measures into production to reduce wasted resources, costs and lessening time to market. By progressively modifying processes, Adastra can help you obtain consistent and efficient operations as well as a real-time view of your performance. Creating an enhanced fusion between your organization’s managers and your data.

Applications

Quality Maintenance

Closely monitor the quality throughout your supply chain for early detection and process improvement

Process Optimization

Optimize schedule of your operations to reduce time to production and improve efficiency of people and equipment

Scrap Prediction

Identify and mitigate production disturbances that produce wasted resources

Digital Twin

Create a replica of your plant to optimize your operations and physical assets across your enterprise

As your Data partner, Adastra will unify and refine your data into one central view; offering real-time, accurate, data-driven decision making as well as a toolkit of cognitive functions to prevent manufacturing scrap.  With a history creating scalable platforms to host and extract insights, we are your #1 Data and Analytics partner for the digitization of your plant operaitons.

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Zeeshan Saeed

SVP Microsoft Practice

Zeeshan Saeed

Dilraj Sehdev

Director Customer Success West

Dilraj Sehdev