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Steel

Data-driven predictive maintenance for continuous casting optimization

A long product metal producer wants to reduce cost through avoiding production stoppages and planning maintenance efficiently. The client decides to focus on the continuous casting section as it's the most challenging and problematic part of the production process.

Cement

Digital twin for asset management and predictive maintenance

A global Cement Producer recently started an ambitious, multi-phased digital transformation journey to increase revenue by reducing production downtime, running operations at more than 95% efficiency, and reducing CO2 emissions.

Mining

Mining operations yield increase through digitization

The Mining division of an international Steel producer wants to explore why the yield (tons produced per hour) of some production lines is different from other -despite identically equipped -production lines.

Process manufacturing

Process automation as scalable prototype

In its constant effort to leverage digitalization and industry 4.0 loT, a global lime producer has the goal of automating Kiln, a furnace technology, within their plants in several locations and optimizing their daily operations with the use of data-driven insights from production data.

Roasting

AI-closed loop automation to Optimize Pistachio Roasting for Humidity Precision and Efficiency

Ireco, a leading producer of pistachios, aimed to improve their roasting process by achieving a consistent target humidity in their final product. Their goals included minimizing energy consumption, managing the natural variability in raw material properties and improving machinery reliability to achieve stable quality.

Beer & Beverage

Root Cause Analysis, Batch Tracking and fermentation in Beer Industry

A leading producer of beers and other non-alcoholic beverages aimed to easily identify the root cause of quality issues in specific batches and track their potential impact on other batches.

Blow Molding

Enhance Quality Efficiency and Stability for Bottle Production

Ensuring consistent bottle quality across 16 manufacturing plants requires precise control of blow-molding parameteres and rapid detection of process deviations. In this case, a leading American bottling company partnered with Wizata to stabilize its blow-molding operations using real-time optimization and predictive AI.

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