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Indeex Use Cases

Indeex Use Cases

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About Course

In this course, you’ll explore real-world industry challenges faced in production environments. We’ll show how the Indeex Digital Twin platform addresses these problems with practical solutions. You’ll dive into use cases covering efficiency, cost reduction, sustainability, and process optimization. Each module presents actual numbers and measurable benefits achieved by Indeex users. By the end, you’ll gain insights on how to apply these proven approaches to your own operations.

Course Content

Limited Packaging Line Visibility
Packaging can become a resource-intensive stage of the brewery, however, visibility is fragmented across different levels of the plant. Although this stage generates vast amounts of data, the information is often scattered and underutilized. Machine panels show only local performance, reports are compiled manually, and insights rarely extend beyond the line itself. As a result, managers and operators work with incomplete or delayed information, making it impossible to see the full picture of packaging efficiency.

  • Limited Packaging Line Visibility

Time-consuming, Insufficient Reporting
In most breweries, reporting still relies heavily on manual operator input and scattered data sources. Batch records are often pieced together from SCADA screens, spreadsheets, or even paper logs, leaving gaps and inconsistencies. Manual reporting increases the risk of errors or incomplete records. Critical connections between operations are easily lost, making it hard to trace back when quality or compliance questions arise. Cleaning procedures are often recorded separately, so confirming that a tank was properly cleaned before use can take hours.

Lack of KPIs Benchmarking
Without standardized KPIs, breweries struggle to measure performance across shifts, teams, or equipment. Decisions are often based on gut feeling rather than facts. This makes it difficult to identify where inefficiencies occur, to track whether improvement efforts are working, or to compare performance across time periods. As a result, continuous improvement initiatives stall, and opportunities for optimization remain hidden.

Complex, Unreliable Traceability
In many breweries, traceability is still fragmented across spreadsheets, paper logs, and disconnected systems. Tracking raw materials, batches, and equipment usage becomes time-consuming and prone to error. Operations like cleaning-in-place (CIP) are often asynchronous with production, making it even harder to reconstruct a full production history. Without a centralized, reliable traceability system, compliance reporting is burdensome, product recalls are costly, and continuous improvement is hindered.

Unclear Equipment Utilization
Brewery operations often suffer from limited visibility into how equipment is actually being used. Data is scattered across spreadsheets, logs, and machine interfaces, making it difficult to track utilization in real time. Minor idle periods or delays accumulate unnoticed, creating hidden bottlenecks that reduce output. Without a clear picture of equipment performance, managers rely on manual reporting and gut feeling, which slows down decision-making and prevents the brewery from reaching its full capacity.

Blind Spots in Cooling
Cooling is one of the most energy-intensive operations in brewing. Yet, performance is often poorly monitored, leaving blind spots in how tanks and cooling plants actually operate. Malfunctions, uneven workloads, or inefficient valve performance usually remain unnoticed until they cause longer cooling times, unstable fermentation conditions, or soaring energy bills. Without clear insights, breweries struggle to know whether their systems are working efficiently or wasting resources.