Use Case Gallery
Unlock the value of your data
Data Coffee is committed to providing high-quality (production) data from both manual and automated operations in a flexible and reliable manner, performing basic data preprocessing in terms of structure, context, and content, and delivering relevant data to third-party systems or users in the form of structured data and visualizations. It is important to us that data provision is implemented in a consistent and future-proof manner, so that new technologies and analytics can seamlessly build upon it. For more complex tasks, we are happy to collaborate with strong partners so that we can offer our customers a more comprehensive range of solutions related to OT data.
Below is a small selection of use cases we have implemented. Experience shows that each implementation has its own unique aspects. The benefits of an implementation are usually tied to how the data is used internally and what the specific company’s goals are. We are happy to provide support in this area as well, through consulting, conducting relevant workshops, and implementing MVPs.
Machine Operating Hours
Operating machine tools of varying ages and configurations, with and without automated feeding systems, offers significant room for optimization. Program runtimes vary, and digitization is a complex process. Thanks to the combination of connectivity, data processing, and information sharing, machine operators, production supervisors, and management can use relevant production data to optimize uptime, identify the causes of errors, and facilitate the exchange of know-how within the company.
Thanks to objective transparency, productivity gains of 10% or more can be achieved through simple adjustments to operational processes.
View current operating status and work progress
Track downtime and error messages
Objectively determine capacity utilization and productive hours
Automatically report machine data to ERP (SAP) in aggregated form
The digitization of injection molding machines is generally intended to provide transparency regarding process flows and parameter history. Alarms can be triggered when errors are imminent or occur, thereby reducing downtime and enabling the operation of multiple machines. Commissioning processes can be shortened and plant operations optimized, resulting in less wear and tear and fewer defects.
Monitor operating parameters
Downtime and error messages
Objectively determine capacity utilization and productive hours
History of Good and Defective Parts
Batch or linked inline processes are typically characterized by a high degree of automation. Digitalization enables the early detection of bottlenecks and emerging quality issues. Often, historical data must be tracked across multiple stages, as certain factors can only be identified in downstream processes. Effective troubleshooting and optimization therefore require a clear data strategy.
Identify bottlenecks
Identify quality dependencies
detect hidden defects
Energy & Media Consumption
With rising energy prices and energy shortages, the energy and media consumption of production facilities is becoming increasingly important. In many cases, understanding energy consumption during idle periods can lead to savings of more than 15%. Start-up times for equipment can also be optimized. Further savings can be achieved by shortening process times or reducing media consumption without compromising quality.
Identifying and Preventing Waste
Optimize consumption in a controlled manner
Plan and consume with foresight
Monitor and identify peak loads from production facilities and buildings to ensure grid stability as consumption rises and to reduce operating costs in a sustainable manner.
Identifying peak loads and consumption
Preventing peak loads
Planning for the Future and Building Stability
quality and status of processes and equipment in relation to energy requirements. Energy measurement often enables the implementation of cost-effective retrofits that not only ensure proper operation and status but also provide the relevant information for the Product Carbon Footprint (PCF). In combination with other data, it is also possible to perform consumption analyses and optimizations for each product or order.
Ensuring the quality of processes and equipment
Automate regulatory processes
Track consumption by process
Manual production processes
Digitizing (partially) manual production processes is essential for sustainably reducing documentation efforts and breaking down data silos. In addition, employees can be guided through production workflows, and the quality of these workflows can be verified. This simplifies documentation and ensures an up-to-date order status and transparency in production. It also helps facilitate the sharing and discussion of experiences and production knowledge.
Digital assembly processes guide employees step by step through their tasks. Furthermore, the quality of these tasks can be verified. In addition to manual entries, process data from equipment and environmental sensors can be recorded. This completes the digital record and enables the traceability of assembly steps to ensure high-quality production.
Simplify and automate the documentation of process steps
Make order status and history transparent
Ensure quality gates
Agricultural processes involve many manual steps that are rarely automated. To monitor quality and order status nonetheless, manual data entry tools help capture additional information on production status and product quality, thereby enabling the necessary steps to optimize processes.
Simplify and automate the documentation of process steps
Make the status of orders transparent
Record product quality
Documentation requirements, such as those in coffee roasteries, take up a significant amount of operators’ time. By digitizing documentation, this workload can be reduced by over 50%. The system provides analyses of throughput and productivity, and automatically generates reports for coffee taxes and organic coffee certification. Transparency regarding production processes, product quality, and inventory enables sustainable operations with minimal staff involvement.
Simplify and automate the documentation of process steps
Show inventory levels
Record product quality
