
Structurally managing production performance
Real-time insights and analysis as a basis for better decisions about output, efficiency, and reliability.

Structurally managing production performance
Real-time insights and analysis as a basis for better decisions about output, efficiency, and reliability.

How can VDS Smart Factory support your organization?
In many production environments, performance only becomes visible after output has already been lost. Insight is fragmented, leading to figures being debated and decision-making being delayed. The result is that improvements remain reactive and the same disruptions continue to repeat.

How can VDS Smart Factory support your organization?
In many production environments, performance only becomes visible after output has already been lost. Insight is fragmented, leading to figures being debated and decision-making being delayed. The result is that improvements remain reactive and the same disruptions continue to repeat.

How can VDS Smart Factory support your organization?
In many production environments, performance only becomes visible after output has already been lost. Insight is fragmented, leading to figures being debated and decision-making being delayed. The result is that improvements remain reactive and the same disruptions continue to repeat.
Trusted by international clients
Trusted by international clients
Trusted by international clients
From production performance to targeted action
From production performance to targeted action
Structurally steering on production performance requires current and reliable insight into where and why performances deviate. Without this overview, problems remain visible too late and optimization remains reactive.
The dashboard within VDS Smart Factory brings together performance and operational context in one overview. Deviations are immediately visible and can be used for adjustments on the shop floor and decision-making at the management level. This insight also forms a basis for predictive maintenance, as trends and deviations are recognized early.
This insight is fed by data from various sources within the production environment and the existing IT architecture, including:
OPC UA
Modbus TCP / RTU
Digital I/O (such as pulse counters and motion detection)
Analog signals (e.g., temperature, weight, and distance)
API connections
ERP, MES, and SCADA systems
By bringing these sources together, a consistent and up-to-date picture emerges, enabling deviations to be directly translated into targeted actions, for example, when determining priorities during the day's start.
Structurally steering on production performance requires current and reliable insight into where and why performances deviate. Without this overview, problems remain visible too late and optimization remains reactive.
The dashboard within VDS Smart Factory brings together performance and operational context in one overview. Deviations are immediately visible and can be used for adjustments on the shop floor and decision-making at the management level. This insight also forms a basis for predictive maintenance, as trends and deviations are recognized early.
This insight is fed by data from various sources within the production environment and the existing IT architecture, including:
OPC UA
Modbus TCP / RTU
Digital I/O (such as pulse counters and motion detection)
Analog signals (e.g., temperature, weight, and distance)
API connections
ERP, MES, and SCADA systems
By bringing these sources together, a consistent and up-to-date picture emerges, enabling deviations to be directly translated into targeted actions, for example, when determining priorities during the day's start.



Sensors
Sensors



Applications
Applications



Dashboards
Dashboards
Discover our solutions within your sector
Discover our solutions within your sector
Discover our solutions within your sector






Chemical industry
See below under which process conditions performance deviates, even within acceptable limits.
See below under which process conditions performance deviates, even within acceptable limits.
See below under which process conditions performance deviates, even within acceptable limits.
This is what structural performance management looks like in practice.
This practical example illustrates how real-time performance insight is used to steer daily operations. This insight forms the basis for structural OEE management and simultaneously provides entry points for predictive maintenance, as deviations and trends become visible early on. This allows teams to quickly understand what is happening and take targeted actions. As a result, it is immediately clear during the shift where performance loss occurs and what this means for planning and output.
This practical example illustrates how real-time performance insight is used to steer daily operations. This insight forms the basis for structural OEE management and simultaneously provides entry points for predictive maintenance, as deviations and trends become visible early on. This allows teams to quickly understand what is happening and take targeted actions. As a result, it is immediately clear during the shift where performance loss occurs and what this means for planning and output.
More results, less hassle: our approach
VDS combines business insight with technical depth. We understand how production processes function and how decisions are made on the shop floor and in management. As a result, we do not provide standalone solutions, but an approach that supports Continuous Improvement and ensures structural performance enhancement.
We take complex data and IT projects completely off your hands, allowing your team to focus on operations. Independent of vendors and platforms, with ownership by the client and always focused on what demonstrably adds value.
Within 4–8 weeks, we will achieve a first working basis for structural performance management.
VDS combines business insight with technical depth. We understand how production processes function and how decisions are made on the shop floor and in management. As a result, we do not provide standalone solutions, but an approach that supports Continuous Improvement and ensures structural performance enhancement.
We take complex data and IT projects completely off your hands, allowing your team to focus on operations. Independent of vendors and platforms, with ownership by the client and always focused on what demonstrably adds value.
Within 4–8 weeks, we will achieve a first working basis for structural performance management.
How do you implement Smart Factory with VDS?
How do you implement Smart Factory with VDS?



Inventory
We map the production environment and distinguish between symptoms and structural causes. This clarifies where performance is truly lost and where management makes a difference.
We map the production environment and distinguish between symptoms and structural causes. This clarifies where performance is truly lost and where management makes a difference.



Data collection
We unlock relevant signals from machines, operators, and existing systems, and capture them reliably. This forms a consistent basis for insight, without extra actions on the shop floor.
We unlock relevant signals from machines, operators, and existing systems, and capture them reliably. This forms a consistent basis for insight, without extra actions on the shop floor.



Insight & analysis
By combining data, real-time insights into performance and causes are created. These insights are used in dashboards and daily starts to make targeted adjustments.
By combining data, real-time insights into performance and causes are created. These insights are used in dashboards and daily starts to make targeted adjustments.
Food
Food
Daily management in food production demands consistency in performance, while variation in processes and circumstances is unavoidable. Without up-to-date insight, management quickly focuses on averages, leaving deviations per product, batch, or moment underexposed.
VDS Smart Factory supports organizations in achieving operational excellence by making performance more comparable and making deviations visible in a timely manner. This creates structural control over quality, output, and delivery reliability, rather than reactive adjustments.
Daily management in food production demands consistency in performance, while variation in processes and circumstances is unavoidable. Without up-to-date insight, management quickly focuses on averages, leaving deviations per product, batch, or moment underexposed.
VDS Smart Factory supports organizations in achieving operational excellence by making performance more comparable and making deviations visible in a timely manner. This creates structural control over quality, output, and delivery reliability, rather than reactive adjustments.






Feed
Feed
Performance loss in the animal feed industry is often explained by variation in the process, causing structural reasons to remain under the radar. Decisions are then made based on assumptions, while differences in settings, composition, and conditions are precisely determinant for the outcome.
We bring structure to this variation by making performances comparable. This makes it visible where variation is acceptable and where structural loss occurs, without extra registration or pressure on the operation.
Performance loss in the animal feed industry is often explained by variation in the process, causing structural reasons to remain under the radar. Decisions are then made based on assumptions, while differences in settings, composition, and conditions are precisely determinant for the outcome.
We bring structure to this variation by making performances comparable. This makes it visible where variation is acceptable and where structural loss occurs, without extra registration or pressure on the operation.
Chemical industry
Chemical industry
In a Smart Industry environment, process control depends on insight into what is actually happening within process boundaries. Performance issues in chemical production often go unnoticed as long as deviations fall within seemingly acceptable margins.
VDS Smart Factory makes it visible under which process conditions performance deviates and structurally brings these patterns to light. This makes it possible to base decisions on settings, recipes, and process boundaries on actual performance effects instead of assumptions.
In a Smart Industry environment, process control depends on insight into what is actually happening within process boundaries. Performance issues in chemical production often go unnoticed as long as deviations fall within seemingly acceptable margins.
VDS Smart Factory makes it visible under which process conditions performance deviates and structurally brings these patterns to light. This makes it possible to base decisions on settings, recipes, and process boundaries on actual performance effects instead of assumptions.






Metal industry
Metal industry
Differences between machines, products, and setup times make it difficult to compare performances fairly and consistently. As a result, structural losses often remain hidden behind operational variation.
We record performances clearly per machine, order, and product type, so that variation is no longer an excuse but provides insight. This makes it visible where capacity is structurally lost and allows for targeted management of utilization, instead of temporary solutions.
Differences between machines, products, and setup times make it difficult to compare performances fairly and consistently. As a result, structural losses often remain hidden behind operational variation.
We record performances clearly per machine, order, and product type, so that variation is no longer an excuse but provides insight. This makes it visible where capacity is structurally lost and allows for targeted management of utilization, instead of temporary solutions.
From our blog
From our blog
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Ready to send with real-time insights?
Contact us and discover what VDS can do for your organization in the field of Smart Factory.

Ready to send with real-time insights?
Contact us and discover what VDS can do for your organization in the field of Smart Factory.









