Why is necessary to optimize the production
Our software gives you a unique chance to streamline processes in your company, save resources or finance, improve quality, decrease times and become more interesting for your customers. By optimizing, we achieve high savings of cost, material, energy, and increasing of product quality.
Before we fix the price, we will find out at our expense whether we are able to meet your requirements, reduce costs or improve quality.
Solved areas
Optimization of production processes
Our specialization is the optimization of production processes that we have been working on for several years. We have experience especially in light and heavy engineering and metallurgy. Our software can handle discrete and continuous processes as well, and we are able to optimize geometric objects to suit your needs and your specific conditions.
Business process optimization
Our computing solution is suitable not only for manufacturing processes but also for other business processes such as administration or logistics. Our software is used to optimize production plans with an operational response to changes in production (eg failure to deliver material, change in demand).
Optimizing complex units
If there are more production processes in the value chain it is recomended to do optimization above all cooperating processes. This is only way which can assure total optimization of containing parts and transitions between them. We implement these systems using the application of a modern distributed intelligence method, and the theory is adapted to the needs of the production operation.
Offered products
Optimizing discrete processes
Optimization of cutting material, creating cutting plans, optimizing the cutting on a rolling mill, software for saws, optimizing melting plans, optimizing foil cutting.
Optimization of geometric objects
Optimizing the placement of regular objects on the boards, optimizing the trajectory of plasma torches.
Analysis and optimization of continuous processes
Statistical analysis of data, finding implausible data and statistical dependencies, finding process dependencies from collected data, finding quantities that influence the quality of production, designing optimal process parameters to minimize production risk, estimating potential risks of poor manufacturing, analysis and optimization tailored to the manufacturing process by combining classical and intelligent modules.
Optimizing distributed processes
Optimizing complex processes in which individual components behave as partially separate objects.
