Research & Development
The Foundation of Everything We Do
Why to Collaborate?
Research and development through collaboration is the foundation of everything we do. Collaborative research is the main driver for the innovations in our products and services. We have developed innovative technologies in different domains which have inspired us to extend the functionalities and usability of our products and services. We validate research results in large-scale trials which are driven by realistic requirements and strong user involvement. We are continuously searching for research opportunities in different application domains.
Industry projects: If you have a problem related to big data, real-time processing, mobile processing in various application areas and need support in solving it.
We can help you by delivering efficient, scalable, reliable solutions based on the state of the art technologies and the newest research results.
Research projects: If you need a technical, integration and exploitation partner with a huge experience in advance real-time, big data and mo
We can help in developing highly competitive solutions.
We can lead to innovation management activities.
Partnership: If you need partners or want to enter the market of the Western Balkans countries.
We can be a local partner for your business in Western Balkans and bring new use cases.
This proposal paves the way for revolutionizing process & quality control for manufacturing SMEs by taking advantage of the digital transformation not only to reduce costs and increase productivity but also to lower the environmental impacts. The main challenge is that this transition must be affordable, i.e., smoothly integrated into the existing automation of processes and quality control. The main novelty is using unsupervised deep learning methods for discovering change points in complex multidimensional spaces and understanding their impact on the instability in the process as a whole. The outcome is an innovative ZDMP-enabled solution, for monitoring zero defect zero waste production, integrated into ZDMP Platform and offered through ZDMP Marketplace.
Based on our ongoing work in multivariate data analytics for zero defect manufacturing and current work on cognition-driven systems for improving process quality, we propose a novel approach for ZDM driven by a proactive detection of complex variations in processes, their understanding (root-causes) and impact analysis, with the goal to spot unusual behaviour of a process and validate it, before it starts producing defect products. The main advantage is that the approach is focused on monitoring and understanding process behaviour (as a whole) and not “isolated” anomalies. Outcome is an innovative ZDMP-enabled solution, cognition-driven ZDM (CogniZDM), based on existing ZDM components and integrated in the ZDMP Platform