SDA1: Integrated Systems and Smart Manufacturing Technologies

The general objective of the SDA1 is to develop and implement smart manufacturing technologies (advanced monitoring, manufacturing capability enhancement through raising process intelligence, virtual environment for simulation of customer order management in networked manufacturing, and manufacturing execution environment for smart factories) for integrated manufacturing in the field of mechanical engineering, mechatronics, transport, electronics, furniture, and food industries. These technologies will help to increase overall productivity, production efficiency and quality with developing and implementing web-based real time optimal control functions for making informed business decisions for manufacturing systems and customized products, using continuous monitoring, simulation and analysis of machine and process performance data.

There are different stages that have to be made parallel to reach to the needed results:  the first part is focused on analyzing and developing software toolset for manufacturing companies to describe business processes and data structure and automatically deploy mobile-friendly software modules, which help business managers and company’s IT personnel to adapt ready-made models and extend them for company’s needs; the second part is focused on optimizing the best practices of  manufacturing processes and developing knowledge base 3D model which can automatically recognize manufacturing features and generate numerical control (NC) code for recognized operations and increases the productivity, lowers the labor cost; the third part is focused on simulating the production by real-time factory floor–plan 3D visualization together with production monitoring,  prediction, workplace performance analyze and indoor positioning, which help managers to simulate the production processes, control the production and strategic plans in real conditions and simultaneously change the existing plans and prognoses.


The head of the development area: Kristo Karjust, PhD

E-mail: kristo.karjust@ttu.ee