EXPLAIN – Explainable and Learning Production & Logistics by Artificial Intelligence
The project identifies an innovative combination of virtual production technology and AI algorithms to increase access to new knowledge and understanding within the production area.
Aim and objective
The EXPLAIN project aims to increase and develop the Swedish manufacturing industry's sustainable production, for profitability and competitiveness. The project conducts research and development of a new one generation of interactive and innovative fusion of virtual production methods and machine learning algorithms for better decision support and increase knowledge and understanding within the life cycle of the production system. EXPLAIN is based on a human-in-the-loop system that takes on complex multi-objective decisions in production planning and control concerning energy and resource efficiency.
Unlike other research efforts in virtual production delivers EXPLAIN three unique innovations: (1) automatic virtual model generation with real-time connection to data sources as well as modules that take into account factors within energy and resource efficiency. This innovation will make use of Process Mining and self-configurable modeling methods to facilitate virtual production development; (2) AI algorithms vars decision-making process is transparent and reliable, as well as a user interface that supports optimal and secure decisions and develop the decision - maker's knowledge and understanding; (3) knowledge management with using knowledge diagrams to link virtual production artifacts so that they can be searched and effectively reused.
EXPLAIN identifies an innovative combination of virtual production technology and AI algorithms that provide an effective way to increase access to new knowledge and understanding within production area, a combination that goes beyond just using virtual production technology.
