2023: Validating applicability of an artificial intelligence-based optimization model for production processes based on Scandinor OÜ new planned production unit

The aim of the demo project is to improve the throughput of Scandinor OÜ new production unit by reducing bottlenecks in production processes and studying the applicability of an artificial intelligence-based optimization model for production processes. The output of the optimization model for the entrepreneur is testing the applicability of the artificial intelligence-based optimization model in the company’s specific production processes and products. In addition, implementing the decision-making process based on the optimization model to bring out the most optimal requirements for processes, equipment, buffers, automation and robotization solutions, and equipment placement in space. When designing a new production unit, it is important to take into account the outputs provided to reduce the construction cost and later production cost. In the case of a real production process, various technological, economic, resource, etc. constraints must be taken into account, which are often the main challenge in integrating them into models. Currently, there is no demand for industrially finished windows and doors suitable for heritage objects with linseed oil paint due to the long drying cycle of linseed oil paint and the complexity of this process that is difficult for humans to manage, so it is novel to produce 16th – 20th century era complex shape and profile single windows and doors true to the era in a modern automated and robotized factory using artificial intelligence functionalities. Several modern technologies such as MCDM-multicriteria decision making, HEA – evolutionary hybrid algorithms and ML-machine learning are combined to model and improve the production process.