Simulation and Data Analytical Approaches for Complex ETO Manufacturing System.

Sammanfattning: There is a significant rise in digital transformation, where all data types are easily available. Businesses seek to measure their processes to have better control over their operations as a result of the growth of digital information and technologies. By implementing a digital tool, industries are attempting to boost efficiency and productivity to survive in the fiercely competitive worldwide market. One of the most popular techniques of Industry 4.0 which enables a virtual depiction of a real system is simulation. Since improvements can be created and tested virtually before being implemented into the real system, simulation has become increasingly popular in the industrial sector. Particularly in Make to Order (MTO) and Engineer to Order (ETO) contexts, in which the manufacturing processes are complicated, non-standardized, and heavily reliant on manual labor, data capture has been an essential part that has gone unfocused, creating a long-lasting obstacle to digitalization. Companies must recognize the value of data and devise effective methods of data collecting as the economy shifts toward a more data-driven state. This study is based on an electrical transformer manufacturing company which is taking its initial steps towards using digitalization to better manage its manufacturing processes. However, the lack of data and the poor data quality resulting from manual data gathering methods are the main obstacles to this transformation. To look into the missing data, several organizational documents and production time documents were.