Enhancing accessibility and long-term utilization of Discrete Event Simulation models with Low-Code Development platforms - A case study of a heat treatment process at a bearing manufacturer

Abstract

Discrete Event Simulation (DES) is widely used in manufacturing for analyzing and optimizing production systems. However, many simulation models suffer from limited accessibility which limit their long term utilization due to technical complexity and reliance on expert users. This master’s thesis explores how Low-Code Development Platforms (LCDPs) can improve the accessibility and sustainability of DES models by enabling broader user engagement and reducing the technical barriers connected with traditional simulation tools. The study was conducted as a case study at Swedish bearing manufacturer SKF with focus on a heat treatment process characterized by long cycle times and complex routing. A concept was developed with integration of Siemens Tecnomatix Plant Simulation and the Mendix based platform "Optimize My Plant". The concept allowed input data from SQL databases and users to be processed through Excel interfaces and transferred to the simulation model via automated application programming interfaces. Customized interfaces and visualization tools were built to support user specific simulation scenarios and key performance indicator analysis. The implementation was verified and validated through multiple tests and stakeholder workshops involving both potential users and technical experts. The findings indicate that integrating DES models with LCDPs can reduce dependency on simulation experts, increase user friendliness, and enable role specific decision support. Critical success factors include digital maturity, structured data governance, and clearly defined ownership of the model and its input data. The thesis contributes the area of simulation technology and its practical, long-term use within organizations.