Abstract
The current economic and manufacturing environment is characterized by increasing uncertainty and complexity. In this scenario, digitization, simulation and advanced automation are key technologies for the manufacturing of the future. A concept that has come out strongly is the Digital Twin. The digital production twin will allow manufacturers of production systems to offer services aimed at improving production throughout the entire life cycle of the facility. This article proposes a discrete event simulation procedure for the construction of the productive digital twin, in complex and highly automated production systems. As a demonstration of the developed procedure, a case study is shown on a line for the manufacture of railway axles, where simulation has been combined with multi-objective optimization. Keywords: digital twin, discrete event simulation, production systems, multi-objective optimization.
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