Journal of Electronic Systems Gregor Papa, Peter Korosec 8 4 2018 http://www.dline.info/jes/fulltext/v8n4/jesv8n4_3.pdf The world has been moving more smarter for which new technologies play crucial role. The transition from the old state in industry with the digital twins is a major development. In this work we introduced an initial step to upgrade simulations to digital twins to enhance the productivity even further. The multi-objective optimization approach is important in achieving high efficiency of production scheduling. The goal of the optimization is to find a production schedule that satisfies different, contradictory production constraints. We take a simulation tool that was used by a memetic version of the Indicator-Based Evolutionary Algorithm with customized reproduction operators and local search procedures to find a set of feasible, non-dominated solutions and analyse the required steps to achieve a digital twin. It is clear that with a multiobjective approach that is able to find high-quality solutions and flexibility of many \equal” solutions, the digital twin becomes a powerful tool for a decision maker.