Journal of Data Processing Gregor Papa, Peter Korošec 8 4 2018 http://www.dline.info/jdp/fulltext/v8n4/jdpv8n4_2.pdf The value of Digital twins in the smart world has been realized in the recent years. In the information technology there is a strong move towards the digital twin currently. In this work we introduce an initial step to upgrade simulations to digital twins to enhance the productivity even further. The multi-objective optimisation approach is important in achieving high efficiency of production scheduling. The goal of the optimization is to end 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 end a set of feasible, non-dominated solutions and analyse the required steps to achieve a digital twin. We show that with a multi-objective 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.