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Today’s production trends are directed towards the production of personalized products. On the one hand, customers are often faced with dilemmas regarding product characteristics and sometimes find it difficult to make decisions, on the other hand, manufacturers are faced with difficulties in understanding the wishes and needs of customers and translating them into product characteristics. This paper presents the selection of appropriate mobile cobot stand for Learning factory purposes at the University of Split. Mobile cobots play a significant role in the Learning factory environment, especially for assembly tasks where collaborate with humans. A mobile stand is necessary for the cobot, so it can move between stations and come closer to the station for performing tasks. Two different multi-criteria decision-making methods were used for the selection of the stand. The comparison of results obtained from two different methods has been made and the appropriate mobile cobot stand has been selected.