This paper introduces a new cost-model for robot systems with cognitive features for the use in small and medium sized enterprises (SME). The model combines approaches from activity-based costing and life-cycle costing to reflect machine and production-centric aspects of the use of robot systems. Key contribution of this paper is the handling of uncertainty in the input parameters of the cost-model by using methods from interval analysis. This approach allows to compute explicitly best and worst case scenarios without manual variation of parameters. The cost-model is tested for an application scenario for robotic deburring and shows the economic performance of the robot system in best and worst case in an intuitive way.


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    Titel :

    A new, uncertainty-aware cost-model for cost-benefit assessment of robot systems


    Beteiligte:
    Dietz, Thomas (Autor:in) / Pott, Andreas (Autor:in) / Hägele, Martin (Autor:in) / Verl, Alexander (Autor:in)

    Erscheinungsdatum :

    2013-01-01


    Anmerkungen:

    Fraunhofer IPA



    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629



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