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

: Dietz, Thomas; Pott, Andreas; Hägele, Martin; Verl, Alexander

Preprint urn:nbn:de:0011-n-2740038 (885 KByte PDF)
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Created on: 14.1.2014

Lee, Ju-Jang (General Chair); Verl, Alexander (International Program Committee) ; Institute of Electrical and Electronics Engineers -IEEE-; International Federation of Robotics; Korea Advanced Institute of Science and Technology -KAIST-, Seoul:
ISR 2013, 44th International Symposium on Robotics : October 24-26, 2013, Seoul, Korea. Proceedings
Taipei/Taiwan, 2013
6 pp.
International Symposium on Robotics (ISR) <44, 2013, Seoul>
European Commission EC
Conference Paper, Electronic Publication
Fraunhofer IPA ()
Robotic Systems; Life Cycle Costing (LCC); Kleine und mittlere Unternehmen KMU; Small and Medium Sized Enterprises (SME); SMErobotics; Robotersystem; Roboter; Industrieroboter; Kosten; Wirtschaftlichkeit; Kosten Nutzen Analyse

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.