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Knowledge-based cost engineering for industrial robot systems

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


Jia, Q.-S. ; Institute of Electrical and Electronics Engineers -IEEE-; IEEE Robotics and Automation Society:
IEEE International Conference on Automation Science and Engineering, CASE 2015 : Automation for a Sustainable Future; August 24-28, 2015, Gothenburg, Sweden
Piscataway, NJ: IEEE, 2015
ISBN: 978-1-4673-8182-6
ISBN: 978-1-4673-8183-3
ISBN: 978-1-4673-8184-0
International Conference on Automation Science and Engineering (CASE) <11, 2015, Gothenburg>
European Commission EC
Conference Paper
Fraunhofer IPA ()
Roboter; Kostenoptimierung; Life Cycle Costing (LCC); Kosten-Controlling; Kostenmanagement

Robot systems are special machinery and require diverse engineering and integration tasks during commissioning. Established costing approaches do not offer the possibility to model the activities and resulting cost during integration and to effectively re-use knowledge of past projects among different stake holders. This paper proposes a new costing approach integrating elements from life-cycle costing (LCC) and activitybased costing (ABC) with the Product, Process, Resource (PPR) approach commonly used in PLM system. Interval analysis is used in order to describe uncertainties and track their effect through the entire cost-model.