Title :
Knowledge-based cost engineering for industrial robot systems
Author :
Thomas Dietz;Andreas Pott;Martin Hägele;Alexander Verl
Author_Institution :
Fraunhofer-Institute for Manufacturing Engineering and Automation, 70569 Stuttgart, Germany
Abstract :
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 activity-based 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.
Keywords :
"Robots","Uncertainty","Costing","Mathematical model","Knowledge based systems","Production","Ontologies"
Conference_Titel :
Automation Science and Engineering (CASE), 2015 IEEE International Conference on
Electronic_ISBN :
2161-8089
DOI :
10.1109/CoASE.2015.7294261