DocumentCode
3669206
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
fYear
2015
Firstpage
1200
Lastpage
1205
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"
Publisher
ieee
Conference_Titel
Automation Science and Engineering (CASE), 2015 IEEE International Conference on
ISSN
2161-8070
Electronic_ISBN
2161-8089
Type
conf
DOI
10.1109/CoASE.2015.7294261
Filename
7294261
Link To Document