• 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