• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Konferenzschrift
  4. Knowledge-based cost engineering for industrial robot systems
 
  • Details
  • Full
Options
2015
Conference Paper
Title

Knowledge-based cost engineering for industrial robot systems

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 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.
Author(s)
Dietz, Thomas
Pott, Andreas
Hägele, Martin
Verl, Alexander
Mainwork
IEEE International Conference on Automation Science and Engineering, CASE 2015  
Project(s)
SMEROBOTICS  
Funder
European Commission  
Conference
International Conference on Automation Science and Engineering (CASE) 2015  
DOI
10.1109/CoASE.2015.7294261
Language
English
Fraunhofer-Institut für Produktionstechnik und Automatisierung IPA  
Keyword(s)
  • Roboter

  • Kostenoptimierung

  • Life Cycle Costing (LCC)

  • Kosten-Controlling

  • Kostenmanagement

  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024