AutomationML review support in multi-disciplinary engineering environments

  title={AutomationML review support in multi-disciplinary engineering environments},
  author={Dietmar Winkler and Fajar J. Ekaputra and Stefan Biffl},
  journal={2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA)},
[Context] In Multi-Disciplinary Engineering (MDE) environments, the engineering of industrial production systems requires the collaboration of engineers coming from different disciplines. Engineers typically apply discipline specific tools and data models with limited collaboration capabilities. These loosely coupled tools and heterogeneous data models hinder efficient change management and defect detection, which makes MDE projects unnecessarily risky and error prone. [Objective] This paper… CONTINUE READING


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