@inproceedings{27103,
  abstract     = {{One of the notable drivers of the fourth industrial revolution is the collection of vast amounts of data along the entire lifecycle of a product. The analysis of product lifecycle data in conjunction with product hypotheses leads to promising potentials in strategic product planning. In this thesis paper, we postulate the need for data-driven product generation and retrofit planning as an interdisciplinary field of research. We define and analyze the key concepts and derive requirements in a structured way. Based on an exhaustive research of existing approaches, we structure open research questions and propose a roadmap in order to shape future research efforts.
}},
  author       = {{Massmann, Melina and Meyer, Maurice and Dumitrescu, Roman and von Enzberg, Sebastian and Frank, Maximilian and Koldewey, Christian and Kühn, Arno and Reinhold, Jannik}},
  booktitle    = {{Proceedings of the CIRP DESIGN}},
  publisher    = {{Scientific Technical Committee Design of the International Academy for Production Engineering (CIRP)}},
  title        = {{{Significance and Challenges of Data-driven Product Generation and Retrofit Planning}}},
  year         = {{2019}},
}