Automation of the conceptual design in engineering project management based on morphological approach

Authors

  • Andreas Bardenhagen Technische Universität Berlin, Institute of Aeronautics and Astronautics, Germany
  • Marina Pecheykina National Research University "Moscow Power Engineering Institute", Russia
  • Dmitry Rakov Mechanical Engineering Research Institute of the Russian Academy of Sciences (IMASH), Russia
  • Vladislav Todorov Technische Universität Berlin, Institute of Aeronautics and Astronautics, Germany

DOI:

https://doi.org/10.31181/rme20009022022a

Keywords:

Morphological methods, Technology management, Conceptual Design, Technological solutions.

Abstract

The article discusses the formalization and automation of the search for new engineering and technological solutions. Attention is drawn to some issues associated with approaches relying purely on human estimations and experience for the purpose of solving structural problems. In order to reduce these, the prospect of software tool introduction for the automation of the conceptual design process is presented. Particularly, global requirements for Computer-Aided Innovation tools are outlined and positioned within the classification of such software. The main challenges include the creation of approaches that allow early processing of information flows and produce some set of possible solutions. The focus lies in improving the efficiency of design studies and reducing the time spent on the entire process creation cycle. The Advanced Morphological Approach is presented as a successful example of addressing some of the mentioned challenges. The future implementation of the proposed software would allow to create a space of feasible design problem solutions, ideally resistant to changes of the external environment.

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Published

2022-02-08

How to Cite

Bardenhagen , A., Pecheykina , M. ., Rakov , D. ., & Todorov , V. (2022). Automation of the conceptual design in engineering project management based on morphological approach. Reports in Mechanical Engineering, 3(1), 135–144. https://doi.org/10.31181/rme20009022022a