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

  • 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
Keywords: Morphological methods, Technology management, Conceptual Design, Technological solutions.


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.


Aliyev, A., & Shahverdiyeva, R. (2017). Technical Ideas and Knowledge into Innovations in Technoparks. I.J. Engineering and Manufacturing, 2017, 2, 1-10.

Bardenhagen, A., & Rakov D. (2019). Advanced morphological approach in aerospace design during conceptual stage. Facta Universitatis,17(3), 321-332.

Boutemedjet, A., Samardžić, M., Rebhi, L., Rajić, Z., & Mouada, T. (2019). UAV aerodynamic design involving genetic algorithm and artificial neural network for wing preliminary computation. Aerospace Science and Technology, 84, 464-483.

Park, C., & Lee, D. (2020). Analysis on new types of electric power businesses using a morphological box. Energy & Environment. 32 (1), 113-133.

Garvey, B. (2016) Combining quantitative and qualitative aspects of problem structuring in computational morphological analysis. PhD thesis, Imperial College London.

Geng, X., Chu, X., Xue, D., & Zhang, Z. (2011). A systematic decision-making approach for the optimal product-service system planning. Expert Systems with Applications, 38 (9), 11849–11858.

Gost 2.118-2013. (2013) Unified system for design documentation. Technical proposal.

Hashimova, K.K. (2016). The Role of Big Data in Internet Advertising Problem Solution. I.J. Education and Management Engineering, 2016, 4, 10-19.

Isenmann, R., Landwehr-Zloch, S., & Zinn, S. (2020) Morphological box for ESD – landmark for universities implementing education for sustainable development (ESD), The International Journal of Management Education, 18 (1).

Kohn, S., & Huesig, S. (2007). Development of an empirical-based categorisation scheme for CAI software. International Journal of Computer Applications in Technology, 30(1/2), 33-46.

Knolmayer, G., & Borean A. (2010) A Morphological Box for Handling Temporal Data in B2C Systems. In: Cellary W., Estevez E. (eds) Software Services for e-World. I3E 2010. IFIP Advances in Information and Communication Technology, 41.

Komenda, T., Steiner, M., Rathmair, M., & Brandstötter M. (2020). Introducing a Morphological Box for an Extended Risk Assessment of Human-Robot Work Systems Considering Prospective System Modifications. Proceedings of the Joint Austrian Computer Vision and Robotics Workshop, Graz. JRROB-20-RAT-1.

Levin, M. (2015). Modular System Design and Evaluation, Decision Engineering, Switzerland: Springer International Publishing.

Mishin, V.P., & Osin, M.I. (1978). Introduction to Aircrafts Machine Design, Moscow: Mashinostroenie.

Mota, P., Campos, A. R., & Neves-Silva, R. (2013). First Look at MCDM: Choosing a Decision Method. Advances in Smart Systems Research, 3(2), 25–30.

Nakao, K. (2001). A planning methodology of systems technologies by a normatively developed morphological box. IEMC'01 Proceedings. Change Management and the New Industrial Revolution. IEMC-2001, 440-445.

Pereverza, K., Pasichnyi, O., Lazarevic, D., & Kordas, O. (2017) Strategic planning for sustainable heating in cities: A morphological method for scenario development and selection. Applied Energy, 186, 115-125.

Rakov, D., Sukhorukov, R., & Pecheykina, M. (2018). Computer-aided innovation support system based on the morphological approach. Journal of Machinery Manufacture and Reliability, 48, 173-178.

Rakov, D. (2010). Structural analysis and synthesis of new technical systems on the basis of morphological approach, Moscow: Librokom.

Rakov, D. (2019). Okkam - advanced morphological approach as method for computer aided innovation (CAI). MATEC Web of Conferences 298, 00120.

Rakov, D. (2020). Advantages and disadvantages of morphological methods in engineering. MATEC Web Conf., 329, 03028.

Rao, R. (2007). Introduction to Multiple Attribute Decision-making (MADM) Methods in Decision Making in the Manufacturing Environment: Using Graph Theory and Fuzzy Multiple Attribute Decision Making. Springer.

Ritchey, T. (2018). General morphological analysis as a basic scientific modelling method. Technological Forecasting and Social Change. 126, 81-91.

Smerlinski, M., Stephan, M., & Gundlach C. (2009). Innovationsmanagement in hessischen Unternehmen. Eine empirische Untersuchung zur Praxis in klein- und mittelständischen Unternehmen. Discussion Paper on Strategy and Innovation, Marburg.

Späker, L., Mark, B., & Rauch, E. (2021). Development of a Morphological Box to Describe Worker Assistance Systems in Manufacturing. Procedia Manufacturing. 55,168-175.

Thielman, J., & Ge, P. (2006). Applying axiomatic design theory to the evaluation and optimization of large-scale engineering systems. Journal of Engineering Design,17 (1), 1–16.

Tversky, A., & Kahneman, D. (1974). Judgment under Uncertainty: Heuristics and Biases. Science, 185(4157), 1124–1131.

Witt, T., Stahlecker, K., & Geldermann, J. (2018). Morphological analysis of energy scenarios. International Journal of Energy Sector Management, 16(2), 116-125.

Xu, Zeshui. (2015). Uncertain Multi-attribute Decision Making Methods and Applications. Springer.

Zaripova, V., & Petrova, I. (2012). Model of development of computer aided innovation tools (CAI). Prikaspiskii Journal, 3(19), 111–129.

Zhu, M., Zhang, S., & Zheng, Y. (2018). Conceptual design and optimization of scramjet engines using the exergy method. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 40(12), 553.

Zwicky, F. (1969). Discovery, Invention, Research – Through the Morphological Approach, Toronto: The Macmillan Company.

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.