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The Role of Multidisciplinary Design Optimization (MDO) in the Development Process of Complex Engineering Products
Linköping University, Department of Management and Engineering, Machine Design. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Management and Engineering, Machine Design. Linköping University, Faculty of Science & Engineering.
2017 (English)In: DS 87 Proceedings of the 21st International Conference on Engineering Design (ICED 17): Vol 4: Design Methods and Tools, Vancouver, Canada, 21-25.08.2017 / [ed] Anja Maier, Stanko Škec, Harrison Kim, Michael Kokkolaras, Josef Oehmen, Georges Fadel, Filippo Salustri, Mike Van der Loos, Design Society , 2017, Vol. 4, p. 109-118Conference paper, Published paper (Other academic)
Abstract [en]

The work presented in this paper explores several concepts related to the design of complex engineering products and emphasizes on the effects of considering Multidisciplinary Design Optimization (MDO) in the development process. This paper is by no means a comprehensive literature review, but instead, the aim is to discuss some key points through theory and references to common MDO applications. In this respect, the central topics which are addressed herein are the enhancement of the generic product development process, the road towards a better integration of the organization’s functions, the methods to manage complex system architectures, and finally, the shortcomings of the MDO field. As a link to more tangible industrial applications, Unmanned Aerial Vehicles (UAVs) are chosen as an illustrative example due to their technical complexity as well as the demanding requirements of the corresponding market. Overall, the paper shows that despite the current state-of-the-art limitations, MDO can be a valuable tool within the “traditional” design process that has the potential to enable products of better quality while simultaneously reducing the total development time and effort.

Place, publisher, year, edition, pages
Design Society , 2017. Vol. 4, p. 109-118
Series
ICED, ISSN 2220-4342
Keywords [en]
Design methods, Design process, Optimization, New product development, Multidisciplinary Design Optimization
National Category
Other Mechanical Engineering
Identifiers
URN: urn:nbn:se:liu:diva-142278ISBN: 978-1-904670-92-6 OAI: oai:DiVA.org:liu-142278DiVA, id: diva2:1152310
Conference
21st International Conference on Engineering Design (ICED 17)
Available from: 2017-10-24 Created: 2017-10-24 Last updated: 2017-12-13
In thesis
1. Optimization of Unmanned Aerial Vehicles: Expanding the Multidisciplinary Capabilities
Open this publication in new window or tab >>Optimization of Unmanned Aerial Vehicles: Expanding the Multidisciplinary Capabilities
2017 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Over the last decade, Unmanned Aerial Vehicles (UAVs) have experienced an accelerated growth, and nowadays they are being deployed in a variety of missions that have traditionally been covered by manned aircraft. This unprecedented market expansion has created new and unforeseen challenges for the manufacturing industry which is now called to further reduce the idea-to-market times while simultaneously delivering designs of even higher performance. In this environment of uncertainty and risk, it is without a doubt crucial for the involved actors to find ways to secure their strategic advantage, and hence, implementing the latest design tools has become a critical consideration in every Product Development Process (PDP).

To this end, a method that has been frequently applied in the PDP and has shown many successful results in the development of complex engineering products is Multidisciplinary Design Optimization (MDO). In general, MDO can bring additional knowledge regarding the best-suited designs much earlier in the process, and in this respect, it can lead to significant cost and time savings by reducing the total number of refinement iterations. Nevertheless, the organizational and cultural integration of MDO has been often overlooked, while at the same time, several technical aspects of the method for UAV design are still at an elementary level. On the whole, research on MDO is showing a slow progress, and to this date, there are many limitations in both the disciplinary models and the available analysis capabilities.

In light of the above, this thesis focuses on the particulars of the MDO methodology, and more specifically, on how it can be best adapted and evolved in order to enhance the development process of UAVs. The primary objective is to study the current trends and gaps of the MDO practices in UAV applications, and subsequently to build upon that and explore how these can be included in a roadmap that will be able to serve a guide for newcomers in the field. Compared to other studies, the problem is herein approached from both a technical as well as organizational perspective, and thus, this research not only aims to propose techniques that can lead to better designs but also solutions that will be meaningful to the PDP. Having established the above foundation, this work shows that the traditional MDO frameworks for UAV design have been neglecting several important features, and it elaborates on how those novel elements can be modeled in order to enable a better integration of MDO into the organizational functions. Overall, this thesis presents quantitative and qualitative data which illustrate the effectiveness of the new framework enhancements in the development process of UAVs, and concludes with discussions on the possible improvement directions towards achieving more and better MDO capabilities.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2017. p. 52
Series
Linköping Studies in Science and Technology. Thesis, ISSN 0280-7971 ; 1796
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:liu:diva-143672 (URN)10.3384/lic.diva-143672 (DOI)9789176853917 (ISBN)
Presentation
2017-12-14, A25, A-huset, Campus Valla, Linköping, 10:15 (English)
Opponent
Supervisors
Available from: 2018-01-08 Created: 2017-12-13 Last updated: 2018-01-12Bibliographically approved

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