Optimization as an Innovative Design Approach to Improve the Performances and the Functionalities of Mechatronic Devices

A Multiobjective Optimization Framework for the Embodiment Design of Mechatronic Products Based on Morphological and Design Structure Matrices

“…They all describe them as a phase-type process of different granularity with phases such as [1]: clarification of the task [2,3], conceptual design [4][5][6], embodiment design [7,8], and detail design [9,10]. Our research works are therefore intended to propose new design methods and tools, based on multiobjective optimization approaches, to develop more efficient, more innovative mechatronic systems [11,12] integrating more features, requiring less time to design them and being cheaper. This paper focuses on the support of the embodiment design of mechatronic systems, not only in terms of architecture generation but also in architecture selection.…”

“…Whilst the components are themselves optimal, it does not produce an optimal global wind turbine, as the problem is nonlinear and non-convex. With the company, we defined the objectives of our design problem and the functional architecture of the turbine [12] shown in figure 1. This approach includes three phases: the first phase deals with the definition of the functional architecture, the second one aims developing subsystems from the mechatronic system, and the third one integrates the subsystems within the global mechatronic system and optimizes this integration.…”

The Approach for Identifying Opportunities in Product Innovation Design through Requirement Conflict Analysis

“…Enterprises can allocate resources more effectively in the realm of innovation by focusing on identifying these opportunities [3]. Although innovative product design is known for being time-consuming [4] and having a low success rate [5], the process of opportunity identification, occurring in the early stages, incurs lower costs [6] yet plays a significant role in defining product quality and manufacturing expenses [7]. This, in turn, proves beneficial in reducing the need for repeated design iterations and mitigating the risks associated with the overall design process.…”