Conceptual design conceptual scheme optimization based on integrated design objectives

Abstract

In the early conceptual design process, a large number of conceptual schemes can be selected. However, existing studies primarily focused on mapping from the function to the principle solution and then evaluating the principle scheme. Currently, many concept selection methods are used for a small number of feasible schemes, thus not addressing a large number of initial conceptual schemes. As the scheme design is objective oriented, a reasonable design objective constraint should be considered when optimizing many schemes to avoid conflict between the conceptual scheme and the design objectives. This approach can quickly eliminate many unreasonable schemes produced by the principle of free combination. To address this problem, we propose a method for optimizing the conceptual design scheme based on integrated design objectives. First, the product design objectives and sub-objectives are obtained based on the functional requirements. A user requirement matrix is then created to cluster and analyse the sub-objectives. Second, a cooperative game model is created to coordinate sub-objective contradictions. Then, the game player and the strategy set are defined via secondary clustering, and the strategy utility is calculated to create a game utility matrix for each objective. Finally, the eigenfunction is analysed to obtain the strategy set satisfying the maximum requirement interest, which is applied in principle scheme optimization to quickly filter unreasonable schemes. The conceptual design of a transmission device is used as an example of the rapidly implemented optimization of the conceptual schemes.

Conceptual Solution Decision Based on Rough Sets and Shapley Value for Product-Service System: Customer Value-Economic Objective Trade-Off Perspective

“…This approach circumvents the weakness of objective weight calculations (i.e., weights that do not consider DM preferences), and also reduces the uncertainty triggered by subjective preferences. In addition, the preference evaluation for criteria is evaluated by the DM using the so-called 9-point scale [34,44], which is defined as follows: 1, very low (VL); 3, low (L); 5, moderate (M); 7, high (H); 9, very high (VH); and 2, 4, 6, 8, intermediate values between the two adjacent judgments.…”

“…Six research students from our group were asked to screen the principal solutions by using a Pugh table to qualitatively ascertain the initial principal solution combinations. Accordingly, the principal solutions that were clearly impractical were eliminated (the screening process will not be described in further detail, and interested readers can refer to [44]). Finally, a total of six candidate concept schemes were selected, with the names CS1 (A1B3C1D3E1F2G1); CS2 (A1B3C1D1E1F2G2), CS3 (A2B3C1D3E2F3G1), CS4 (A1B1C1D3E1F1G1), CS5 (A3B3C1D3E2F3G1), and CS6 (A1B3C1D3E2F3G2), respectively.…”

Low-carbon design based on conceptual design methods for mechanical and electrical products

“…At the research level of conceptual design, Jiang et al [10] proposed a method of optimizing conceptual design scheme based on integrated design goals, which solved the problem of conflict between conceptual schemes and design objectives. Chen et al [11] proposed a conceptual design synthesis method based on the structure of series-parallel functional units as an auxiliary tool for designers.…”

Research on product target image cognition based on complex network theory and game theory

“…For example, Wu et al (2019) objectively determined the relative importance of each emotional demand based on customer positioning, and the key customer demand in product design was identified by using a rough number algorithm. Jiang et al (2018) took the conceptual design of a transmission device as an example and evaluated the design goal by combining cluster analysis and a cooperative game model. Yao et al (2016) investigated the mapping mechanism of "image cognition-design features" for bus modelling and established a method to drive bus modelling design feature reasoning with style image cognition demand, which provided a theoretical basis and technical support for specific form design work.…”