Method to Decrease Complexity in Engineering Design and Technical Systems

Pimapunsri, Kusol; Srimuang, Pattarawit

doi:10.1109/ri2c48728.2019.8999947

Cited by 1 publication

(3 citation statements)

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“…is the total number of sequences for the design matrix. [8] noticed that the non-zero off-diagonal elements decrease, Ci decreases while z increases, as shown in Table 2.…”

Section: Fr=dp ()mentioning

confidence: 82%

“…Many researchers proposed the method to solve design conflicts and complexity. A strategy for solving complexity and eliminating coupling terms from a design matrix is presented in [8], [9] focused on solving complexity with the heuristic method. [10] proposed the approach to selection and evaluation methods, [11] created an integrated design environment to manage the design conflicts.…”

Section: Fr=dp ()mentioning

confidence: 99%

“…Regarding the Design Parameter library in Fig. 11, when the design is decoupled [8] proposed the heuristic method to sort and rearrange the off-diagonal elements in the design matrix. The objective is to find the offdiagonal elements in the design matrix, as shown in Fig.…”

Section: Generate Design Solutionsand Reduce Design Complexitymentioning

confidence: 99%

See 2 more Smart Citations

Method to Manage Design Conflicts and Complexity in the Early Stage of Engineering Design

2022

Proceedings of WCSE 2022 Spring Event: 2022 9th International Conference on Industrial Engineering and Applications

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At the early phase of the engineering design, numerous ideas were generated as many as possible to satisfy the customer needs. Those ideas finally were transformed into a set of design matrices. However, the result of idea generation usually gave abundant of possible design variants. To avoid design conflicts and to obtain potential design variants, the design team must find the possible design variants and evaluate them. This process is considered a time-consuming and iterative work. This paper presents a method to find the possible design variants and to evaluate it complexity. It focuses on the mapping process between the function domain and the design domain. The generated ideas were transformed into design matrices represent a set of functional requirements (FRs) and a set of design parameters (DPs). The possible design variants were stored in the design library. They were then evaluated its complexity with complexity index (Ci). This method supports the design team to avoid design conflicts and to select suitable design variants at the early design phase.

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“…is the total number of sequences for the design matrix. [8] noticed that the non-zero off-diagonal elements decrease, Ci decreases while z increases, as shown in Table 2.…”

Section: Fr=dp ()mentioning

confidence: 82%

Section: Fr=dp ()mentioning

confidence: 99%