Integration of axiomatic design and design structure matrix for the modular design of automobile parts

Author(s):  
Sang-ok Park ◽  
Jongmin Yoon ◽  
Hochan An ◽  
Jeonggyu Park ◽  
Gyung-Jin Park

As the demands of customers in the modern industry increased, the number of products, and the variety of components has increased. These issues have led to difficulties in product development and production. Modularization of products has advantages such as cost reduction, product development time reduction, and production time reduction. Modular design of products has been studied in the design activities of the modern industry. In this study, a modular design method is proposed to design a modular product based on axiomatic design (AD) and design structure matrix (DSM). AD and DSM are efficiently integrated into the proposed method. Functional requirements and design parameters are defined based on the Independence Axiom of AD, and the zigzagging process of AD is employed for the decomposition of the functional requirements (FRs) and design parameters (DPs). The design sequence is established based on the design matrix. Coupled or functionally close DPs are grouped into a module (Module 1). These modules are efficiently used in the design sequence. DSM is used to modularize the design parameters of the lowest level of axiomatic design. DSM is constructed based on physical interfaces and numerical clustering algorithms are used to identify strongly related components. They are grouped into a module (Module 2). Module 2 is exploited for production and management. Therefore, these two modules for different purposes can be used to increase efficiency in the design and production process. The proposed method is applied to two automobile parts such as the suspension system and cooling system. The results are discussed from the viewpoint of usefulness.

2011 ◽  
Vol 128-129 ◽  
pp. 1468-1471 ◽  
Author(s):  
Ji Hong Yan ◽  
Chun Hua Feng

With increasing sustainable development consciousness, sustainable design plays an important role not only in design phase but also in manufacturing process. This paper proposes a modular design methodology for achieving sustainable design as well as fulfilling functional requirements. Factors related to function and sustainability of products such as material, manufacturability, component life and so on are defined as modular drivers. Design structure matrix, a structured method which has advantages on representing and analyzing interaction relations among system elements, is employed to establish correlation matrix between components. K-means algorithm is used to integrate the basic components into design modules based on their correlation distance. Furthermore, an evaluation model is established for assessing sustainability of modular products. Finally, a reduction gear is used as a case study example.


2014 ◽  
Vol 599-601 ◽  
pp. 2202-2205
Author(s):  
Qing Yang ◽  
Zhi Lin Liu

This paper proposes a structure method integrating Design Structure Matrix (DSM) and Quality Function Development (QFD) to analyze the impact of design modification on Product Development (PD) Projects. Firstly, we build a QFD to represent the relationship between functional requirements and design parameters for quantifying the influence of function modification on design parameters, product and process. And a model of measuring dependency strengths in the function DSM is presented. Secondly, the model deducing a derived DSM matrix from a known DSM is built based on Multi-Domain Matrix (MDM). Finally, the derived process DSM is conducted sequence optimization.


2011 ◽  
Vol 314-316 ◽  
pp. 1607-1611
Author(s):  
Zhong Wei Gong ◽  
Hai Cheng Yang ◽  
Rong Mo ◽  
Tao Chen

Engineering change is an important and complex activity for manufacturing enterprises. In order to improve the efficiency of engineering change, designers should pay different attentions to different nodes of product development network. In that case, a method of classifying the nodes was proposed. First, we proposed a method to cluster the nodes based on design structure matrix; then, we analyzed the indexes for evaluating the importance of nodes and studied the method of classifying the nodes of product development network; finally, the experiment of managing a type of motorcycle engine was employed to validate our method and it showed the correctness of the proposed method.


Author(s):  
Zhuochen Shi ◽  
Gregory Mocko

Axiomatic Design has been applied and developed as a tool, offering a scientific basis for design and improving design activities. Axiomatic Design has been used in various fields such as software system design, structure design, and product design. However, several challenges and limitations exist in Axiomatic Design including: the inconsistency in identifying design parameters, existence of coupled design, and multiple groups of functional requirements and design parameters. Aimed at using Axiomatic Design to generate conceptual solutions in engineering design while overcoming its limitations, a formal ontology is developed. The ontology defines functional requirements, design parameters, concepts, components and variables and their relationships. Axioms and rules of Axiomatic Design for the ontology are summarized. The Axiomatic Design ontology is applied to the design of a car seat as an example generating several concepts, and then compared and analyzed multiple groups of the concepts with the help of Axiomatic Design rules. More design ideas can be generated by combining detailed concepts as the higher level possible solutions.


2019 ◽  
Vol 301 ◽  
pp. 00015
Author(s):  
Wenguang Lin ◽  
Renbin Xiao ◽  
Rongshen Lai ◽  
Xiaozhen Guo

Axiomatic design theory is widely used in new product development by providing design solutions through mapping between functional requirements and design parameters. However, the theory does not provide a method to help designer obtain and select design parameters. To this end, this paper introduces patent analysis to overcome the deficiency. Firstly, functional requirements are transformed into patent search terms, and design parameters are obtained from patents. Secondly, morphological matrix is used to represent the relationships between target function and multiple design parameters. Thirdly, design parameters with higher patent frequency are chose and combined into a new scheme. Finally, the scheme is evaluated by the independent axiom of Axiomatic Design theory. The methodology is demonstrated and validated with a case study of spa shower.


2010 ◽  
Vol 139-141 ◽  
pp. 1341-1344
Author(s):  
Ting Gui Chen

Due to shortcomings existing in traditional overlapping model, a new extending activity overlapping model based on design structure matrix considering rework and iteration during activities execution is proposed in this article. Firstly, a tradional overlapping model presented by others is introduced. Sencondly, it is expanded to apply to more general situations using design structure matrix. Subsequently, an example deriving from a certain product development process is used in order to illustrate its effeciency and effectiness


2021 ◽  
Vol 2021 ◽  
pp. 1-19
Author(s):  
Xin Wang ◽  
Bo Luo

The development of customized service is an important way to transform and upgrade China’s mining industry. However, in practice, there remain problems, such as the slow market response speed of service providers and the contradiction between the large-scale development of service providers and the personalized service needs of service demanders. This paper uses the theory and method of service modular design to solve these problems and explores the process-based service modular design method. Service modular design depends largely on the determination of the relationship between service activities and the reasonable division of modules. However, previous research has rarely made use of modular design methods and modeling tools in the mining service context. At the same time, evaluations of the relationship between service activities relying on knowledge and those relying on experience have been inconclusive. Therefore, this paper proposes a service modularization design method based on the fuzzy relation analysis of a design structure matrix (DSM) that solves the optimal module partition scheme. Triangular fuzzy number and fuzzy evidence theory are used to evaluate and fuse the multidimensional and heterogeneous relationship between service activities, and the quantitative processing of the comprehensive relationship between service activities is carried out. On this basis, the service module structure is divided, followed by the construction of the mathematical programming model with the maximum sum of the average cohesion degree in the module and the average coupling degree between modules as the driving goal. The genetic algorithm is used to solve the problem, and the optimal module division result is obtained. Finally, taking the service modular design of SHD coal production enterprises in China as an example, the feasibility of the proposed method is verified.


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