scholarly journals Application of Service Modular Design Based on a Fuzzy Design Structure Matrix: A Case Study from the Mining Industry

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.

Author(s):  
Qiang Cheng ◽  
Weishuo Li ◽  
Deyi Xue ◽  
Zhifeng Liu ◽  
Peihua Gu ◽  
...  

Development of complex customized machine tools with low manufacturing costs is a challenging problem for many machine tool manufacturers in today’s competitive marketplace. In this research, a novel design method based on axiomatic design and sensitivity design structure matrix is introduced for identification of adaptable product platform. In order to identify the adaptable product platform, customer requirements are first classified into different groups based on K-means clustering method through genetic algorithm. axiomatic design is used to build the mathematical model for identification of the non-adaptable platform parameters, and sensitivity design structure matrix is employed to separate non-adaptable parameters in non-adaptable platform modules and adaptable parameters in adaptable platform modules. A bridge-type double-gantry boring–milling machining center, XXX-2890, is developed based on the existing heavy-duty gantry milling machines to demonstrate the effectiveness of the developed method.


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.


2018 ◽  
Vol 192 ◽  
pp. 01037
Author(s):  
Tanongsak Kongsin ◽  
Sakon Klongboonjit

In this study, components of the machine are analyzed to group all components into modular groups with a case study of a soil mixing machine. The study begins by creating a design structure matrix of all components. Next, the design structure matrix is transferred into a distance matrix of all components with Jaccard method. After that, the equation of complete linkage must be applied to change the distance matrix to a tree dendrogram for showing the relationship of machine components and dependent coefficient. With this tree dendrogram, six clusters are arranged:- the 1st cluster has 8 modules at the lowest dependent coefficient, the 2nd cluster has 7 modules, the 3rd cluster has 6 modules, the 4th cluster has 5 modules, the 5th cluster has 4 modules, and the 6th cluster has 2 modules at the highest dependent coefficient. Finally, the 1st cluster with 8 modules is considered to be the most proper cluster for this soil mixing machine by applying the repeating method to analyze all six clusters.


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.


2021 ◽  
Author(s):  
Qingping Zhong ◽  
Hui Tang ◽  
Chuan Chen

Abstract Post-disaster reconstruction projects face tighter time constraints and are in a more complex environment, making the implementation process of conventional projects unable to meet new requirements. This study decomposes the construction process and then determines the feed-forward and feedback relationship between activities in the post-disaster reconstruction environment. An information relationship diagram is established, and the relationship is transformed into a design structure matrix (DSM). Through DSM manipulation, a partitioned DSM is formed to express the activity process that is more suitable for reconstruction. This research shows that the activities sequence and content need to be changed to adapt to the reconstruction scenario, and some activities may even be canceled. Some suggestions can help construct the project faster, including closer cooperation between design and construction. The bidding scope includes design and construction and the use of more integrated project delivery methods. Finally, a reconstruction case in China illustrates the operability of analyzing and adjusting the implementation process through this framework.


Author(s):  
Iyad T. Alzaharnah ◽  
Warren P. Seering ◽  
Maria C. Yang

Integrating products of basic technology research and development efforts into Large Complex Systems (LCSs) requires systematic approaches. It has been observed that because of the complexity associated with LCSs, no single structured design method will suffice for integrating new technologies into an LCS. In this work, we explore through the literature how an integrated design approach involving the Design Structure Matrix (DSM) with several design methods (mainly those involving other matrix-based methods) might support the introduction of new technologies into large complex facilities. The survey presented in the paper could provide support for future investigations on how to align the outcomes of R&D processes with the requirements of introducing new technologies in target LCSs. Also it could help in developing future understandings about transitioning basic outcomes of R&D into technology products and services.


2012 ◽  
Vol 479-481 ◽  
pp. 2420-2423 ◽  
Author(s):  
Yong Zhang ◽  
Guo Ning Qi ◽  
Yang Jian Ji ◽  
Li Wei Song ◽  
Peng Jiang

A new method was introduced in this paper, which would help to build the modular product family for pumping unit. Design Structure Matrix (DSM) was used in the process of the pumping unit’s module planning avoiding from the disadvantages of inconsistent rules and improper scale. Taking the case of the beam-pumping unit, some specific techniques were discussed in this paper such as DSM’s building, tearing and clustering as well as the analysis of their results. And the product family of this kind of beam-pumping unit was designed under the result of the modules and the principle of tabular layouts of article characteristics. This study could be widely used as a kind of quantitative method for modular design of other products.


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