A high-definition design structure matrix (HDDSM) for the quantitative assessment of product architecture

2012 ◽  
Vol 23 (10-11) ◽  
pp. 767-789 ◽  
Author(s):  
Andrew Harold Tilstra ◽  
Carolyn Conner Seepersad ◽  
Kristin L. Wood
Author(s):  
Andrew H. Tilstra ◽  
Carolyn C. Seepersad ◽  
Kristin L. Wood

Product architecture has implications for product success that go beyond meeting basic customer needs or performance requirements. The mapping of functions to components and the interactions between them impacts the potential for using all or part of the product to build a family of products, the ease with which the product can be redesigned to meet previously unanticipated customer needs, and the way in which engineering design changes propagate during the design process. For practical applications of design theory, it would be beneficial to have a comprehensive and robust model that captures product architecture and can be used for multiple purposes. Some fields of design research have used variations of a Design Structure Matrix (DSM) to record the interactions between elements of a system. The High Definition Design Structure Matrix (HDDSM) has been proposed as a model that limits the subjectivity required from designers by capturing the existence of very specific types of interactions between product components. This work evaluates the repeatability of HDDSM models created by different examiners for a set of electromechanical products. The inter-rater agreement between HDDSM models created by pairs of examiners is determined by calculating the kappa agreement index for each type of component interaction. The results of this initial study demonstrate very encouraging levels of repeatability across examiners for different types of products. Based on these results, recommendations are provided for creating objective models of product architecture and using such models for a number of exploratory research tasks, such as automated analysis of design guidelines.


2015 ◽  
Vol 1115 ◽  
pp. 606-609
Author(s):  
Irfan Hilmy ◽  
Erry Yulian T. Adesta ◽  
Nur’atiyah Najwa binti Samsul Bahrim ◽  
Aini Nurrasyidah binti Azhar ◽  
Siti Fatimah binti Mohd Shahar

In developing any engineering product, it is crucial to develop product architecture of the system. An engineering team who responsible in developing different module should work together in order to obtain product architecture as a blueprint of the project. It is common to breakdown system or product into smaller elements as follows: subsystems, modules and component and define the interactions between components and subsystems. In order to achieve the performance of the system as a whole, these elements must be integrated to work together. One of the method to develop product architecture is Design Structure Matrix (DSM). The use of DSM for Development of Product architecture with case study a CNC router platform is presented. Using DSM, order of product development can be optimized and any form of wastes can be eliminated in the design stage.


Author(s):  
Simon Li ◽  
Li Chen

In literature, design structure matrix (DSM), which is a square matrix, has been widely used to address single-domain dependency relationships (e.g., product architecture, process workflow, and organization structure). To extend the DSM efforts, a rectangular matrix becomes a logical format to capture and analyze cross-domain dependency relationships, namely, domain mapping matrix (DMM) [1]. In this context, this paper proposes a unified framework for decomposition of DSM and DMM. The unified framework consists of four methodological phases to offer the functions of DSM clustering, DSM sequencing, and DMM decomposition. To support the development of this framework, various decomposition-related techniques from applied mathematics and engineering design are reviewed. Three matrix examples have been used to illustrate the framework’s applicability.


Author(s):  
Andrew H. Tilstra ◽  
Carolyn C. Seepersad ◽  
Kristin L. Wood

The design of a product determines the flexibility of that product for future evolutions, which may arise from a variety of change modes such as new market needs or technological change. The energy, material, and information exchanged between components of a product along with the spatial relationships and movement between those components all influence the ability of that product’s design to be evolved to meet the new requirements of a future generation. Previous work has produced a set of guidelines for product flexibility for future evolution that have been shown to improve the ability of a design to be adapted when new needs arise. Although these guidelines are conceptually easy to understand, it is difficult to assess the extent to which a product follows the guidelines. This paper presents a systematic method to analyze the flexibility for future evolution of products based on selected guidelines. The High-Definition Design Structure Matrix is presented as a product representation model which captures sufficient interaction information to highlight potential design improvements based on the aforementioned guidelines. An interaction basis is used to facilitate the consistency and comparison of HD-DSM models created by different examiners and/or for different systems. The selected guidelines are interpreted in terms of the HD-DSM by creating analysis processes that relate to the characteristics described by the guideline. Two similar power screwdrivers are compared for flexibility for future evolution based on a quantitative analysis of their respective HD-DSMs.


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.


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