Modeling and Analysis of an Ontology of Engineering Design Activities Using the Design Structure Matrix

Author(s):  
Pavan Kumar ◽  
Gregory Mocko

In this paper, a published ontology of engineering design activities is modeled and analyzed using the design structure matrix (DSM). Specifically, the ontology analyzed in this research provides a basis for describing engineering design activities and subsequently design processes in an unambiguous manner. However, the proposed ontology lacks a computational representation and the information flow between activities is not adequately described. Thus, complex design processes cannot be represented using the ontology. The design activity ontology is modeled and analyzed using the DSM. First, the information flows between design activities are identified and their inter-relationships are described. Four different cases for representing the flow of information between design activities are modeled. In Case 1 and 2 feedback between information output and information input within an activity is captured. Whereas, in Case 3 and 4 it is assumed that no feedback between output and input exists within an activity. DSM analyses, including partitioning and tearing, are performed on the model. Observations and conclusions drawn from these analyses include the further decomposition of design activities, grouping of design activities, and lack of information flow between seemingly related activities. Based on these observations, recommendations are made to refine the ontology. Finally, additional research is required for developing a computational ontology of design activities.

2017 ◽  
Vol 14 (1-2) ◽  
pp. 95-108 ◽  
Author(s):  
Baris Bekdik ◽  
Jesse Pörzgen ◽  
Sebbe Sidenius Bull ◽  
Christian Thuesen

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.


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.


2016 ◽  
Vol 28 (1) ◽  
pp. 23-46 ◽  
Author(s):  
Guilherme Eduardo da Cunha Barbosa ◽  
Gilberto Francisco Martha de Souza

Author(s):  
Ian Yellowly

Engineering design is the central process in the transformation of new ideas and conventional technology or practice into high value products and systems. Unfortunately the process is not highly valued within the research oriented University environment. At the same time government innovation policy is rooted in models better suited to the review of projects as opposed to systems or products; the value structure being biased towards discovery, (and perhaps use). The author attempts to describe the structure of typical design activities and using this model proposes simple metrics to allow the assessment of design content within research and development proposals.


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