scholarly journals Employing Simulation to Study the Role of Design Structure Matrix in Reducing Waste in Design

2018 ◽  
Author(s):  
Salam Khalife ◽  
Bahaa Eddine Mneymneh ◽  
Amena Tawbe ◽  
Mohamad Hilal Chatila ◽  
Farook Hamzeh
Author(s):  
Katja Ho¨ltta¨-Otto ◽  
Olivier de Weck

The central role of modularity is becoming more and more apparent in design of complex products and systems. The question frequently arises how modularity can be measured. To better understand the degree of modularity, we developed two metrics based on a design structure matrix (DSM). The non-zero fraction (NZF) captures the coupling density of interconnections between components, while the singular value modularity index (SMI) measures the degree of modularity. Both metrics yield values between 0 and 1. These metrics are applied to 15 systems and products. We show that real products typically have NZF values between 0.05 and 0.4 and an SMI between 0.05 (very integral) and 0.95 (very modular). A randomly generated DSM population of equal size and density exhibits SMI values that are bounded in the range from 0.25 to 0.45. We conclude that neither a high degree of modularity nor strong integrality occurs accidentally; but are the result of deliberate design. In particular, we show a more integral design will emerge if a functionally-equivalent product is designed to be portable. The main advantage of SMI is that it enables analysis of the degree of modularity of any product or system independent of subjective module choices.


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

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