scholarly journals A Method for Evaluating Manufacturing Change in Engineering Design

Author(s):  
Christopher Brooks ◽  
Gregory M. Mocko

This paper details a method of change prediction that builds upon the traditional component-component design structure matrix by incorporating manufacturing costs and modeling higher orders of coupling. A coupling index is also created to assess the level of coupling between interfaced features. A BMW X5 headliner assembly and a Ryobi hand-held drill are analyzed using the proposed method to identify the features and components that offer the greatest ease of change. The analysis of the BMW X5 headliner shows that the rectangular slots on the bottom of the adapter plates are the feature that offers the greatest ease of change, while the handles are the component that offers the greatest ease of change. For the Ryobi drill, the battery is identified as the component that offers the greatest ease of change. The proposed method of change prediction proves to be an effective and efficient means of modeling change propagation and assessing change impact.

2017 ◽  
Vol 139 (12) ◽  
Author(s):  
Inayat Ullah ◽  
Dunbing Tang ◽  
Qi Wang ◽  
Leilei Yin

Product family (PF) design is a widely used strategy in the industry, as it allows meeting diverse design requirements. Change propagation in any PF is difficult to predict. Consequently, while numerous design change management methodologies presently exist, their application is restricted to a single artifact. This issue is overcome in the present study. The proposed framework explores effective change propagation paths (CPPs) by considering the risks associated with design changes in the PF with the aim of minimizing the overall redesign cost. The propagated risk, which would result in rework, is quantified in terms of change impact and propagation likelihood. Moreover, a design structure matrix (DSM) based mathematical model and an algorithm for its implementation are proposed to investigate the change propagation across the PF. Finally, to demonstrate their effectiveness, a PF of electric kettles is examined in a case study. The study findings confirm that the proposed technique is appropriate for evaluating different CPPs in PF.


Author(s):  
Kayla A. Von Hagel ◽  
Scott M. Ferguson

The Change Prediction Method is an approach that has been proposed in the literature as a way to assess the risk of change propagation. This approach requires experts to define the elements of the design structure matrix and provide both impact and likelihood values for each subsystem interaction. The combined risk values produced by the Change Prediction Method indicate where high probabilities of propagation may exist, but the results rely heavily on the supplied expert data. This study explores how potential variability in expert data impacts the rank order of returned risk values from the Change Prediction Method. Results are presented that indicate significant changes in rank order, highlighting both the importance of expert data accuracy and the insights that can be gained from the Change Prediction Method as a design tool.


Author(s):  
Ying Xiang ◽  
Rong Mo ◽  
Hu Qiao

A change and maintenance method is proposed based on the change propagation model and the procedure model information for solving data maintenance problem of 3D machining procedure model change and to help improve the flexibility of 3D machining procedure model and the reliability of the change result. Design Structure Matrix (DSM) is established by analyzing the relationships between machining features in the machining process route to obtain all possible propagation paths. On the basis of obtained paths, machining features that may be affected and machining procedure models related to machining features are stored by the structured method. Algorithms to solve the problems of adding, deleting and modifying machining features are proposed to realize the change and maintenance of 3D machining procedure model by combining machining procedure model’s information in the machining process route. In the end, some numerical examples are given to explain both rationality and feasibility of the proposed approaches.


Author(s):  
Inayat Ullah ◽  
Dunbing Tang ◽  
Leilei Yin ◽  
Ishfaq Hussain ◽  
Qi Wang

Design projects have been surrounded by tight schedule and cost overruns. Therefore, it is indispensable to resolve the design changes in an economical way. This work introduces an advanced technique to assess and optimize change propagation paths for multiple change requirements occurring simultaneously during the product development process. A novel multiple change requirement algorithm and a mathematical model considering the overall propagated risk are developed, to explore cost-effective change propagation paths in terms of lead time. The risk is quantified with regard to propagation likelihood and change impact, which results in re-work. Design structure matrix framework is used to capture the dependencies between components. It is revealed that the change requirements execution sequence has a significant effect on the total number of change propagation paths, change steps, distinct change components, and completion time. This approach is illustrated by a case study, which indicates that the proposed methodology can assist the designer in exploring and selecting optimal change propagation paths.


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.


Author(s):  
Xianfu Cheng ◽  
Zhihu Guo ◽  
Xiaotian Ma ◽  
Tian Yuan

Modular design is a widely used strategy that meets diverse customer requirements. Close relationships exist between parts inside a module and loose linkages between modules in the modular products. A change of one part or module may cause changes of other parts or modules, which in turn propagate through a product. This paper aims to present an approach to analyze the associations and change impacts between modules and identify influential modules in modular product design. The proposed framework explores all possible change propagation paths (CPPs), and measures change impact degrees between modules. In this article, a design structure matrix (DSM) is used to express dependence relationships between parts, and change propagation trees of affected parts within module are constructed. The influence of the affected part in the corresponding module is also analyzed, and a reachable matrix is employed to determine reachable parts of change propagation. The parallel breadth-first algorithm is used to search propagation paths. The influential modules are identified according to their comprehensive change impact degrees that are computed by the bat algorithm. Finally, a case study on the grab illustrates the impacts of design change in modular products.


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.


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