Using an Engineering Change Propagation Method to Support Aircraft Assembly Tooling Design

Author(s):  
Dun-bing Tang ◽  
Lei-lei Yin
Author(s):  
Robert Wilms ◽  
David Inkermann ◽  
Vadym Finn Cemmasson ◽  
Michael Reik ◽  
Thomas Vietor

AbstractEngineering Changes (ECs) are substantial elements of the design process of technical products and are in particular relevant for companies due to enormous additional costs and time delays they can cause. In order to better understand ECs and realize efficient Engineering Change Management (ECM), different approaches exist. One aspect of ECM are change propagation analysis, which try to analyze knock-on effects of an EC on other product elements or the development process. How ECs can propagate is in particular difficult to assess for complex products realized within different engineering domains (mechanical, electrical and software engineering). To address this challenge, ECs are classified, strategies to cope with ECs are presented and change propagation approaches are analyzed in this paper. Thereby a lack of indicators for cross-domain propagation is identified. To overcome this issue, the distinction of domain-specific and cross-domain linkage types is proposed and a set of linkage types is presented. Further research is motivated to integrate these linkage types in product models while also considering processes and organizational structures as additional dimensions of ECM.


Author(s):  
Leilei Yin ◽  
Quan Sun ◽  
Youxiong Xu ◽  
Li Shao ◽  
Dunbing Tang

Abstract Nowadays customer demand for satisfactory product developed in limited time is rapidly posing a major challenge to product design and more distributed products are developed to address these concerns. In the distributed product design, engineering change (EC) is an inevitable phenomenon and consumes much production time. It is necessary to assess the design change effectively in advance. Some methods and tools to predict and analyze the change propagation influence have been provided. From the perspective of design change duration, our work extends the method of assessing design change by incorporating risk factors from different working groups in multiple design sites, functional maintenance during the change propagation. The primary result of this work is the provision of a design support to acquire the optimal design change scheme by estimating the duration. In this paper, risk factor of distributed design is applied to the influence evaluation of change propagation, which implies an increase of change propagation influence due to the varying levels of expertise, possible lack of communication. Besides, a deterministic simulation model is proposed to assess the change propagation schemes. The model combines the effects of design change parallelism, iteration, change propagation for the distributed product design. Based on the simulation results, a more focused discussion and identification of suitable design change schemes can be made. A case study of an assembly tooling for the reinforced frame is implemented to demonstrated how the developed method can be applied. Finally, the method is initially discussed and evaluated.


2012 ◽  
Vol 134 (10) ◽  
Author(s):  
Bahram Hamraz ◽  
Nicholas H. M. Caldwell ◽  
P. John Clarkson

Engineering change (EC) is a source of uncertainty. While the number of changes to a design can be optimized, their existence cannot be eliminated. Each change is accompanied by intended and unintended impacts both of which might propagate and cause further knock-on changes. Such change propagation causes uncertainty in design time, cost, and quality and thus needs to be predicted and controlled. Current engineering change propagation models map the product connectivity into a single-domain network and model change propagation as spread within this network. Those models miss out most dependencies from other domains and suffer from “hidden dependencies”. This paper proposes the function-behavior-structure (FBS) linkage model, a multidomain model which combines concepts of both the function-behavior-structure model from Gero and colleagues with the change prediction method (CPM) from Clarkson and colleagues. The FBS linkage model is represented in a network and a corresponding multidomain matrix of structural, behavioral, and functional elements and their links. Change propagation is described as spread in that network using principles of graph theory. The model is applied to a diesel engine. The results show that the FBS linkage model is promising and improves current methods in several ways: The model (1) accounts explicitly for all possible dependencies between product elements, (2) allows capturing and modeling of all relevant change requests, (3) improves the understanding of why and how changes propagate, (4) is scalable to different levels of decomposition, and (5) is flexible to present the results on different levels of abstraction. All these features of the FBS linkage model can help control and counteract change propagation and reduce uncertainty and risk in design.


2020 ◽  
Vol 1 ◽  
pp. 1165-1174
Author(s):  
R. Wilms ◽  
P. Kronsbein ◽  
D. Inkermann ◽  
T. Huth ◽  
M. Reik ◽  
...  

AbstractEngineering changes (ECs) and engineering change management (ECM) are crucial for successful product design processes (PDP). Due to the increasing complexity of today's products (like vehicles) and the interaction of different engineering domains (mechanics, electric/electronics, software) involved in the PDP, cross-domain EC impact assessments as well as processes are required. To better support engineers in assessing change propagation across domains and products, existing approaches for ECM product models are analyzed in this paper and an enhanced product model is derived using MBSE.


2012 ◽  
Vol 542-543 ◽  
pp. 285-288
Author(s):  
Yong Ze Fang ◽  
Xiao Xi Guo ◽  
Jian Hai Chen

An engineering change is costly and time consuming. Therefore, the research of effective methods and software is highly significant to engineering change analysis. This paper has conducted research on the engineering change analysis method and decision support environment. The characteristics of an engineering change were demonstrated; the data model was set up for supporting engineering change analysis; the method for analyzing engineering change propagation was proposed. The multi-user dynamic analysis of an engineering change and storage of the engineering change scheme with reusability were achieved in this paper. According to the results, the research shows more flexible and efficient to analyze engineering changes and further assure the completeness of changed data.


2018 ◽  
Vol 30 (1) ◽  
pp. 3-13 ◽  
Author(s):  
Hafiz Eisa ◽  
Andreas Garstenauer ◽  
Timothy Blackburn

2012 ◽  
Vol 23 (4) ◽  
pp. 329-351 ◽  
Author(s):  
Edwin C. Y. Koh ◽  
Nicholas H. M. Caldwell ◽  
P. John Clarkson

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