Automation of change propagation analysis using functional analysis and a knowledge perspective Online publication date: Thu, 30-Apr-2020
by Haoqi Wang; Vince Thomson; Xiaoqi Zhang
International Journal of Product Lifecycle Management (IJPLM), Vol. 12, No. 2, 2019
Abstract: Managing the change process is a challenge as it impacts the time and cost to develop products. There are several, present methods that predict change propagation using a component view of a product. These methods have limitations when trying to automate them due to the large number of components and their relationships. This paper describes an automated method that determines change propagation by using a functional view of a product that deals with change propagation before product embodiment. The different types of knowledge that realise a function are used to specify the relationships among product functions. This greatly reduces the effort needed to perform change propagation analysis. Knowledge similarity between a changed function and other product functions is used to determine the functions that are possibly impacted by a change and to calculate the probability of change. The method is illustrated using a GE Hydro hydroelectric generator.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Product Lifecycle Management (IJPLM):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook