Premium
8.3.1 Increasing the value of model‐assisted communication: Modeling for understanding, exploration and verification in production line design projects
Author(s) -
Stalsberg Bjørn,
Muller Gerrit
Publication year - 2014
Publication title -
incose international symposium
Language(s) - English
Resource type - Journals
ISSN - 2334-5837
DOI - 10.1002/j.2334-5837.2014.tb03184.x
Subject(s) - computer science , production (economics) , process (computing) , phase (matter) , aerospace , value (mathematics) , visualization , simulation modeling , industrial engineering , engineering , artificial intelligence , machine learning , chemistry , organic chemistry , economics , macroeconomics , microeconomics , aerospace engineering , operating system
Modeling and visualization is a common tool in the systems engineering process used to validate assumptions, increase understanding, synchronize views, and support decisions. The architect can apply models to support different purposes through all phases of a project. In this paper, we analyze model usage in production line improvement projects at GKN Aerospace Norway (GAN). We apply modeling in the understanding phase, exploration phase and verification phase of various projects. Our goal is to identify factors in the applied models that affect the models' success rate. Further, we explore how the importance of the identified factors varies in the different modeling phases. We also discuss how much effort the architect should invest in model creation. Among the impact factors we discuss are: a models ability to be instantly edited , visual attributes like how close to reality the model appears, a model's level of details and assumptions , and how personally relevant the model content is. Observations and feedback captured during this study indicate how the importance of each identified impact factor varies relative to the modeling phase. We also suggest that the resources spent on model creation should be in accordance with the intended value of the output from the model. By understanding how and when to use the impact factors discussed in this study, the architect will be better suited to make the proper design choices during model creation, and be able to provide more effective model‐assisted communication.