Formalizing Manufacturing Process Modeling Using Composition Trees

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Title Formalizing Manufacturing Process Modeling Using Composition Trees
Author Wen, Larry; Tuffley, David
Journal Name Advanced Materials Research
Year Published 2012
Place of publication Switzerland
Publisher Trans Tech Publications
Abstract Optimizing manufacturing process modeling is critical to improving the efficiency and quality of manufacturing. However, manufacturing processes in general can be very complicated. A manufacturing process may involve (a) transforming a material into a new form, (b) combining different materials to form a new object, and (c) retrieving a certain part from a material as a new entity. All those activities could be confusing because many intermediate objects that exist only for a short period during the manufacturing process may have no formal names. To solve this problem, this paper proposes that composition trees (CT) can be successfully used to model manufacturing processes. Composition trees are parts of the formal notation in behavior engineering (BE), which is an innovative approach to the development of large software systems. For a composition tree, its characteristics of being intuitive, expressive and formal give it many advantages over other formal and informal modeling languages in software engineering. This paper uses a cooking case study to demonstrate how to use a composition tree model manufacturing processes. It is argued that the method could be applied to process engineering to good effect.
Peer Reviewed Yes
Published Yes
Alternative URI http://dx.doi.org/10.4028/www.scientific.net/AMR.399-401.1852
Copyright Statement Copyright 2012 Trans Tech Publications. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.
Volume 399-401
Page from 1852
Page to 1855
ISSN 1022-6680
Date Accessioned 2011-12-16
Language en_US
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Engineering Practice
URI http://hdl.handle.net/10072/45885
Publication Type Journal Articles (Refereed Article)
Publication Type Code c1

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