@article{Mun2010,
abstract = {When existing parts are re-used for the development of a new product or business-to-business transactions, a method for searching parts from a database that best meet user’s requirements is essential. The core of a part search method is to measure the similarity between parts’ specifications and the user’s input data in an efficient manner. In this paper, the authors suggest a new method for part similarity measurement using ontology and multi-criteria decision making (MCDM) technique and discuss its technical details. This method ensures interoperability with existing engineering information management systems, represents part specifications in a formal manner, and has generality in search procedure. A case study with ejector pins has also been conducted for the demonstration of the proposed method.},
author = {Mun, D},
journal = {Advanced Engineering Informatics},
keywords = {SML-LIB-BIBLIO,lang:ENG},
mendeley-tags = {SML-LIB-BIBLIO,lang:ENG},
publisher = {Elsevier},
title = {{Knowledge-based part similarity measurement utilizing ontology and multi-criteria decision making technique}},
url = {http://www.sciencedirect.com/science/article/pii/S1474034610000704},
year = {2010}
}