Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Sign In to gain access to subscriptions and/or personal tools.
Concurrent Engineering
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Bayer, B.
Right arrow Articles by Marquardt, W.
Right arrow Search for Related Content
Social Bookmarking
 Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

A Comparison of Data Models in Chemical Engineering

B. Bayer

Lehrstuhl für Prozesstechnik, RWTH Aachen, D-52056 Aachen, Germany

W. Marquardt

Lehrstuhl für Prozesstechnik, RWTH Aachen, D-52056 Aachen, Germany marquardt{at}lpt.rwth-aachen.de

Several data models have been developed in the domain of chemical engineering as the basis of specialized computer-aided tools, for the exchange of data between different tools, or to obtain a better understanding of the domain in order to improve its work processes and to provide specific support functionalities. All these data models where developed independently from each other and for specific applications. Within this paper, a comparison of different chemical engineering data models, that are currently developed and used, is attempted. First some fundamentals of data modeling will be presented. General requirements of data models are given as well as requirements that are specific to chemical engineering. These requirements and the covered data scope build the basis for the discussion and comparison of the data models. Based on this analysis, open issues in data modeling are derived that need to be approached in order to obtain high quality data models as a basis for information management and support of concurrent engineering.

Key Words: product data model • information modeling • chemical engineering • STEP

Concurrent Engineering, Vol. 11, No. 2, 129-138 (2003)
DOI: 10.1177/1063293X03035371


Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?