NDLI: Managing diagrammatic models with different perspectives on product information

Content Provider	Springer Nature Link
Author	Haug, Anders
Copyright Year	2009
Abstract	In the context of engineering-oriented companies, a basic distinction can be made between the information needed during sales, engineering and manufacturing. When representing such information in diagrammatic models, these models will most often include both individual and shared content. For instance, during the sales phase, information about sales prices may be relevant, while this information is not relevant in the engineering and manufacturing phases, where, on the other hand, more detailed information about components and assembly is needed. However, such information models often share basic component definitions. Having this overlapping information across models means that when maintaining these, redundant work has to be carried out for the overlapping parts of the information. This, obviously, can be both time-consuming and a significant source of errors. In this paper, a modelling method for the management of diagrammatic models with different perspectives on product information is proposed. The aim of this method is to avoid redundant information across models, in order to reduce time needed for ensuring of consistency across models and minimize the chances of errors. The need for information models with different perspectives on the same product information is common in cases that involve design/redesign of complex products and/or the construction of product configurators. Besides a knowledge representation technique, the paper suggests two different solutions for software support, of which the application of one of these in an actual project is described.
Starting Page	811
Ending Page	822
Page Count	12
File Format	PDF
ISSN	09565515
Journal	Journal of Intelligent Manufacturing
Volume Number	21
Issue Number	6
e-ISSN	15728145
Language	English
Publisher	Springer US
Publisher Date	2009-03-11
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Conceptual models Product configuration Product design Knowledge representation Knowledge engineering Modularity Manufacturing, Machines, Tools Production/Logistics Control , Robotics, Mechatronics
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Artificial Intelligence Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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