This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Product Data Quality and Collaborative Engineering
May/June 2002 (vol. 22 no. 3)
pp. 32-42
Manuel Contero, Polytechnic University of Valencia, Spain
Pedro Company, University of Castell?n, Spain
Carlos Vila, University of Castell?n, Spain
Nuria Aleixos, University of Castell?n, Spain

In this article, the authors analyze the impact of product data quality in the implementation of collaborative engineering in an extended enterprise framework. They also analyze the product data model as a key element for the product development process. The different views of this model are placed according to the fields where they apply. The importance of product model quality in the current status of data exchange standards is highlighted, with particular attention to ISO 10303 (STEP) new developments. Current state-of-art on data quality models and product data quality recommendations such as VDA 4955/2 and SASIG PDQ are also revised. Finally, the authors present their own product data quality model. This comprises three levels: morphological, syntactic, and semantic. Hence, it provides a tool for a better understanding of product data quality, which helps find solutions that avoid the interoperability problem.

1. R. de Graaf, Assessing Product Development, Visualizing Process and Technology Performance with RACE 2, PhD thesis, Faculty of Technology Management, Eindhoven Univ. of Technology, The Netherlands, 1996.
2. B. Prasad, Concurrent Engineering Fundamentals: Integrated Product Development, vols. 1 and 2, Prentice Hall, Upper Saddle River, N.J., 1996.
3. P. Klingstam and P. Gullander, "Overview of Simulation Tools for Computer-Aided Production Engineering," Proc. Advanced Summer Inst. (ASI 97), Advanced Summer Inst., Paris, 1997.
4. T. Bilgiç and D. Rock, "Product Data Management Systems: State-of-the-Art and the Future," Proc. ASME Design Engineering Technical Conf. (DETC 97), Am. Soc. Mechanical Eng., New York, 1997.
5. E. Miller, "Managing Product Data Throughout the Life Cycle," Computer-Aided Engineering, March 2000, http://www.plmsolutions-eds.com/publications/ articlescae_pdm/.
6. C.M. Hoffmann and R.J. Arinyo, "Distributed Maintenance of Multiple Products Views," Computer-Aided Design, vol. 32, no. 7, June 2000, pp. 421-431.
7. VDA Recommendation 4953, Part 1: Simplified CAD Drawing, German Assoc. Automotive Industry (VDA), Frankfurt, Germany, 1999.
8. M.S. Bloor and J. Owen, Product Data Exchange, UCL Press, London, UK, 1995.
9. Nat'l Inst. of Standards and Technology, Interoperatibility Cost Analysis of the US Automotive Supply Chain, Planning Report #99-1, NIST Strategic Planning and Economic Assessment Office, Gaithersburg, Md., 1999, http://www.nist.gov/director/prog-ofcreport99-1.pdf .
10. D. Trippner and M. Endres, "STEP—The Significance for the Designer," Product Data J., no. 2, 1998, pp. 13-15.
11. J.S.M. Vergeest and I. Horváth, "Where Interoperatibility Ends," Proc. 2001 Computers and Information in Eng. Conf. (DETC 01), Am. Soc. Mechanical Engineers, New York, 2001, http://dutoa36.io.tudelft.nl/docscie21233.pdf .
12. T. Phelps, "Extending Quality Concepts to Product Data," AIAG Actionline, vol. 19, no. 7, Aug. 1999, pp. 38-42.
13. D.P. Ballou and H.L. Pazer, "Modeling Data and Process Quality in Multi-input, Multi-output Information Systems," Management Science, vol. 31, no. 2, 1985, pp. 150-162.
14. G. Shanks and B. Corbitt, "Understanding Data Quality: Social and Cultural Aspects," Proc. 10th Australasian Conf. Information Systems, 1999, pp. 785-797, http://www.vuw.ac.nz/acis99/PapersPaperShanks-095.pdf .
15. Y. Wand and R.Y. Wang, "Anchoring Data Quality Dimensions in Ontological Foundations," Comm. ACM, vol. 39, no. 11, 1996, pp. 86-95.
16. VDA Recommendation 4955/2: Scope and Quality of CAD/CAM Data, German Assoc. Automotive Industry (VDA), Frankfurt, Germany, 1999.
17. C. Vila, M. Contero, and P. Company, "Extended Modelling, A Tool for Cooperative Design," Proc. 6th Int'l Conf. Concurrent Enterprising (ICE 2000), Center for Concurrent Enterprising, Univ. of Nottingham, Nottingham, UK, 2000, pp. 171-179.
18. R. Anderl and R. Mendgen, "Analyzing and Optimizing Constraint-Structures in Complex Parametric CAD Models," Geometric Constraint Solving and Applications, Springer-Verlag, Berlin, 1998.
1. R.J. Winner et al., The Role of Concurrent Engineering in Weapons System Acquisition, IDA R-338, Inst. for Defense Analyses, Alexandria, Va., 1988.
2. K.J. Cleetus, Definition of Concurrent Engineering (CERC Technical Report Series), CERC-TR-RN-92-003, Concurrent Eng. Research Center, West Virginia Univ., Morgantown, W. Va., 1992.
3. H. Bates and D. Twigg, "Outsourcing of Automotive Component Design," Proc. 30th Int'l Symp. Automotive Technology and Automation (ISATA 97), ISATA, Florence, 1997.
4. M. Hardwick and R. Bolton, "The Industrial Virtual Enterprise," Comm. ACM, vol. 40, no. 9, Sept. 1997, pp. 59-60.
5. K.D. Thoben and F. Weber, "Information and Communication Structures for Product Development in the Concurrent Enterprise: Requirements and Concepts," Proc. Ann. Conf. Intelligent Control and Integrated Manufacturing Systems Network of Excellence ICIMS-NOE (Advanced Summer Institute[ASI] 97), ICIMS-NOE, Budapest, 1997, pp. 460-467.
1. A. Ohtaka, "Parametrics: Present and Future," Proc. 5th Int'l Conf. Information Systems Analysis and Synthesis (ISAS 99), 1999, http://netlab.lmcc.fju.edu.tw/3rd/ISis0206.htm .

Citation:
Manuel Contero, Pedro Company, Carlos Vila, Nuria Aleixos, "Product Data Quality and Collaborative Engineering," IEEE Computer Graphics and Applications, vol. 22, no. 3, pp. 32-42, May-June 2002, doi:10.1109/MCG.2002.999786
Usage of this product signifies your acceptance of the Terms of Use.