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A Review of Data Representation of Product and Process Models

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Semantic Modeling and Interoperability in Product and Process Engineering

Part of the book series: Springer Series in Advanced Manufacturing ((SSAM))

Abstract

Engineering product and process models are essential for the success of the implementation of IT systems in manufacturing companies. They need to have commonly recognized, unified, and global definitions of product entities and process resources and also can be interpreted by various computer programs. For product modeling, four classes of modeling methods are reviewed, i.e., solid product modeling, feature-based product modeling, knowledge-based product modeling, and integrated product modeling. For process modeling, an example application, i.e., chemical process engineering is discussed first to appreciate the modeling elements and constraints. Then a few generic engineering processes, such as engineering change management, are reviewed.

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References

  1. Anderson RA, Ingram DS, Zanier AM (1973) Determining fracture pressure gradients from well logs. J Pet Technol 25:1259–1268

    Google Scholar 

  2. Bidarra R, Bronsvoort WF (2000) Semantic feature modeling. Comput Aided Des 32:201–225

    Article  Google Scholar 

  3. Bohm MR, Stone RB, Simpson TW, Steva ED (2008) Introduction of a data schema to support a design repository. Comput Aided Des 40:801–811

    Article  Google Scholar 

  4. Bronsvoort WF, Bidarra R, van der Meiden HA et al (2010) The increasing role of semantics in object modeling. Comput Aided Des Appl 7:431–440

    Google Scholar 

  5. Chen YM, Wei CL (1997) Computer-aided feature-based design for net shape manufacturing. Comput Integr Manuf Syst 10:147–164

    Article  Google Scholar 

  6. Dey D (2003) Record matching in data warehouses: a decision model for data consolidation. Oper Res 51:240–254

    Article  MathSciNet  MATH  Google Scholar 

  7. Do N, Choi IJ (2008) Propagation of engineering changes to multiple product data views using history of product structure changes. Int J Comput Integr Manuf 21:19–32

    Article  Google Scholar 

  8. Do N, Choi IJ, Jang MK (2002) A structure-oriented product data representation of engineering changes for supporting integrity constraints. Int J Adv Manuf Technol 20:564–570

    Article  Google Scholar 

  9. Hwang J, Mun D (2009) Representation and propagation of engineering change information in collaborative product development using a neutral reference model. Concurrent Eng 17:147

    Article  Google Scholar 

  10. Kapuscinski R, Zhang RQ, Carbonneau P, Moore R, Reeves B (2004) Inventory decisions in Dell’s supply chain. Interfaces 34:191–205

    Article  Google Scholar 

  11. Kim W, Seo J (1991) Classifying schematic and data heterogeneity in multidatabase systems. IEEE Comput 24:2–18

    Article  Google Scholar 

  12. Körtgen A, Nagl M (2011) Tools for consistency management between design products. Comput Chem Eng 35:724–735

    Article  Google Scholar 

  13. Kovacs G, Kopacsi S, Haidegger G, Michelini R (2006) Ambient intelligence in product lifecycle management. Eng Appl Artif Intell 19:953–965

    Article  Google Scholar 

  14. Liang J, Shah JJ, D’Souza R et al (1999) Synthesis of consolidated data schema for engineering analysis from multiple STEP application protocols. Comput Aided Des 31:429–447

    Article  MATH  Google Scholar 

  15. Ludwig EE (1964) Applied process design for chemical and petrochemical plants, vol 1. Gulf Publishing Company, Houston

    Google Scholar 

  16. Ma YS (2009) Towards semantic interoperability of collaborative engineering in oil production industry. Concurrent Eng 17:111–119

    Article  Google Scholar 

  17. Ma YS, Tong T (2003) Associative feature modeling for concurrent engineering integration. Comput in Ind 51:51–71

    Article  Google Scholar 

  18. Ma YS, Tang SH, Au CK, Chen JY (2009) Collaborative feature-based design via operations with a fine-grain product database. Comput in Ind 60:381–391

    Article  Google Scholar 

  19. Marri HB, Gunasekaran A, Grieve RJ (1998) An investigation into the implementation of computer integrated manufacturing in small and medium enterprises. Int J Adv Manuf Technol 14:935–942

    Article  Google Scholar 

  20. Marsh GL, Smith JR (1984) Exploratory well design for 5,000- to 7,500-Ft water depths U.S. East Coast. Offshore Technology Conference, Houston. ISBN 978-1-61399-077-3

    Google Scholar 

  21. Morbach J, Yang A, Marquardt W (2007) OntoCAPE: a large-scale ontology for chemical process engineering. Eng Appl Artif Intell 20:147–161

    Article  Google Scholar 

  22. Murphy RM (2007) Introduction to chemical process: principles, analysis, synthesis. McGraw-Hill, New York

    Google Scholar 

  23. Olsen GR, Cutkosky M, Tenenbaum JM, Gruber TR (1995) Collaborative engineering based on knowledge sharing agreements. Concurrent Eng 3:145–159

    Article  Google Scholar 

  24. Palmonari M, Viscusi G, Batini C (2008) A semantic repository approach to improve the government to business relationship. Data Knowl Eng 65:485–511

    Article  Google Scholar 

  25. Patent Application Publication (2007) United States, Pub No: US2007/0022081 A1, Pub Date 25 Jan 2007

    Google Scholar 

  26. Peng TK, Trappey A (1998) A step toward STEP compatible engineering data management: the data models of product structure and engineering changes. Robot Comput Integr manuf 14:89–109

    Article  Google Scholar 

  27. ProSTEP iViP ECM Implementor Forum (2012). http://www.prostep.org/fileadmin/freie_downloads/Empfehlungen-Standards/ProSTEP_iViP/ProSTEP-iViP_Recommendation_Engineering-Change-Management_Engineering-Change-Order_3-2_0.9.pdf. Accessed 23 Aug 2012

  28. Rachuri S, Subrahmanian E, Bouras A, Fenves SJ, Foufou S, Sriram RD (2008) Information sharing and exchange in the context of product lifecycle management: role of standards. Comput Aided Des 40:789–800

    Article  Google Scholar 

  29. Rishe N (1992) Database design: semantic modeling approach. McGraw-Hill, New York

    MATH  Google Scholar 

  30. SASIG ECM group (2006). http://www.sasig.com/site. Accessed 23 August 2012

  31. Sen A, Jacob VS (1998) Industrial-strength data warehousing. Commun ACM 41:28–31

    Article  Google Scholar 

  32. Shah JJ, Mantyla M (1995) Parametric and feature-based CAD/CAM concepts, techniques and applications. Wiley-Interscience, New York

    Google Scholar 

  33. Shyamsundar N, Gadh R (2002) Collaborative virtual prototyping of product assemblies over the internet. Comput Aided Des 34:755–768

    Article  Google Scholar 

  34. Stuckenschmidt H, Harmelen FV (2005) Information sharing on the semantic web. Springer, New York

    MATH  Google Scholar 

  35. Tang SH (2007) The investigation for a feature-oriented product database. PhD thesis, School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore

    Google Scholar 

  36. Thomas CE (2007) Process technology equipment and systems, 2nd edn. Cengage Learning, Delmar

    Google Scholar 

  37. Uddin MM, Ma YS (2011) Towards a feature-based and fine-grain product repository for heterogeneous computer-aided systems. In: 4th international conference on changeable, agile, reconfigurable and virtual production (CARV2011), Montreal, Canada

    Google Scholar 

  38. Uschold M, Gruninger M (1996) Ontologies: principles, methods and applications. Knowl Eng Rev 11:93–155

    Article  Google Scholar 

  39. Wang H, Xiang D, Duan G et al (2007) Assembly planning based on semantic modeling approach. Comput Ind, pp 227–239

    Google Scholar 

  40. Wiesner A, Morbach J, Marquardt W (2011) Information integration in chemical process engineering based on semantic technologies. Comput Chem Eng 35:692–708

    Article  Google Scholar 

  41. Yang J, Goltz M, Han S (2004) Parameter-based engineering changes for a distributed engineering environment. Concurrent Eng: Res Appl 12:275–286

    Article  Google Scholar 

  42. Yang WZ, Xie SQ, Ai QS, Zhou ZD (2008) Recent development on product modelling: a review. Int J Prod Res 46:6055–6085

    Article  MATH  Google Scholar 

  43. You CF, Tsou PJ (2007) Collaborative design for an assembly via the internet. Adv Manuf Technol 31:1217–1222

    Article  Google Scholar 

  44. You CF, Yeh SC (2002) Engineering change propagation system using STEP. Concurrent Eng 10:349

    Article  Google Scholar 

  45. Zamite J, Silva F, Couto F, Silva MJ (2010) MEDCollector: multisource epidemic data collector. In: Proceedings of the 1st International Conference on Information Technology in Bio- and Medical Informatics

    Google Scholar 

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Authors and Affiliations

  1. Department of Mechanical Engineering, University of Alberta, Edmonton, AB T6G 2G8, Canada

    Narges Sajadfar, Yanan Xie, Hongyi Liu & Y.-S. Ma

Authors
  1. Narges Sajadfar
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  2. Yanan Xie
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  3. Hongyi Liu
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  4. Y.-S. Ma
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Corresponding author

Correspondence to Y.-S. Ma .

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Editors and Affiliations

  1. , Department of Mechanical Engineering, University of Alberta, Mechanical Engineering Building 4-9, Edmonton, T6G 2N8, Canada

    Yongsheng Ma

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Sajadfar, N., Xie, Y., Liu, H., Ma, YS. (2013). A Review of Data Representation of Product and Process Models. In: Ma, Y. (eds) Semantic Modeling and Interoperability in Product and Process Engineering. Springer Series in Advanced Manufacturing. Springer, London. https://doi.org/10.1007/978-1-4471-5073-2_2

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  • DOI: https://doi.org/10.1007/978-1-4471-5073-2_2

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-5072-5

  • Online ISBN: 978-1-4471-5073-2

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