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Introduction to Engineering Informatics

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Semantic Modeling and Interoperability in Product and Process Engineering

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

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Abstract

This work offers a panorama view about a new engineering science discipline: Engineering Informatics. Engineering informatics is an applied information science sub-domain that is scoped to address the information technology (IT) knowledge, methods, models, and algorithms that support engineering and management activities ranging from customer requirements to design and production operations. In this work, a number of key application areas of engineering informatics are analyzed, i.e. product development, measuring product development performance, and concurrent and collaborative engineering. In addition, a special engineering informatics application domain, chemical engineering, is reviewed in order to illustrate an industry-specific scenario. Two fundamental technologies of engineering informatics, object-oriented (OO) software engineering and semantic modeling, are briefly introduced.

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References

  1. Abbott KR, Sarin SK (1994) Experiences with workflow management: issues for the next generation. In: Proceedings of ACM CSCW 84, Chapel Hill, North Carolina, USA

    Google Scholar 

  2. Adams M (2004) Comparative performance assessment study. In: Proceedings of the presentation at the comparative performance assessment conference, PDMA Foundation

    Google Scholar 

  3. Aspentech (2012) http://www.aspentech.com/

  4. Babcock B, Babu S, Datar M, Motwani R, Widom J (2002) Models and issues in data stream systems. In: Proceedings of ACM PODS, Madison, Wisconsin, USA

    Google Scholar 

  5. Bae J, Kim J (2011) Product development with data mining techniques: a case on design of digital camera. Expert Syst with Appl 38:9274–9280

    Article  Google Scholar 

  6. Berkeley (2012) http://best.berkeley.edu/~pps/pps/concurrent.html

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

    Article  Google Scholar 

  8. Bronsvoort WF, Noort A (2004) Multiple-view feature modeling for integral product development. Comput Aided Des 36:929–946

    Article  Google Scholar 

  9. Cai M, Zhang WY, Chen G, Zhang K, Li ST (2010) SWMRD: a semantic web-based manufacturing resource discovery system for cross-enterprise collaboration. Int J Prod Res 48:3445–3460

    Article  Google Scholar 

  10. Chan FTS, Zhang J (2001) Modeling for agile manufacturing systems. Int J Prod Res 39:2313–2332

    Article  Google Scholar 

  11. Chen G, Ma YS, Thimm G et al (2006) Associations in a unified feature modeling scheme. ASME Trans J Comput Inf Sci Eng 6:114–126

    Article  Google Scholar 

  12. Contea E, Gania R, Malikb TI (2011) The virtual product-process design laboratory to manage the complexity in the verification of formulated products. Fluid Phase Equilib 302:294–304

    Article  Google Scholar 

  13. Driva H, Pawar KS, Menon U (2000) Measuring product development performance in manufacturing organizations. Int J Prod Econ 63:147–159

    Article  Google Scholar 

  14. D’Souza DF, Wills AC (1999) Objects, components, and frameworks with UML—the catalysisSM approach. Addison Wesley Longman, Reading, Massachusetts

    Google Scholar 

  15. Geelink R, Salomons OW, van Slooten F, van Houten F, Kals HJJ (1995) Unified feature definition for feature based design and feature based manufacturing. In Busnaina A (ed) Comput in Eng, ASME Conf., 517–533

    Google Scholar 

  16. Georgakopoulos D, Hornick M, Sheth A (1995) An overview of workflow management: from process modeling to workflow automation infrastructure. Distrib Parallel Databases 3:119–153

    Article  Google Scholar 

  17. Hanis T, Noller D (2012) The role of semantic models in smarter industrial operations. IBM DeveloperWorks. http://www.ibm.com/developerworks/industry/library/ind-semanticmodels/ind-semanticmodels-pdf.pdf. Accessed 18 Nov 2012

  18. Herder PM, Weijnen MPC (2000) A concurrent engineering approach to chemical process design. Int J Prod Econ 64:311–318

    Article  Google Scholar 

  19. Intergraph (2012) http://www.intergraph.com/

  20. Jouini BM (2004) Time-to-market vs. time-to-delivery: managing speed in engineering, procurement and construction projects. Int J Proj Manag 25:359–367

    Article  Google Scholar 

  21. Kima J, Prattb M, Iyer RG et al (2008) Standardized data exchange of CAD models with design intent. Comput Aided Des 40:760–777

    Article  Google Scholar 

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

    Article  Google Scholar 

  23. Lee SH (2005) A CAD–CAE integration approach using feature-based multi-resolution and multi-abstraction modeling techniques. Comput Aided Des 37:941–955

    Article  Google Scholar 

  24. Leibrecht S, van Pham T, Anderl R (2004) Techniques for the integration of expert knowledge into the development of environmentally sound products. J Eng Des 15:353–366

    Article  Google Scholar 

  25. Lohtander M, Varis J (2007) Manufacturing features in cutting shapes and punching holes in sheet metal. In: Proceedings of the 19th international conference on production research, Valparaiso, Chile

    Google Scholar 

  26. Ma YS, Bong CH (2010) Fine grain associative feature reasoning in collaborative engineering. Int J Comp Appl Technol 37:210–216

    Article  Google Scholar 

  27. Ma YS, Hadi Q (2012) Unified feature based approach for process system design. Int J Comp Integr Manuf 25:263–279

    Article  Google Scholar 

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

    Article  Google Scholar 

  29. Ma YS, Chen G, Thimm G (2008) Paradigm shift: unified and associative feature-based concurrent and collaborative engineering. J Intell Manuf 19:626–641

    Article  Google Scholar 

  30. Marion TJ, Simpson T (2009) New product development practice application to an early-stage firm. Des Stud 30:256–587

    Article  Google Scholar 

  31. Marion TJ, Friar JH, Simpson TW (2012) New product development practices and early-stage firms: two in-depth case studies. J Prod Innov Manag 29:639–654

    Article  Google Scholar 

  32. McCarthy IP, Tsinopoulos C, Allen P, Rose-Anderssen C (2006) New product development as a complex adaptive system of decisions. J Prod Innov Manag 23:437–456

    Article  Google Scholar 

  33. Melton T (2005) The benefits of lean manufacturing—what lean thinking has to offer the process industries. Trans IChemE Part A, Chem Eng Res Des 83:662–673

    Article  Google Scholar 

  34. 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 

  35. Nagy RL, Ullman DG, Dietterich TG (1992) A data representation for collaborative mechanical design. Res Eng Des 3:233–242

    Article  Google Scholar 

  36. Nasab HH, Bioki TA, Zare HK (2012) Finding a probabilistic approach to analyze lean manufacturing. J Clean Prod 29–30:73–81

    Article  Google Scholar 

  37. Ohno T (1988) Toyota production system. Productivity Press, Portland

    Google Scholar 

  38. Park J, Yang S (2008) Collaborative engineering and product quality assurance based on integrated engineering information management. In: Proceedings of international conference on smart manufacturing application

    Google Scholar 

  39. Ramaraj E, Duraisamy S (2007) Design optimization metrics for UML based object-oriented systems. Int J Softw Eng Knowl Eng 17:423–448

    Article  Google Scholar 

  40. Renner A (2001) XML data and object databases: a perfect couple. In: Proceedings of the 17th international conference on data engineering, IEEE, Heidelberg, Germany

    Google Scholar 

  41. Siemens (2012) http://www.plm.automation.siemens.com/

  42. Sohlenius G (1992) Concurrent engineering. CIRP Ann Manuf Technol 41:645–655

    Article  Google Scholar 

  43. Stage-Gate (2012) Measuring and improving product development performance and practices. http://www.stage-gate.eu/article-how-to-measure-innovation.asp. Accessed 18 Nov 2012

  44. STEP application handbook ISO 10303 Version 3. 30 Jun 2006

    Google Scholar 

  45. Sun Microsystem Inc. (2012) Java shared data toolkit API 2.0. http://java.sun.com/products/java-media/jsdt/. Accessed 28 Aug 2012

  46. Thimm G, Lee SG, Ma YS (2006) Towards unified modeling of product life-cycles. Comput Ind 57:331–341

    Article  Google Scholar 

  47. Thomas S (2001) Managing quality: an integrative approach. Prentice Hall, New Jersey

    Google Scholar 

  48. Tornincasa S, Di Monaco F (2010) The future and the evolution of CAD. In: Proceedings of 14th international research/expert conference: trends in the development of machinery and associated technology

    Google Scholar 

  49. Ulrich K, Eppinger S (2011) Product design and development. http://www.ulrich-eppinger.net/

  50. Vranic V (2004) Reconciling feature modeling: a feature modeling metamodel. In: Proceedings of net object days, pp. 122–137

    Google Scholar 

  51. Wang H, Xiang D, Duan G et al (2007) Assembly planning based on semantic modeling approach. Comput Ind 58:227–239

    Article  Google Scholar 

  52. Wang J, Tang MX (2007) Product data modeling for design collaboration. In: Proceedings of 11th international conference on computer supported cooperative work in design

    Google Scholar 

  53. Wang Q, Ren Z (2010) XML-based data processing in network supported collaborative design. Int J Autom Comput 7:330–335

    Article  Google Scholar 

  54. Westphal CR, Blaxton T (1998) Data mining solutions: methods and tools for solving real-world problems. Wiley, New York

    Google Scholar 

  55. 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 

  56. Womack JP, Jones DT, Roos D (1990) The machine that changed the world. Free Press, New York

    Google Scholar 

  57. Womack JP, Daniel TJ (2003) Lean thinking. Free Press, New York

    Google Scholar 

  58. Yeo KT, Ning JH (2002) Integrating supply chain and critical chain concepts in engineer-procure-construct (EPC) projects. Int J Proj Manag 20:253–262

    Article  Google Scholar 

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

    Article  Google Scholar 

  60. Zhang L (2009) Modelling process platforms based on an object-oriented visual diagrammatic modeling language. Int J Prod Res 47:4413–4435

    Article  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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© 2013 Springer-Verlag London

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Sajadfar, N., Xie, Y., Liu, H., Ma, YS. (2013). Introduction to Engineering Informatics. 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_1

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  • DOI: https://doi.org/10.1007/978-1-4471-5073-2_1

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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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