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Meta-model Driven Collaborative Object Analysis Process for Production Planning and Scheduling Domain

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Computational Science and Its Applications - ICCSA 2006 (ICCSA 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3984))

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Abstract

This paper presents a new object-oriented analysis process for creating reusable software components in production planning and scheduling domain. Our process called MeCOMA (Meta-Model Driven Collaborative Object Modeling Approach) is based on three meta-models: physical object meta-model, data object meta-model, and activity object meta-model. After the three meta-models are extended independently for a given production system, they are collaboratively integrated on the basis of an integration pattern. The main advantages of MeCOMA are (1) to reduce software development time and (2) to consistently build reusable production software components.

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References

  1. Adiga, S.: Object-Oriented Software for Manufacturing Systems. Chapman & Hall, Boca Raton (1993)

    Google Scholar 

  2. Doscher, D., Hodges, R.: SEMATECH’s experiences with the CIM framework. Communications of the ACM 40(10), 82–84 (1997)

    Article  Google Scholar 

  3. Eriksson, H.-E., Penker, M.: UML Toolkit. John Wiley & Sons, Chichester (1998)

    Google Scholar 

  4. Gamma, E., Helm, R., Johnson, R., Vlissides, J.: Design Patterns – Elements of Reusable Object-Oriented Software. Addison-Wesley, Reading (1994)

    Google Scholar 

  5. Jacobson, I., Griss, M., Jonsson, P.: Software Reuse: Architecture, Process and Organization for Business Success. Addison-Wesley, Reading (1997)

    Google Scholar 

  6. Jorysz, H.R., Vernadat, F.B.: CIM-OSA part 1: total enterprise modeling and function view. International Journal of Computer Integrated Manufacturing 3(3-4), 144–156 (1990)

    Article  Google Scholar 

  7. Jorysz, H.R., Vernadat, F.B.: CIM-OSA part 2: information view. International Journal of Computer Integrated Manufacturing 3(3-4), 157–167 (1990)

    Article  Google Scholar 

  8. Larman, C.: Applying UML and Patterns: An Introduction to Object-Oriented Analysis and Design and the Unified Process, 2nd edn. Prentice-Hall, Englewood Cliffs (2002)

    Google Scholar 

  9. Mak, K.L., Wong, S.T.W., Lau, H.Y.K.: An object-oriented rule-based framework for the specification of flexible manufacturing systems. Computers in Industry 39, 127–146 (1999)

    Article  Google Scholar 

  10. Mak, K.L., Lau, H.Y.K.: An object-oriented prototyping tool for automated manufacturing systems. Computers in Industry 43, 43–60 (2000)

    Article  Google Scholar 

  11. Scheer, A.-W.: ARIS – Business Process Frameworks, 3rd edn. Springer, Heidelberg (2000)

    Google Scholar 

  12. Yalcin, A., Namballa, R.K.: An object-oriented simulation framework for real-time control of automated flexible manufacturing systems. Computers & industrial engineering 48(1), 111–127 (2005)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Information and Industrial Engineering, Yonsei University, Sinchon-dong, Seodaemun-gu, Seoul, 120-749, Republic of Korea

    Chang Ouk Kim

  2. Department of Industrial Systems Engineering, Induk Institute of Technology, Wolgye-dong, Nowon-gu, Seoul, 139-749, Republic of Korea

    Jun-Geol Baek

  3. Department of Computer Science and Engineering, University of Connecticut, 371 Fairfield Road, Storrs, CT, 06269, USA

    Jin Jun

Authors
  1. Chang Ouk Kim
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  2. Jun-Geol Baek
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  3. Jin Jun
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Calgary,, 2500 University Drive N.W., T2N 1N4, Calgary, AB, Canada

    Marina L. Gavrilova

  2. Department of Mathematics and Computer Science, University of Perugia, via Vanvitelli, 1, I-06123, Perugia, Italy

    Osvaldo Gervasi

  3. William Norris Professor, Head of the Computer Science and Engineering Department, University of Minnesota, USA

    Vipin Kumar

  4. OptimaNumerics Ltd.,, Cathedral House 23-31 Waring Street, BT1 2DX, Belfast, UK

    C. J. Kenneth Tan

  5. Clayton School of IT, Monash University, 3800, Clayton, Australia

    David Taniar

  6. Department of Chemistry, University of Perugia, Via Elce di Sotto, 8, I-06123, Perugia, Italy

    Antonio Laganá

  7. School of Computing, Soongsil University, Seoul, Korea

    Youngsong Mun

  8. School of Information and Communication Engineering, Sungkyunkwan University, Korea

    Hyunseung Choo

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© 2006 Springer-Verlag Berlin Heidelberg

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Kim, C.O., Baek, JG., Jun, J. (2006). Meta-model Driven Collaborative Object Analysis Process for Production Planning and Scheduling Domain. In: Gavrilova, M.L., et al. Computational Science and Its Applications - ICCSA 2006. ICCSA 2006. Lecture Notes in Computer Science, vol 3984. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11751649_92

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  • DOI: https://doi.org/10.1007/11751649_92

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34079-9

  • Online ISBN: 978-3-540-34080-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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