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

  • Chang Ouk Kim
  • Jun-Geol Baek
  • Jin Jun
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3984)


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.


Data Object Physical Object Production Planning Coordination Activity Integration Pattern 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Chang Ouk Kim
    • 1
  • Jun-Geol Baek
    • 2
  • Jin Jun
    • 3
  1. 1.Department of Information and Industrial EngineeringYonsei UniversitySeoulRepublic of Korea
  2. 2.Department of Industrial Systems EngineeringInduk Institute of TechnologySeoulRepublic of Korea
  3. 3.Department of Computer Science and EngineeringUniversity of ConnecticutStorrsUSA

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