Meta-model driven collaborative object analysis process for production planning and scheduling domain

  • Authors:

  • Chang Ouk Kim;Jun-Geol Baek;Jin Jun

  • Affiliations:

  • Department of Information and Industrial Engineering, Yonsei University, Seoul, Republic of Korea;Department of Industrial Systems Engineering, Induk Institute of Technology, Seoul, Republic of Korea;Department of Computer Science and Engineering, University of Connecticut, Storrs, CT

  • Venue:
  • ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part V
  • Year:
  • 2006

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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.