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

Chang Ouk Kim, Jun Geol Baek, Jin Jun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 metamodel, 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.

Original languageEnglish
Title of host publicationComputational Science and Its Applications - ICCSA 2006
Subtitle of host publicationInternational Conference, Proceedings - Part V
PublisherSpringer Verlag
Pages839-850
Number of pages12
ISBN (Print)3540340793, 9783540340799
DOIs
Publication statusPublished - 2006 Jan 1
EventICCSA 2006: International Conference on Computational Science and Its Applications - Glasgow, United Kingdom
Duration: 2006 May 82006 May 11

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3984 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherICCSA 2006: International Conference on Computational Science and Its Applications
CountryUnited Kingdom
CityGlasgow
Period06/5/806/5/11

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All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Kim, C. O., Baek, J. G., & Jun, J. (2006). Meta-model driven collaborative object analysis process for production planning and scheduling domain. In Computational Science and Its Applications - ICCSA 2006: International Conference, Proceedings - Part V (pp. 839-850). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3984 LNCS). Springer Verlag. https://doi.org/10.1007/11751649_92