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 publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages839-850
Number of pages12
Volume3984 LNCS
Publication statusPublished - 2006 Jul 20
Externally publishedYes
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)03029743
ISSN (Electronic)16113349

Other

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

Fingerprint

Planning and Scheduling
Production/scheduling
Production Planning
Metamodel
Software
Scheduling
Planning
Object Modeling
Software Components
Production Systems
Object
Object-oriented
Software Development
Software engineering

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Computer Science(all)
  • Theoretical Computer Science

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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3984 LNCS, pp. 839-850). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3984 LNCS).

Meta-model driven collaborative object analysis process for production planning and scheduling domain. / Kim, Chang Ouk; Baek, Jun-Geol; Jun, Jin.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3984 LNCS 2006. p. 839-850 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3984 LNCS).

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

Kim, CO, Baek, J-G & Jun, J 2006, Meta-model driven collaborative object analysis process for production planning and scheduling domain. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 3984 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3984 LNCS, pp. 839-850, ICCSA 2006: International Conference on Computational Science and Its Applications, Glasgow, United Kingdom, 06/5/8.
Kim CO, Baek J-G, Jun J. Meta-model driven collaborative object analysis process for production planning and scheduling domain. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3984 LNCS. 2006. p. 839-850. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Kim, Chang Ouk ; Baek, Jun-Geol ; Jun, Jin. / Meta-model driven collaborative object analysis process for production planning and scheduling domain. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3984 LNCS 2006. pp. 839-850 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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