Data model design for manufacturing execution system

Data model design for manufacturing execution system Purpose – Since the data model plays an important role in designing manufacturing execution system (MES) database, this paper seeks to provide a generic and adaptable data model for MES, which can facilitate and improve the MES development. Design/methodology/approach – Extended entity‐relationship (EER) model technique is adopted to build the data model of MES. Findings – Based on MES functions and database requirement analysis, four subject's structures of MES database is abstracted from a system integration point of view. These four structures are independent relatively but also have close interrelation. Each structure is modeled with EER model. Research limitations/implications – The presented data model mainly focuses on discrete manufacturing MES, which perhaps limits its usefulness elsewhere, and the data model still need further testing in manufacturing enterprises with different scales. Practical implications – A prototype MES system is developed and implemented, the results show that the proposed EER modeling approach can establish and make clear complex relationships among entities existed in a manufacturing system, which lays the foundation for adaptable and modular MES software development and implementation. Originality/value – This paper fulfils a fundamental need of designing data model for MES and provides a main framework for developing MES data model, which provides reference for researches both in academia and industry to build specific relational data models for specific needs. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Manufacturing Technology Management Emerald Publishing

Data model design for manufacturing execution system

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Publisher
Emerald Publishing
Copyright
Copyright © 2005 Emerald Group Publishing Limited. All rights reserved.
ISSN
1741-038X
DOI
10.1108/17410380510627889
Publisher site
See Article on Publisher Site

Abstract

Purpose – Since the data model plays an important role in designing manufacturing execution system (MES) database, this paper seeks to provide a generic and adaptable data model for MES, which can facilitate and improve the MES development. Design/methodology/approach – Extended entity‐relationship (EER) model technique is adopted to build the data model of MES. Findings – Based on MES functions and database requirement analysis, four subject's structures of MES database is abstracted from a system integration point of view. These four structures are independent relatively but also have close interrelation. Each structure is modeled with EER model. Research limitations/implications – The presented data model mainly focuses on discrete manufacturing MES, which perhaps limits its usefulness elsewhere, and the data model still need further testing in manufacturing enterprises with different scales. Practical implications – A prototype MES system is developed and implemented, the results show that the proposed EER modeling approach can establish and make clear complex relationships among entities existed in a manufacturing system, which lays the foundation for adaptable and modular MES software development and implementation. Originality/value – This paper fulfils a fundamental need of designing data model for MES and provides a main framework for developing MES data model, which provides reference for researches both in academia and industry to build specific relational data models for specific needs.

Journal

Journal of Manufacturing Technology ManagementEmerald Publishing

Published: Dec 1, 2005

Keywords: Management information systems; Manufacturing systems; Data handling; Modelling

References

  • Towards a semantic view of an extended entity‐relationship model
    Martin, G.; Uwe, H.

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