AAU Open Source MES Architecture for Smart Factories - Exploiting ISA 95

Chen LI, Soujanya Mantravadi, Charles Møller

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

8 Citations (Scopus)
1 Downloads (Pure)

Abstract

Manufacturing Execution Systems (MES) play an important role in production management. However, many MES are either not following the industry standard or not providing high flexibility for small and medium-sized enterprises (SMEs)
that are interested in user-defined software and low-cost automation solutions. This paper presents an ISA95 based MES architecture, an open-source evolvable MES that follows an industry standard. It is specifically designed for production
management (e.g., production scheduling and execution) in SMEs. We expand this work into three directions. Firstly, we follow the industry standard - ISA95 guideline to identify the key functionalities, activities, and objects of the MES. Secondly, we leverage a model-driven paradigm to show how to design the
architecture and data model. To keep it open-source, a business platform Odoo is chosen as it provides various well-designed free ERP modules as a foundation for MES design. Finally, various advanced features of Aalborg University (AAU) MES are
illustrated by using an example product assembly.
Original languageEnglish
Title of host publication2020 IEEE 18th International Conference on Industrial Informatics (INDIN)
Number of pages5
PublisherIEEE
Publication date20 Jul 2020
Pages369-373
Article number9442130
ISBN (Print)978-1-7281-4965-3
ISBN (Electronic)978-1-7281-4964-6
DOIs
Publication statusPublished - 20 Jul 2020
Event18th IEEE International Conference on Industrial Informatics, INDIN 2020 - Virtual, Warwick, United Kingdom
Duration: 21 Jul 202023 Jul 2020

Conference

Conference18th IEEE International Conference on Industrial Informatics, INDIN 2020
Country/TerritoryUnited Kingdom
CityVirtual, Warwick
Period21/07/202023/07/2020
SponsorIEEE Industrial Electronics Society (IES), The Institute of Electrical and Electronics Engineers (IEEE)
SeriesI E E E International Conference on Industrial Informatics
ISSN1935-4576

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

  • architectural solution
  • data models
  • enterprise information systems
  • Industry 4.0
  • ISA 95
  • manufacturing operations management (MOM)

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