Improvement of Multistage Quality Control through the Integration of Decision Modeling and Cyber-Physical Production Systems

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

2 Citations (Scopus)

Abstract

The proliferation of Information and Communication Technologies allowed the development of new solutions to be applied at the shop-floor and all the tools which helps the manufacturers. Hence, new solutions such as cyber-physical production systems, data analytics and knowledge management were developed and proposed to solve the well-known issues, such as quality control in multistage manufacturing systems. However, those solutions can only have a small contribution in solving that issues compared to an optimized and fully integrated approach. To allow the development of a fully integrated environment, it is necessary to deliver a standard way to communicate and interact with the different functionalities. The proposed research aims to provide an integration layer, capable of translating the rules defined at the knowledge management level, structured as Decision Model and Notation rules, into an AutomationML based language. This allows the cyber-physical production system the ability to apply these rules near the shop-floor. This article presents the template defined to represent the rules in AutomationML as well as the infrastructure developed to receive the rules from the knowledge management, translate them and deliver to the cyber-physical production system. At the end of the article is presented a test bed where the solution is instantiated with rules focused on quality control.

Original languageEnglish
Title of host publication9th International Conference on Intelligent Systems 2018: Theory, Research and Innovation in Applications, IS 2018 - Proceedings
EditorsJoão Martins, Vladimir Jotsov, Robert Bierwolf, João Pedro Mendonça, Ricardo Jardim-Gonçalves, Maria Marques
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages479-484
Number of pages6
ISBN (Electronic)9781538670972
DOIs
Publication statusPublished - 2 Jul 2018
Event9th International Conference on Intelligent Systems, IS 2018 - Funchal - Madeira, Portugal
Duration: 25 Sep 201827 Sep 2018

Conference

Conference9th International Conference on Intelligent Systems, IS 2018
CountryPortugal
CityFunchal - Madeira
Period25/09/1827/09/18

Keywords

  • Cyber-Physical Production System
  • Decision Model and Notation
  • Multistage
  • Quality Control
  • Zero Defect Manufacturing

Fingerprint Dive into the research topics of 'Improvement of Multistage Quality Control through the Integration of Decision Modeling and Cyber-Physical Production Systems'. Together they form a unique fingerprint.

Cite this