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A PetriNet-Based Approach for Supporting Traceability in Cyber-Physical Manufacturing Systems

With the growing popularity of complex dynamic activities in manufacturing processes, traceability of the entire life of every product has drawn significant attention especially for food, clinical materials, and similar items. This paper studies the traceability issue in cyber-physical manufacturing...

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Detalles Bibliográficos
Autores principales: Huang, Jiwei, Zhu, Yeping, Cheng, Bo, Lin, Chuang, Chen, Junliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4813957/
https://www.ncbi.nlm.nih.gov/pubmed/26999141
http://dx.doi.org/10.3390/s16030382
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author Huang, Jiwei
Zhu, Yeping
Cheng, Bo
Lin, Chuang
Chen, Junliang
author_facet Huang, Jiwei
Zhu, Yeping
Cheng, Bo
Lin, Chuang
Chen, Junliang
author_sort Huang, Jiwei
collection PubMed
description With the growing popularity of complex dynamic activities in manufacturing processes, traceability of the entire life of every product has drawn significant attention especially for food, clinical materials, and similar items. This paper studies the traceability issue in cyber-physical manufacturing systems from a theoretical viewpoint. Petri net models are generalized for formulating dynamic manufacturing processes, based on which a detailed approach for enabling traceability analysis is presented. Models as well as algorithms are carefully designed, which can trace back the lifecycle of a possibly contaminated item. A practical prototype system for supporting traceability is designed, and a real-life case study of a quality control system for bee products is presented to validate the effectiveness of the approach.
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spelling pubmed-48139572016-04-06 A PetriNet-Based Approach for Supporting Traceability in Cyber-Physical Manufacturing Systems Huang, Jiwei Zhu, Yeping Cheng, Bo Lin, Chuang Chen, Junliang Sensors (Basel) Article With the growing popularity of complex dynamic activities in manufacturing processes, traceability of the entire life of every product has drawn significant attention especially for food, clinical materials, and similar items. This paper studies the traceability issue in cyber-physical manufacturing systems from a theoretical viewpoint. Petri net models are generalized for formulating dynamic manufacturing processes, based on which a detailed approach for enabling traceability analysis is presented. Models as well as algorithms are carefully designed, which can trace back the lifecycle of a possibly contaminated item. A practical prototype system for supporting traceability is designed, and a real-life case study of a quality control system for bee products is presented to validate the effectiveness of the approach. MDPI 2016-03-17 /pmc/articles/PMC4813957/ /pubmed/26999141 http://dx.doi.org/10.3390/s16030382 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Huang, Jiwei
Zhu, Yeping
Cheng, Bo
Lin, Chuang
Chen, Junliang
A PetriNet-Based Approach for Supporting Traceability in Cyber-Physical Manufacturing Systems
title A PetriNet-Based Approach for Supporting Traceability in Cyber-Physical Manufacturing Systems
title_full A PetriNet-Based Approach for Supporting Traceability in Cyber-Physical Manufacturing Systems
title_fullStr A PetriNet-Based Approach for Supporting Traceability in Cyber-Physical Manufacturing Systems
title_full_unstemmed A PetriNet-Based Approach for Supporting Traceability in Cyber-Physical Manufacturing Systems
title_short A PetriNet-Based Approach for Supporting Traceability in Cyber-Physical Manufacturing Systems
title_sort petrinet-based approach for supporting traceability in cyber-physical manufacturing systems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4813957/
https://www.ncbi.nlm.nih.gov/pubmed/26999141
http://dx.doi.org/10.3390/s16030382
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