Next Article in Journal
Validation of Underwater Sensor Package Using Feature Based SLAM
Next Article in Special Issue
Real-Time Monitoring System for a Utility-Scale Photovoltaic Power Plant
Previous Article in Journal
Road-Aided Ground Slowly Moving Target 2D Motion Estimation for Single-Channel Synthetic Aperture Radar
Open AccessArticle

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

1
State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China
2
Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China
3
Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China
*
Author to whom correspondence should be addressed.
Academic Editor: Albert M. K. Cheng
Sensors 2016, 16(3), 382; https://doi.org/10.3390/s16030382
Received: 5 February 2016 / Revised: 6 March 2016 / Accepted: 14 March 2016 / Published: 17 March 2016
(This article belongs to the Special Issue Real-Time and Cyber-Physical 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 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. View Full-Text
Keywords: traceability; Petri net; cyber-physical manufacturing systems; product quality control traceability; Petri net; cyber-physical manufacturing systems; product quality control
Show Figures

Figure 1

MDPI and ACS Style

Huang, J.; Zhu, Y.; Cheng, B.; Lin, C.; Chen, J. A PetriNet-Based Approach for Supporting Traceability in Cyber-Physical Manufacturing Systems. Sensors 2016, 16, 382.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop