Radio frequency identification–enabled monitoring and evaluating in the discrete manufacturing process

Author:

Yuan Liuyin1,Guo Yu1,Wei Fangjian1,Lu Kun1,Jiang Jiajun1,Nian Liyun1

Affiliation:

1. College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, People’s Republic of China

Abstract

Process monitoring is a major focus on improving productivity of discrete manufacturing. With the recent application of new technologies such as radio frequency identification to manufacturing process, real-time production information has become available for decision support in manufacturing system. This study presents a radio frequency identification–based visibility monitoring rule for tracking work-in-process. Specific to the aviation manufacturing shop floor, a case study for demonstration is designed. The value of radio frequency identification–enabled real-time information is investigated within the discrete manufacturing operation. For this purpose, a simplified simulation model is developed to test the benefit of radio frequency identification–based rule compared to the classical scheduling rule. The results indicate that the adoption of radio frequency identification brings better production performance.

Publisher

SAGE Publications

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering

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1. Prioritizing Enablers in Terms of Industry 4.0 Technologies for Lean Manufacturing Implementation through Fuzzy-AHP;2023 IEEE 11th Region 10 Humanitarian Technology Conference (R10-HTC);2023-10-16

2. Radio Frequency Identification (RFID) based wireless manufacturing systems, a review;Independent Journal of Management & Production;2022-03-01

3. Supply Chain Vulnerability and Collaborative Management Empowered by Emerging IT: An Analysis from China's Practice;2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM);2021-12-13

4. Real-time vision-based multiple object tracking of a production process: Industrial digital twin case study;Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture;2021-03-12

5. QR code-based material flow monitoring in a subcontractor manufacturer network;Procedia Manufacturing;2021

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