Smart sewing work measurement system using IoT-based power monitoring device and approximation algorithm
Author:
Affiliation:
1. Department of Mechanical and Aerospace Engineering, Seoul National University, Seoul, Republic of Korea
2. Hojeon Limited, Seoul, Republic of Korea
3. Institute of Advanced Machines and Design, Seoul National University, Seoul, Republic of Korea
Funder
National Research Foundation of Korea
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207543.2019.1671629
Reference46 articles.
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2. Automated work cycle classification and performance measurement for manual work stations
3. A Comparison of Time-and-Motion and Self-Reporting Methods of Work Measurement
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