A motion capture system for the study of human manufacturing repetitive motions
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ORIGINAL ARTICLE
A motion capture system for the study of human manufacturing repetitive motions David C. Wierschem 1 & Jesus A. Jimenez 2 & Francis A. Méndez Mediavilla 1 Received: 23 January 2020 / Accepted: 23 July 2020 / Published online: 17 August 2020 # Springer-Verlag London Ltd., part of Springer Nature 2020
Abstract This manuscript presents a method for motion capture–based manufacturing time and motion studies. The proposed human motion analytics system uses motion capture technology to collect, transform, store, and analyze data from repetitive physical motions performed by manufacturing workers. The system supports the isolation of basic simple motions for analysis using statistical process control and data analytics techniques. The proposed method has resulted in the ability to identify patterns of repetitive motions and statistically significant deviations from those patterns. Keywords Industry 4.0 . Time and motion studies . Time and motion analytics . Manufacturing analytics . Repetitive motion . Quality of human motion
1 Introduction The study of human motion is an important development to improve the health and performance of the human body and has developed continuously since the midnineteenth century. While the main goal has remained constant throughout time, the science and technology used to pursue it has changed dramatically. The systematic collection of observations is fundamental to scientific management [1]. The technology used to collect observations for time and motion studies varies widely, from in-place observation, to motion video, to computerized representation. The precision of the measurements also varies from
* Francis A. Méndez Mediavilla [email protected] David C. Wierschem [email protected] Jesus A. Jimenez [email protected] 1
Department of Computer Information Systems and Quantitative Methods, McCoy College of Business, Texas State University, 601 University Dr., San Marcos, TX 78666, USA
2
Ingram School of Engineering, College of Science and Engineering, Texas State University, 601 University Dr., San Marcos, TX 78666, USA
qualitative visual assessments to a fraction of a millimeter in six-dimensional space [2]. Motion capture (MoCap) is the process of capturing a live motion event and translating it into mathematically usable signals [3]. This manuscript presents a system focused on the time and motion study of repetitive motions employed in manufacturing and material handling, such as the use of a glue-gun in a vehicle assembly line and lifting boxes in a distribution center. The method describes a MoCap system with which motion data are collected, stored, and analyzed. It is expected that the knowledge generated by this systematic analysis will help improve the quality of motion of workers by allowing for redefining the design of manufacturing environments, processes and training. After a literature review and numerous discussions with representatives from the material handling community in the USA and Europe, the authors have not found an approach in which manufacturin
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