Development of physical workload evaluation system for repetitive task using muscle fatigue model considering movement variability

2022 Fiscal Year Final Research Report

• Project/Area Number: 19K04922
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 25020:Safety engineering-related
• Research Institution: Tokyo Metropolitan University
• Principal Investigator: Seo Akihiko 東京都立大学, システムデザイン研究科, 教授 (80206606)
• Project Period (FY): 2019-04-01 – 2023-03-31
• Keywords: 反復作業 / 筋疲労モデル / 連続作業時間

Outline of Final Research Achievements

In this research, a measurement device was developed to analyze the factors that cause variability in human manipulation due to repetitive tasks. Then, from the data obtained by using the device, the factors of movement variability and their relationship were analyzed. As a result, we were able to clarify the characteristics of exerted force and changes in posture due to movement. Furthermore, by expanding functions of a digital human model, a system was developed that can examine the relationship between the causes of movement variability and work endurance time. Through the simulation using the system, the effects of working condition factors on working time were examined. In addition, the validity of the simulation was confirmed by actually measuring the data of the variation in operation required for the simulation.

Free Research Field

人間工学

Academic Significance and Societal Importance of the Research Achievements

本研究では、作業者の移動によって生じる手位置の変動を考慮することで、連続作業時間の妥当な増減が得られることを明らかにできた。立ち位置の変動は、設計段階での作業限界シミュレーションに利用しやすく、様々な作業に利用できる可能性が高く、社会的な意義は高いと考えられる。