單手與雙手提攜能力預測模式之建立

The Establishment of Prediction Model of Carrying Capacity of One Hand and Two Hands

10.6848/JWL.201803_5(2).0004

吳水丕(Swei-Pi Wu)；陳弘(Hong Chen)

人工物料搬運 ； 結合式提攜作業 ； 手部條件 ； 提攜範圍 ； 提攜能力預測模式 ； manual materials handling ； combined carrying task ； hand conditions ； carrying range ； predict model of carrying capacity

工作與休閒學刊

5卷2期（2018 / 03 / 01）

147 - 158

繁體中文

本研究是針對單手與雙手結合式提攜作業採心物法來決定各種不同提攜範圍的最大可承受提攜重量(MAWC)，並使用受試者的人體測計和肌力變項來建立提攜能力預測模式。共有15 位男性大學生參與實驗。每位受試者必須執行8 種不同的作業，包括不同手部條件(單手、雙手)和提攜範圍(F-F、F-K、K-F、K-K)。本研究採用20 項人體測計值、7 項靜態肌力量測與4 項動態肌力測試等描述受試者身體特徵條件的資料，再經由多重逐步回歸分析方法建立十種模式來評估受試者在不同變項下之結合式提攜能力，結果發現在解釋能力方面以模式五與模式十的R^2最高(R^2=0.8595，PRESS＝466)，其次依序為模式一、模式九、模式七、模式二、模式四與模式八，而以模式三為最低。就便利性而言本研究建議使用動態肌力為預測變項，而使用等慣性動態肌肉力的預測模式八（R^2=0.7766，PRESS＝608）最為實用。

This study was based on one-hand and two-hand combined carrying task to determine the maximum acceptable carrying weight (MAWC) of different lifting range by psychophysical method and using the subject's anthropometric and strength variables to establish a carrying capability prediction model. A total of 15 male college students participated in the experiment. Each subject had to perform 8 different tasks, including different hand conditions (one-handed, two-handed) and carrying ranges (F-F, F-K, K-F, K-K). In this study, 20 anthropometric measurements, 7 static strength measurements and 4 dynamic strength measurements were used to describe the physical characteristics of the subjects, and then 10 predical models were established by multiple stepwise regression analysis to evaluate the subjects' carrying capacity. The results showed that R^2 was the highest (R^2 = 0.8595, PRESS = 466) in Model 5 and Model 10 in terms of explanatory power, followed by Model 1, Model 9, Model 7, Model 2 , Model 4 and Model 8, and Model 3 is the lowest. In terms of convenience, this study suggests using dynamic strength as a predictor, whereas inertial dynamic strength prediction of Model 8 (R^2 = 0.7766, PRESS = 608) is most practical.

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