生产力
效率低下
经济短缺
动作(物理)
运营管理
培训(气象学)
业务
劳动经济学
工程类
计算机科学
经济
经济增长
微观经济学
物理
量子力学
气象学
语言学
哲学
政府(语言学)
作者
Min–Yuan Cheng,Akhmad F.K. Khitam,Hongky Haodiwidjaya Tanto
标识
DOI:10.1016/j.autcon.2023.104809
摘要
Importing workers from countries with more abundant, lower-cost labor supplies has been a solution in developed countries to address the labor shortages. The continuous monitoring of worker activities is a widely used approach to measuring productivity and determining the root causes of inefficiency. The evaluation of column formwork activities was developed and tested to compare the relative productivity of foreign and domestic workers. An innovative framework integrating a deep learning method, namely You Only Watched Once (YOWO), was applied to recognize discrete actions of the workers. The YOWO model identified these actions with an average F1 score of 78.3%. The time required to perform the "assemble" action was identified as the most significantly different, with foreign workers requiring 36 s more than their domestic counterparts. Hence improving the efficacy of foreign workers in completing the assemble action should be prioritized in training and education.
科研通智能强力驱动
Strongly Powered by AbleSci AI