Department of Industrial Engineering and Management, Ben-Gurion University of the Negev, Beer Sheva, Israel; Institute of Agricultural Engineering, Agricultural Research Organization, Bet Dagan, Israel.
Department of Industrial Engineering and Management, Ben-Gurion University of the Negev, Beer Sheva, Israel.
Appl Ergon. 2018 Feb;67:61-70. doi: 10.1016/j.apergo.2017.09.003.
To plan a new manual material handling work process, it is necessary to predict the times required to complete each task. Current time prediction models lack validity when the handled object's mass exceeds 2 kg. In this study, we investigated the effect of workplace design parameters on continuous sequential lifting, carrying, and lowering of boxes weighing from 2 kg to 14 kg. Both laboratory and field experiments were conducted. Results revealed that the box's weight and the lifting and lowering heights influenced the tasks' times. Further, the time to perform a task was influenced by the performance of other tasks in the same work process. New time prediction models were developed using the laboratory experiment data. Our models were found to be more accurate on average than the Maynard Operation Sequence Technique (MOST) and Methods Time Measurement (MTM-1) by 42% and 20%, respectively, for predicting the times of real workers at an actual workplace.
要规划新的手动物料搬运工作流程,有必要预测完成每项任务所需的时间。当搬运物体的质量超过 2 公斤时,当前的时间预测模型缺乏有效性。在这项研究中,我们研究了工作场所设计参数对连续顺序提起、搬运和放下重达 2 公斤至 14 公斤的箱子的影响。进行了实验室和现场实验。结果表明,箱子的重量以及提升和降低高度会影响任务的时间。此外,执行任务的时间还受到同一工作流程中其他任务的执行情况的影响。使用实验室实验数据开发了新的时间预测模型。我们的模型在预测实际工作场所中实际工人的时间时,平均比 Maynard 操作顺序技术(MOST)和方法时间测量(MTM-1)分别准确 42%和 20%。