《计算机应用研究》|Application Research of Computers

生产过程中人的极限工作时间研究

Study on determine limit working time of human in production process

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作者 崔铁军,李莎莎
机构 1.辽宁工程技术大学 安全科学与工程学院,辽宁 阜新 123000;2.辽宁工程技术大学 工商管理学院,辽宁 葫芦岛 125105
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文章编号 1001-3695(2019)07-025-2027-04
DOI 10.19734/j.issn.1001-3695.2017.12.0852
摘要 操作工人在长时间的工作过程中,由于精神和身体的疲劳会产生失误,人的可靠性降低,导致生产残次品,甚至危及人身安全。为了了解在保证可靠性的前提下操作者最长可持续的工作时间(极限工作时间),提出了一种结合统计过程控制图(statistical process control chart,SPCC)和差分自回归移动平均(autoregressive integrated moving average,ARIMA)模型的方法。用连续时间中单位时间间隔内的次品率衡量人的可靠度,并形成次品率时序序列(defective rate time series,DRTS)。一方面使用该数列基于ARIMA构建SPCC,并确定样本的上控制线(up control line,UCL)、下控制线(low control line,LCL)和极限时间范围;另一方面使用ARIMA和支持向量机(support vector machine,SVM)配合实时跟踪算法(realtime tracing algorithm,RTA)对需要确定极限工作时间(limit working time,LWT)的某一操作者的DRTS进行预测。最后将预测曲线置于SPCC中来确定该操作者LWT的范围。通过对10个操作者8 h,每隔10 min采样得到的DRTS分析,表明该类工作参数的范围为UCL=[3.89,4.66]、LCL=[-4.98,-3.90]、LWT=[393,450] min,确定了一个新操作者的LWT为[435,452] min,即435 min时该操作者就应该停止工作进行休息。
关键词 人的可靠性; 差分自回归移动平均模型; 统计过程控制图; 极限工作时间
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本文URL http://www.arocmag.com/article/01-2019-07-025.html
英文标题 Study on determine limit working time of human in production process
作者英文名 Cui Tiejun, Li Shasha
机构英文名 1.College of Safety Science & Engineering,Liaoning Technical University,Fuxin Liaoning 123000,China;2.School of Business Administration,Liaoning Technical University,Huludao Liaoning 125105,China
英文摘要 In the process of long work hours, operators can produce errors due to mental and physical exhaustion, human reliability is reduced, and it leads to production of incomplete and even endangers humanal safety. In order to understand operator's longest sustainable working time on the premise of given reliability, this paper put forward a method of combining SPCC and ARIMA. With unit time interval defect rate in the continuous time to measure the reliability of human, and it formed a defective rate time series. On the one hand, it built the SPCC using DRTS based on ARIMA to determine the sample of UCL, LCL and LWT range. On the other hand, it predicted the DRTS of an operator using ARIMA and SVM with RTA. Finally this method put the prediction curve into the SPCC to determine the LWT range. Based on 8 hours, 10 operators DRTS analysis of sampling for every 10 minutes, the results indicate that the scope of this kind of working parameters for the UCL=[3.89, 4.66], LCL =[-4.98, -3.90], LWT =[393, 450]. It identifies a new operator LWT is[435, 452] minutes, 435 minutes when the operator sill stop working to have a rest.
英文关键词 reliability of the human; ARIMA model; SPCC; limit working time(LWT)
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收稿日期 2017/12/14
修回日期 2018/2/6
页码 2027-2030
中图分类号 TP391
文献标志码 A