首页> 外文期刊>MATEC Web of Conferences >Human error probability analysis of overhead crane operation in steel fabrication company using SLIM-DEMATEL-ANP method
【24h】

Human error probability analysis of overhead crane operation in steel fabrication company using SLIM-DEMATEL-ANP method

机译:基于SLIM-DEMATEL-ANP方法的钢铁制造企业桥式起重机操作人为失误概率分析

获取原文
           

摘要

The accident record from a steel fabrication company in 2014-2017 shows that the most frequent accidents take place in overhead crane operation with a percentage of 42%. The overhead crane operation has the greatest potential of accidents with human error as the main cause. The purpose of this study is to determine what factors affect the occurrence of errors, to know how much HEPs, and to determine recommendations. The method used in this research is Success Likelihood Index Method (SLIM) with qualitative development using Decision Making Trial and Evaluation Laboratory (DEMATEL) which aims to establish the relationship among PSFs to be an easily comprehensible structured model by considering expert judgements and to solve dependency in a set of criteria. Analytic Network Process (ANP) is used to overcome the inconsistency of expert judgements and difficulty in selection and weighting. The calculation and analysis reveal that the highest Human Error Probability (HEP) value is shown by the task to handling or lifting with the value 0.000485. Impact assessment using the HEP value to determine probability and consequence is performed by expert judgements. Improvement recommendations are prioritized for high rating error tasks using Error Reduction Analysis.
机译:2014-2017年一家钢铁制造公司的事故记录显示,最常见的事故发生在高架起重机操作中,占42%。高架起重机操作中发生人为错误的主要原因是发生事故的可能性最大。这项研究的目的是确定哪些因素会影响错误的发生,了解多少HEP并确定建议。本研究中使用的方法是使用决策试验和评估实验室(DEMATEL)进行定性开发的成功可能性指数方法(SLIM),其目的是通过考虑专家的判断并解决依赖关系,将PSF之间的关系建立为易于理解的结构化模型。在一组标准中。分析网络过程(ANP)用于克服专家判断的不一致以及选择和加权的困难。计算和分析表明,任务显示要处理或提升的最高人为错误概率(HEP)值为0.000485。由专家判断,使用HEP值来确定可能性和后果的影响评估。使用错误减少分析针对高错误率任务优先提出改进建议。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号