本研之目的找出光電廠氣體拖車更換作業人員可靠度與不安全行為構成因素。研究方法分為四部分:第一為現場觀察及瞭解作業流程;第二為動作失誤分析,利用階層式作業分析(HTA)及系統化人為失誤減少與預測方法(SHERPA),將失誤進行定性與定量;第三為問卷分析,主要為了解員工對於作業中失誤的主觀意見;第四為利用人為失誤評估與減少技術(HEART) 建立人可靠度及失誤率計算,找出失誤率最高的動作進行改善。 在問卷分析結果,工作時間的長短和教育訓練的頻率影響員工的作業失誤最為顯著。失誤分析部份,氣體拖車更換作業的失誤類型主要是以動作失誤為主(138/175),佔74.3%。而失誤率預測的結果, D廠氫氣拖車更換作業中,失誤率最高之動作為查看與紀錄殘氣拖車壓力及溫度,失誤率為0.00074;F廠氫氣拖車更換作業中,失誤率最高之動作為查看與記錄殘氣拖車壓力與溫度和收起瓶閥上OPEN吊牌,失誤率為0.00077。本研究結果,有助於失誤模式的建立,及工廠作業流程改善以提升人為可靠度。
The goal of this study is to discover the construction and factors of human reliability and un-safety behaviors for gas trailer process in a case of optoelectronics factory. The methods of this study contain four parts. Part one is to observe the operating environment and understand the complete operation. Part two is to analysis work activity, using hierarchical task analysis (HTA)and Systematic human error reduction and prediction approach (SHERPA) to define errors in the quantity and quality.Part tree is using questionnaire to survey the error self-knowledge of operator. Part four is using human error assessment and reduction technique (HEART) to construct human reliability and calculate human error rate, improve the higher failure rate. According to the questionnaire, the working time and training frequency have been the most significant influence factors. For the error analysis, the main occupied error of gas trailer process is action error (81/109;74.3%). About the gas trailer process of D factory, the highest error rate was 0.00074, the action is viewing and recording the pressure and temperature of the gas trailer;About the gas trailer process of F factory, the the highest error rate was 0.00077, the action is viewing and recording the pressure and temperature of the gas trailer and put away the tag on the spigot valve. This result of this studing will help establishing error model, improve the operation procedure and reinforcing the human reliability in the factories.