風險評估可概分為定性風險評估（Qualitative Risk Assessment）、半定量風險評估（Semi-quantitative Risk Assessment）與定量風險評估（Quantitative Risk Assessment）三種。其中半定量評估(例如危害性化學品分級管理工具等)因為其簡單即可及性被廣泛的使用。由於危害性化學品分級管理工具為一通用的模式，其精確度和準確度可能有所取捨。國內目前從事印刷及資料儲存媒體複製業約為 7,721家，且多數為中小型企業型態為主。印刷製程中會使用大量有機溶劑，對於勞工構成之健康風險值得關注，然而在進行暴露危害評估上不管是人力或物力都受到諸多限制，因此尋找適用於中小型事業單位的簡易評估勞工暴露情形的方式有其重要性。本研究利用國內14家塑膠材料印刷業暴露濃度及暴露相關研究資料，驗證五種危害性化學品分級管理方法，包含英國健康安全署(HSE)研擬之「危害物質控制須知(COSHH Essentials)」、國際勞工組織(ILO)擬定之「國際化學品控制工具箱(CCTK)」、德國發展之「簡易作業場所危害物質控制技術(EMKG)」、歐盟之「化學性因子指令實務指引(CAD)」與新加坡人力職業衛生局「有害化學品風險評估規範(SQRA)」。利用兩種方法進行分級管理工具之驗證：一為利用實際採樣濃度與分級管理工具之預測暴露濃度範圍進行比較，二為將分級管理工具之結果與暴露指數(EI (exposure index)=實際暴露濃度與容許濃度之比值)，進行斯皮爾曼等級相關係數(Spearman’s rank correlation coefficient)分析，以瞭解各評估及分級管理工具之有效性，並進而開發一適用該行業之評估及分級管理工具。結果顯示新加坡人力職業衛生局「有害化學品風險評估規範(SQRA)」最適合塑膠材料印刷業，考量其呈現中度相關(r=0.413, p<0.05)，修正後呈現高度相關(r=0.861, p<0.05)，建議公式如下：CCB=0.074×(物質危害等級)+0.058×(OT/PEL比率)+0.272×(每星期使用量)+0.727×(每週工作時間)+0.59，以上修正後之方法利用選取之塑膠材料印刷業中五個相似暴露族群暴露資料進行驗證，呈現高度相關(r=0.758, p<0.05)，表示其修正後之方法適用於塑膠材料印刷業。最後，利用所建立之危害性化學品分級管理方法建立長期暴露數據庫。透過結合上述資料庫（即事前分析資料）與區域採樣結果（即相似決策分布），利用貝氏決策分析技術本研究得出對研究之相似曝露族群中以離型層塗佈作業之丁酮具有最高之可能性（99.8％）落在ER4（即>1 PEL-TWA）。上述結果顯示其暴露風險高於容許濃度，建議採取措施以減少未來勞工之風險。

This study utilizes the exposure information of 14 domestic plastic material printing industries to validate five CCB methods, including the HSE COSHH Essentials, ILO International Chemical Control Toolkit, BAuA EMKG, EU Practical guidelines: Chemical agents directive (CAD) and Singapore Semi-Quantitative Risk Assessment (SQRA). There are two ways to evaluate five CCB methods, one is using the sampling data compared with the predicted range. The other is using Spearman’s rank correlation coefficient to analysis the correlation between the results of CCB methods and EI (exposure index, the ratio of exposure concentrations to the permissible exposure level (PEL)), to assess the validity of the above mentioned control banding methods. Results show that the SORA method is most suitable one for printing industries. Considering its moderate correlation (r=0.413, p<0.05), a modified CCB with high correlation (r=0.861, p<0.05) is proposed as following: CCB=0.074 x (Hazardous rating) + 0.0.058 x (OT/PEL ratio) + 0.272 x (Using amount rating) + 0.727 x (Working time per week). The above CCB is validated by data obtained from one printing industry with five similar exposure groups (SEGs). A high correlation is yielded (r=0. 758, p<0.05) which suggest the suitability of the proposed CCB. By combining the above data bank (i.e., the prior distribution) which established by the proposed CCB with the environmental sampling results (i.e., the likelihood distribution), through the use of the Bayesian decision analysis, this study yields the long-term exposures that the coating task of release layer of all studied SEGS have the highest possibilities (99.8 %) falling to ER4 (i.e., >1 PEL-TWA).

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