Checking the Accuracy of Environmental Data for Compliance with Environmental Rules

N. Ninagawa, Y. Hamatsuka, N. Yamamoto, Y. Hiroshige
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Abstract

The worldwide spread of environmental rules concerning electrical and electronic equipment has increased the need for improved efficiency of Design for Environment (DfE). At present, assembly manufacturers request parts suppliers to submit parts data to confirm compliance with environmental rules. Assembly manufacturers are especially interested in the chemical content of parts. When confirming the accuracy of the data, an analytical instrument is often utilized by both assembly manufacturers and parts suppliers. However, it takes a huge number of man-hours. To solve this problem, we have proposed methodology to check the accuracy of environmental data, especially the chemical content of parts, without using an analytical instrument. Here we have developed logic to extract benchmark data and the trend of substance use from the existing parts database by applying statistical processes. "Benchmark data" are used for comparison to confirm environmental data for parts. We also developed a tool that produces a benchmark map, which is a matrix of benchmark data. As a result we found that each material or parts classification has different benchmark data and its trend. By our proposed method, we conclude that the use of benchmark data will reduce the risk of nonconformity or the number of man-hours needed for parts selection and parts qualification.
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检查环境数据的准确性,以符合环保规定
电气和电子设备环境规则在世界范围内的传播增加了对提高环境设计效率(DfE)的需求。目前,装配制造商要求零部件供应商提交零部件数据,以确认是否符合环保规定。装配制造商对零件的化学成分特别感兴趣。当确认数据的准确性时,装配制造商和零件供应商经常使用分析仪器。然而,这需要大量的工时。为了解决这个问题,我们提出了不使用分析仪器来检查环境数据准确性的方法,特别是部件的化学含量。在这里,我们开发了逻辑,通过统计过程从现有零件数据库中提取基准数据和物质使用趋势。“基准数据”用于比较,以确认部件的环境数据。我们还开发了一个工具来生成基准图,这是一个基准数据矩阵。结果发现,每一种材料或零件的分类都有不同的基准数据及其趋势。通过我们提出的方法,我们得出结论,使用基准数据将减少不合格的风险或零件选择和零件鉴定所需的工时数。
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