Average Lifespan Estimation for Electrical and Electronic Products Based on Quantification Analysis of Relationship with Product Characteristics

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  • Oguchi Masahiro
    Institute of Environment and Resource Systems Inc.
  • Kameya Takashi
    Graduate School of Environment and Information Sciences, Yokohama National University
  • Tasaki Tomohiro
    Research Center for Material Cycles and Waste Management, National Institute of Environmental Studies
  • Tanikawa Noboru
    Graduate School of Engineering, Hokkaido University
  • Urano Kohei
    Graduate School of Environment and Information Sciences, Yokohama National University

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  • 製品特性に関する数量化分析を用いた電気・電子製品の平均使用年数の推定
  • セイヒン トクセイ ニ カンスル スウリョウカ ブンセキ オ モチイタ デンキ デンシ セイヒン ノ ヘイキン シヨウ ネンスウ ノ スイテイ

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Abstract

In this study, the relationship between the average lifespans and characteristics of twenty-two types of electrical and electronic products was analyzed. Following, the results of this analysis were used to determine average lifespans and the total waste number of products whose lifespan distributions have not been clarified.<br>The reasons for removing the products surveyed in previous studies were categorized, and four kinds of characteristics : durability, purchase cost, recent improvement in product performance, and ease of transfer of products, extracted as being the main influences on average lifespans for such products. The analysis using quantification theory type I was conducted with data directly or indirectly relating to these characteristics, and average lifespans which were estimated through a questionnaire survey on the products people own. Results showed that the average lifespan for the twenty-two types of products can basically be expressed using the equation of quantification theory with four kinds of data : stock period of functional parts, average shipment value, shipment growth rate and average weight (determination coefficient R2 was 0.82). Furthermore, the average lifespan of some products was estimated using the equation of quantification theory. As a result, approximately the same values as those estimated from the questionnaire survey or statistics with mass-balance concept were finally obtained.

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