A Prediction Method for the Number of Waste Durable Goods
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- Tasaki Tomohiro
- Laboratory of Safety and Environmental Engineering, Yokohama National University
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- Oguchi Masahiro
- Laboratory of Safety and Environmental Engineering, Yokohama National University
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- Kameya Takashi
- Laboratory of Safety and Environmental Engineering, Yokohama National University
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- Urano Kohei
- Laboratory of Safety and Environmental Engineering, Yokohama National University
Bibliographic Information
- Other Title
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- 使用済み耐久消費財の発生台数の予測方法
- シヨウズミ タイキュウ ショウヒザイ ノ ハッセイ ダイスウ ノ ヨソク ホウホウ
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Abstract
Recycling of waste durable goods will be advanced by the basic law for recycling-oriented society and the law for recycling of specified kinds of home appliances. In order to design the plan for recycling and appropriate disposal of durable goods, it is necessary to predict the numbers of waste durable goods. In this paper, a new prediction method for the number of waste durable goods, using the number of goods delivery, the number in possession and the lifetime distribution of products, was proposed. The number of possessed products and the lifetime distribution of products were analyzed by using logistic function and Weibull distribution function, respectively. Using the proposed method, the numbers of waste car and total automobiles and seven types of electric home appliances (TV set, air conditioner, refrigerator, washing machine, vacuum cleaner, microwave oven and video cassette recorder) were predicted until fiscal year of 2020. Furthermore, the numbers of waste air conditioner were predicted in different scenarios that average lifetime is changed, and hence the usefulness of the proposed method was confirmed.
Journal
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- Journal of the Japan Society of Waste Management Experts
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Journal of the Japan Society of Waste Management Experts 12 (2), 49-58, 2001
Japan Society of Material Cycles and Waste Management
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Keywords
Details 詳細情報について
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- CRID
- 1390282680274867200
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- NII Article ID
- 10019281180
- 10006091682
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- NII Book ID
- AN10414685
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- ISSN
- 1883163X
- 18831648
- http://id.crossref.org/issn/0956053X
- http://id.crossref.org/issn/18831648
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- NDL BIB ID
- 5720520
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed