کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
383568 660827 2013 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Modelling of automobile shredder residue recycling in the Japanese legislative context
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Modelling of automobile shredder residue recycling in the Japanese legislative context
چکیده انگلیسی


• We propose the ASR recycling planning model for Japanese vehicle recycling industry.
• We examine the influence of the ELV Recycling Law on the Japanese vehicle recycling industry.
• The future ASR quota is easily attainable.
• The 20% increase in valid recycling quota will cause approximately 50% decrease in the quantity of disposed ASR.
• Sensitivity analyses demonstrate and validate the approach and its potentials.

End-of-life vehicles (ELVs) represent one of the most important waste flows in Japan and 3.58 million was processed only in fiscal year 2008. In an attempt to reduce waste originating from ELVs, the Japanese Government introduced the ELV Recycling Law in 2002. Automobile shredder residue (ASR) recycling is essential to achieving the goals of the ELV Recycling Law and represents a major concern for the Japanese vehicle recycling industry. This paper proposes the tactical ASR recycling planning model, which can be used to assist Japanese vehicle recyclers to improve their profitability and ASR recycling efficiency. A numerical study is conducted in order to illustrate the potentials and applicability of the proposed modelling approach, and to gain insights into the performances of the Japanese vehicle recycling system and into the influence of the ELV Recycling Law. Sensitivity analyses demonstrate and validate the approach and its potentials. ELV Recycling Law influence is found to be crucial for the decision making on ASR recycling, as the 20% increase in valid recycling quota will cause approximately 50% decrease in the quantity of disposed ASR. We show that the stringent ASR recycling quota is easily attainable and present many interesting insights.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 40, Issue 18, 15 December 2013, Pages 7159–7167
نویسندگان
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