2010
DOI: 10.2208/journalip.27.683
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Optimization of Reverse Logistics Network for End-of-Life/Second Hand Motorcycle in Thailand

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Cited by 2 publications
(4 citation statements)
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“…In the following sections, we will discuss each method briefly and thoroughly analyze the relevant literature. (Li et al, 2020) ELVs √ 2020-2030 (Xu et al, 2019) ELVs √ 2015-2040 (Yu et al, 2019) ELVs √ 2018-2025 (Wang et al, 2019) ELHVs √ Until 2030 (Lin et al, 2018) ELVs √ 1960-2050 (Xin et al, 2018) ELVs √ 2016-2020 (Hao et al, 2018) ELVs √ 2005-2016 (Ene and Öztürk, 2017) ELVs √ 2016-2020 (Ochotnicky et al, 2017) ELVs √ Until 2020 (Demirel et al, 2016) ELVs √ 2012-2022 (Sokić et al, 2016) ELVs √ 2015-2025 (Li and Wang, 2015) ELVs √ 2015-2024 (Yano et al, 2015) ELHEVs √ 2010-2030 (Tian et al, 2013) ELVs √ 1995-2012 (Hu and Kurasaka, 2013) ELVs √ 2015,2017,2020 (Yano et al, 2013) ELVs √ 2011-2020 (Phornprapha et al, 2010) ELMs √ 2011-2040 (Andersen et al, 2007) ELVs √ 2005-2030 ( Kilde and Larsen, 2001) ELVs √ Until 2015 *GM: Grey Model, RM: Regression Model, PBM: Population Balance Model, TS: Time Series Model, SM: Statistical Model, IM: Intelligent Method, ELHVs: End-of-life Hybrid Vehicles, ELHEVs: End-of-life Hybrid Electric Vehicles, ELMs: End-of-life Motorcycles.…”
Section: Discussion One: Forecasting Methods Of the Number Of Elvsmentioning
confidence: 99%
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“…In the following sections, we will discuss each method briefly and thoroughly analyze the relevant literature. (Li et al, 2020) ELVs √ 2020-2030 (Xu et al, 2019) ELVs √ 2015-2040 (Yu et al, 2019) ELVs √ 2018-2025 (Wang et al, 2019) ELHVs √ Until 2030 (Lin et al, 2018) ELVs √ 1960-2050 (Xin et al, 2018) ELVs √ 2016-2020 (Hao et al, 2018) ELVs √ 2005-2016 (Ene and Öztürk, 2017) ELVs √ 2016-2020 (Ochotnicky et al, 2017) ELVs √ Until 2020 (Demirel et al, 2016) ELVs √ 2012-2022 (Sokić et al, 2016) ELVs √ 2015-2025 (Li and Wang, 2015) ELVs √ 2015-2024 (Yano et al, 2015) ELHEVs √ 2010-2030 (Tian et al, 2013) ELVs √ 1995-2012 (Hu and Kurasaka, 2013) ELVs √ 2015,2017,2020 (Yano et al, 2013) ELVs √ 2011-2020 (Phornprapha et al, 2010) ELMs √ 2011-2040 (Andersen et al, 2007) ELVs √ 2005-2030 ( Kilde and Larsen, 2001) ELVs √ Until 2015 *GM: Grey Model, RM: Regression Model, PBM: Population Balance Model, TS: Time Series Model, SM: Statistical Model, IM: Intelligent Method, ELHVs: End-of-life Hybrid Vehicles, ELHEVs: End-of-life Hybrid Electric Vehicles, ELMs: End-of-life Motorcycles.…”
Section: Discussion One: Forecasting Methods Of the Number Of Elvsmentioning
confidence: 99%
“…In this equation, Nt means the number of vehicle ownership, and Gt implies the number of ELVs. Survival rate -Vehicle data recorded by vehicle age should be utilized to determine the optimum vehicle survival rate (Phornprapha et al, 2010).…”
Section: Discussion Two: Influence Factorsmentioning
confidence: 99%
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“…The Taiwanese ELV-L recycling program is still under application (EPA-TW, 2015;Fan et al, 2005) and recent assessments claim that the number of recycled motorcycles overpasses the number of recycled cars (Cheng et al, 2012). In recent years the L-vehicle supply chain reorganization for the achievement of satisfactory EoL performances has been proposed using scientific approaches (Kuo et al, 2012;Phornprapha et al, 2010) The evidence coming from such brief review is that a few scenarios for waste production from motorcycle sector have been proposed, thus highlighting the interest on the topic. However, it can also be said that a common method for the description of ELV-L characteristics is missing.…”
mentioning
confidence: 99%