2019
DOI: 10.1016/j.jclepro.2019.117784
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Classification and clustering of the German plastic industry with a special focus on the implementation of low and high temperature waste heat

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Cited by 8 publications
(7 citation statements)
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References 12 publications
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“…Superti et al [42] organised circularity indicators into common groups using hierarchical clustering based on a selection of circular economy projects and frameworks. Dunkelberg et al mapped the German plastic industry using clustering analysis to support waste heat utilisation strategies [43]. Arbolino et al identified homogeneous regions to improve the monitoring and evaluations of regional waste policies [44] based on economic indicators.…”
Section: Cluster Analysis For Identification Of Hubsmentioning
confidence: 99%
“…Superti et al [42] organised circularity indicators into common groups using hierarchical clustering based on a selection of circular economy projects and frameworks. Dunkelberg et al mapped the German plastic industry using clustering analysis to support waste heat utilisation strategies [43]. Arbolino et al identified homogeneous regions to improve the monitoring and evaluations of regional waste policies [44] based on economic indicators.…”
Section: Cluster Analysis For Identification Of Hubsmentioning
confidence: 99%
“…Through “green dot”, the DSD charges the manufacturers or users of the packaging based on the type and quantity of the packaging used. The levy represent a marginal cost imposed by the DSD to collect and sort individual materials ( Dunkelberg et al., 2019 ). A mandatory deposit of €uro 0.25 on non-recycled packaging has been introduced.…”
Section: Resultsmentioning
confidence: 99%
“…As evidenced by the German’s proven experiences, the Green-Bin program is a powerful tool to promote the separation of waste and retrieval of useful materials. So far, over 22 million households in Germany have been involved in the program ( Dunkelberg et al., 2019 ). Needless to say, an effective waste separation at source requires active participation and cooperation from the government, public and private sectors.…”
Section: Resultsmentioning
confidence: 99%
“…This should enable different levels of analysis and insight. Application of data clustering techniques (Dunkelberg et al, 2019) and stream ontologies are part of this step (Nooij, 2014;Gruber, 1995). In the present article, the categories were defined by inspection according to references in the literature; for more sophisticated techniques, a higher amount of data is required.…”
Section: Is Case-base Frameworkmentioning
confidence: 99%