How to improve WEEE management? Novel approach in mobile collection with application of artificial intelligence

Król, Aleksander; Nowakowski, Piotr; Mrówczyńska, Bogna

doi:10.1016/j.wasman.2016.02.033

Cited by 85 publications

(40 citation statements)

References 42 publications

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“…Thus far, there has been minimal discussion of online collection, as most studies focus on traditional offline collection and the behaviors of collectors or residents (Chi et al, 2014，Sun et al, 2015, offline collection systems (Queiruga et al, 2008, Gallardo et al, 2012, and the impacts of WEEE collection (Baxter et al, 2016, Nelen et al, 2014, Gu et al,2016. Modern digital technologies such as websites or mobile phone applications are used to send waste equipment take-back requests from households (Król et al, 2016), but few scholars have focused on these technologies. Song et al (2016) found that website-based collection systems have become an important area of development and are supported by the Chinese government.…”

Section: Weee Collectionmentioning

confidence: 99%

Digital empowerment in a WEEE collection business ecosystem: A comparative study of two typical cases in China

Sun

Chang

Zuo

et al. 2018

Journal of Cleaner Production

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Affected by the dramatic growth in waste electrical and electronic equipment (WEEE) and the gradual withdrawal of informal collectors, the traditional collection system appears to be undergoing an unprecedented decline in China. However, more than fifty internetbased collection entities have been founded in the past two years in China, reflecting the increased fusion of digital technology and traditional industries. Since these enterprises fully utilize digital technology, dynamic and profitable business ecosystems have been established to boost development. In this paper, two typical internet-based collection enterprises are chosen to represent the C2B (customer to business) and B2B (business to business) online collection models in China, allowing a comparative case study to be performed. The objective of this research is to analyze the structures, digital empowerment activities, and types of WEEE collection business ecosystems. One key result of our study is our map of the structure of WEEE collection business ecosystems, including the identification of key actors, such as suppliers, customers, online platforms, intermediaries and complementors, as well as the definition of links, such as information, material and money flow. The focal platform facilitates other actors by providing structural, psychological and resource empowerment. However, these business ecosystems differ in various ways, including with respect to the role of actors, the direction of information, material and money flow, the intensity of digital empowerment and platform position. Therefore, two types of business ecosystems are generalized: embedded business ecosystems and central business ecosystems. This study not only contributes to the existing business ecosystem literature by introducing digital empowerment but also expands the application areas of digital empowerment by investigating internet-based collection entities in China. Our results are theoretically important and have implications for the practical development of internet-based collection enterprises.

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Section: Weee Collectionmentioning

confidence: 99%

Digital empowerment in a WEEE collection business ecosystem: A comparative study of two typical cases in China

Sun

Chang

Zuo

et al. 2018

Journal of Cleaner Production

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“…Furthermore, a quadratic model might not provide the proper response to describe the variables. Hence, computational intelligence methods have a significant role in this matter …”

Section: Introductionmentioning

confidence: 99%

Evolutionary Prediction of Biohydrogen Production by Dark Fermentation

Akhbari

Ibrahim

Zinatizadeh

et al. 2018

CLEAN Soil Air Water

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The present work is a study of the performance and effect of operational parameters on biohydrogen production from palm oil mill effluent by dark fermentation in batch mode. The process parameters examined are pH (5, 5.5, and 6), temperature (30, 35, and 40 °C), substrate concentration (5000, 12 500, and 20 000 mg L−1) and inoculum volume (20, 25, and 30 mL). The inoculum concentration prepared was 10 000 mg L−1 volatile suspended solids. The experiments were designed by response surface methodology (RSM). The highest chemical oxygen demand (COD) removal, hydrogen percentage (H2%) and hydrogen yield (HY) obtained were 58.3%, 80%, and 4.83 mol H2/mole of COD consumed, respectively. Based on the experimental data obtained with the RSM design, gene expression programming (GEP) was developed to predict the COD removal, hydrogen production, and hydrogen yield as process responses. The projected models were assessed based on the correlation coefficient (R2), root mean square error, mean absolute relative error, scatter index, and BIAS. The results demonstrate that the GEP model outperformed the RSM model and was superior in predicting the response variables. Partial derivative sensitivity analysis was also employed to assess the effect of each variable on COD%, H2%, and HY prediction. The prediction uncertainty for COD%, H2%, and HY was quantified, and the results were ±0.11, ±0.17, and 0.015, respectively. According to the results, the GEP model is more efficient than the RSM model in predicting the experimental data for biological hydrogen production in the dark fermentation process.

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“…Actualmente en Colombia, en los países en desarrollo y en el mundo en general emergen nuevos residuos tales como, los Residuos de Aparatos Eléctricos y Electrónicos -RAEE. Estos son uno de los residuos que más ha amentado su tasa de generación [2,5]. Debido al crecimiento tecnológico de la humanidad, el aumento de ingreso per cápita y las necesidades creadas de comunicaciones y dispositivos tecnológicos a precios competitivos.…”

Section: Introductionunclassified

Evaluación de estrategias para la gestión integral de residuos de aparatos eléctricos y electrónicos

Redondo

Ibarra-Vega

Monroy

et al. 2018

DYNA

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This paper presents a model for the evaluation of strategies in the management of Waste Electrical and Electronic Equipment (WEEE). Waste represents a risk to public health and the environment, the dangerous type compounds that constitute them and the increase of their generation. In Colombia, there is a law of 1672 guidelines for the adoption of a policy that improves the management of WEEE. This Law proposes public management objectives, of which in this article three of them were evaluated (Reduction in generation, incentive to use, promote integrated participation). For this evaluation, a model was built using the Dynamics of Systems methodology, which allowed the establishment of the socio-environmental system structure for the generation and management of WEEE. Likewise, the evaluation scenarios were defined, the first is the initial or natural state that corresponds to the system without any strategy and the second is the system with the implementation of the strategies, which were divided into two groups. One is Economic Circular Strategies, Environmental Education and Job Promotion, and the other group contains the producer's extended liability strategies, citizenship incentives and the collection rate. Model simulations and scenario comparisons showed that the first group of strategies decreased in the generation rate of WEEE. Likewise, they allowed a second group of strategies on disposition rate. Likewise, the proposed model for the management of Waste Electrical and Electronic Equipment is useful for the evaluation of waste management strategies in different scenarios.Keywords: waste; modeling; system dynamics; public management.Evaluación de estrategias para la gestión integral de residuos de aparatos eléctricos y electrónicos ResumenEste artículo presenta un modelo para la evaluación de estrategias en la gestión de Residuos de Aparatos Eléctricos y Electrónicos (RAEE). Estos residuos representan un riesgo para la salud pública y para el medio ambiente, por los compuestos de tipo peligroso que los constituyen y el aumento de su generación. En Colombia existe desde 2013 la ley 1672 lineamientos para la adopción de una política que mejore la gestión de los RAEE. Esta Ley propone objetivos gestión pública, de los cuales en este artículo se evaluaron tres de ellos (Reducción en la generación, incentivo al aprovechamiento, promover la participación integrada). Para esta evaluación, se construyó un modelo utilizando la metodología de Dinámica de Sistemas, la cual permitió establecer la estructura del sistema socio-ambiental de generación y manejo de los RAEE. Así mismo, fueron definidos dos escenarios de evaluación, el primero es el estado inicial o natural que corresponde al sistema sin ninguna estrategia y el segundo es el sistema con la implementación de las estrategias, las cuales se dividieron en dos grupos. Uno es Estrategias de economía circular, educación ambiental y fomento de empleo, y el otro grupo contiene las estrategias de responsabilidad extendida del productor, estímulos de la ciu...

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How to improve WEEE management? Novel approach in mobile collection with application of artificial intelligence

Cited by 85 publications

References 42 publications

Digital empowerment in a WEEE collection business ecosystem: A comparative study of two typical cases in China

Digital empowerment in a WEEE collection business ecosystem: A comparative study of two typical cases in China

Evolutionary Prediction of Biohydrogen Production by Dark Fermentation

Evaluación de estrategias para la gestión integral de residuos de aparatos eléctricos y electrónicos

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