Green Economy and the Reverse Logistics of Waste Electrical and Electronic Equipment

Marins, Fernando Augusto Silva; Araujo, Marcus Vinicius Faria de

doi:10.14807/ijmp.v7i1.362

Cited by 2 publications

(2 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Worldwide, the main solution found was the involvement of corporate social responsibility by companies acting in the electric and electronic areas. They could use these wastes to reduce external costs, helping to reduce socioeconomic damage (Marins, 2016).…”

Section: Figure No 1: Social Responsibility Initiatives In Accordancmentioning

confidence: 99%

Social Responsibility of Firms and the Impact of Bio-Economy in Intelligent Use of Renewable Energy Source

Andronie¹,

Simion²,

Gurgu³

et al. 2019

View full text Add to dashboard Cite

Through its whole set of activities related to the invention, development, production and use of biological products and processes, bio-economy contributes significantly to the economy and to the progress of society by improving the sustainability of health, nutrition, energy efficiency, industry, environmental protection and human well-being in general. In this study, by creating an overview of the efficiency of renewable energy sources, in the context of sustainable resource management for preserving a healthy, diverse and resilient ecosystem, the research aimed to show the unused renewable energy sources at maximum potential in Romania, what are the reasons for their non-use, what are the opportunities and what are the solutions that can be adopted for the exploitation of these types of renewable energy sources in Romania. In the European Union, geothermal energy has already been well exploited and, in the future, will no longer make a significant contribution to increasing the productivity of renewable energies. Eurostat data was collected and processed using a linear regression model on the primary production of renewable energy in Romania and the rest of the European states for a period of 11 years (2005-2016); at the same time, statistical forecasts were made for the years 2017 and 2018 and was pursued to what extent social responsibility activities of companies is in line with the principles of bio-economy. In Romania, there is a very high potential for both geothermal energy that is insufficiently exploited to date and for the transformation of municipal waste into energy. It also explores the possibility of using intelligent information systems to optimize the exploitation of renewable energy sources. An important role in this effort is made by companies that, by adopting a Social Responsibility Code (CRS), can bring not only benefits, but also create a positive image with favorable consequences for all parties involved.

show abstract

Section: Figure No 1: Social Responsibility Initiatives In Accordancmentioning

confidence: 99%

Social Responsibility of Firms and the Impact of Bio-Economy in Intelligent Use of Renewable Energy Source

Andronie¹,

Simion²,

Gurgu³

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Humans are facing problems regarding the sustainability of the environment, such as increasing waste [1][2][3] and lack of resources [4][5][6]. The peak season of waste electrical and electronic equipment (WEEE) has come [7].…”

Section: Introductionmentioning

confidence: 99%

Kriging Method-Based Return Prediction of Waste Electrical and Electronic Equipment in Reverse Logistics

2021

Applied Sciences

View full text Add to dashboard Cite

In reverse logistics, the accurate prediction of waste electrical and electronic equipment (WEEE) return amount is of great significance to guide electronic enterprises to formulate a reasonable recycling plan, remanufacturing production plan and inventory plan. However, due to the uncertainty of WEEE return, it is a challenge to accurately predict the WEEE return amount of recycling sites. Differently from the existing research methods aiming at the spatial correlation of the recycling amount of recycling sites, a spatial mathematical model based on Kriging method is proposed by this paper to predict the return amount of WEEE in reverse logistics. Based on the second-order randomness of the return amount, the spatial structure of the return amount of the recycling network is analyzed. According to the principle of unbiased prediction and minimum variance, the Kriging space mathematical model of WEEE return amount is derived, and the calculation process of three variograms is given. The results of Monte Carlo simulation and the case study on J company in Shanghai show that it is effective to utilize the Kriging method-based spatial mathematical model to predict the WEEE return of reverse logistics and analyze the spatial correlation structure of each recycling site. The proposed model can accurately predict the WEEE return amounts of unknown sites as well as those of the whole area through the known site data, which provides a novel analysis method and theoretical basis for the prediction of reverse logistics return amount.

show abstract

Green Economy and the Reverse Logistics of Waste Electrical and Electronic Equipment

Abstract: The way globally accepted for the representation of economic growth, and the evolution of a country, does not take into accounts the environmental assets and liabilities. This article suggests a shift this paradigm by implementing green economy concept and

Cited by 2 publications

References 23 publications

Social Responsibility of Firms and the Impact of Bio-Economy in Intelligent Use of Renewable Energy Source

Social Responsibility of Firms and the Impact of Bio-Economy in Intelligent Use of Renewable Energy Source

Kriging Method-Based Return Prediction of Waste Electrical and Electronic Equipment in Reverse Logistics

Contact Info

Product

Resources

About