scholarly journals Research on Intelligent Management of Municipal Solid Waste Emergency Supply Chain Based on Computer EPC Internet of Things System Environment

2021 ◽  
Vol 1744 (2) ◽  
pp. 022044
Author(s):  
Jiang Zou ◽  
Yujia Chen
2021 ◽  
Vol 13 (17) ◽  
pp. 9855
Author(s):  
Xiaoyu Yang ◽  
Xiaopeng Guo ◽  
Kun Yang

The output of municipal solid waste is growing rapidly, which has brought tremendous pressure to urban development. The supply chain of municipal solid waste (MSW) in China mainly contains three processes: collection, transportation, and disposal. The waste is sorted at the collection and disposed of according to the classification. However, it is mixed at the transportation stage. Mixed transportation remixes the separately collected waste, which seriously affects the disposal effect. The supply chain of MSW urgently needs to be redesigned to improve the MSW disposal effect. First of all, on the ground of the waste treatment situation, we redesigned the supply chain of MSW in China. Secondly, combined with the redesign of the MSW supply chain, this paper established the function allocation model for collection stations, making a collection station only gather one type of waste, and built the transportation path planning model for vehicles, reducing the impact of waste storage on residents. Finally, based on the data of Xuanwu District in Beijing, the supply chain redesigning practical example of incinerable waste was given. The supply chain redesigning model in this paper not only makes full use of the existing infrastructure but also improves the disposal effect of waste. The supply chain redesigning model has practical application value.


Author(s):  
Hadi Sahebi ◽  
Mahsa Ghadami ◽  
Mirsaman Pishvaee ◽  
Hani Gilani

Fossil fuels, as the primary source of the energy supply in today's global society, are being depleted much faster than expected and are raising serious environmental and social concerns for contemporary societies. To deal with issues, a global movement towards the generation of sustainable renewable energy is underway. One of the most promising sources of renewable energy alternatives is the use of municipal solid waste, as a biomass source since it does not endanger food security and considerably the biomass made by municipal solid waste will enable the appropriate management of the waste and help cities to be sustainable. The supply chain of converting the municipal solid waste to bioenergy is a challenging issue that have attracted the attention of academic and industrial research. In this direction, a three-echelon mathematical model is developed to design MSW-to-biofuel supply chain network. This supply network is a global network; hence, the international supply chain-related issues and the disruption in the raw material supply have also been studied. Identifying appropriate potential locations to site facilities is a challenge faced in the municipal solid waste-to-biofuel supply chain models. To achieve goal, in this research, the use has been made of a proposed sustainable cross-efficiency DEA model which is an effective ranking method, especially for finding potential points. To deal with sustainability, the social and environmental indicators have also been presented in the form of some criteria in this DEA method. In addition, effort has been made to improve the ecological indicators of the supply chain design in line with the sustainable development as an objective function. Finally, in order to validate the proposed model, a case study with real data is presented.


2015 ◽  
Vol 768 ◽  
pp. 797-803 ◽  
Author(s):  
Ruo Chen Song ◽  
Xiao Fei Sun ◽  
Yang Zheng ◽  
Hua Long Hu ◽  
Jin Hui Li

the application of Internet of things (IoT) technology in solid waste management was analyzed, including key areas such as municipal solid waste (MSW), medical waste, hazardous waste, and waste electrical and electronic equipment (WEEE) management. Elaborates further in various fields of the main form of application and the application level at this stage. Also briefly analyses the trend and the direction of the development of the application.


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