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基于区块链的固体废物管理可追溯性系统的成本分析与优化。

Cost analysis and optimization of Blockchain-based solid waste management traceability system.

机构信息

Mechanical and Aerospace Engineering, University at Buffalo, SUNY, Buffalo, NY 14260, United States.

Department of Environmental Engineering Sciences, University of Florida, Gainesville, FL 32611, United States.

出版信息

Waste Manag. 2021 Feb 1;120:594-607. doi: 10.1016/j.wasman.2020.10.027. Epub 2020 Dec 4.

Abstract

As global concerns over End-of-Life (EoL) wastes released to the environment is rising, the need for enhancing the transparency of recycling systems is growing. To address the waste traceability issue, technologies such as Blockchain can be instrumental in the proper disposal and handling of wastes. In this paper, we propose a Blockchain-based Solid Waste Management (SWM) model that can help municipalities enhance the efficiency of their waste management efforts. A Blockchain framework owned and controlled by a municipality is proposed in which customer companies pay to join the platform to avail services from the suppliers managed by the municipality. The cost burdens to both supplier and consumer companies have been discussed. In addition, an optimization model is developed to determine the optimal quantity of waste that can be traded between supplier and consumer companies in order to maximize their profit based on parameters such as the number of suppliers, consumer companies, and the processing capacity of customer companies and several constraints including maximum storing capacity, storage, and transportation constraints. Further, the cost aspects associated with Blockchain implementation are estimated from several use cases obtained from companies providing Blockchain solutions.

摘要

随着人们对环境中释放的临终废物的全球关注不断增加,提高回收系统透明度的需求日益增长。为了解决废物可追溯性问题,区块链等技术可以在废物的妥善处置和处理方面发挥作用。在本文中,我们提出了一个基于区块链的固体废物管理 (SWM) 模型,该模型可以帮助市政府提高其废物管理工作的效率。提出了一个由市政府拥有和控制的区块链框架,其中客户公司付费加入平台,以从市政府管理的供应商处获得服务。讨论了供应商和消费者公司的成本负担。此外,还开发了一个优化模型,以确定供应商和消费者公司之间可以交易的最佳废物数量,以便根据供应商、消费者公司的数量以及客户公司的处理能力等参数,使他们的利润最大化,并考虑了最大存储容量、存储和运输等几个约束条件。此外,还根据提供区块链解决方案的公司提供的几个用例,估算了与区块链实施相关的成本。

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