A stochastic optimization framework for planning of waste collection and value recovery operations in smart and sustainable cities
A stochastic optimization framework for planning of waste collection and value recovery operations in smart and sustainable cities
复制标题
用于规划智能和可持续城市中废物收集和价值回收运营的随机优化框架
DOI：
10.1016/j.wasman.2018.05.019
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发表时间：
2018
期刊：
影响因子：
8.1
通讯作者：
Behdad, Sara
中科院分区：
文献类型：
--
作者：
Jatinkumar Shah, Parth;Anagnostopoulos, Theodoros;Zaslavsky, Arkady;Behdad, Sara
城市2.0或智慧城市的概念为处理废物管理实践提供了新的机会。现有的研究已经开始解决智慧城市的废物管理问题，主要是通过关注新的基于传感器的物联网（IoT）技术的设计，以及优化废物收集车的路线，以最大限度地降低运营成本、能源消耗和运输污染排放。在本研究中，强调了从垃圾桶中回收价值的重要性。建立了一个基于机会约束规划的随机优化模型来优化垃圾收集作业的规划。所提出的优化模型的目标是最小化总运输成本，同时最大化回收仍然嵌入在垃圾箱中的价值。将收集到的垃圾价值建模为一个不确定参数，以反映由于垃圾状况和质量的不确定性，每个垃圾桶可以回收的不确定价值。通过数值算例说明了该模型的应用。这项研究为将价值回收方面纳入废物收集规划和开发新的数据采集技术开辟了新的场所，使市政当局能够监测单个垃圾箱中可回收物的混合。
The concept of City 2.0 or smart city is offering new opportunities for handling waste management practices. The existing studies have started addressing waste management problems in smart cities mainly by focusing on the design of new sensor-based Internet of Things (IoT) technologies, and optimizing the routes for waste collection trucks with the aim of minimizing operational costs, energy consumption and transportation pollution emissions. In this study, the importance of value recovery from trash bins is highlighted. A stochastic optimization model based on chance-constrained programming is developed to optimize the planning of waste collection operations. The objective of the proposed optimization model is to minimize the total transportation cost while maximizing the recovery of value still embedded in waste bins. The value of collected waste is modeled as an uncertain parameter to reflect the uncertain value that can be recovered from each trash bin due to the uncertain condition and quality of waste. The application of the proposed model is shown by using a numerical example. The study opens new venues for incorporating the value recovery aspect into waste collection planning and development of new data acquisition technologies that enable municipalities to monitor the mix of recyclables embedded in individual trash bins.