Urban Construction Waste Recycling Path: Robust Optimization

被引:3
|
作者
Wu, Fan [1 ]
Mei, Shue [1 ]
Xu, Haiying [2 ]
Hsu, Wei-Ling [3 ]
机构
[1] Southeast Univ, Sch Econ & Management, Nanjing 211100, Peoples R China
[2] Huaiyin Normal Univ, Sch Urban & Environm Sci, Huaian 223300, Peoples R China
[3] Jiaying Univ, Sch Civil Engn, Meizhou 514015, Peoples R China
关键词
construction waste; recycling path; uncertainty; robust optimization; REVERSE LOGISTICS; LOCATION MODEL; NETWORK; MANAGEMENT; IMPLEMENTATION; FACILITIES;
D O I
10.3390/buildings13112802
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The world produces a huge amount of urban construction waste each year. Scientific planning of the construction waste recycling path is urgently needed to improve the recycling of construction waste. Existing construction waste recycling models do not pay sufficient attention to the uncertainty of the recycling quantity, which limits their ability to provide support for solving practical problems. The purpose of this paper is to solve the problem of uncertain recycling quantities in optimizing the urban construction waste recycling path. Thus, this paper first builds a recycling model for a deterministic environment with the economic objective as the decision criterion and the transportation flow, construction waste treatment capacity and capability, and environmental and social impact as the constraints. Then, a robust optimization method is adopted to optimize the deterministic model for the uncertainty of the recycling quantity. The data of this paper are from Nanjing, China. The validity of the model and the evolution of the recycling path are tested based on the data of Nanjing. The findings of this paper are as follows: Firstly, the robust model is cost-effective in the face of uncertainty in supply. Secondly, the robust model has greater total treatment capacity. Even in the worst-case scenario, it can guarantee a higher treatment capacity. Thirdly, both models follow the proximity principle which reduces the transportation costs and only slowly increases the total cost of the robust model. This paper provides a scientific and convenient tool to plan the recycling path of construction waste in large cities.
引用
收藏
页数:17
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