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
相关论文
共 50 条
  • [21] Designing recycling networks for construction and demolition waste based on reserve logistics research field
    Pan, Xiyu
    Xie, Qiu
    Feng, Yingbin
    JOURNAL OF CLEANER PRODUCTION, 2020, 260
  • [22] Optimization of site selection for construction and demolition waste recycling plant using genetic algorithm
    Liu, Jingkuang
    Xiao, Yanqing
    Wang, Dong
    Pang, Yongshi
    NEURAL COMPUTING & APPLICATIONS, 2019, 31 (Suppl 1) : 233 - 245
  • [23] Robust optimization of agriculture products urban distribution path considering demand uncertainty
    Liu, Shouchen
    Zhang, Cheng
    ALEXANDRIA ENGINEERING JOURNAL, 2023, 66 : 155 - 165
  • [24] Optimization of the rural domestic waste recycling network based on the path planning site selection model
    Chen, Jie
    Wang, Yufei
    Lei, Xiaoyu
    Wang, Xi
    FRONTIERS IN ENVIRONMENTAL SCIENCE, 2024, 12
  • [25] Research on Optimization of Waste Material Recycling Logistics of Hubei Province Based on "Internet plus "
    Cao, Lu
    Xu, Gongzhuo
    PROCEEDINGS OF THE FIRST INTERNATIONAL SYMPOSIUM ON MANAGEMENT AND SOCIAL SCIENCES (ISMSS 2019), 2019, 309 : 23 - 28
  • [26] Interactive decisions of the waste producer and the recycler in construction waste recycling
    Liu, Jing
    Nie, Jiajia
    Yuan, Hongping
    JOURNAL OF CLEANER PRODUCTION, 2020, 256
  • [27] Spatial Distribution of Construction Waste Recycling Facilities
    Gao, Si-Yan
    Liu, Yang
    Zhou, Yuan-Yang
    Zhang, Min
    SENSORS AND MATERIALS, 2020, 32 (11) : 3975 - 3990
  • [28] Environmental feasibility of recycling construction and demolition waste
    Atta, I.
    Bakhoum, E. S.
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, 2024, 21 (03) : 2675 - 2694
  • [29] Construction and demolition waste as a source of PVC for recycling
    Darbello Prestes, Sabrina Moretto
    Mancini, Sandro Donnini
    Rodolfo, Antonio, Jr.
    Keiroglo, Raquel Carramillo
    WASTE MANAGEMENT & RESEARCH, 2012, 30 (02) : 115 - 121
  • [30] Multi-agent evolutionary game in the recycling utilization of construction waste
    Su, Yongbo
    SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 738