Robust optimization of construction waste disposal facility location considering uncertain factors

被引:26
作者
Li, Guokai [1 ,2 ]
Liu, Jingkuang [2 ]
Giordano, Andrea [1 ]
机构
[1] Univ Padua, Dept Civil Environm & Architectural Engn DICEA, Padua, Italy
[2] Guangzhou Univ, Sch Management, Guangzhou, Peoples R China
关键词
Construction waste disposal facility; Robust facility location model; Uncertainty; Waste supply; Transportation cost; MUNICIPAL SOLID-WASTE; DEMOLITION WASTE; TRANSFER STATIONS; ECONOMIC-IMPACT; SYSTEM; MODEL; MANAGEMENT; DESIGN; ENVIRONMENT; SITE;
D O I
10.1016/j.jclepro.2022.131455
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The location of a construction waste disposal facility is a vital part of recycling construction waste strategy. Many factors affect the location especially, ignoring uncertain factors can lead to inaccurate results, resulting in an inappropriate location. Therefore, waste supply and transportation cost, as two uncertain factors, were highlighted in current study. Based on the traditional nominal facility location model approach and considered the uncertainty of two parameter intervals. Thus, a novel robust facility location model is established in the hybrid programming of CPLEX and MATLAB. Results show that: (1) the supply uncertainty costs of construction waste transfer stations and transportation significantly affected the total costs of waste disposal, the total costs of location and site allocation scheme of construction waste disposal facilities were more sensitive to changes in waste supply. (2) As the combination value of the uncertainty level parameter increases (2%, 7%, 10%), the optimal total cost sum and alpha also increases, and its changing trend is from obvious to slow. (3) The optimal cost of the distribution and disposal facility layout of the construction waste transit station was determined taking Guangzhou for example. This study provided a scientific and effective method for the location of construction waste disposal facilities by considering multiple uncertain factors. This can also help stakeholders reduce the costs of the distribution net and choose appropriate interval value according to preference for risk.
引用
收藏
页数:15
相关论文
共 73 条
  • [1] Alliance C.E.P., 2021, ANN DEV REP CONSTR W
  • [2] A new model for the hazardous waste location-routing problem
    Alumur, Sibel
    Kara, Bahar Y.
    [J]. COMPUTERS & OPERATIONS RESEARCH, 2007, 34 (05) : 1406 - 1423
  • [3] Review of municipal waste management charging methods in different countries
    Alzamora, Bruno Ribas
    Barros, Raphael Tobias de, V
    [J]. WASTE MANAGEMENT, 2020, 115 : 47 - 55
  • [4] A Multi-Objective Facility Location Model to Implement Circular Economy
    Bal, Alperen
    Badurdeen, Fazleena
    [J]. 30TH INTERNATIONAL CONFERENCE ON FLEXIBLE AUTOMATION AND INTELLIGENT MANUFACTURING (FAIM2021), 2020, 51 : 1592 - 1599
  • [5] Robust solutions of uncertain linear programs
    Ben-Tal, A
    Nemirovski, A
    [J]. OPERATIONS RESEARCH LETTERS, 1999, 25 (01) : 1 - 13
  • [6] Oracle-Based Robust Optimization via Online Learning
    Ben-Tal, Aharon
    Hazan, Elad
    Koren, Tomer
    Mannor, Shie
    [J]. OPERATIONS RESEARCH, 2015, 63 (03) : 628 - 638
  • [7] Impact of elevated temperatures on the structural performance of recycled rubber concrete: Experimental and mathematical modeling
    Bengar, Habib Akbarzadeh
    Shahmansouri, Amir Ali
    Sabet, Nader Akkas Zangebari
    Kabirifar, Kamyar
    Tam, Vivian W. Y.
    [J]. CONSTRUCTION AND BUILDING MATERIALS, 2020, 255
  • [8] Robust Facility Location Problem for Hazardous Waste Transportation
    Berglund, Paul G.
    Kwon, Changhyun
    [J]. NETWORKS & SPATIAL ECONOMICS, 2014, 14 (01) : 91 - 116
  • [9] The price of robustness
    Bertsimas, D
    Sim, M
    [J]. OPERATIONS RESEARCH, 2004, 52 (01) : 35 - 53
  • [10] Robust discrete optimization and network flows
    Bertsimas, D
    Sim, M
    [J]. MATHEMATICAL PROGRAMMING, 2003, 98 (1-3) : 49 - 71