Multiobjective Location Model Design Based on Government Subsidy in the Recycling of CDW

With the generation of a large amount of construction and demolition waste (CDW), many scholars have recently paid more attention to the recycling of CDW. In this paper, we design a classification recycling method based on the degree of CDW availability in the recycling of CDW. Considering the impor...

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Veröffentlicht in:Mathematical problems in engineering Jg. 2017; H. 2017; S. 1 - 9
Hauptverfasser: Zhan, Shalei, Luo, Juanjuan, Wang, Xiaohua, Li, Hongxuan, Fu, Peihua, Zuo, Chao
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Cairo, Egypt Hindawi Publishing Corporation 01.01.2017
Hindawi
John Wiley & Sons, Inc
Schlagworte:
Civil engineering
Classification
Concrete
Construction industry
Construction materials
Demolition
Design for recycling
Engineering
Feasibility studies
Green buildings
Multiple objective analysis
Pareto optimization
Particle swarm optimization
Recycling centers
Reverse logistics
Sensitivity analysis
Statistical models
Subsidies
Waste disposal
China
ISSN:1024-123X, 1563-5147
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Zusammenfassung:With the generation of a large amount of construction and demolition waste (CDW), many scholars have recently paid more attention to the recycling of CDW. In this paper, we design a classification recycling method based on the degree of CDW availability in the recycling of CDW. Considering the important role of the government in reverse logistics, a model of reverse logistics network based on the trade-off between cost and recycling rate is put forward, which is subject to government subsidy. The model includes the location of classification processing center and ensures the best route of transportation. Then, the improved particle swarm optimization algorithm is applied to solve the model to get Pareto frontier by transforming it into a multiobjective integer-programming problem. As a case study, the results of the statistical modeling used in this study indicate the feasibility of the model. Finally, according to the sensitivity analysis of government’s subsidy, we evaluate the effectiveness of this program and its applicability.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1024-123X
1563-5147
DOI:10.1155/2017/9081628