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Optimizing site selection for construction demolition waste treatment plants considering demand and supply uncertainty: a case study in Chongqing, China.
- Source :
-
Engineering Optimization . Feb2024, Vol. 56 Issue 2, p199-218. 20p. - Publication Year :
- 2024
-
Abstract
- The reasonable location of treatment plants can improve the recovery rate of construction and demolition waste (C&DW). However, most studies ignore the impact of uncertainty or are based on known probability information. This study establishes an optimization site selection model using a robust method, which takes into account the uncertainty of the recycling amount of C&DW and the demand for recycled products. The immune genetic algorithm is applied to solve and analyse the model. Chongqing, the only municipality in south-west China, is taken as a case study. The results show that: (1) transportation costs affect the behaviour of construction contractors in recycling C&DW; (2) site selection schemes and total costs vary with changes in the disturbance ratio and uncertainty level, and the uncertainty of supply has a greater impact on the costs; and (3) when the uncertainty level and disturbance rate reach a certain value, the site selection scheme changes. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 0305215X
- Volume :
- 56
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- Engineering Optimization
- Publication Type :
- Academic Journal
- Accession number :
- 175035187
- Full Text :
- https://doi.org/10.1080/0305215X.2022.2149744