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.

Robust optimization of construction waste disposal facility location considering uncertain factors

Guokai Li
;
Andrea Giordano
2022

Abstract

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.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3463342
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