Research on Optimization of Location-Logistics of Hazardous Chemicals Waste Based on Uncertainty Conditions
Based on the full study of the existing literature, in order to effectively solve the technical problems related to the location-transportation routing of hazardous chemicals waste, the multi-objective optimization model of risk, cost and risk equity of transportation and location is established in...
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doaj-f9b5dbdbf5164881ad2b7d9f45f677b42021-02-17T21:12:55ZengAIDIC Servizi S.r.l.Chemical Engineering Transactions2283-92162017-12-016210.3303/CET1762267Research on Optimization of Location-Logistics of Hazardous Chemicals Waste Based on Uncertainty Conditions Haiying WangBased on the full study of the existing literature, in order to effectively solve the technical problems related to the location-transportation routing of hazardous chemicals waste, the multi-objective optimization model of risk, cost and risk equity of transportation and location is established in this paper with considerations of chemicals waste output and uncertainty of processing technologies. This model is verified using an example. Based on the triangular fuzzy membership function, the output of chemicals waste is described by fuzzy description and the measurement methods for location-routing risk equity is constructed. With considerations of the variable costs of the waste disposal center and the location risk, the computational model optimizes the single-objective calculation error. Multi-objective fuzzy model is transformed into multi-objective linear model by using inverse fuzzy algorithm. The results of the case study show that when the variable cost is not considered, the total risk increases by 110.68%; when the location risk is not considered, the total cost increases by 21.35%; when the risk equity is not considered, the total cost decreases by 8.71% and the risk increases by 48.32%. It is proved that the combination optimization of the established multi-objective function will lead to a slight increase in costs, but it will significantly reduce the related risks, so that the location-routing planning scheme can be more consistent with the actual situation and needs. https://www.cetjournal.it/index.php/cet/article/view/1065 |
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DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Haiying Wang |
spellingShingle |
Haiying Wang Research on Optimization of Location-Logistics of Hazardous Chemicals Waste Based on Uncertainty Conditions Chemical Engineering Transactions |
author_facet |
Haiying Wang |
author_sort |
Haiying Wang |
title |
Research on Optimization of Location-Logistics of Hazardous Chemicals Waste Based on Uncertainty Conditions
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title_short |
Research on Optimization of Location-Logistics of Hazardous Chemicals Waste Based on Uncertainty Conditions
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title_full |
Research on Optimization of Location-Logistics of Hazardous Chemicals Waste Based on Uncertainty Conditions
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title_fullStr |
Research on Optimization of Location-Logistics of Hazardous Chemicals Waste Based on Uncertainty Conditions
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title_full_unstemmed |
Research on Optimization of Location-Logistics of Hazardous Chemicals Waste Based on Uncertainty Conditions
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title_sort |
research on optimization of location-logistics of hazardous chemicals waste based on uncertainty conditions |
publisher |
AIDIC Servizi S.r.l. |
series |
Chemical Engineering Transactions |
issn |
2283-9216 |
publishDate |
2017-12-01 |
description |
Based on the full study of the existing literature, in order to effectively solve the technical problems related to the location-transportation routing of hazardous chemicals waste, the multi-objective optimization model of risk, cost and risk equity of transportation and location is established in this paper with considerations of chemicals waste output and uncertainty of processing technologies. This model is verified using an example. Based on the triangular fuzzy membership function, the output of chemicals waste is described by fuzzy description and the measurement methods for location-routing risk equity is constructed. With considerations of the variable costs of the waste disposal center and the location risk, the computational model optimizes the single-objective calculation error. Multi-objective fuzzy model is transformed into multi-objective linear model by using inverse fuzzy algorithm. The results of the case study show that when the variable cost is not considered, the total risk increases by 110.68%; when the location risk is not considered, the total cost increases by 21.35%; when the risk equity is not considered, the total cost decreases by 8.71% and the risk increases by 48.32%. It is proved that the combination optimization of the established multi-objective function will lead to a slight increase in costs, but it will significantly reduce the related risks, so that the location-routing planning scheme can be more consistent with the actual situation and needs.
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url |
https://www.cetjournal.it/index.php/cet/article/view/1065 |
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