A sustainable HazMat logistic network design considering scale of economy and route sensitivity and solving with Hybrid GA-SA
Researchers have been investigating solutions to the Vehicle Routing Problem (VRP) as a practical means of tackling the rising transportation costs in businesses. The goal is to develop innovative methods that minimize shipping expenses and maximize profits. The transportation of Hazardous Materials...
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| Format: | Article |
| Language: | English |
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Ayandegan Institute of Higher Education,
2024-09-01
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| Series: | International Journal of Research in Industrial Engineering |
| Subjects: | |
| Online Access: | https://www.riejournal.com/article_195842_b0ee21ebe004189826f99c03586c8d06.pdf |
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| author | Razieh Keshavarzfard Azam Naderi |
| author_facet | Razieh Keshavarzfard Azam Naderi |
| author_sort | Razieh Keshavarzfard |
| collection | DOAJ |
| description | Researchers have been investigating solutions to the Vehicle Routing Problem (VRP) as a practical means of tackling the rising transportation costs in businesses. The goal is to develop innovative methods that minimize shipping expenses and maximize profits. The transportation of Hazardous Materials (HazMat) is particularly complex and has attracted significant attention from scholars. When designing logistics networks for HazMat, factors such as time window constraints, uncertainties, vehicle capacity, and mileage capacity in sub-tours need to be considered to minimize overall transportation and pollution costs. This study presents a mathematical model for vehicle routing of HazMat from economic, route sensitivity, and uncertainty perspectives. An optimization approach using a hybrid Genetic and Simulated Annealing (SA) algorithm is then applied to solve the problem. The study includes numerous numerical examples and sensitivity analyses to demonstrate the model's efficacy. The results indicate that an increase in the route sensitivity coefficient leads to an increase in the objective function. Additionally, the effect of demand on the objective function generally increases, although there are instances where it decreases. |
| format | Article |
| id | doaj-art-908a00fed99c4fadb50b36ac74d1ab02 |
| institution | Kabale University |
| issn | 2783-1337 2717-2937 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | Ayandegan Institute of Higher Education, |
| record_format | Article |
| series | International Journal of Research in Industrial Engineering |
| spelling | doaj-art-908a00fed99c4fadb50b36ac74d1ab022025-01-30T15:10:37ZengAyandegan Institute of Higher Education,International Journal of Research in Industrial Engineering2783-13372717-29372024-09-0113325727310.22105/riej.2024.420988.1397195842A sustainable HazMat logistic network design considering scale of economy and route sensitivity and solving with Hybrid GA-SARazieh Keshavarzfard0Azam Naderi1Department of Industrial Engineering, Faculty of Engineering, North Tehran Branch, Islamic Azad University, Tehran, Iran.Department of Industrial Engineering, Faculty of Engineering, North Tehran Branch, Islamic Azad University, Tehran, Iran.Researchers have been investigating solutions to the Vehicle Routing Problem (VRP) as a practical means of tackling the rising transportation costs in businesses. The goal is to develop innovative methods that minimize shipping expenses and maximize profits. The transportation of Hazardous Materials (HazMat) is particularly complex and has attracted significant attention from scholars. When designing logistics networks for HazMat, factors such as time window constraints, uncertainties, vehicle capacity, and mileage capacity in sub-tours need to be considered to minimize overall transportation and pollution costs. This study presents a mathematical model for vehicle routing of HazMat from economic, route sensitivity, and uncertainty perspectives. An optimization approach using a hybrid Genetic and Simulated Annealing (SA) algorithm is then applied to solve the problem. The study includes numerous numerical examples and sensitivity analyses to demonstrate the model's efficacy. The results indicate that an increase in the route sensitivity coefficient leads to an increase in the objective function. Additionally, the effect of demand on the objective function generally increases, although there are instances where it decreases.https://www.riejournal.com/article_195842_b0ee21ebe004189826f99c03586c8d06.pdfhazardous materials logisticsscale of economyhybrid genetic simulated annealing algorithmvehicle routing problem |
| spellingShingle | Razieh Keshavarzfard Azam Naderi A sustainable HazMat logistic network design considering scale of economy and route sensitivity and solving with Hybrid GA-SA International Journal of Research in Industrial Engineering hazardous materials logistics scale of economy hybrid genetic simulated annealing algorithm vehicle routing problem |
| title | A sustainable HazMat logistic network design considering scale of economy and route sensitivity and solving with Hybrid GA-SA |
| title_full | A sustainable HazMat logistic network design considering scale of economy and route sensitivity and solving with Hybrid GA-SA |
| title_fullStr | A sustainable HazMat logistic network design considering scale of economy and route sensitivity and solving with Hybrid GA-SA |
| title_full_unstemmed | A sustainable HazMat logistic network design considering scale of economy and route sensitivity and solving with Hybrid GA-SA |
| title_short | A sustainable HazMat logistic network design considering scale of economy and route sensitivity and solving with Hybrid GA-SA |
| title_sort | sustainable hazmat logistic network design considering scale of economy and route sensitivity and solving with hybrid ga sa |
| topic | hazardous materials logistics scale of economy hybrid genetic simulated annealing algorithm vehicle routing problem |
| url | https://www.riejournal.com/article_195842_b0ee21ebe004189826f99c03586c8d06.pdf |
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