Designing a Multi-Objective Three-Stage Location-Routing Model for Humanitarian Logistic Planning under Uncertainty | ||
| Advances in Industrial Engineering | ||
| دوره 53، شماره 4، زمستان 2019، صفحه 149-167 اصل مقاله (953.12 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/jieng.2021.313355.1744 | ||
| نویسندگان | ||
| Fatemeh Zafari1؛ Davood Shishebori* 2 | ||
| 1Industrial Engineering Department, Yazd University, Yazd, Iran. | ||
| 2Department of Industrial Engineering, Yazd University, Yazd, Iran | ||
| چکیده | ||
| Natural and technological disasters threaten human life all around the world significantly and impose many damages and losses on them. The current study introduces a multi-objective three-stage location-routing problem in designing an efficient and timely distribution plan in the response phase of a possible earthquake. This problem considers uncertainty in parameters such as demands, access to routes, time and cost of travels, and the number of available vehicles. Accordingly, a three-stage stochastic programming approach is applied to deal with the uncertainties. The objective functions of the proposed problem include minimizing the unsatisfied demands, minimizing the arriving times, and minimizing the relief operations costs. A modified algorithm of the improved version of the augmented ε-constraint method, which finds Pareto-optimal solutions in less computational time, is presented to solve the proposed multi-objective mixed-integer linear programming model. To validate the model and evaluate the performance of the methods several test problems are generated and solved by them. The computational results show the satisfactory performance of the proposed methods and effectiveness of the proposed model for delivery of relief commodities in the affected areas. | ||
| کلیدواژهها | ||
| Humanitarian Logistics؛ Location-Routing Problem؛ Disaster Management؛ Multi-Objective Optimization؛ Stochastic Programming | ||
| مراجع | ||
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آمار تعداد مشاهده مقاله: 951 تعداد دریافت فایل اصل مقاله: 1,223 |
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