An approximation approach to a trade-off among efficiency, efficacy, and balance for relief pre-positioning in disaster management
| Autor: | Reza Tavakkoli-Moghaddam, Naoufel Cheikhrouhou, Alireza Taheri-Moghaddam, Mohammad Rezaei-Malek |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Balance (metaphysics)
0209 industrial biotechnology Engineering 021103 operations research Emergency management Operations research business.industry 0211 other engineering and technologies Transportation 02 engineering and technology Multi-objective optimization Stochastic programming Constraint (information theory) Set (abstract data type) 020901 industrial engineering & automation Work (electrical) Business and International Management business Civil and Structural Engineering |
| Zdroj: | Transportation Research Part E: Logistics and Transportation Review. 93:485-509 |
| ISSN: | 1366-5545 |
| DOI: | 10.1016/j.tre.2016.07.003 |
| Popis: | This work develops a multi-objective, two-stage stochastic, non-linear, and mixed-integer mathematical model for relief pre-positioning in disaster management. Improved imbalance and efficacy measures are incorporated into the model based on a new utility level of the delivered relief commodities. This model considers the usage possibility of a set of alternative routes for each of the applied transportation modes and consequently improves the network reliability. An integrated separable programming-augmented e -constraint approach is proposed to address the problem. The best Pareto-optimal solution is selected by PROMETHEE-II. The theoretical improvements of the presented approach are validated by experiments and a real case study. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect