2021
DOI: 10.1016/j.seps.2020.100930
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A stochastic prepositioning model for distribution of disaster supplies considering lateral transshipment

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Cited by 27 publications
(13 citation statements)
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“…Their models aimed to minimise only the inventory costs of the LT-based network in a context of continuous customer demand, without considering routing costs. This same objective has been the subject of several works such as those of [5][6][7][8][9][10].…”
Section: Introductionmentioning
confidence: 91%
See 1 more Smart Citation
“…Their models aimed to minimise only the inventory costs of the LT-based network in a context of continuous customer demand, without considering routing costs. This same objective has been the subject of several works such as those of [5][6][7][8][9][10].…”
Section: Introductionmentioning
confidence: 91%
“…-Time horizon T = (3); -Number of customers: 10 sets of small instances, each set consisting of 5 instances of 5, 10, 15, ..., 50 customers; -Product quantity r i consumed by the customer i at each period : constant over time and randomly generated as an integer number in the interval [10,100]; -Product quantity s made available at the supplier at each period :…”
Section: Implementation and Benchmarksmentioning
confidence: 99%
“…[ 7 , 22 ] for a recent and comprehensive review of prepositioning strategy. Most prepositioning or LA studies involve general natural disasters [ 13 , [23] , [24] , [25] , [26] ], or a specific type, such as flood (Rodríguez-Espíndola et al, 2018), hurricane [ 27 , 28 ] and earthquake [ [29] , [30] , [31] , [32] ], rather than health disasters.…”
Section: Literature Reviewmentioning
confidence: 99%
“…From the perspective of the solution approach, the existing studies have developed heuristic algorithms (such as the differential evolution algorithm, see Ref. [ 23 ] to obtain an approximate solution or employ a commercial solver [ 26 , 33 , 35 ] to solve the problem to optimality. As [ 38 ] mentioned, high-quality solutions should be obtained within a reasonable time from the mathematical models to support the decision-making process in disaster management.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Wang and Nie [ 38 ] further incorporate network mitigation decisions and consider dynamic factors after disasters. Wang et al [ 39 ] propose a stochastic emergency supply planning model considering lateral supplies transshipment among deployed relief storage facilities after disasters. Sanci and Daskin [ 40 ] tackle an integrated location and network restoration problem in disaster relief.…”
Section: Literature Reviewmentioning
confidence: 99%