Network Design Problem
Network Design Problem
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通讯作者：
Mohammad Daneshvar;Sanjay Dominik;Walter Rei
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作者：
Mohammad Daneshvar;Sanjay Dominik;Walter Rei
。近年来，自然灾害后人道主义供应链网络(HSCN)的设计和运行逐渐引起学术界的关注。我们提出了一种优化方法来解决自然灾害后的HSCN规划问题。考虑到运营的准确建模在决策过程中所起的关键作用，我们的目标是分析在规划范围内积累的未满足需求的影响，以便更好地理解和应对自然灾害。为此，我们通过引入扩散因子，显式地考虑了在不确定条件下未满足的需求在时间上的影响。我们建立了一个两阶段随机模型，该模型保留了与需求以及运输和储存能力有关的不确定性。然后，我们使用2018年印度尼西亚地震的真实数据进行案例研究。通过一系列实验研究了问题的各个方面，包括建模不确定性的重要性，预算对解决方案性能的影响，以及扩散因素在准确理解危机中的作用。设计实验的结果验证了在HSCN设计问题中考虑不确定性的重要性。此外，根据所获得的结果，考虑较低的扩散系数参数值可能会因为不准确地呈现危机的深度而误导决策者，从而增加对人们健康的损害。
. The design and operation of humanitarian supply chain networks (HSCN) after natural disasters have progressively attracted interest from academia over recent years. We propose an optimization methodology to solve the HSCN planning problem occurring after a natural disaster. Considering the crucial role accurate modeling of the operations plays in the decision-making process, we aim to analyze the effect of unmet demand accumulating over the planning horizon in order to better understand and respond to natural disasters. To this end, we explicitly consider the impact of unmet demand through time under uncertain conditions by introducing a spread factor. We develop a two-stage stochastic model that retains the uncertainty pertaining to the demand along with the transportation and storage capacities of the HSCN. Then, we address a case study with real-world data from the 2018 earthquake in Indonesia. Various aspects of the problem are studied over a set of experiments, including the importance of modeling uncertainty, the effect of the budget on the solution performance, and the role of the spread factor in the accurate understanding of the crisis. The results obtained from the designed experiments verify the importance of considering uncertainty in the HSCN design problem. Furthermore, according to the obtained results, considering lower values for the spread factor parameter can irreparably misguide the decision-makers by an inaccurate presentation of the crisis' depth and consequently increase the damage caused to people's health.