College of Mechanical Engineering, Chongqing University, Chongqing 400044, China.
School of Management Science and Real Estate, Chongqing University, Chongqing 400044, China.
Int J Environ Res Public Health. 2019 Aug 19;16(16):2982. doi: 10.3390/ijerph16162982.
In order to solve the optimization problem of emergency logistics system, this paper provides an environmental protection point of view and combines with the overall optimization idea of emergency logistics system, where a fuzzy low-carbon open location-routing problem (FLCOLRP) model in emergency logistics is constructed with the multi-objective function, which includes the minimum delivery time, total costs and carbon emissions. Taking into account the uncertainty of the needs of the disaster area, this article illustrates a triangular fuzzy function to gain fuzzy requirements. This model is tackled by a hybrid two-stage algorithm: Particle swarm optimization is adopted to obtain the initial optimal solution, which is further optimized by tabu search, due to its global optimization capability. The effectiveness of the proposed algorithm is verified by the classic database in LRP. What's more, an example of a post-earthquake rescue is used in the model for acquiring reliable conclusions, and the application of the model is tested by setting different target weight values. According to these results, some constructive proposals are propounded for the government to manage emergency logistics and for the public to aware and measure environmental emergency after disasters.
为了解决应急物流系统的优化问题，本文从环保角度出发，结合应急物流系统的整体优化思想，构建了以多目标函数（包括最小配送时间、总成本和碳排放）为目标的应急物流模糊低碳开放式选址-路径问题（FLCOLRP）模型。考虑到灾区需求的不确定性，本文采用三角模糊函数来获取模糊需求。该模型采用混合两阶段算法进行求解：采用粒子群算法获得初始最优解，然后进一步采用禁忌搜索算法进行优化，以发挥其全局优化能力。通过经典的 LRP 数据库验证了所提出算法的有效性。此外，还通过一个震后救援的实例来验证模型的可靠性，并通过设置不同的目标权重值来检验模型的应用。根据这些结果，本文为政府管理应急物流以及公众在灾害后提高环境应急意识和度量能力提出了一些建设性建议。
