Zhang Jiang-Hua, Sun Xiao-Qing, Zhu Rui, Li Ming, Miao Wang
School of Management, Shandong University, Jinan, Shandong, China.
School of Business Administration, Qilu University of Technology, Jinan, Shandong, China.
PLoS One. 2017 Oct 27;12(10):e0186747. doi: 10.1371/journal.pone.0186747. eCollection 2017.
Emergency rescue material reserves are vital for the success of emergency rescue activities. In this study, we consider a situation where a government owned distribution center and framework agreement suppliers jointly store emergency rescue materials. Using a scenario-based approach to represent demand uncertainty, we propose a comprehensive transportation pattern for the following supply chain: "suppliers-government distribution center-disaster area." Using a joint reserves model that includes the government and framework agreement suppliers, we develop a non-linear mathematic model that determines the choices of the framework suppliers, the corresponding optimal commitment quantities, and the quantity of materials that are stored at a government distribution center. Finally, we use IBM ILOG CPLEX to solve the numerical examples to verify the effectiveness of the mode and perform sensitivity analyses on the relevant parameters.
应急救援物资储备对于应急救援活动的成功至关重要。在本研究中,我们考虑一种情况,即政府拥有的配送中心和框架协议供应商共同存储应急救援物资。使用基于情景的方法来表示需求不确定性,我们为以下供应链提出了一种综合运输模式:“供应商 - 政府配送中心 - 灾区”。通过使用一个包括政府和框架协议供应商的联合储备模型,我们开发了一个非线性数学模型,该模型确定框架供应商的选择、相应的最优承诺数量以及存储在政府配送中心的物资数量。最后,我们使用IBM ILOG CPLEX来求解数值示例,以验证该模式的有效性并对相关参数进行敏感性分析。