Jeong Yoonjea, Kim Gwang, Moon Ilkyeong
Department of Industrial and Management Systems Engineering, Dong-A University, Busan, 49315 Korea.
Division of Business Administration, Chosun University, Gwangju, 61452 Korea.
Ann Oper Res. 2022 Nov 23:1-34. doi: 10.1007/s10479-022-05068-6.
In this study, we develop a reliable formulation based on a container network flow problem, along with the full implementation of an empty container management strategy in the context of an integer linear programming model. The proposed approach can play a key role in coping with disruption in the network and can offer a proactive measure for effective disruption management to maintain a stable level of reliability in supply capability. To formulate a reliable container network problem, we design the pattern of disruption, a rare and irregular uncertainty, based on binomial coefficients in the objective function. In this way, flow interruption due to disruption can be expressed in node- and arc-failures and can be properly managed. Furthermore, we provide a non-disruptive model based on a deterministic formulation derived from a bast-case scenario. Through numerical illustrations and sensitivity analyses, we conduct in-depth analyses on the impact of disruption in the container supply chain, and a benchmark model based on a bast-case scenario is used to determine disruption costs, for comparative study. In particular, the numerical experiments show that if both maritime and hinterland disruptions are not managed in advance, disruption costs derived from a benchmark model result in a significant surge according to increasing potential disruption risk. Throughout computational experiments, we also found that maritime disruption is more destructive to container supply capability than hinterland disruption is. In particular, critical findings show that when a certain level of threshold is violated, the proposed strategies are completely interrupted in a container supply chain. Therefore, proactive measures to keep up a reliability of container supply in a high-risk region are highly recommended for management side.
在本研究中，我们基于集装箱网络流问题开发了一种可靠的公式化方法，并在整数线性规划模型的背景下全面实施了空箱管理策略。所提出的方法在应对网络中断方面可以发挥关键作用，并可为有效的中断管理提供一种积极主动的措施，以维持供应能力的稳定可靠水平。为了构建一个可靠的集装箱网络问题，我们在目标函数中基于二项式系数设计了中断模式，这是一种罕见且不规则的不确定性。通过这种方式，中断导致的流中断可以用节点和弧故障来表示，并能得到妥善管理。此外，我们基于从最佳情况场景导出的确定性公式提供了一个无中断模型。通过数值示例和敏感性分析，我们对集装箱供应链中断的影响进行了深入分析，并使用基于最佳情况场景的基准模型来确定中断成本，以进行比较研究。特别是，数值实验表明，如果海上和内陆中断都没有提前得到管理，那么根据潜在中断风险的增加，基准模型得出的中断成本会大幅飙升。在整个计算实验中，我们还发现海上中断对集装箱供应能力的破坏比内陆中断更大。特别是，关键发现表明，当违反一定水平的阈值时，所提出的策略在集装箱供应链中会完全中断。因此，强烈建议管理方采取积极措施，在高风险地区保持集装箱供应的可靠性。
