Inventory Policies and Supply Chain Coordination under Logistics Route Disruption Risks

Predictable logistics disruptions due to scheduled lockdowns for large-scale events such as the Olympic Games may not only reduce supply chain profits, but also increase carbon emissions. To help solve these problems, an emergency transit policy be applied path is effective solution. However, optimal inventory control needed. This paper proposes optimization model ordering and policies decentralized centralized chains. The considers damping coefficient, acceleration vehicle loading capacity ratio in transit. Our major findings include following. First, profits under centralization are confirmed higher than decentralization. Second, a price discount mechanism can achieve coordination. Third, manufacturers more inclined choose with high coefficient order let their cargo arrive quickly impact of lead time demand fluctuations. Finally, implications our research results emission reductions discussed.