Logistics service mode selection based on decision-tree model and grey multi-criteria risk decision-making method

The selection of logistics service mode is a strategic decision-making for the development of logistics; complicated circumstances require that the service mode can meet not only the needs of markets, but also the emergency outside. The purpose of this paper is to present what we believe is a useful way to select the optimal logistics service mode assuming there are two possible statuses of the environment-normal status and emergency status. Based on the analysis of logistics service demand and logistics service capability, and by choosing the significant evaluating criteria, a decision-tree model was presented and solved using grey multi-criteria risk decision-making and grey fuzzy relationship method. Finally, simulation results of the model are given. Our methodology will help logistics service providers as well as academics that are considering such issues.