The selection of laboratory equipment supplier is very important for laboratory construction. Because decision makers have different preferences for each term, they may hesitate to make decisions, and the decision-making results will vary from each other. The decision-making process of equipment supplier selection for intelligent logistics laboratory is analyzed. Firstly, collectthe evaluation information of hesitant fuzzy linguistic terms is collected from experts; Secondly, the experts' weightis determined by their consensus and hesitation degree. Then, by improving the ranking position method and optimizing the decision-making method, a highly robust hesitant fuzzy MULTIMOORA group decision-making method is proposed based on probability distribution. Finally, the effectiveness of the method is verified by comparative analysis.