Logistics service quality (LSQ) is one of the key influential factors in the success of an ecommerce business. In view of the complexity of the topic, this paper proposes a novel model for fresh ecommerce cold chain LSQ evaluation based on the catastrophe progression method. In the proposed methodology, first an index system for evaluating the fresh ecommerce cold chain LSQ is established from the perspective of service recipients. Then, the comprehensive weight of each evaluation index is determined using a combination weighting approach based on maximizing deviations and fuzzy set theory. The priority weights and the ranking of the indices are determined using the catastrophe progression method. Finally, the model is applied in a case study of two representative enterprises. The study demonstrates the validity and practical applicability of the proposed model. Also, based on the evaluation results and findings, some improvement suggestions are made for improving the cold chain LSQ of similar kinds of fresh ecommerce companies.

物流服务质量（LSQ）是影响电子商务业务成功的关键因素之一。鉴于该主题的复杂性，本文提出了一种基于突变级数法的新鲜电子商务冷链LSQ评估模型。在所提出的方法中，首先从服务接受者的角度建立了评估新鲜电子商务冷链LSQ的指标体系。然后，使用基于最大偏差和模糊集理论的组合加权方法确定每个评估指标的综合权重。优先权重和索引的排名是使用巨灾进展方法确定的。最后，将该模型应用于两个代表性企业的案例研究。研究证明了该模型的有效性和实用性。此外，根据评估结果和发现，提出了一些改进建议，以改善同类新鲜电商公司的冷链LSQ。