第三方物流服务商特征属性的前沿评价

Nonparametric Frontiers Evaluation of Eigenvalue Attributes of Third-Party Logistics Providers

为了设计一个适合第三方物流服务商的评价方法,建立了15个分类指标的评价指标体系,其中每个指标划分为5个等级,依据第三方物流服务商的绩效水平确定其所处等级,得到原始评价值.将备选服务商的同一分类指标的原始评价值两两比较,求出15个分类指标下服务商的相对优先矩阵,对每个相对优先矩阵计算其特征属性向量,然后采用限定分类指标权重顺序的非参数前沿绩效评估方法对服务商进行评价,得到第三方物流服务商的优先排序向量,为企业选择第三方物流服务商提供依据.最后,设计了2个算例,对算法的可靠性进行验证.

To design an evaluation method for third-party logistics providers (3PLPs) , an evaluation system consisting of 15 classification criteria was proposed, and its each criterion was graded into 5 levels. Three steps are included in evaluating the third-party logistics providers (3PLPs). The first is to give all the 3PLP candidates a score one by one for each criterion, varying from the highest 5 to the lowest 1. The second is to compare two 3PLP candidates with a classification criterion each time, and after all the candidates have been taken into account, 15 relative priority matrixes can be obtained and their eigenvalue attribute vectors can also be computed. The third is to design a nonparametric frontier algorithm with a constraint of an ordered set of preference weights for the classification criteria, so a sorted priority vector of the 3PLP candidates can be gained by using this algorithm to provide enterprises with an evidence for selecting a 3PLP. At the end, 2 verifying cases were designed to validate the reliability of the evaluation model.