A logistics performance evaluation method based on improved dea ahp

Abstract

The invention discloses a logistics performance evaluation method based on improved DEA-based AHP, which includes collecting real data in actual logistics scenarios; selecting logistics system characteristic indicators according to the entire logistics process, and performing data normalization on the logistics system characteristic indicators; Select the characteristic indicators of the logistics system and the AHP hierarchical analysis method to build a systematic rating index system; then build a judgment matrix based on the improved DEA, and through the single-level sorting and the total level sorting, and perform consistency checks, output each layer of the rating index system Index evaluation score; adjust the operating efficiency of the entire logistics system according to the index evaluation scores of each layer, and diagnose low-efficiency links. The present invention builds an index system for the entire logistics process, constructs a judgment matrix based on AHP and integrates the DEA method, determines the weight of the pure data to obtain the score of the index, measures the operating efficiency of the entire logistics system, and diagnoses the results of each link Optimize the low-efficiency links.

Description

technical field [0001] The invention relates to the technical field of logistics performance evaluation, in particular to an AHP logistics performance evaluation method based on improved DEA. Background technique [0002] At present, the mainstream logistics performance evaluation methods mainly include the following methods: Analytic Hierarchy Process (AHP), Gray Relational Analysis, Fuzzy Comprehensive Evaluation, Data Envelopment Analysis (DEA) and other methods. However, the above-mentioned single methods all have their own shortcomings. [0003] The analytic hierarchy process has insufficient decision-making power when evaluating; the gray relational analysis method requires the sample data to have time series characteristics, and only makes a distinction between the pros and cons of the evaluation object, and does not reflect the absolute level; the efficacy coefficient method, between the target value and There is great difficulty in scoring selected individual items...

AI Technical Summary

Problems solved by technology

[0004] Problems existing in the existing technology: First, the existing selected data cannot cover the entire link of logistics, and cannot diagnose the performance of all links of the logistics system. The evaluation direction is single and not portable; second, different companies evaluate logistics performance The focus of the research is different, so the effect of different historical time periods can only be compared vertically within the enterprise, but the performance of different factories in different enterprises cannot be compared horizontally; the third is the existing DEA combined with multiple methods for logistics evaluation before scoring results Index weight comparisons are not carried out, resulting in low credibility of scoring results; Fourth, when the existing DEA method constructs a judgment matrix, most of the results obtained are qualitative, and the accuracy is not high, and it is not convincing

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