Non-standard part supplier manufacturing capability analysis method and device based on analytic hierarchy process

Abstract

The invention discloses a non-standard part supplier manufacturing capability analysis method and device based on the analytic hierarchy process. The method comprises steps that an analysis indicatordatabase is constructed, including multiple analysis indicator grades and corresponding analysis indicators; demands of a demand side are acquired to construct an evaluation model, including multipleanalysis indicator grades and analysis indicators; importance measure comparison of the analysis indicators is carried out for the analysis indicators grade by grade; an analysis indicator determination matrix is constructed step by step for the analysis indicator grades, conditions satisfying acceptable consistency are further determined, scoring rules and scores for each analysis indicator are further acquired, and effect scores are acquired through weighting; the effect scores of each analysis indicator are added to acquire the final evaluation score of each supplier; the final scores of the suppliers are ordered according to ordering rules. The method is advantaged in that through constructing the analysis indicator database, the corresponding evaluation model is rapidly and accuratelydetermined according to specific conditions of the demand side, and supplier evaluation accuracy and the speed are enhanced.

Description

technical field [0001] The present application relates to the technical field of computer analysis, in particular to a device for analyzing the manufacturing capabilities of non-standard parts suppliers based on the Analytic Hierarchy Process. Background technique [0002] In the field of supply chain, when the demand side puts forward the demand for parts processing, it is often necessary to evaluate the manufacturing capabilities of the parts processing manufacturers. The usual method is to quantitatively evaluate the manufacturing capabilities of the processing manufacturers from a single dimension; or from Several dimensions are simply integrated to evaluate its value. For example, for a certain non-standard component, evaluate the manufacturing capabilities of each processing factory. [0003] The existing schemes include the split method and the simple comprehensive weighting method. The split method separates several analysis indicators for evaluation and comparison...

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Problems solved by technology

[0004] However, these two schemes have the following disadvantages: 1). Dimensionless: the scores of the existing manufacturing capacity impact factors are calculated based on absolute or relative quantities to obtain their quantitative values, while the number of different manufacturing capacity impact factors, the unit There are differences in quantification (that is, the order of magnitude is different, different data levels are not comparable, and the calculation scale is inconsistent)

2). Insufficient accuracy: Different manufacturing capacity influencing factors show different effects on each index. If you simply assign a weight value to each index and score after weighting, or take a certain index for comparison, it is not accurate enough and cannot be effective. Evaluate the optimal manufacturing capacity influencing factors and promote them

3). The reuse rate is not high, the evaluation structure is arbitrary, separate evaluations are carried out for different demand parties, and the visualization utilization rate of evaluation data is not high

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