Supplier performance evaluation method and system based on big data analysis
An evaluation method and evaluation system technology, applied in the field of meter supplier performance evaluation, can solve the problems of lack of accuracy and objectivity in scoring by business personnel
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Embodiment 1
[0050] figure 1 It is a flow chart of the performance evaluation method for meter suppliers based on big data analysis provided by Embodiment 1 of the present invention.
[0051] refer to figure 1 , the method includes the following steps:
[0052] Step S101, acquiring source data of multiple target objects, performing preprocessing on the source data of multiple target objects, and obtaining valid data of multiple target objects;
[0053] Specifically, multiple target objects are multiple smart meter suppliers, and the source data of multiple target objects includes annual meter replacement rate, delivery score, full inspection pass rate, random inspection pass rate, annual market share, and smart meter operation quality sampling inspection. Qualified rate and average running time of faulty electric meters. Among them, the annual meter replacement rate is the ratio of the number of old meters replaced by a certain target object in a certain year to the total number of old m...
Embodiment 2
[0099] Figure 4 It is a schematic diagram of a meter supplier performance evaluation system based on big data analysis provided by Embodiment 2 of the present invention.
[0100] refer to Figure 4 , the system includes a preprocessing unit 10 , a conversion unit 20 , a score acquisition unit 30 and a sorting and classification unit 40 .
[0101] A preprocessing unit 10, configured to acquire source data of a plurality of target objects, perform preprocessing on the source data of a plurality of target objects, and obtain valid data of a plurality of target objects;
[0102] A conversion unit 20, configured to convert the effective data of multiple target objects by factor analysis to obtain public factors respectively corresponding to multiple target objects;
[0103] The score acquisition unit 30 is used to obtain the comprehensive scores corresponding to the multiple target objects respectively according to the common factors corresponding to the multiple target objects;...
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