CN113420947A

CN113420947A - Evaluation method and device for electrician equipment suppliers based on Internet of things

Info

Publication number: CN113420947A
Application number: CN202110380351.XA
Authority: CN
Inventors: 崔强; 孙萌; 张敬伟; 耿庆; 王军; 李凌; 孔宪国; 邹兰青; 卞龙江; 陈曦; 王胜
Original assignee: State Grid Shanghai Electric Power Co Ltd; Beijing Guodiantong Network Technology Co Ltd; State Grid Materials Co Ltd
Current assignee: State Grid Shanghai Electric Power Co Ltd; Beijing Guodiantong Network Technology Co Ltd; State Grid Materials Co Ltd
Priority date: 2021-04-08
Filing date: 2021-04-08
Publication date: 2021-09-21

Abstract

The invention provides an evaluation method and device of an electrician equipment supplier based on the Internet of things, which comprises the following steps: acquiring ideal suppliers and benchmarking indexes of all suppliers based on materials; the benchmarking index is used for reflecting the supplier ranking of each benchmarking parameter of the materials; calculating each pair of standard index distances of the same-class material suppliers and the ideal suppliers, wherein the pair of standard index distances are the difference values of each pair of standard indexes between the material suppliers and the ideal suppliers; calculating a benchmarking index of each supplier, wherein the benchmarking index is an average value of the benchmarking index distances of each supplier; and evaluating the suppliers according to the benchmarking indexes. The evaluation method provided by the invention overcomes the influence of personal preference factors, has more objective evaluation results, and is not limited by the number of the benchmarking indexes.

Description

Evaluation method and device for electrician equipment suppliers based on Internet of things

Technical Field

The invention relates to the field of power grid equipment purchasing, in particular to an evaluation method and device of an electrical equipment supplier based on the Internet of things.

Background

The safety of the power equipment is a basic requirement for guaranteeing the safe operation of the power grid. With the rise of the internet of things technology, a plurality of electrician equipment internet of things platforms are established in the industry. The production equipment of the Internet of things interconnection manufacturing enterprise is equipped by electricians, the manufacturing process data and the test data of the equipment are sensed in real time, so that the product quality management and control of both the supply and demand parties are facilitated, and the equipment quality is improved. And the business data and the production data of the whole industry are gathered through the Internet of things platform, so that the big data analysis is facilitated. The evaluation of the quality of a manufacturing enterprise is difficult to measure through one or more indexes, and in supply chain management, the number of indexes of a supplier evaluation system is large, and a benchmarking supplier with overall optimization of the indexes is difficult to find as the evaluation indexes are more.

At present, the common practice is to give a weight to each index according to experience and preference, and select a benchmarking supplier by a weighted average method. The method needs a large amount of prior knowledge and experience, is not suitable for excessive target indexes, and has an objective result.

Disclosure of Invention

In view of the above, the present invention provides an evaluation method and apparatus for an electrical equipment provider based on the internet of things.

Based on the above purpose, the invention provides an evaluation method of an electrician equipment supplier based on the internet of things, which comprises the following steps:

acquiring ideal suppliers and benchmarking indexes of all suppliers based on materials; the benchmarking index is used for reflecting the supplier ranking of each benchmarking parameter of the materials;

calculating each pair of standard index distances of the same-class material suppliers and the ideal suppliers, wherein the pair of standard index distances are the difference values of each pair of standard indexes between the material suppliers and the ideal suppliers;

calculating a benchmarking index of each supplier, wherein the benchmarking index is the sum of the benchmarking index distances of each supplier;

and evaluating the suppliers according to the benchmarking indexes.

In one embodiment of the present disclosure, when the supplier supplies a plurality of materials, the benchmarking index of the supplier is an average value of the sum of the benchmarking distances of the plurality of materials.

In one embodiment of the present disclosure, suppliers with large orders are determined to rank up when the benchmarking indices are the same.

In one embodiment of the present disclosure, in evaluating the suppliers according to the benchmarking index, the suppliers whose order amount does not reach the average value are ranked after the median of the number of suppliers.

In one embodiment of the present disclosure, the calibration parameters of the material include at least one of insulation eccentricity, conductor diameter, resistivity, thermal elongation.

In one embodiment of the present disclosure, the method further comprises the step of converting the benchmarking index into a benchmarking score, wherein the benchmarking score is calculated by the following formula:

wherein, P^kIs the bid score for supplier k; h^kIs the benchmarking index for supplier k; n is the number of bidding items, and K is the number of bidding suppliers.

In an embodiment of the present disclosure, the method further includes the step of obtaining the similar material supplier index: and detecting each benchmarking parameter of the similar materials, and obtaining benchmarking indexes of different suppliers according to the detection result.

According to a second aspect of the present invention, there is also provided an evaluation apparatus of a supplier, comprising:

the acquisition module is used for acquiring ideal suppliers in the materials and the benchmarking indexes of all the suppliers; the benchmarking index is used for reflecting the supplier ranking of each benchmarking parameter of the materials;

the first calculation module is used for calculating each standard index distance between a similar material supplier and an ideal supplier, wherein the standard index distance is the difference value of each standard index between the material supplier and the ideal supplier;

the second calculation module is used for calculating the benchmarking index of each supplier, and the benchmarking index is the sum of the benchmarking index distances of each supplier;

and the evaluation module is used for evaluating the suppliers according to the benchmarking indexes.

According to the second aspect of the present invention, there is also provided an electronic device, including the above-mentioned evaluation apparatus of a supplier; alternatively, the electronic device comprises a memory for storing an executable computer program and a processor; the processor is used for operating the electronic equipment according to the control of the computer program so as to execute the method.

According to a second aspect of the present invention, there is also provided a computer-readable storage medium having stored thereon computer instructions for causing a computer to perform the above-described method.

From the above, the evaluation method provided by the invention does not need a large amount of prior knowledge and experience, overcomes the influence of personal preference factors, and has a more objective evaluation result. In addition, the method is simple to operate, clear in physical significance and not limited by the number of the standard indexes.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.

FIG. 1 is a schematic flow chart of an evaluation method according to an embodiment of the present invention.

Fig. 2 is a schematic block diagram of an evaluation apparatus according to an embodiment of the present invention.

Fig. 3 is a schematic block diagram of a hardware configuration of an evaluation apparatus according to an embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to specific embodiments and the accompanying drawings.

It is to be noted that technical terms or scientific terms used in the embodiments of the present invention should have the ordinary meanings as understood by those having ordinary skill in the art to which the present disclosure belongs, unless otherwise defined. The use of "first," "second," and similar terms in this disclosure is not intended to indicate any order, quantity, or importance, but rather is used to distinguish one element from another. The word "comprising" or "comprises", and the like, means that the element or item listed before the word covers the element or item listed after the word and its equivalents, but does not exclude other elements or items. The terms "connected" or "coupled" and the like are not restricted to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "upper", "lower", "left", "right", and the like are used merely to indicate relative positional relationships, and when the absolute position of the object being described is changed, the relative positional relationships may also be changed accordingly.

< method examples >

The evaluation method of the supplier is an evaluation method of an electrician equipment supplier based on the internet of things, and can be used for benchmarking according to product dimensions and ranking all similar benchmarked products produced by the same supplier according to benchmarking rules. Different from the evaluation method of the traditional weighted average method, the evaluation method of the embodiment does not need a large amount of prior knowledge and experience, overcomes the influence of personal preference factors, and has more objective evaluation results. In addition, the method is simple to operate, clear in physical significance and not limited by the number of the standard indexes.

Fig. 1 is a schematic flow chart of an evaluation method for an internet of things-based electrical equipment supplier according to an embodiment of the present disclosure.

According to fig. 1, the method of the present embodiment may include the following steps S2100 to S2400.

Step S2100, acquiring ideal suppliers and benchmarking indexes of all suppliers based on materials; the benchmarking index is used for reflecting the supplier ranking of each benchmarking parameter of the materials.

In this embodiment, the material refers to purchased electrical equipment for a power distribution network, such as a high-voltage cable, a transformer, a switch controller, and the like. The benchmarking index of the material is used for reflecting the supplier ranking of each benchmarking parameter of the material. For example, a plurality of evaluation parameters need to be set for a purchased high voltage cable to evaluate the quality of the high voltage cable. The calibration parameter of the high voltage cable may be at least one of insulation eccentricity, conductor diameter, electrical resistivity, thermal elongation. The more calibration parameters, the more adequate the evaluation of the high voltage cable.

A supplier refers to a supplier of the above materials, which may be a manufacturer, a seller, an agent, a distributor, etc. When the high-voltage cables provided by a plurality of suppliers are evaluated, different suppliers can be graded and ranked according to the detected insulation eccentricity, the detected conductor diameter, the detected resistivity and the detected thermal extension, namely the benchmarking index of the materials. For example, among 3 suppliers, the insulation eccentricity index of the high-voltage cable provided by the supplier a is detected to be the best among all suppliers, and the thermal extension index of the high-voltage cable is the worst, so that the insulation eccentricity index of the supplier a is 1, the thermal extension index is 3, and the corresponding benchmarking index of each supplier of the materials can be obtained through detection.

The ideal supplier is a hypothetical supplier, and all benchmarking indexes of the ideal supplier rank the first trade, namely, each benchmarking data of the ideal supplier is the best. The benchmarking indexes of the ideal supplier can be set by themselves, for example, all set to 1, that is, the index of insulation eccentricity is 1, the index of conductor diameter is 1, the index of resistivity is 1, and the index of thermal elongation is 1.

Step S2200 is to calculate each pair of target index distances between the similar material suppliers and the ideal suppliers, wherein the target index distance is the difference value of each pair of target indexes between the material suppliers and the ideal suppliers.

In the present embodiment, the same kind of material is generally the same or similar material, which refers to the material having the same calibration parameters, for example, although the high voltage cable is divided into a plurality of types, these different types of high voltage cables generally have the same calibration parameters, which can be evaluated according to insulation eccentricity, conductor diameter, resistivity, and thermal elongation, for example. The evaluation of the suppliers through the same benchmarking indexes has practical significance, and the fairness of evaluation is guaranteed.

The supplier-to-ideal supplier target-to-target distance reflects the difference between the supplier and the ideal supplier target-to-target. For example, if the insulation eccentricity index of the supplier a is 1, the difference between the insulation eccentricity index of the supplier a and the insulation eccentricity index of the ideal supplier a is 0; for example, if the thermal extension index of the a supplier is 3, the difference or distance between the a supplier and the ideal supplier is 3-1 to 2. The method can obtain the distance between all the benchmarking indexes of all the suppliers and the ideal supplier, namely the benchmarking index distance.

Step S2300, calculating a benchmarking index of each supplier, wherein the benchmarking index is the sum of the benchmarking index distances of each supplier.

In the embodiment, according to the number of the benchmarks of the material, the sum of the benchmark index distances of each supplier is calculated, and the sum is the benchmark index of the supplier. For example, the difference between the insulation eccentricity index of the supplier a and the ideal supplier is 0, and the difference or distance between the thermal elongation index is 3-1 to 2; the benchmarking index for the a supplier is 2+ 0-2. The supplier's benchmarking index may reflect its combined distance from the ideal supplier. Therefore, suppliers can be comprehensively ranked according to the bid indexes, manufacturers with smaller bid indexes indicate that the closer the bid indexes are to ideal suppliers, the higher the perfection degree of each index is, the manufacturers rank ahead, and the manufacturer with the smallest bid index is an industrial benchmarking manufacturer.

In one embodiment of the present disclosure, when the supplier supplies a plurality of materials, the benchmarking index of the supplier is an average value of the sum of the benchmarking distances of the plurality of materials. I.e., for example, the materials supplied by supplier a include material 1 and material 2, the benchmarking index of supplier a is the average of the sum of the benchmarking distances for both materials.

The benchmarking index for a supplier may be calculated by the following formula:

assuming that a certain product in the industry has a plurality of suppliers, the kth supplier produces M-type materials, the product has N items of benchmarking indexes, and the benchmarking index calculation formula is as follows:

wherein H^kA benchmarking index for k suppliers of certain materials;

and the index of the supplier in the material m for k is marked with n.

In a specific embodiment of the present disclosure, item 4 of the high voltage cable pair is insulation eccentricity, conductor diameter, resistivity, thermal elongation, respectively, for a total of 4 suppliers, a (total supply 20), b (total supply 10), c (total supply 1), and d (total supply 5). Wherein, the first produces 2 materials of 001 and 002 respectively, the second produces 2 materials of 001 and 002 respectively, the third produces 1 material of 004, and the fourth produces 2 materials of 001 and 003 respectively. The respective standard indexes of the materials of the four suppliers are as follows:

	material(s)	Degree of eccentricity of insulation	Diameter of conductor	Resistivity of	Thermal stretching
						First of all	001	1	2	2	1
First of all	002	2	1	1	2
						Second step	001	2	1	1	2
Second step	002	1	2	2	1
						C3	004	1	1	1	1
T-shirt	001	3	3	3	3
						T-shirt	003	1	1	1	1

The benchmarking index of each supplier can be obtained through the above calculation formula as follows:

H^{first of all}＝1/2[(1-1)+(2-1)+(2-1)+(1-1)]+[(2-1)+(1-1)+(1-1)+(2-1)]＝2

H^{Second step}＝1/2[(2-1)+(1-1)+(1-1)+(2-1)]+[(1-1)+(2-1)+(2-1)+(1-1)]＝2

H^C3＝1/1[(1-1)+(1-1)+(1-1)+(1-1)]＝0

H^T-shirt＝1/2[(3-1)+(3-1)+(3-1)+(3-1)]+[(1-1)+(1-1)+(1-1)+(1-1)]＝4

And step S2400, evaluating the suppliers according to the benchmarking indexes.

In one embodiment of the present disclosure, suppliers may be comprehensively ranked according to the bid index, and manufacturers with smaller bid indexes indicate that the closer to an ideal supplier, the higher the perfection of each index, and the manufacturer ranked forward, and the manufacturer with the smallest bid index is an industry benchmarking manufacturer.

A benchmarking supplier within the industry may be selected, for example, by the following formula:

H_min＝min(H¹,H²,H³L L H^K)。

wherein H_minIs the minimum benchmarking index, H¹To H^kIs the benchmarking index for supplier 1 through supplier k.

Without considering the sample factor, if the supplier with the smallest bid index among the k suppliers is the benchmarking supplier of the industry.

In one embodiment of the present disclosure, the benchmarking index may be converted into a benchmarking score, and the calculation formula is as follows:

In some other embodiments of the present disclosure, suppliers with large orders are determined to rank up when the benchmarking indexes are the same. For example, in the above example, supplier A and supplier B have the same benchmarking index, and thus can be evaluated based on the supply quantities of the two suppliers. The total supply (20) of provider a is greater than the total supply (10) of provider b, so that provider a is ranked higher than provider b when both providers are evaluated.

In other embodiments of the present disclosure, suppliers with order quantities that do not reach the average value are ranked after the median when the suppliers are evaluated according to the benchmarking index. For example, in the above example, the average order size for four suppliers is (20+10+1+ 5)/4-9. The bid index of supplier c, although ranked first, has an order size less than the average of four suppliers, so c needs to be ranked after the median, i.e., after the second name (4 with median of 2). Likewise, the order size of the supplier D is less than the average of four suppliers, and therefore needs to be ranked behind the median.

By combining the settings of the above embodiments, although the third benchmarking index is minimum, all indexes are 1 st, but the order quantity is less than the industry average value 9, and cannot be used as a benchmarking. The index of the remaining first and second benchmarks is minimum, and is 2, the order quantity is larger than the industry average value 9, and the first order quantity is large and is ranked at the front and serves as an industry benchmarking. And (4) final ranking: a, B, C and D.

According to the evaluation method of the electrician equipment supplier based on the Internet of things, the comprehensive distance between the benchmarking object and the ideal object is reflected by the benchmarking index, so that the supplier can be objectively evaluated through the benchmarking of the material, the operation is simple, and no manual interference exists; and each physical meaning is clear and is not limited by the number of the standard indexes.

< apparatus embodiment >

Based on the same inventive concept, the disclosure also provides a supplier evaluation device corresponding to any embodiment method.

As shown in fig. 2, the supplier evaluation apparatus 3000 includes an acquisition module 3100, a first calculation module 3200, a second calculation module 3300, an evaluation module 3400, wherein,

the acquisition module 3100 is used for acquiring the ideal suppliers in the materials and the benchmarking indexes of each supplier; and the benchmarking index is used for reflecting the supplier ranking of each benchmarking parameter of the materials.

The first calculating module 3200 is configured to calculate each benchmarking index distance between the supplier of the same type of material and the ideal supplier, where the benchmarking index distance is a difference between each benchmarking index of the supplier of the material and the ideal supplier.

The second calculating module 3300 is configured to calculate a benchmarking index of each supplier, where the benchmarking index is a sum of benchmarking index distances of each supplier;

the evaluation module 3400 is configured to evaluate the supplier according to the benchmarking index.

In one embodiment, the obtaining module 3100 may obtain the benchmarking indexes of each provider and the desired provider directly from a terminal or a server. Or calculating the benchmarking indexes of all suppliers according to the specific benchmarking parameters of all materials input by the user.

In one embodiment, if the supplier supplies a plurality of materials, the benchmarking index calculated by the second calculation module 3200 is an average value of the sum of the distances of the plurality of materials benchmarking indexes. I.e., for example, the materials supplied by supplier a include material 1 and material 2, the benchmarking index of supplier a is the average of the sum of the benchmarking distances for both materials.

In one embodiment, the evaluation module 3400 takes sample factors into account when evaluating the suppliers in terms of benchmarking indices. For example, suppliers with large orders are determined to rank up when bid indices are the same. Or/and, when the suppliers are evaluated according to the benchmarking index, the suppliers with the order quantity which does not reach the average value are ranked after the median.

The supplier evaluation device provided by the disclosure can be based on an electrician equipment Internet of things platform, so that an industry benchmarking and ranking method which is simple in operation and objective is provided.

< apparatus embodiment >

Based on the same inventive concept, corresponding to any of the above-described embodiment methods, the present disclosure also provides an electronic device, which may include the supplier evaluation device 3000 according to any of the embodiments of the present invention, so as to be able to implement the evaluation method of the electrician equipment supplier based on the internet of things according to any of the embodiments of the present invention.

Based on the same inventive concept, corresponding to any of the above-mentioned embodiments, the present disclosure further provides an electronic device, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and when the processor executes the program, the evaluation method of the electrician equipment supplier based on the internet of things according to any of the above embodiments is implemented.

Fig. 3 is a schematic diagram illustrating a more specific hardware structure of an electronic device according to this embodiment, where the electronic device may include: a processor 1010, a memory 1020, an input/output interface 1030, a communication interface 1040, and a bus 1050. Wherein the processor 1010, memory 1020, input/output interface 1030, and communication interface 1040 are communicatively coupled to each other within the device via bus 1050.

The processor 1010 may be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits, and is configured to execute related programs to implement the technical solutions provided in the embodiments of the present disclosure.

The Memory 1020 may be implemented in the form of a ROM (Read Only Memory), a RAM (Random Access Memory), a static storage device, a dynamic storage device, or the like. The memory 1020 may store an operating system and other application programs, and when the technical solution provided by the embodiments of the present specification is implemented by software or firmware, the relevant program codes are stored in the memory 1020 and called to be executed by the processor 1010.

The input/output interface 1030 is used for connecting an input/output module to input and output information. The i/o module may be configured as a component in a device (not shown) or may be external to the device to provide a corresponding function. The input devices may include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output devices may include a display, a speaker, a vibrator, an indicator light, etc.

The communication interface 1040 is used for connecting a communication module (not shown in the drawings) to implement communication interaction between the present apparatus and other apparatuses. The communication module can realize communication in a wired mode (such as USB, network cable and the like) and also can realize communication in a wireless mode (such as mobile network, WIFI, Bluetooth and the like).

Bus 1050 includes a path that transfers information between various components of the device, such as processor 1010, memory 1020, input/output interface 1030, and communication interface 1040.

It should be noted that although the above-mentioned device only shows the processor 1010, the memory 1020, the input/output interface 1030, the communication interface 1040 and the bus 1050, in a specific implementation, the device may also include other components necessary for normal operation. In addition, those skilled in the art will appreciate that the above-described apparatus may also include only those components necessary to implement the embodiments of the present description, and not necessarily all of the components shown in the figures.

For example, an electronic device includes only memory for storing executable computer programs and a processor; the processor is configured to operate the electronic device according to control of the computer program to execute the corresponding evaluation method of the electrician equipment supplier based on the internet of things in any one of the foregoing embodiments, and has the beneficial effects of the corresponding method embodiment, which are not described herein again.

< storage Medium embodiment >

Based on the same inventive concept, corresponding to any of the above-mentioned embodiment methods, the present disclosure also provides a computer-readable storage medium storing computer instructions for causing the computer to execute the evaluation method of the internet-of-things-based electrical equipment provider according to any of the above-mentioned embodiments.

Computer-readable media of the present embodiments, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device.

Those of ordinary skill in the art will understand that: the discussion of any embodiment above is meant to be exemplary only, and is not intended to intimate that the scope of the disclosure, including the claims, is limited to these examples; within the idea of the present disclosure, also technical features in the above embodiments or in different embodiments may be combined, steps may be implemented in any order, and there are many other variations of the different aspects of the embodiments of the present disclosure as described above, which are not provided in detail for the sake of brevity.

In addition, well-known power/ground connections to Integrated Circuit (IC) chips and other components may or may not be shown in the provided figures for simplicity of illustration and discussion, and so as not to obscure the embodiments of the disclosure. Furthermore, devices may be shown in block diagram form in order to avoid obscuring embodiments of the present disclosure, and this also takes into account the fact that specifics with respect to implementation of such block diagram devices are highly dependent upon the platform within which the embodiments of the present disclosure are to be implemented (i.e., specifics should be well within purview of one skilled in the art). Where specific details (e.g., circuits) are set forth in order to describe example embodiments of the disclosure, it should be apparent to one skilled in the art that the embodiments of the disclosure can be practiced without, or with variation of, these specific details. Accordingly, the description is to be regarded as illustrative instead of restrictive.

While the present disclosure has been described in conjunction with specific embodiments thereof, many alternatives, modifications, and variations of these embodiments will be apparent to those of ordinary skill in the art in light of the foregoing description. For example, other memory architectures (e.g., dynamic ram (dram)) may use the discussed embodiments.

The disclosed embodiments are intended to embrace all such alternatives, modifications and variances which fall within the broad scope of the appended claims. Therefore, any omissions, modifications, equivalents, improvements, and the like that may be made within the spirit and principles of the embodiments of the disclosure are intended to be included within the scope of the disclosure.

Claims

1. An evaluation method of an electrician equipment supplier based on the Internet of things comprises the following steps:

and evaluating the suppliers according to the benchmarking indexes.

2. The evaluation method according to claim 1, wherein when a supplier supplies a plurality of materials, the benchmarking index of the supplier is an average value of a sum of benchmarking distances for the plurality of materials.

3. The evaluation method according to claim 1, wherein the supplier with the large order quantity is determined to rank up when the benchmarking indexes are the same.

4. The evaluation method according to claim 1, wherein in evaluating the suppliers according to the benchmarking index, suppliers whose order amount does not reach the average value are ranked after the median of the number of suppliers.

5. The evaluation method of claim 1, wherein the calibration parameters of the material include at least one of insulation eccentricity, conductor diameter, resistivity, thermal elongation.

6. The evaluation method of claim 1, further comprising the step of converting the benchmarking index into a benchmarking score, the benchmarking score being calculated by the formula:

7. The evaluation method according to claim 1, further comprising the step of obtaining a congeneric material supplier index: and detecting each benchmarking parameter of the similar materials, and obtaining benchmarking indexes of different suppliers according to the detection result.

8. An evaluation device of a supplier, comprising:

9. An electronic device comprising an evaluation apparatus of a supplier according to claim 8; alternatively, the electronic device comprises a memory for storing an executable computer program and a processor; a processor is configured to operate the electronic device under control of the computer program to perform the method according to any one of claims 1 to 8.

10. A computer-readable storage medium having stored thereon computer instructions for causing a computer to perform the method of any one of claims 1 to 8.