CN116307881A - Product quality supervision and detection method for electric power material purchase - Google Patents
Product quality supervision and detection method for electric power material purchase Download PDFInfo
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- 238000001514 detection method Methods 0.000 title claims abstract description 10
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- 238000012797 qualification Methods 0.000 claims abstract 4
- 238000001303 quality assessment method Methods 0.000 claims description 10
- 238000012545 processing Methods 0.000 claims description 6
- 238000012958 reprocessing Methods 0.000 claims description 3
- 238000012163 sequencing technique Methods 0.000 claims description 2
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06395—Quality analysis or management
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The invention discloses a product quality supervision detection method for purchasing electric power supplies, which relates to the technical field of quality supervision, and comprises the steps of acquiring the qualification rate of a determined purchased commodity in the using process, analyzing parameters according to the qualification rate, re-ordering the ranking of corresponding suppliers according to the original existing judgment value, and in the specific adjustment process, the partial ranking value of the sub-optimal supplier may be higher than the ranking value of the standard supplier, subsequently re-ordering different suppliers according to the qualification rate, supervising the different suppliers, improving the quality supervision degree of the corresponding suppliers, subsequently re-performing quality trend analysis, calibrating parameters according to the change degree of the ranking, facilitating the re-selection of the subsequent suppliers, further improving the overall effect of quality supervision, and adopting the mode to reversely excite and multiply excite the different suppliers to improve the overall restriction effect.
Description
Technical Field
The invention relates to the technical field of quality supervision, in particular to a product quality supervision and detection method for electric power material purchasing.
Background
The electric power material management is an important component of enterprise material management, and refers to an enterprise operation activity which is generated in the normal operation process of an electric power enterprise and is used for organizing, planning, coordinating and controlling various materials needing to be ordered, transported, reserved and supplied, and is also an important component of the electric power enterprise management;
the invention of patent publication No. CN108985651A provides a product quality public supervision method and a public supervision product, comprising the steps of setting up a third party detection mechanism with public trust and a characteristic database of product components and the like; the invention has the advantages that the sampler is arranged on the product or in the product consumption place to facilitate and encourage the consumer to participate in sampling and inspection, the public can simply and conveniently sample and put the sample into the sampler to be mailed to a third party detection mechanism for detecting the characteristics of components and the like, the invention can start the vast consumer (i.e. the public) to actively participate in the quality supervision work of the product, can enhance the supervision force, avoid the supervision trapping phenomenon and make up for the defects of the existing quality supervision system of the product;
in the purchasing process of electric power supplies, the supplies are required to be purchased from the appointed suppliers, different suppliers are selected according to the past quality supervision parameter values of the original suppliers, but in the specific implementation process, the following defects are still required to be improved, and the quality rising or falling trend of the different suppliers is not analyzed, so that the accuracy of the quality ranking of the corresponding suppliers is improved, and the corresponding suppliers can conveniently purchase the commodities.
In order to solve the above problems, the present invention proposes a solution.
Disclosure of Invention
The invention aims to provide a product quality supervision and detection method for purchasing electric power materials, which aims to solve the problem that the quality rising or falling trend of different suppliers is not analyzed so as to improve the accuracy of quality ranking of the corresponding suppliers;
the aim of the invention can be achieved by the following technical scheme:
a product quality supervision and detection method for electric power material purchase comprises the following steps:
s1, according to the overall quality data of different suppliers, quality assessment is carried out on the different suppliers according to the quality data of the quarters and the lifting trend of the quality data in the corresponding quarters to obtain a judgment value, and the different suppliers are assessed as the standard manufacturer or the sub-best manufacturer according to the judgment value;
s2, reprocessing the rated standard manufacturer or sub-optimal manufacturer, arranging different goods supply manufacturers belonging to the standard manufacturer or sub-optimal manufacturer according to the specific value of the judgment value, and arranging the different goods supply manufacturers according to the mode that the judgment value is from large to small;
s3, selecting the suppliers according to different suppliers which are rated as the standard manufacturer and the suboptimal manufacturer, determining the selected purchased goods by a purchasing person according to the arrangement names and the corresponding price parameters of the corresponding suppliers, acquiring the good rating of the determined purchased goods in the using process, carrying out parameter analysis according to the good rating, and sequencing the arrangement names of the corresponding suppliers again according to the judgment values originally existing;
s4, carrying out quality trend analysis again on different suppliers, and carrying out parameter calibration according to the change degree of the sorting ranking so as to facilitate the subsequent purchasing manufacturer to select again.
Preferably, in the step S1, the specific way of quality assessment for different suppliers is as follows:
s11, extracting quarter quality data of different suppliers, wherein the quarter quality data contains a plurality of different quality values, and marking the plurality of different quality values as SZ according to time sequence i Where i represents different time periods, i=1, 2, … …, n, with 24h intervals between each set of time periods;
s12, a plurality of groups of quality values SZ i Performing mean processing to obtain mean parameter JZ to be extracted, and adopting BD according to time sequence k ＝SZ i-1 -SZ i Obtaining a plurality of groups of comparison parameter values BD k Wherein k=i-1;
s13, obtaining a plurality of groups of comparison parameter values BD k Carrying out merging and summing treatment to obtain an analysis value to be merged, and marking the analysis value as FX;
s14, combining the mean parameter JZ to be extracted and the analysis value FX to be combined, obtaining a judging value PD of the supplier in a corresponding quarter by adopting PD=JZ×C1+FX×C2, wherein C1 and C2 are both fixed coefficient factors, comparing the judging value PD with a preset parameter Y1, wherein the preset parameter Y1 is a preset value, and marking the corresponding supplier as a suboptimal manufacturer when PD is less than Y1.
Preferably, the step S14 further includes marking the corresponding vendor as the manufacturer of the standard if PD is equal to or greater than Y1.
Preferably, in the step S3, the specific manner of performing the parameter analysis according to the score is as follows:
s31, extracting the judgment value PD of the corresponding supplier, and marking the judgment values of different suppliers as PD m Wherein m represents different suppliers;
s32, obtaining the good score from the big data and marking the good score as HP m Wherein m represents different suppliers;
s33, judging value PD m Praise rate HP m Performing combined analysis processing by PX m ＝PD m ×A1+HP m Obtaining the ranking value PX of different suppliers by the X A2 m Wherein A1 and A2 are both preset fixed coefficient factors, and the sorting values PX of different suppliers m And (5) sequentially performing comparison arrangement.
Preferably, in the step S4, the specific way of performing parameter calibration according to the degree of change of the ranking is as follows:
s41, obtaining the sorting ranking corresponding to the current time of the supplier, and marking the corresponding sorting ranking as MC m Wherein m represents different suppliers;
s42, obtaining the last order name of the order name corresponding to the supplier and marking the order name as CM m Wherein m represents different suppliers;
s43, QS is adopted m ＝MC m -CM m Obtaining a parameter calibration value QS m And calibrating the acquired parameter value QS m Binding with corresponding suppliers, displaying in corresponding selected pages for external buyers to analyze and select.
The invention has the beneficial effects that:
according to the overall quality data of different suppliers, quality assessment is carried out on the different suppliers to obtain a judging value according to the quality data of the quarters and the lifting trend of the quality data in the corresponding quarters, the good evaluation rate of the determined purchased commodity in the use process is obtained, then parameter analysis is carried out on the determined good evaluation rate, the ranking of the corresponding suppliers is reordered according to the judging value originally existing, in the specific adjustment process, the partial ranking value of the suboptimal manufacturer may be higher than the ranking value of the standard manufacturer, and then, the different suppliers are reordered according to the good evaluation rate, so that the quality supervision degree of the corresponding suppliers is improved;
and then carrying out quality trend analysis again on different suppliers, carrying out parameter calibration according to the change degree of the sorting ranking, facilitating the subsequent purchasing to select again, further improving the overall effect of quality supervision, and adopting the mode to carry out reverse excitation and multiple excitation on different suppliers so as to improve the overall restriction effect.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a schematic flow chart of the method of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1, a product quality supervision and detection method for purchasing electric power materials comprises the following steps:
s1, according to the overall quality data of different suppliers, carrying out quality assessment on the different suppliers according to the quality data of the quarters and the lifting trend of the quality data in the corresponding quarters to obtain a judgment value, and assessing the different suppliers as a standard manufacturer or a sub-best manufacturer according to the judgment value, wherein the specific mode for carrying out quality assessment is as follows:
s11, for seasons of different suppliersExtracting the quarter quality data, wherein the quarter quality data contains a plurality of different quality values, and marking the plurality of different quality values as SZ according to the time sequence i Where i represents different time periods, i=1, 2, … …, n, with 24h intervals between each set of time periods;
s12, a plurality of groups of quality values SZ i Performing mean processing to obtain mean parameter JZ to be extracted, and adopting BD according to time sequence k ＝SZ i-1 -SZ i Obtaining a plurality of groups of comparison parameter values BD k Wherein k=i-1 (through the sequence of time, the ascending value and the descending value of different time periods can be obtained, and the trend of quality ascending and quality descending of corresponding suppliers in the same quarter can be judged and analyzed);
s13, obtaining a plurality of groups of comparison parameter values BD k Carrying out merging and summing treatment to obtain an analysis value to be merged, and marking the analysis value as FX, wherein when the analysis value FX to be merged is in a positive value, the analysis value FX to be merged represents that the supplier is in a quality-up state in the corresponding quarter, and when the analysis value FX to be merged is in a negative value, the analysis value FX to be merged represents that the supplier is in a quality-down state in the corresponding quarter;
s14, combining the mean parameter JZ to be extracted and the analysis value FX to be combined, obtaining a judging value PD of the supplier in a corresponding quarter by adopting PD=JZ×C1+FX×C2, wherein C1 and C2 are fixed coefficient factors, the specific values are planned by operators according to experience, the judging value PD is compared with a preset parameter Y1, the preset parameter Y1 is a preset value, the specific values are planned by operators according to experience, when PD is smaller than Y1, the corresponding supplier is marked as a suboptimal manufacturer, and otherwise, the corresponding supplier is marked as a standard manufacturer;
s2, reprocessing the rated standard manufacturer or sub-optimal manufacturer, arranging different goods supply manufacturers belonging to the standard manufacturer or sub-optimal manufacturer according to the specific value of the judgment value PD, and arranging the different goods supply manufacturers according to the mode that the judgment value PD is from large to small;
s3, selecting the suppliers according to different suppliers which are rated as the standard manufacturer and the suboptimal manufacturer, determining the selected purchased goods by a purchasing person according to the arrangement names and the corresponding price parameters of the corresponding suppliers, acquiring the good rating of the determined purchased goods in the using process, carrying out parameter analysis according to the good rating, and reordering the arrangement names of the corresponding suppliers according to the judgment values originally existing, wherein the specific mode for carrying out the parameter analysis is as follows:
s31, extracting the judgment value PD of the corresponding supplier, and marking the judgment values of different suppliers as PD m Wherein m represents different suppliers;
s32, obtaining the good score from the big data and marking the good score as HP m Wherein m represents different suppliers;
s33, judging value PD m Praise rate HP m Performing combined analysis processing by PX m ＝PD m ×A1+HP m Obtaining the ranking value PX of different suppliers by the X A2 m Wherein A1 and A2 are both preset fixed coefficient factors, and the sorting values PX of different suppliers m The comparison arrangement is sequentially carried out, wherein the suppliers rated as the standard manufacturer or the sub-manufacturer are unchanged, the arrangement mode is adjusted, in the specific adjustment process, partial ordering values of the sub-manufacturer may be higher than ordering values of the standard manufacturer, and then different suppliers are ordered again according to the good evaluation rate, so that the different suppliers are supervised, the quality supervision degree of the corresponding suppliers is improved, and meanwhile, in the process of evaluating the standard manufacturer or the sub-manufacturer, the process is carried out once in a quarter;
firstly, according to the overall quality data of different suppliers, quality assessment is carried out on the different suppliers according to the quality data of the quarters and the lifting trend of the quality data in the corresponding quarters to obtain a judgment value, and the different suppliers are assessed as a standard manufacturer or a sub-best manufacturer according to the judgment value, and according to the assessment, the different suppliers of the standard manufacturer and the sub-best manufacturer are assessed;
according to the overall quality data of different suppliers, quality assessment is carried out on the different suppliers to obtain a judging value according to the quality data of the quarters and the lifting trend of the quality data in the corresponding quarters, the good evaluation rate of the determined purchased commodity in the use process is obtained, then parameter analysis is carried out on the determined good evaluation rate, the ranking of the corresponding suppliers is reordered according to the judging value originally existing, in the specific adjustment process, the partial ranking value of the suboptimal manufacturer may be higher than the ranking value of the standard manufacturer, and then, the different suppliers are reordered according to the good evaluation rate, so that the quality supervision degree of the corresponding suppliers is improved;
s4, carrying out quality trend analysis again on different suppliers, carrying out parameter calibration according to the change degree of the sorting ranking, facilitating the subsequent suppliers to carry out selection again, further improving the overall effect of quality supervision, and adopting the mode to carry out reverse excitation and multiple excitation on different suppliers, and improving the overall restriction effect, wherein the specific mode of carrying out parameter calibration is as follows:
s41, obtaining the sorting ranking corresponding to the current time of the supplier, and marking the corresponding sorting ranking as MC m Wherein m represents different suppliers;
s42, obtaining the last order name of the order name corresponding to the supplier and marking the order name as CM m Wherein m represents different suppliers;
s43, QS is adopted m ＝MC m -CM m Obtaining a parameter calibration value QS m And calibrating the acquired parameter value QS m Binding with corresponding suppliers, displaying in corresponding selected pages, analyzing and selecting by external buyers, further improving the overall effect of quality supervision, and adopting the mode to reversely excite and multiply excite different suppliers, thereby improving the overall restriction effect.
Working principle: firstly, according to the overall quality data of different suppliers, quality assessment is carried out on the different suppliers according to the quality data of the quarters and the lifting trend of the quality data in the corresponding quarters to obtain a judging value, the different suppliers are assessed as the best supplier or the suboptimal supplier according to the judging value, the different suppliers of the best supplier and the suboptimal supplier are assessed according to the arrangement ranking of the corresponding suppliers and the corresponding price parameter, the purchasing personnel selects the suppliers, determines the selected purchasing commodity, obtains the good ranking of the determined purchasing commodity in the use process, carries out parameter analysis according to the good ranking, reorders the arrangement ranking of the corresponding suppliers according to the judging value existing originally, and in the specific adjustment process, the partial ordering value of the suboptimal supplier is possibly higher than the ordering value of the best supplier, and then the different suppliers are reordered according to the good ranking, so that the quality supervision degree of the corresponding suppliers is improved.
And then carrying out quality trend analysis again on different suppliers, carrying out parameter calibration according to the change degree of the sorting ranking, facilitating the subsequent purchasing to select again, further improving the overall effect of quality supervision, and adopting the mode to carry out reverse excitation and multiple excitation on different suppliers so as to improve the overall restriction effect.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The foregoing is merely illustrative and explanatory of the invention, as various modifications and additions may be made to the particular embodiments described, or in a similar manner, by those skilled in the art, without departing from the scope of the invention or exceeding the scope of the invention as defined in the claims.
The foregoing describes one embodiment of the present invention in detail, but the description is only a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. All equivalent changes and modifications within the scope of the present invention are intended to be covered by the present invention.
Claims (5)
1. The product quality supervision and detection method for purchasing electric power materials is characterized by comprising the following steps of:
s1, according to the overall quality data of different suppliers, quality assessment is carried out on the different suppliers according to the quality data of the quarters and the lifting trend of the quality data in the corresponding quarters to obtain a judgment value, and the different suppliers are assessed as the standard manufacturer or the sub-best manufacturer according to the judgment value;
s2, reprocessing the rated standard manufacturer or sub-optimal manufacturer, arranging different goods supply manufacturers belonging to the standard manufacturer or sub-optimal manufacturer according to the specific value of the judgment value, and arranging the different goods supply manufacturers according to the mode that the judgment value is from large to small;
s3, selecting the suppliers according to different suppliers which are rated as the standard manufacturer and the suboptimal manufacturer, determining the selected purchased goods by a purchasing person according to the arrangement names and the corresponding price parameters of the corresponding suppliers, acquiring the good rating of the determined purchased goods in the using process, carrying out parameter analysis according to the good rating, and sequencing the arrangement names of the corresponding suppliers again according to the judgment values originally existing;
s4, carrying out quality trend analysis again on different suppliers, and carrying out parameter calibration according to the change degree of the sorting ranking so as to facilitate the subsequent purchasing manufacturer to select again.
2. The method for monitoring and detecting the quality of products for purchasing electric power materials according to claim 1, wherein in the step S1, the specific ways of quality assessment for different suppliers are as follows:
s11, extracting quarter quality data of different suppliers, wherein the quarter quality data contains a plurality of different quality values, and marking the plurality of different quality values as SZ according to time sequence i Where i represents different time periods, i=1, 2, … …, n, with 24h intervals between each set of time periods;
s12, a plurality of groups of quality values SZ i Performing mean processing to obtain mean parameter JZ to be extracted, and adopting BD according to time sequence k ＝SZ i-1 -SZ i Obtaining a plurality of groups of comparison parameter values BD k Wherein k=i-1;
s13, obtaining a plurality of groups of comparison parameter values BD k Carrying out merging and summing treatment to obtain an analysis value to be merged, and marking the analysis value as FX;
s14, combining the mean parameter JZ to be extracted and the analysis value FX to be combined, obtaining a judging value PD of the supplier in a corresponding quarter by adopting PD=JZ×C1+FX×C2, wherein C1 and C2 are both fixed coefficient factors, comparing the judging value PD with a preset parameter Y1, wherein the preset parameter Y1 is a preset value, and marking the corresponding supplier as a suboptimal manufacturer when PD is less than Y1.
3. The method according to claim 2, wherein the step S14 further comprises marking the corresponding supplier as the standard manufacturer when PD is equal to or greater than Y1.
4. The method for monitoring and detecting the quality of a product for purchasing electric power materials according to claim 3, wherein in the step S3, the specific manner of performing the parameter analysis according to the qualification rate is as follows:
s31, extracting the judgment value PD of the corresponding supplier, and marking the judgment values of different suppliers as PD m Whereinm represents different suppliers;
s32, obtaining the good score from the big data and marking the good score as HP m Wherein m represents different suppliers;
s33, judging value PD m Praise rate HP m Performing combined analysis processing by PX m ＝PD m ×A1+HP m Obtaining the ranking value PX of different suppliers by the X A2 m Wherein A1 and A2 are both preset fixed coefficient factors, and the sorting values PX of different suppliers m And (5) sequentially performing comparison arrangement.
5. The method for monitoring and detecting the quality of the product for purchasing the electric power materials according to claim 4, wherein in the step S4, the specific method for calibrating the parameters according to the change degree of the ranking is as follows:
s41, obtaining the sorting ranking corresponding to the current time of the supplier, and marking the corresponding sorting ranking as MC m Wherein m represents different suppliers;
s42, obtaining the last order name of the order name corresponding to the supplier and marking the order name as CM m Wherein m represents different suppliers;
s43, QS is adopted m ＝MC m -CM m Obtaining a parameter calibration value QS m And calibrating the acquired parameter value QS m Binding with corresponding suppliers, displaying in corresponding selected pages for external buyers to analyze and select.
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| CN113837793A (en) * | 2021-08-25 | 2021-12-24 | 杭州杰牌传动科技有限公司 | Supplier recommendation method and device, storage medium and terminal |
| CN115759394A (en) * | 2022-11-14 | 2023-03-07 | 荃豆数字科技有限公司 | Recommendation method, device, equipment and storage medium for traditional Chinese medicine decoction piece manufacturers |
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| CN106815365A (en) * | 2017-01-26 | 2017-06-09 | 武汉奇米网络科技有限公司 | A kind of businessman's quality score method and system |
| CN107392426A (en) * | 2017-06-20 | 2017-11-24 | 国网辽宁省电力有限公司 | The evaluation and system of selection of a kind of electricity provider |
| CN110348963A (en) * | 2019-07-08 | 2019-10-18 | 周永东 | A kind of method and system for realizing that polynary commodity intelligent Trade is recommended for transaction platform |
| CN113837793A (en) * | 2021-08-25 | 2021-12-24 | 杭州杰牌传动科技有限公司 | Supplier recommendation method and device, storage medium and terminal |
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