CN117973785B - Enterprise service management analysis system and operation method - Google Patents
Enterprise service management analysis system and operation method Download PDFInfo
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Abstract
The invention belongs to the technical field of enterprise service management, and particularly discloses an enterprise service management analysis system and an operation method thereof. According to the method, the registered enterprises are classified, the operation states of the registered enterprises under various production categories are analyzed according to the operation data table of the registered enterprises, the priority recommended resource allocation production category is obtained through the evaluation of the resource allocation evaluation rule, the problem that the current resource allocation is insufficient according to timeliness is effectively solved, the defect that the current enterprise is only analyzed according to the current production condition is avoided, the long-term tracking analysis of the enterprises under different production categories in the area is realized, the rationality of the subsequent regional resource analysis decision side is further ensured, and the effectiveness and balance of regional development are further improved.
Description
Technical Field
The invention belongs to the technical field of enterprise service management, and relates to an enterprise service management analysis system and an operation method.
Background
With the increasingly tight linking of global markets, the production activities of businesses are impacted by global markets as well as local markets and regional markets. Therefore, the production data of enterprises are known and monitored and managed, and the method has important significance for the development of enterprises and areas.
At present, corresponding regional enterprise development management comprises various management categories such as resource allocation management, quality control management, management risk management and the like, but at present, the following defects exist in the resource allocation management: 1. the timeliness of the resource allocation basis is insufficient, the analysis is mainly performed according to the current production condition at present, long-term tracking is not performed, so that the reliability of a resource analysis decision is insufficient, the rationality of subsequent resource allocation is not guaranteed, and the effectiveness of regional development cannot be improved to the greatest extent.
2. The evaluation dimension and factors are not comprehensive enough, production analysis is currently mainly carried out according to the relation between the production quantity and the sales quantity, and the long-term change rule of production and sales of an unbonded area, such as the stability of a sales area, cannot promote the adaptability of the subsequent market facing change, and further cannot ensure the long-term and stability of the development of the subsequent area state-owned enterprise.
3. The influence of development on the environment of the area and the like is not considered, the sustainability of the development of the area cannot be guaranteed, meanwhile, the difficulty and cost of coordination and balance in the area environment and the like are increased, the return on investment ratio of the area is difficult to control, and the accuracy and scientificity of resource allocation are both deficient.
Disclosure of Invention
In view of this, in order to solve the above-mentioned problems in the background art, an enterprise service management analysis system and an operation method are now proposed.
The aim of the invention can be achieved by the following technical scheme: a first aspect of the present invention provides an enterprise service management analysis system, the system comprising: and the regional information extraction module is used for extracting the production category and the management data table of each registered enterprise in the target region from the regional service platform.
And the enterprise classification and division module is used for classifying the production categories of all the registered enterprises according to the production categories of all the registered enterprises to obtain all the registered enterprises under all the production categories.
And the operation data analysis module is used for analyzing the operation state of each registered enterprise under each production category according to the operation data table and outputting each resource allocation evaluation index of each registered enterprise under each production category, wherein each resource allocation index is sales trend, sales region richness and repurchase stability in sequence.
And the resource allocation analysis module is used for evaluating and obtaining the priority recommended resource allocation production category of the target area through the resource allocation evaluation rule according to each resource allocation evaluation index of each registered enterprise under each production category.
And the database is used for storing the production environment interference weights of the production categories.
And the analysis feedback terminal is used for feeding back the priority recommended resource allocation production category of the target area to the area service platform and displaying the priority recommended resource allocation production category.
Further, the analyzing the operation state of each registered enterprise under each production category includes: and locating the accumulated production volume, the accumulated actual sales volume, the accumulated return volume and the accumulated planned sales volume in each operational period from the operational data table, and counting the sales tendencies beta ij of each registered enterprise under each production category, wherein i represents the production category number, i=1, 2, & gt.
And locating the number of the accumulated sales areas and the positions of the accumulated sales areas in each business year from the business data table.
And marking the positions of the accumulated sales areas corresponding to the operation years of the registered enterprises under the production categories on an electronic map to obtain the marked areas, and further superposing the marked areas to obtain the sales area coverage areas corresponding to the operation years of the registered enterprises under the production categories.
Average value calculation is respectively carried out on the accumulated sales area number and the sales area coverage area in each operation year to obtain the average sales area number of each registered enterprise under each production categoryAnd average sales area coverage areaAnd evaluating the sales region richness gamma ij of each registered enterprise under each production category through a sales region richness evaluation model.
And locating each cooperation period and the annual purchase quantity in each cooperation period of each partner from the operation data table, and counting the repurchase stability delta ij of each registered enterprise under each production category.
And taking beta ij、γij、δij as each resource allocation evaluation index of each registered enterprise under each production category.
Further, the counting the sales tendencies of each registered enterprise under each production category includes: will beAndAs a return ratio, a production inventory ratio, and a sales ratio, respectively.
The withdrawal ratio, the production inventory ratio, and the sales ratio of each registered business under each production category in each business year are respectively noted as (k Back out )ijt、(k Library )ijt and (k Pin )ijt, t represents a business year number, t=1, 2.. U.
The accumulated actual sales and the accumulated planned sales of each registered enterprise under each production category in each operational period are respectively recorded as Y ijt and Y' ijt, the sales trend beta ij of each registered enterprise under each production category is counted,Δy is the offset sales for the set reference,Representing a downward rounding symbol, u represents the number of business years.
Further, the specific evaluation process of the sales area richness evaluation model is as follows: and constructing a distribution area number change curve and a distribution area coverage area change curve of each registered enterprise under each production category by taking the operation years as an abscissa and accumulating the distribution area number and the distribution area coverage area as an ordinate, and respectively recording the distribution area number change curve and the distribution area coverage area change curve as a curve I and a curve II.
The length of the curve I is extracted and denoted as l ij, and the total length of the curve segments above the average sales area number is extracted from the curve I and denoted as l ' ij, while the length of the curve II is extracted and denoted as l ' ij, and the total length of the curve segments above the average sales area coverage area is extracted from the curve II and denoted as l ' ij.
And respectively dividing the curve I and the curve II in three, and accordingly setting the sales area richness evaluation interference factor eta ij of each registered enterprise under each production category.
Will beL ij、l′ij、l″ij、l″′ij and eta ij are used as inputs of a sales region richness assessment model, the sales region richness is used as outputs of the sales region richness assessment model, and the sales region richness assessment model specifically shows the following formula:
d ', S' are the number of sales areas and the coverage area of the sales areas for the set reference, respectively.
Further, the setting the sales area richness evaluation interference factor of each registered enterprise under each production category includes: and sequentially marking the three curve sections divided by the curve I as a curve section A, a curve section B and a curve section C according to the segmentation sequence, extracting the slopes of the curve section A, the curve section B and the curve section C, and marking the slopes as k A、kB and k C respectively.
Obtaining the richness estimation interference factors of the regional number layers through the richness interference estimation rule estimation, and sequentially estimating and obtaining the richness estimation interference factors of the regional number layers corresponding to each registered enterprise under each production category
And processing the curve II according to the same process of the curve I, and obtaining the richness evaluation interference factor mu' ij of the coverage surface of the corresponding region of each registered enterprise under each production category according to the evaluation mode of the richness evaluation interference factor of the corresponding region number surface of each registered enterprise under each production category.
Will beThe sales area richness evaluation interference factor eta ij of each registered enterprise under each production category is used as the sales area richness evaluation interference factor eta ij.
Further, the counting the repurchase stability of each registered enterprise under each production category includes: based on each of the cooperation years of each of the partners, a cooperation continuation weight factor σ ijd of each of the registered enterprises under each production category is set, d represents a partner number, d=1, 2.
And carrying out average value calculation on the annual purchase quantity of each partner corresponding to each registered enterprise under each production category in each cooperative year to obtain the average annual purchase quantity G ijd of each partner of each registered enterprise under each production category.
Average value calculation is carried out on the accumulated production quantity of each registered enterprise under each production category in each operation period to obtain average annual accumulated production quantity N ij of each registered enterprise under each production category, the re-purchase stability delta ij of each registered enterprise under each production category is counted,K Error in error is the corresponding compensation error purchasing ratio of the set unit cooperation duration weight factor.
Further, the setting the collaboration persistent weight factor of each registered enterprise corresponding to each partner under each production category includes: marking the operational years of each registered enterprise under each production category and the cooperative years of each corresponding partner on a time number axis, and taking the time increasing direction as the right direction.
Marking points of the business years and the cooperation years on a time number axis as business marking points and cooperation marking points respectively.
The operation marking point number X ij of each registered enterprise under each production category and the cooperation marking point number R ijd of each corresponding partner are counted, the interval operation marking point number among the cooperation marking points is extracted, and the average interval operation marking point number J ijd of the cooperation marking points of each registered enterprise under each production category is obtained through average calculation.
And forming an operation labeling interval by the first operation labeling point position and the last operation labeling point position, forming a cooperation labeling interval by the first cooperation labeling point position and the last cooperation labeling point position, respectively marking the center points of the operation labeling interval and the cooperation labeling interval as a target point and a comparison point, judging by a position judgment rule to obtain the age deviation weight factors of the registered enterprises corresponding to the partners under each production category, and marking the age deviation weight factors as omega ijd.
Setting the cooperation continuous weight factor sigma ijd of each registered enterprise corresponding to each partner under each production category,J' is the number of the operation marking points of the set reference interval.
Further, the specific evaluation process of the resource allocation evaluation rule is as follows: and extracting the production environment interference weight of each production category from the database, and setting the environment regulation interference factor xi i under each production category according to the production environment interference weight.
If the evaluation index of the resource allocation of a registered enterprise under a certain production category is greater than 0, marking the resource allocation index as an identical index, and counting the identical index number W ij of each registered enterprise under each production category.
Will beThe registered enterprises under each production category are counted as standard-reaching enterprises, the number of the standard-reaching enterprises under each production category is recorded as Q i, and the number of the registered enterprises under each production category is recorded as Q' i.
And respectively carrying out average calculation on beta ij、γij、δij to obtain average sales trend beta ' i, average sales region richness gamma ' i and average repurchase stability delta ' i corresponding to registered enterprises under various production categories, importing the average sales trend beta i, the average sales region richness gamma ' i and the average repurchase stability delta ' i into a sales state evaluation model, and outputting sales priority trend tau i of various production categories.
The comprehensive resource allocation priority index zeta i of each production category is counted,Delta tau is the set reference sales order, n is the number of manufacturing categories.
And taking the production category with the largest comprehensive resource allocation priority index as the priority recommended resource allocation production category of the target area.
Further, the setting of the environmental regulation interference factor includes: summing N ij results in a comprehensive annual average throughput N' i for each production category.
The production environment interference weight of each production class purpose is recorded as theta i, andAs the limiting interference production ratio in which the environmental control interference factor ζ i,k Dry under each production category is the set unit production environmental interference weight, Δk Dry sets the interference ratio deviation.
The second aspect of the present invention provides an enterprise service management analysis operation method, which includes: s1, extracting region information: and extracting the production category and the operation data table of each registered enterprise in the target area from the area service platform.
S2, classifying and dividing enterprises: and classifying the production categories of each registered enterprise to obtain each registered enterprise under each production category.
S3, operation data analysis: and analyzing the operation state of each registered enterprise under each production category according to the operation data table, and outputting each resource allocation evaluation index of each registered enterprise under each production category.
S4, analyzing the resource allocation: and evaluating the priority recommended resource allocation production category of the target area through a resource allocation evaluation rule.
S5, analysis feedback display: and feeding back the priority recommended resource allocation production category of the target area to the area service platform, and displaying the priority recommended resource allocation production category.
Compared with the prior art, the invention has the following beneficial effects: (1) According to the method, the registered enterprises are classified, the operation states of the registered enterprises under various production categories are analyzed according to the operation data table of the registered enterprises, the priority recommended resource allocation production category is obtained through the evaluation of the resource allocation evaluation rule, the problem that the current resource allocation is insufficient according to timeliness is effectively solved, the defect that the current enterprise is only analyzed according to the current production condition is avoided, the long-term tracking analysis of the enterprises under different production categories in the area is realized, the reliability and the rationality of the subsequent regional resource analysis decision side are further ensured, and the effectiveness and the balance of regional development are further improved to the greatest extent.
(2) According to the invention, when the operation states of registered enterprises under various production categories are analyzed, the defects that the current assessment dimension and assessment factors are not comprehensive enough are overcome by analyzing the three dimensions of sales trend, distribution richness of sales areas and sales purchased stability, the error of production analysis from the two ends of production capacity and sales capacity is avoided, the long-term change rule of regional production and sales is fully considered, the adaptability of enterprise production to change time after resource allocation is improved, and the long-term and stability of development of the follow-up region state-owned enterprise industry is further ensured.
(3) According to the invention, when the priority recommended resource allocation production category is assessed, the environmental regulation interference factors under each production category are set according to the production environment interference weight of each production category, and the comprehensive resource allocation priority index of each production category is counted, so that the priority recommended resource allocation production category is output, the gap that the influence of enterprise development on regional environment and the like is not considered at present is filled, the sustainable development of regions is further ensured, the green development of regions is realized on the premise of ensuring stable development economy, the difficulty and cost of the coordination and balance of the regional environment and the like are reduced, the control degree of the regional investment return ratio is improved, and the accuracy and the scientificity of the regional development resource allocation are also improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of the connection of the modules of the system of the present invention.
FIG. 2 is a flow chart of the steps 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.
Referring to fig. 1, the present invention provides an enterprise service management analysis system, which includes: the system comprises a regional information extraction module, an enterprise classification module, an operation data analysis module, a resource allocation analysis module, a database and an analysis feedback terminal.
In the above, the enterprise classification module is respectively connected with the region information extraction module and the management data analysis module, the management data analysis module is also respectively connected with the region information extraction module and the resource allocation analysis module, and the resource allocation analysis module is also respectively connected with the region information extraction module, the database and the analysis feedback terminal.
The regional information extraction module is used for extracting the production category and the operation data table of each registered enterprise in the target region from the regional service platform.
And the enterprise classification module is used for classifying the production categories of all the registered enterprises according to the production categories of all the registered enterprises to obtain all the registered enterprises under all the production categories.
The operation data analysis module is used for analyzing the operation state of each registered enterprise under each production category according to the operation data table and outputting each resource allocation evaluation index of each registered enterprise under each production category, wherein each resource allocation index is sales trend, sales region richness and repurchase stability in sequence.
Illustratively, resolving the operating status of each registered enterprise under each production category includes: and step 1, locating the accumulated production quantity, the accumulated actual sales quantity, the accumulated return quantity and the accumulated planned sales quantity in each operational period from the operational data table, and counting the sales tendencies beta ij of each registered enterprise under each production category, wherein i represents the production category number, i=1, 2, & gt.
Wherein, the sales trend degree of each registered enterprise under each production category is counted, comprising: step 1-1, willAndAs a return ratio, a production inventory ratio, and a sales ratio, respectively.
And (2) recording the return ratio, the production inventory ratio and the sales ratio of each registered enterprise in each business year under each production category as (k Back out )ijt、(k Library )ijt and (k Pin )ijt, t represents business year numbers, t=1, 2.. U.).
Step 1-3, respectively marking the accumulated actual sales volume and the accumulated planned sales volume of each registered enterprise under each production category in each operation year as Y ijt and Y ij′t, counting the sales trend beta ij of each registered enterprise under each production category,Δy is the offset sales for the set reference,Representing a downward rounding symbol, u represents the number of business years.
And 2, locating the number of the accumulated sales areas and the positions of the accumulated sales areas in each business year from the business data table.
And 3, marking the positions of the accumulated sales areas corresponding to the operation years of the registered enterprises under the production categories on an electronic map to obtain the marked areas, and superposing the marked areas to obtain the sales area coverage areas corresponding to the operation years of the registered enterprises under the production categories.
Step 4, respectively carrying out average calculation on the accumulated sales area number and the sales area coverage area in each business year to obtain the average sales area number of each registered enterprise under each production categoryAnd average sales area coverage areaAnd evaluating the sales region richness gamma ij of each registered enterprise under each production category through a sales region richness evaluation model.
Specifically, the specific evaluation procedure of the sales area richness evaluation model is as follows: and 4-1, constructing a distribution area number change curve and a distribution area coverage area change curve of each registered enterprise under each production category by taking the business year as an abscissa and accumulating the distribution area number and the distribution area coverage area as ordinate, and recording the distribution area number change curve and the distribution area coverage area change curve as a curve I and a curve II respectively.
Step 4-2, extracting the length of the curve I, namely l ij, and extracting the total length of the curve sections above the average sales area number from the curve I, namely l ' ij, and extracting the length of the curve II, namely l ' ij, and extracting the total length of the curve sections above the average sales area coverage area from the curve II, namely l ' ij.
And 4-3, respectively dividing the curve I and the curve II in a three-level mode, and accordingly setting the sales area richness evaluation interference factor eta ij of each registered enterprise under each production category.
Further, setting the sales area richness evaluation interference factors of each registered enterprise under each production category, including: and V1, sequentially marking the three curve sections divided by the curve I as a curve section A, a curve section B and a curve section C according to the segmentation sequence, extracting the slopes of the curve section A, the curve section B and the curve section C, and marking the slopes as k A、kB and k C respectively.
In one embodiment, the slope of the curve segment is extracted by extracting the slope of the curve segment corresponding to the regression line.
V2, evaluating the richness evaluation interference factors of the regional number layers through richness interference evaluation rules, and sequentially evaluating the richness evaluation interference factors of the regional number layers corresponding to each registered enterprise under each production category
It should be noted that, the specific evaluation process of the richness interference evaluation rule is as follows: if k A＞kB＞kC, epsilon 0 is used as the richness evaluation interference factor of the regional number level.
If k A＞kC＞kB, epsilon 1 is used as the richness evaluation interference factor of the regional number level.
If k B＞kA＞kC, epsilon 2 is used as the richness evaluation interference factor of the regional number level.
If k B＞kC＞kA, epsilon 3 is used as the richness evaluation interference factor of the regional number level.
If k C＞kB＞kA, epsilon 4 is used as the richness evaluation interference factor of the regional number level.
If k C＞kA＞kB, using ε 5 as the richness estimation interference factor of the regional number layer to obtain the richness estimation interference factor of the regional number layer The value is epsilon 0 or epsilon 1 or epsilon 2 or epsilon 3 or epsilon 4 or epsilon 5, wherein epsilon 4＜ε3＜ε5＜ε2＜ε1＜ε0.
In one embodiment, ε 0 may be 0.9, ε 1 may be 0.7, ε 2 may be 0.5, ε 3 may be 0.2, ε 4 may be 0.1, and ε 5 may be 0.4.
In another embodiment, the analysis of the running state of the enterprise is generally divided into an initial stage, a growing stage and a maturing stage, and in a practical scenario, the enterprise in the initial stage usually faces challenges such as insufficient funds, low market acceptance, high operation risk, etc., that is, the number of sales areas in the initial stage should be relatively small and the amplification will be slower than that in the growing stage, the enterprise in the growing stage starts to expand the scale, increase sales amount, increase market share, etc., the sales areas will increase, the coverage of the sales areas will be expanded, and the maturing stage tends to be stable, so the invention sets the rule of evaluating the richness interference according to the rule.
And V3, processing the curve II in the same way according to the processing mode of the curve I, and obtaining the richness evaluation interference factor mu' ij of the coverage surface layer of the corresponding region of each registered enterprise under each production category according to the evaluation mode of the richness evaluation interference factor of the corresponding region number layer of each registered enterprise under each production category.
V4, willThe sales area richness evaluation interference factor eta ij of each registered enterprise under each production category is used as the sales area richness evaluation interference factor eta ij.
Step 4-4, willL ij、l′ij、l″ij、l″′ij and eta ij are used as inputs of a sales region richness assessment model, the sales region richness is used as outputs of the sales region richness assessment model, and the sales region richness assessment model specifically shows the following formula:
d ', S' are the number of sales areas and the coverage area of the sales areas for the set reference, respectively.
And 5, positioning each cooperation period and the annual purchase quantity in each cooperation period of each partner from the operation data table, and counting the repurchase stability delta ij of each registered enterprise under each production category.
Specifically, counting the repurchase stability of each registered enterprise under each production category comprises the following steps: and 5-1, setting a cooperation continuous weight factor sigma ijd of each registered enterprise corresponding to each partner under each production category based on each cooperation period of each partner, wherein d represents a partner number, d=1, 2.
Further, setting a collaboration persistent weight factor of each registered enterprise corresponding to each partner under each production category, including: and E1, marking the operation years of each registered enterprise under each production category and the cooperation years of each corresponding partner on a time number axis, and taking the time increasing direction as the right direction.
And E2, marking the marking points of the business years and the cooperation years on the time number axis as the business marking points and the cooperation marking points respectively.
And E3, counting the number X ij of operation marking points of each registered enterprise under each production category and the number R ijd of cooperation marking points of the corresponding cooperation parties, extracting the number of interval operation marking points among the cooperation marking points, and obtaining the average number J ijd of interval operation marking points of the cooperation marking points of each registered enterprise corresponding to the cooperation parties under each production category through average calculation.
And E4, forming an operation marking interval by the position of the first operation marking point and the position of the last operation marking point, forming a cooperation marking interval by the position of the first cooperation marking point and the position of the last cooperation marking point, respectively marking the center points of the operation marking interval and the cooperation marking interval as a target point and a comparison point, judging by a position judgment rule to obtain the annual deviation weight factors of the corresponding partners of each registered enterprise under each production category, and marking as omega ijd.
It should be noted that, the specific judgment process of the position judgment rule is as follows: e41, if the reference point position of a registered enterprise corresponding to a partner is positioned at the left side of the target point position of the registered enterprise under a certain production categoryAs a annual bias weight factor for the registered enterprise corresponding to the partner under the production category.
E42, if the reference point position of a registered enterprise corresponding to a partner under a certain production category is at the same position as the target point position, thenAs a annual bias weight factor for the registered enterprise corresponding to the partner under the production category.
E43, if the reference point position of a registered enterprise corresponding to a partner is located on the right side of the target point position of the registered enterprise under a certain production categoryAs the annual deviation weight factor of the registered enterprises corresponding to the partners under the production category, the annual deviation weight factor omega ijd,ωijd of the registered enterprises corresponding to the partners under the production category is obtained and is taken as the valueOr alternativelyOr alternatively
In one embodiment of the present invention, in one embodiment,It is possible to take a value of 0.4,It is possible to take a value of 0.6,The value can be 0.8.
E5, setting the cooperation continuous weight factor sigma ijd of each registered enterprise corresponding to each partner under each production category,J' is the number of the operation marking points of the set reference interval.
And 5-2, carrying out average value calculation on the annual purchase quantity of each partner corresponding to each registered enterprise under each production category in each cooperative year to obtain an average annual purchase quantity G ijd of each partner of each registered enterprise under each production category.
Step 5-3, calculating the average value of the accumulated production of each registered enterprise in each operation period under each production category to obtain the average annual accumulated production N ij of each registered enterprise under each production category, counting the repurchase stability delta ij of each registered enterprise under each production category,K Error in error is the corresponding compensation error purchasing ratio of the set unit cooperation duration weight factor.
And 6, taking beta ij、γij、δij as each resource allocation evaluation index of each registered enterprise under each production category.
According to the embodiment of the invention, when the operation states of all registered enterprises under all production categories are analyzed, the defects that the current assessment dimension and assessment factors are not comprehensive enough are overcome by analyzing the three dimensions of sales trend, distribution richness of sales areas and sales purchased stability, the error of production analysis from the two ends of production capacity and sales capacity is avoided, the long-term change rule of regional production and sales is fully considered, the adaptability of enterprise production to change time after resource allocation is improved, and the long-term and stability of development of the follow-up region state-owned enterprise is further ensured.
The resource allocation analysis module is used for evaluating and obtaining the priority recommended resource allocation production category of the target area through the resource allocation evaluation rule according to each resource allocation evaluation index of each registered enterprise under each production category.
Illustratively, the specific assessment procedure for the resource allocation assessment rules is as follows: and H1, extracting the production environment interference weight of each production category from the database, and setting the environment regulation interference factor xi i under each production category according to the production environment interference weight.
Further, setting an environmental regulatory interference factor, including: summing N ij results in a comprehensive annual average throughput N' i for each production category.
The production environment interference weight of each production class purpose is recorded as theta i, andAs the limiting interference production ratio in which the environmental control interference factor ζ i,k Dry under each production category is the set unit production environmental interference weight, Δk Dry sets the interference ratio deviation.
And H2, if the evaluation index of the resource allocation of a certain registered enterprise under a certain production category is larger than 0, marking the resource allocation index as an identical index, and counting the identical index number W ij of each registered enterprise under each production category.
H3, willThe registered enterprises under each production category are counted as standard-reaching enterprises, the number of the standard-reaching enterprises under each production category is recorded as Q i, and the number of the registered enterprises under each production category is recorded as Q' i.
And H4, respectively carrying out average calculation on beta ij、γij、δij to obtain average sales trend beta 'i, average sales region richness gamma' i and average repurchase stability delta 'i corresponding to registered enterprises under each production category, importing the average sales trend beta' i, the average sales region richness gamma 'i and the average repurchase stability delta' i into a sales state evaluation model, and outputting sales arrival optimal trend tau i of each production category.
It should be added that the sales state evaluation model specifically represents the following formula: Beta ', gamma ', delta ' are sales tendencies, average sales area richness, average repurchase stability for the set reference, respectively.
H5, counting the comprehensive resource allocation priority index zeta i of each production category,Delta tau is the set reference sales order, n is the number of manufacturing categories.
And H6, taking the production category with the largest comprehensive resource allocation priority index as the priority recommended resource allocation production category of the target area.
When the production category of the preferential recommended resource allocation is assessed, the environmental regulation interference factors under each production category are set according to the production environment interference weight of each production category, and the comprehensive resource allocation priority index of each production category is counted, so that the production category of the preferential recommended resource allocation is output, the gap that the influence of enterprise development on regional environment and the like is not considered at present is filled, the sustainable development of the region is further ensured, the green development of the region is realized on the premise of ensuring stable development economy, the difficulty and cost of the regulation and balance of the regional environment and the like are reduced, the control degree of the regional investment return ratio is improved, and the accuracy and scientificity of the regional development resource allocation are also improved.
The database is used for storing the production environment interference weight of each production class.
And the analysis feedback terminal is used for feeding back the priority recommended resource allocation production category of the target area to the area service platform and displaying the priority recommended resource allocation production category.
According to the embodiment of the invention, the registered enterprises are classified, the operation states of the registered enterprises under each production category are analyzed according to the operation data table of the registered enterprises, the priority recommended resource allocation production category is obtained through the evaluation of the resource allocation evaluation rule, the problem that the current resource allocation is insufficient according to timeliness is effectively solved, the defect that the current enterprise is only analyzed according to the current production condition is avoided, the long-term tracking analysis of the enterprises under different production categories in the region is realized, the reliability and the rationality of the resource analysis decision side of the subsequent region are further ensured, and the effectiveness and the balance of the regional development are further improved to the greatest extent.
Referring to fig. 2, the present invention provides an enterprise service management analysis operation method, which includes: s1, extracting region information: and extracting the production category and the operation data table of each registered enterprise in the target area from the area service platform.
S2, classifying and dividing enterprises: and classifying the production categories of each registered enterprise to obtain each registered enterprise under each production category.
S3, operation data analysis: and analyzing the operation state of each registered enterprise under each production category according to the operation data table, and outputting each resource allocation evaluation index of each registered enterprise under each production category.
S4, analyzing the resource allocation: and evaluating the priority recommended resource allocation production category of the target area through a resource allocation evaluation rule.
S5, analysis feedback display: and feeding back the priority recommended resource allocation production category of the target area to the area service platform, and displaying the priority recommended resource allocation production category.
The foregoing is merely illustrative and explanatory of the principles of this invention, as various modifications and additions may be made to the specific embodiments described, or similar arrangements may be substituted by those skilled in the art, without departing from the principles of this invention or beyond the scope of this invention as defined in the claims.
Claims (2)
1. An enterprise service management analysis system, characterized in that: the system comprises:
the regional information extraction module is used for extracting the production category and the operation data table of each registered enterprise in the target region from the regional service platform;
The enterprise classification and division module is used for classifying the production categories of all registered enterprises according to the production categories of all registered enterprises to obtain all registered enterprises under all production categories;
the management data analysis module is used for analyzing the management state of each registered enterprise under each production category according to the management data table and outputting each resource allocation evaluation index of each registered enterprise under each production category, wherein each resource allocation index is sales trend, sales region richness and repurchase stability in sequence;
the resource allocation analysis module is used for evaluating and obtaining the priority recommended resource allocation production category of the target area through the resource allocation evaluation rule according to each resource allocation evaluation index of each registered enterprise under each production category;
the database is used for storing the production environment interference weight of each production category;
the analysis feedback terminal is used for feeding back the priority recommended resource allocation production category of the target area to the area service platform and displaying the priority recommended resource allocation production category;
the analyzing the operation state of each registered enterprise under each production category comprises the following steps:
The accumulated production volume, the accumulated actual sales volume, the accumulated return volume and the accumulated planned sales volume in each operational period are positioned from the operational data table, and the sales tendencies of each registered enterprise under each production category are counted ，The number of the category of production is indicated,，Indicating the number of the registered business,；
Positioning the number of the accumulated sales areas and the positions of the accumulated sales areas in each business year from the business data table;
labeling the positions of the accumulated sales areas corresponding to the operation years of each registered enterprise under each production category on an electronic map to obtain each labeling area, and further superposing the labeling areas to obtain the sales area coverage areas corresponding to the operation years of each registered enterprise under each production category;
Average value calculation is respectively carried out on the accumulated sales area number and the sales area coverage area in each operation year to obtain the average sales area number of each registered enterprise under each production category And average sales area coverage areaObtaining the sales region richness of each registered enterprise under each production category through the sales region richness evaluation model evaluation；
Locating each cooperative year and annual purchase quantity in each cooperative year of each cooperative party from the management data table, and counting the re-purchase stability of each registered enterprise under each production category；
Will be、、As each resource allocation evaluation index of each registered enterprise under each production category;
the statistics of sales tendencies of each registered enterprise under each production category comprises the following steps:
Will be 、AndRespectively as a return ratio, a production stock ratio and a sales ratio;
The return ratio, the production inventory ratio and the sales ratio of each registered enterprise under each production category in each operation period are respectively recorded as 、And，The number of the operational years is indicated,；
The accumulated actual sales and the accumulated planned sales of each registered enterprise under each production category in each operation period are respectively recorded asAndCounting sales tendencies of registered enterprises under various production classes，，In order to set the offset sales for the reference,Representing the rounding-down symbol,Representing the number of operational years;
The specific evaluation process of the sales area richness evaluation model is as follows:
Taking the operational years as the abscissa, taking the accumulated sales area number and the sales area coverage area as the ordinate, constructing a sales area number change curve and a sales area coverage area change curve of each registered enterprise under each production category, and respectively recording the curves as a curve I and a curve II;
extracting the length of the curve I, and recording as And extracting the total length of the curve segments above the average sales area number from the curve I asSimultaneously extracting the length of the curve IIAnd extracting the total length of the curve segment above the coverage area of the average sales area from the curve II, and recording as；
The curve I and the curve II are respectively divided into three parts, and accordingly, the sales area richness evaluation interference factors of each registered enterprise under each production category are set；
Will be、、、、、AndAs an input of the sales region richness assessment model, the sales region richness is used as an output of the sales region richness assessment model, and the sales region richness assessment model specifically represents the following formula:
， the number of the sales areas and the coverage area of the sales areas are respectively set as references;
the setting of the sales area richness evaluation interference factors of each registered enterprise under each production category comprises the following steps:
The three curve sections divided by the curve I are sequentially marked as a curve section A, a curve section B and a curve section C according to the dividing sequence, and the slopes of the curve section A, the curve section B and the curve section C are extracted and respectively marked as 、And;
Obtaining the richness estimation interference factors of the regional number layers through the richness interference estimation rule estimation, and sequentially estimating and obtaining the richness estimation interference factors of the regional number layers corresponding to each registered enterprise under each production category；
Processing the curve II according to the same process of the curve I, and obtaining the richness evaluation interference factors of the coverage surface layers of the corresponding areas of each registered enterprise under each production category according to the evaluation mode of the richness evaluation interference factors of the corresponding area number layers of each registered enterprise under each production category；
Will beSales area richness assessment interference factor as each registered enterprise under each production category；
The counting of the repurchase stability of each registered enterprise under each production category comprises the following steps:
setting continuous cooperation weight factors of each registered enterprise corresponding to each partner under each production category based on each cooperation period of each partner ，The number of the partner is indicated,；
Average value calculation is carried out on the annual purchase quantity of each partner corresponding to each registered enterprise under each production category in each cooperative year, and the average annual purchase quantity of each partner of each registered enterprise under each production category is obtained；
Average value calculation is carried out on the accumulated production quantity of each registered enterprise under each production category in each operation period to obtain the average annual accumulated production quantity of each registered enterprise under each production categoryCounting the repurchase stability of each registered enterprise under each production category，,Compensating the error purchasing ratio corresponding to the set unit cooperation continuous weight factor;
Setting the cooperation continuous weight factors of the corresponding partners of each registered enterprise under each production category, wherein the cooperation continuous weight factors comprise:
Marking each operation year of each registered enterprise under each production category and each cooperation year of each corresponding partner on a time number axis, and taking the increasing direction of time as the right direction;
marking the marking points of the business years and the cooperation years on the time number axis as the business marking points and the cooperation marking points respectively;
counting the number of operation marking points of each registered enterprise under each production category Number of cooperative marking points corresponding to each partnerThe number of the interval management marking points among the cooperation marking points is extracted, and the average interval management marking point number of the cooperation marking points in the cooperation parties corresponding to each registered enterprise under each production category is obtained through average calculation；
The first operation marking point position and the last operation marking point position are combined into an operation marking interval, the first cooperation marking point position and the last cooperation marking point position are combined into a cooperation marking interval, the center points of the operation marking interval and the cooperation marking interval are respectively marked as a target point and a comparison point, the annual deviation weight factors corresponding to the partners of each registered enterprise under each production category are obtained through judgment of position judgment rules, and are marked as；
Setting cooperation continuous weight factors of corresponding partners of registered enterprises under various production classes，，Setting the number of the operation marking points of the reference interval;
the specific evaluation process of the resource allocation evaluation rule is as follows:
extracting the production environment interference weight of each production category from the database, and setting the environment regulation interference factor under each production category ;
If the evaluation index of the resource allocation of a registered enterprise under a certain production category is greater than 0, marking the resource allocation index as an identical index, and counting the identical index number of each registered enterprise under each production category；
Will beThe registered enterprises of the production line are taken as standard-reaching enterprises, the number of the standard-reaching enterprises under each production category is counted and recorded asSimultaneously, the number of registered enterprises under each production category is recorded as；
Will be、、Respectively carrying out average value calculation to obtain average sales tendencies corresponding to registered enterprises under various production categoriesAbundance of average sales areaAnd average repurchase stabilityAnd the sales state evaluation model is imported to output the sales priority of each production category；
Counting comprehensive resource allocation priority index of each production category，，To set the reference sales order to be poor,For the number of production categories;
taking the production category with the largest comprehensive resource allocation priority index as the priority recommended resource allocation production category of the target area;
The setting of the environmental regulation interference factor comprises:
For a pair of Summing to obtain the comprehensive annual average production of each production category；
The production environment interference weight of each production class purpose is recorded asWill beAs an environmental regulatory interference factor under various production classes，To set a defined interference production ratio per unit production environment interference weight,And setting interference ratio deviation.
2. An enterprise service management analysis operation method performed by the enterprise service management analysis system of claim 1, wherein: the method comprises the following steps:
S1, extracting region information: extracting production categories and operation data tables of registered enterprises in a target area from an area service platform;
S2, classifying and dividing enterprises: classifying production categories of all registered enterprises to obtain all registered enterprises under all production categories;
S3, operation data analysis: analyzing the operation state of each registered enterprise under each production category according to the operation data table, and outputting each resource allocation evaluation index of each registered enterprise under each production category;
s4, analyzing the resource allocation: the priority recommended resource allocation production category of the target area is obtained through the evaluation of the resource allocation evaluation rule;
S5, analysis feedback display: and feeding back the priority recommended resource allocation production category of the target area to the area service platform, and displaying the priority recommended resource allocation production category.
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