CN115345585A - Supply chain intelligent management system for enterprise operation - Google Patents
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Abstract
The invention discloses an intelligent supply chain management system for enterprise operation, which can monitor upstream and downstream enterprise sales data of target products produced by enterprises, judge the operational stability of the enterprises in a plurality of past periods according to the change of sales volume of the enterprises, screen out the enterprises with high stability and ascending trend, eliminate the enterprises with larger fluctuation of sales volume and obvious descending trend, assist the enterprises in screening, improve the stability and quality of supply chains related to production and sales of the enterprise products and reduce the operational risk of the enterprises.
Description
Technical Field
The invention belongs to the technical field of intelligent operation management, and particularly relates to an intelligent management system of a supply chain for enterprise operation.
Background
The supply chain comprises five basic contents of planning, purchasing, manufacturing, delivering and returning, and the supply chain management refers to a management method for effectively organizing suppliers, manufacturers, warehouses, delivery centers, channels and the like together to manufacture, transfer, distribute and sell products under the condition of meeting a certain customer service level and in order to minimize the cost of the whole supply chain system.
The modern business environment brings huge pressure to enterprises, enterprises at all levels in a supply chain need to adapt to ever-changing market competition environments, and when the enterprises expand the market and replace upstream and downstream enterprises, the enterprises are difficult to intuitively understand the operation conditions of the enterprises in the past period of time according to quotations and other parameters, so that a new supply chain formed may have potential greater risks and influence the healthy and stable operation of the enterprises.
Disclosure of Invention
The invention aims to provide an intelligent supply chain management system for enterprise operation, which solves the problems that potential greater risks exist when upstream and downstream enterprises are newly added or replaced and the healthy and stable operation of the enterprises is influenced in the prior art.
The purpose of the invention can be realized by the following technical scheme:
supply chain intelligent management system is used in enterprise operation includes:
the enterprise database is used for storing enterprise information on the upstream and the downstream of the supply chain;
the system comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring sales volume information, acquisition volume information, enterprise related data and enterprise sales product related data of each ecological niche enterprise in a supply chain;
the working method of the supply chain intelligent management system for enterprise operation comprises the following steps:
the method comprises the steps of firstly, acquiring ecological niches of enterprises in a supply chain formed by target products according to the supply relation between the enterprises and the target products, and marking a first-level upstream enterprise and a first-level downstream enterprise;
secondly, acquiring the counting number of each level of upstream enterprise in m periods, acquiring the market ratio Z1, Z2, … … and Zn of each level of upstream enterprise according to the counting number of each level of upstream enterprise and the counting total number of each level of upstream enterprise, then acquiring the market ratio data of each level of upstream enterprise in m periods, and acquiring Zi1, zi2, … … and Zim, wherein i is more than or equal to 1 and less than or equal to n, and j is more than or equal to 1 and less than or equal to m;
according to the formula
Obtaining F, wherein the mark of F is an upper level individual operation fluctuation value, zip = (Zi 1+ Zi2+, … …, + Zim)/m;
obtaining [ Zi2-Zi1 ]]、[Zi3-Zi2]、……、[Zim-Zi(m-1)]This set of data is labeled z1, z2, … …, z (m-1) in order, according to the formula
Calculating to obtain an operation change value B of a first-level upstream enterprise, wherein k is more than 1 and less than or equal to m-1;
calculating to obtain a market proportion actual floating value Zb of each level of upstream enterprises according to Zim-Zi 1;
thirdly, according to the method in the second step, calculating sequentially to obtain an individual operation fluctuation value F1, an operation change value B1 and a market proportion actual floating value Zb1 of each level of downstream enterprises;
fourthly, when the enterprise needs to expand a first-level downstream enterprise and/or a first-level upstream enterprise;
firstly, acquiring a market proportion actual floating value Zb1 of a corresponding enterprise;
if Zb1 is a negative value, calculating an enterprise evaluation coefficient Q1 of a primary downstream enterprise according to a formula Q1= α 1 × Zb1 × B1+ α 2 × f1, wherein α 1 and α 2 are preset coefficients, and the larger the value of B1 is, the smaller the value of Q1 is; the larger the F1 value is, the smaller the Q1 value is;
if Zb1 is a positive value, calculating to obtain an enterprise evaluation coefficient Q1 of a first-level downstream enterprise according to a formula Q1= alpha 3 × Zb1/B1+ alpha 4 × F1; wherein alpha 3 and alpha 4 are preset coefficients, and the larger the value of B1 is, the smaller the value of Q1 is; the larger the Zb1 value is, the larger the Q1 value is; the larger the F1 value is, the smaller the Q1 value is;
dividing first-level downstream enterprises into two batches according to the fact that the market proportion actual floating value Zb1 is a positive value and a negative value, and respectively arranging the batches in sequence according to the size of a Q1 value;
arranging the first-level upstream enterprises according to the method in the fourth step in sequence according to Q1;
fifthly, acquiring a plurality of first-level downstream enterprises of which the enterprise evaluation coefficients Q1 are greater than a preset value Qy1 when Zb1 is a positive value, and acquiring a plurality of first-level downstream enterprises of which the enterprise evaluation coefficients Q1 are greater than a preset value Qy2 when Zb1 is a negative value, and marking the enterprises as stable downstream enterprises;
and acquiring a plurality of stable upstream enterprises according to the method for acquiring the stable downstream enterprises.
As a further scheme of the invention, the enterprise related data comprises enterprise scale and enterprise litigation information, and the enterprise sales product related data comprises product sales price, favorable rating and sales volume.
As a further scheme of the invention, in the second step, the counted quantity is the purchase quantity of each level-one upstream enterprise and level-one downstream enterprise, and the purchase quantity is the raw material purchase quantity adopted by the corresponding enterprise in the production process of the target product.
As a further aspect of the present invention, in the second step, the counting amount is the sales volume of the first-level upstream enterprise and the first-level downstream enterprise, and the sales volume refers to the sales volume of the intermediate product produced by the corresponding enterprise in the own niche in the supply chain where the target product is located.
As a further scheme of the invention, after the stable upstream enterprises and the stable downstream enterprises are obtained, enterprise-related data and enterprise sales product-related data of the stable upstream enterprises and the stable downstream enterprises are obtained and transmitted to the recommendation display module.
The invention has the beneficial effects that:
(1) The invention can monitor the upstream and downstream enterprise sales data of target products produced by enterprises, judge the operational stability of each enterprise in a plurality of past periods according to the change of the sales volume of each enterprise, screen out the enterprises with high stability and ascending trend, eliminate the enterprises with larger fluctuation of the sales volume and obvious descending trend, assist the enterprises to screen out, improve the stability and quality of the supply chain related to the production and sales of the products of the enterprises and reduce the operational risk of the enterprises;
(2) The method and the system have the advantages that the open information is collected and processed, the operation stability of the enterprise is judged, the enterprise is evaluated according to the obtained operation stability, the enterprise-related data corresponding to the enterprise and the enterprise-sold product-related data, the stable supply relationship with long-term development prospect is obtained, the forward feedback is formed for the enterprise, and the forward stable development of the enterprise is facilitated.
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The invention will be further described with reference to the accompanying drawings.
Fig. 1 is a schematic diagram of a framework structure of an enterprise operation supply chain intelligent management system.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The system for intelligently managing the supply chain for enterprise operation, as shown in fig. 1, includes:
the system comprises an enterprise database, a data processing system and a data processing system, wherein the enterprise database is used for storing enterprise information of upstream and downstream of a supply chain, and particularly divides ecological niches of enterprises in the supply chain into a raw material group, a transportation group, a processing group, a storage group and a sales group;
the system comprises a data acquisition module, a data acquisition module and a data processing module, wherein the data acquisition module is used for acquiring sales volume information, acquisition volume information, enterprise related data and enterprise sales product related data of each ecological niche enterprise in a supply chain;
the enterprise related data comprises enterprise scale and enterprise litigation information, wherein the enterprise scale can be determined by using the number of insured persons; the related data of the products sold by the enterprises comprise the selling price, the good appraisal rate and the sales volume of the products;
the data processing module is used for processing the information uploaded by the enterprise database and the data acquisition module and determining the ecological niche of the enterprise in the target product supply chain and enterprise evaluation coefficients of a first-level upstream enterprise and a first-level downstream enterprise corresponding to the enterprise;
the recommendation display module is used for displaying the first-level upstream enterprise and the first-level downstream enterprise which are recommended after the data processing module performs information processing, and displaying enterprise-related data of the enterprises and enterprise sales product-related data;
the working method of the supply chain intelligent management system for enterprise operation comprises the following steps:
the method comprises the steps that firstly, according to the supply relation of an enterprise and a target product, the ecological niche of the enterprise in a supply chain formed by the target product is obtained, then according to the ecological niche of the enterprise in the supply chain, an upstream enterprise list and a downstream enterprise list corresponding to the enterprise are obtained, all the enterprises in the upstream enterprise list are marked as first-level upstream enterprises, and all the enterprises in the downstream enterprise list are marked as first-level downstream enterprises;
wherein the target product is an end product or an intermediate product;
secondly, marking the primary upstream enterprises as U1, U2, … … and Un in sequence, wherein n is the number of the primary upstream enterprises in a statistical range, acquiring the total sales Q1 of the primary upstream enterprises, recording the data change of the total sales Q1 of the primary upstream enterprises in m periods, and acquiring a group of data Q11, Q12, … … and Q1m;
obtaining the sales volume of each level of upstream enterprise, obtaining the market ratios Z1, Z2, … … and Zn of each level of upstream enterprise according to the sales volume of each level of upstream enterprise and the total sales volume of the level of upstream enterprise, obtaining the market ratio data of each level of upstream enterprise in m periods, and obtaining a group of data Zi1, zi2, … … and Zim, wherein i is more than or equal to 1 and less than or equal to n, and j is more than or equal to 1 and less than or equal to m;
according to the formula
Obtaining F, wherein the mark of F is an upper level individual operation fluctuation value, zip = (Zi 1+ Zi2+, … …, + Zim)/m;
obtaining [ Zi2-Zi1 ]]、[Zi3-Zi2]、……、[Zim-Zi(m-1)]This set of data is labeled z1, z2, … …, z (m-1) in order, according to the formula
Calculating to obtain an operation change value B of the first-level upstream enterprises, wherein the B represents the regularity of the change of the market proportion data of each first-level upstream enterprise in the past m periods, k is more than 1 and less than or equal to m-1, zp is the average value of z1 to z (m-1); when the sales amount is unchanged or steadily rises, the change of the B value is small;
calculating to obtain a market ratio actual floating value Zb of each level of upstream enterprise according to Zim-Zi1, wherein the market ratio actual floating value Zb represents the final time ratio data variation of each level of upstream enterprise in the past m periods;
thirdly, sequentially calculating to obtain an individual operation fluctuation value F1, an operation change value B1 and a market ratio actual floating value Zb1 of each level of downstream enterprises according to the method in the second step;
in an embodiment of the invention, when the sales volumes of the primary upstream enterprise and the primary downstream enterprise are counted in the second step and the third step, the counted sales volumes refer to the sales volumes of intermediate products produced by the corresponding enterprises in the ecological niches of the supply chain where the target products are located;
in another embodiment of the present invention, during the data acquisition in the second step and the third step, the acquisition amount of each level-one upstream enterprise and each level-one downstream enterprise may also be acquired, where the acquisition amount is the raw material acquisition amount adopted by the corresponding level-one upstream enterprise or level-one downstream enterprise in the target product production process;
fourthly, when the enterprise needs to expand a first-level downstream enterprise and/or a first-level upstream enterprise;
firstly, acquiring a market proportion actual floating value Zb1 of a corresponding enterprise;
if Zb1 is a negative value, calculating an enterprise evaluation coefficient Q1 of a primary downstream enterprise according to a formula Q1= α 1 × Zb1 × B1+ α 2 × f1, wherein α 1 and α 2 are preset coefficients, and the larger the value of B1 is, the smaller the value of Q1 is; the larger the F1 value is, the smaller the Q1 value is;
if Zb1 is a positive value, calculating to obtain an enterprise evaluation coefficient Q1 of a first-level downstream enterprise according to a formula Q1= alpha 3 × Zb1/B1+ alpha 4 × F1;
wherein alpha 3 and alpha 4 are preset coefficients, and the larger the value of B1 is, the smaller the value of Q1 is; the larger the Zb1 value is, the larger the Q1 value is; the larger the F1 value is, the smaller the Q1 value is;
dividing first-level downstream enterprises into two batches according to the fact that the market proportion actual floating value Zb1 is a positive value and a negative value, and respectively arranging the batches in sequence according to the size of a Q1 value;
sequentially arranging the first-level upstream enterprises according to the enterprise evaluation coefficient Q1 by the method in the fourth step;
the enterprise evaluation coefficient can be subjected to statistical analysis on sales or acquisition data of an enterprise in the past for a period of time, so that an enterprise list with stable and upward operating conditions can be quickly obtained, the enterprise can conveniently screen high-quality upstream and downstream enterprises in a supply chain, the enterprises with unstable operating conditions and obvious downward operating trend can be timely found and eliminated, and the stability and the safety of the upstream and downstream of the enterprise production supply chain can be improved.
The enterprise evaluation coefficient respectively determines the actual floating value of the market ratio according to the difference between positive and negative values during calculation, when the actual floating value of the market ratio is a positive value, the market ratio represents that a corresponding enterprise integrally rises within a period of time in the past, the fluctuation is smaller, the enterprise with more stable growth is more excellent in the whole, when the actual floating value of the market ratio is a negative value, the market ratio represents that the corresponding enterprise integrally falls within the period of time in the past, and at the moment, the enterprise with smaller overall reduction range and smaller growth fluctuation needs to be pursued; the two situations are discussed separately, namely the situation that the fluctuation in a short term is in a normal condition within a certain range and cannot represent a long-term and real development state of an enterprise is considered, and the situation that the enterprise which grows overall in the short term but has large fluctuation has a priority degree which is obviously higher than that of the enterprise which decreases slightly overall in the short term but has small fluctuation amplitude is avoided;
fifthly, acquiring a plurality of first-level downstream enterprises of which the enterprise evaluation coefficients Q1 are greater than a preset value Qy1 when Zb1 in the first-level downstream enterprises is a positive value, acquiring a plurality of first-level downstream enterprises of which the enterprise evaluation coefficients Q1 are greater than a preset value Qy2 when Zb1 in the first-level downstream enterprises is a negative value, and marking the enterprises as stable downstream enterprises;
acquiring a plurality of stable upstream enterprises according to the method for acquiring stable downstream enterprises;
acquiring enterprise related data and enterprise sales product related data of a stable upstream enterprise and a stable downstream enterprise, and selecting a proper upstream enterprise and a proper downstream enterprise to develop according to enterprise business needs;
the method comprises the steps of obtaining a cooperation mode meeting the current enterprise needs from the aspects of market public praise, net profit, transportation cost and the like according to the enterprise business needs.
The invention can monitor the upstream and downstream enterprise sales data of the target products produced by the enterprises, judge the operational stability of the enterprises in a plurality of past periods according to the change of the sales volume of the enterprises, screen out the enterprises with high stability and rising trend, eliminate the enterprises with larger fluctuation of the sales volume and obvious falling trend, assist the enterprises to screen, improve the stability and quality of the supply chain related to the production and sales of the products of the enterprises and reduce the operational risk of the enterprises.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to 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 invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. 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 illustrative and explanatory only and is not intended to be exhaustive or to limit the invention to the precise embodiments described, and various modifications, additions, and substitutions may be made by those skilled in the art without departing from the scope of the invention or exceeding the scope of the claims.
Claims (5)
1. Supply chain intelligent management system is used in enterprise operation, its characterized in that includes:
the enterprise database is used for storing enterprise information on the upstream and the downstream of the supply chain;
the system comprises a data acquisition module, a data acquisition module and a data processing module, wherein the data acquisition module is used for acquiring sales volume information, acquisition volume information, enterprise related data and enterprise sales product related data of each ecological niche enterprise in a supply chain;
the working method of the supply chain intelligent management system for enterprise operation comprises the following steps:
the method comprises the steps of firstly, acquiring ecological niches of enterprises in a supply chain formed by target products according to the supply relation between the enterprises and the target products, and marking a first-level upstream enterprise and a first-level downstream enterprise;
secondly, acquiring the counting number of each level of upstream enterprise in m periods, acquiring the market ratio Z1, Z2, … … and Zn of each level of upstream enterprise according to the counting number of each level of upstream enterprise and the counting total number of each level of upstream enterprise, then acquiring the market ratio data of each level of upstream enterprise in m periods, and acquiring Zi1, zi2, … … and Zim, wherein i is more than or equal to 1 and less than or equal to n, and j is more than or equal to 1 and less than or equal to m;
according to the formula
Obtaining F, wherein the mark of F is an upper level individual operation fluctuation value, zip = (Zi 1+ Zi2+, … …, + Zim)/m;
obtaining [ Zi2-Zi1 ]]、[Zi3-Zi2]、……、[Zim-Zi(m-1)]This set of data is labeled z1, z2, … …, z (m-1) in order, according to the formula
Calculating to obtain an operation change value B of a first-level upstream enterprise, wherein k is more than 1 and less than or equal to m-1, zp is an average value of z1 to z (m-1);
calculating to obtain the actual market ratio floating value Zb of each level of upstream enterprises according to Zim-Zi 1;
thirdly, sequentially calculating to obtain an individual operation fluctuation value F1, an operation change value B1 and a market ratio actual floating value Zb1 of each level of downstream enterprises according to the method in the second step;
fourthly, when the enterprise needs to expand a first-level downstream enterprise and/or a first-level upstream enterprise;
firstly, acquiring a market proportion actual floating value Zb1 of a corresponding enterprise;
if Zb1 is a negative value, calculating an enterprise evaluation coefficient Q1 of a primary downstream enterprise according to a formula Q1= α 1 × Zb1 × B1+ α 2 × f1, wherein α 1 and α 2 are preset coefficients, and the larger the value of B1 is, the smaller the value of Q1 is; the larger the F1 value is, the smaller the Q1 value is;
if Zb1 is a positive value, calculating to obtain an enterprise evaluation coefficient Q1 of a first-level downstream enterprise according to a formula Q1= alpha 3 × Zb1/B1+ alpha 4 × F1; wherein alpha 3 and alpha 4 are preset coefficients, and the larger the value of B1 is, the smaller the value of Q1 is; the larger the Zb1 value is, the larger the Q1 value is; the larger the F1 value is, the smaller the Q1 value is;
dividing first-level downstream enterprises into two batches according to the fact that the market proportion actual floating value Zb1 is a positive value and a negative value, and respectively arranging the batches in sequence according to the size of a Q1 value;
arranging the first-level upstream enterprises according to the method in the fourth step in sequence according to Q1;
fifthly, acquiring a plurality of first-level downstream enterprises of which the enterprise evaluation coefficients Q1 are greater than a preset value Qy1 when Zb1 is a positive value, and acquiring a plurality of first-level downstream enterprises of which the enterprise evaluation coefficients Q1 are greater than a preset value Qy2 when Zb1 is a negative value, and marking the enterprises as stable downstream enterprises;
and acquiring a plurality of stable upstream enterprises according to the method for acquiring the stable downstream enterprises.
2. The system of claim 1, wherein the enterprise-related data includes enterprise size, enterprise litigation information, and enterprise sales product-related data includes product sales price, goodness, and sales volume.
3. The system according to claim 1, wherein the second step is to count the number of the acquisitions of each level upstream enterprise and each level downstream enterprise, and the number of the acquisitions is the number of the raw material acquisitions used by the corresponding enterprise in the production process of the target product.
4. The system according to claim 1, wherein the amount counted in the second step is the sales volume of the first-level upstream enterprise and the first-level downstream enterprise, and the sales volume is the sales volume of the intermediate product produced by the corresponding enterprise in the ecological niche of the supply chain where the target product is located.
5. The system of claim 1, wherein after acquiring stable upstream enterprises and stable downstream enterprises, acquiring enterprise-related data and enterprise sales product-related data of each stable upstream enterprise and stable downstream enterprise, and transmitting the data to the recommendation display module.
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