CN116362905B - Financial management method and system based on logistics industry chain - Google Patents
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Abstract
The invention discloses a financial management method and a system based on a logistics industry chain, which relate to the technical field of financial management and disclose an information acquisition module, a financial account-taking module and an account-taking judging module.
Description
Technical Field
The invention relates to the technical field of financial management, in particular to a financial management method and system based on a logistics industry chain.
Background
The logistics industry chain relates to the logistics transportation of each industry, and some companies can put forward the requirement of taking account to logistics distribution companies, and in order to guarantee the profit, the logistics companies can generally allow the requirement of taking account of the companies, so that the logistics companies are required to take account of money from the external finance to complement the cost of the logistics transportation, the financial shortage of the logistics companies is easily caused, and simultaneously, financial staff is required to operate the taking account and the taking account of money, so that the labor cost is too high.
Disclosure of Invention
Aiming at the defects of the prior art, the invention aims to provide a financial management method and a financial management system based on a logistics industry chain.
In order to achieve the above purpose, the present invention provides the following technical solutions:
the financial management method based on the logistics industry chain comprises the following steps:
step one: collecting logistics distribution records and credit records, and sending the logistics distribution records and the credit records to a server for storage;
step two: marking different clients as reasonable credit clients and reasonable compensation clients according to the logistics distribution records, and supplementing distribution benefits corresponding to the reasonable compensation clients into credit accounts of the reasonable credit clients when the reasonable credit clients credit;
step three: whether the reasonable credit client is allowed to reserve the credit qualification is judged, and the credit qualification of the reasonable credit client is canceled when the financial empty density value I c of the reasonable credit client is larger than or equal to the financial empty density value threshold Di.
Further, the financial management system based on the logistics industry chain comprises an information acquisition module, a financial credit module and a credit judgment module;
the information acquisition module is used for acquiring logistics distribution records and credit records, and sending the logistics distribution records and the credit records to the server for storage;
the financial credit module is used for marking whether a customer allows credit according to logistics distribution records, and specifically comprises the following steps:
obtaining all logistics distribution records of the same receiving clients one year before the current time of the system, sequencing distribution starting time and distribution ending time in all logistics distribution records of the same receiving clients one year before the current time of the system according to time sequence, calculating time difference values between distribution ending time and distribution starting time of two adjacent same receiving clients to obtain distribution demand intervals Rs of the same receiving clients, summing the distribution demand intervals of the same receiving clients and obtaining an average value to obtain distribution demand average intervals Tg of the same receiving clients; obtaining the total number Ek of logistics distribution records of a year before the current time of the system, and obtaining the total number Hw of logistics distribution records of the same receiving clients of a year before the current time of the system; summing the distribution benefits of all logistics distribution records of the same receiving clients one year before the current time of the system, and taking an average value to obtain average distribution benefits Mn of the same receiving clients;
calculating a time difference between the delivery end time and the delivery start time of each logistics delivery record to obtain delivery time, wherein each delivery time corresponds to an ideal time of one customer and is compared with the ideal time, and when the delivery time is smaller than the ideal time, the delivery time is marked as a meeting time to obtain a logistics meeting value Qe of the same delivery customer; when the delivery time length is longer than the ideal time length, marking the delivery time length as disappointing time length, and obtaining a logistics disappointing value By of the same receiving client;
obtaining the delivery starting time of the first logistics delivery record of the receiving client, and calculating the time difference between the current time of the system and the delivery starting time of the first logistics delivery record to obtain the cooperation duration Fa; using the formulaObtaining a financial pad value Me of a receiving client, wherein d1, d2, d3, d4, d5, d6 and d7 are all preset proportion coefficients, setting a financial pad value threshold value as Ue, marking the receiving client as a reasonable charge client when the financial pad value Me of the receiving client is larger than or equal to the financial pad value threshold value Ue, marking the receiving client as a reasonable charge client when the financial pad value Me of the receiving client is smaller than the financial pad value threshold value Ue, and supplementing distribution benefits corresponding to the reasonable charge client into charge money of the reasonable charge client when the charge client is charged;
the credit judgment module is used for judging whether a reasonable credit customer allows the credit qualification to be reserved or not, and specifically comprises the following steps:
obtaining all the credit records of the same reasonable credit client one year before the current time of the system, and calculating the time difference between the account returning time and the credit time of the same credit record to obtain the credit duration; setting a pre-return time length corresponding to each charge time length, comparing the charge time length with the pre-return time length, and marking the charge time length as a financial vacancy time length when the charge time length is longer than the pre-return time length to obtain a financial vacancy density value I c of a reasonable charge customer; and setting the financial air density value threshold as D i, and canceling the credit qualification of the reasonable credit client when the financial air density value I c of the reasonable credit client is larger than or equal to the financial air density value threshold D i.
Further, the logistics distribution record comprises a customer name, distribution starting time, distribution ending time and distribution income.
Further, the credit records comprise a credit customer name, a credit time and a credit return time.
Further, the distribution demand interval is obtained by the following steps: the delivery end time of the adjacent and time-preceding identical receiving customer is marked as Pt, the delivery start time of the adjacent and time-preceding identical receiving customer is marked as Ps, the delivery end time of the adjacent and time-following identical receiving customer is marked as Zt, the delivery start time of the adjacent and time-following identical receiving customer is marked as Zs, and the formula is utilizedAnd obtaining a distribution demand interval Rs of the same receiving clients, wherein a1 and a2 are uniformly preset with a proportionality coefficient.
Further, the logistics meeting value Qe of the same receiving client is obtained through the following steps: calculating the difference value between the ideal time length and the satisfied time length to obtain satisfied time difference L i; setting the satisfying time difference coefficient as Uz, and utilizing a formulaThe method comprises the steps of obtaining full difference values Wj of the same receiving clients, wherein i=1, 2, … … and n are the total times of the distribution time length marked as the satisfying time length, sequencing distribution starting moments corresponding to all the satisfying time lengths according to time sequence, calculating time difference values of distribution starting moments corresponding to two adjacent satisfying time lengths, obtaining a satisfying interval, summing all the satisfying intervals, averaging, and obtaining a satisfying average interval Bc; acquiring the total times Vs of the same receiving clients in one year before the current time of the system, and utilizing the formula +.>And obtaining a logistics meeting value Qe of the same receiving client, wherein b1, b2 and b3 are all preset proportionality coefficients.
Further, the logistic disappointment value By of the same receiving customer is obtained By the following stepsTo: calculating the difference value between disappointing time length and ideal time length to obtain disappointing time difference Pj; setting disappointing time difference coefficient as Gx, and utilizing a formulaObtaining disagreement values I s of the same receiving clients, wherein j=1, 2, … …, n and n are total times of the distribution time periods marked as disagreement time periods, sequencing distribution starting moments corresponding to all disagreement time periods according to time sequence, calculating time difference values of distribution starting moments corresponding to two adjacent disagreement time periods, obtaining disagreement intervals, carrying out summation treatment on all disagreement intervals, taking an average value, and obtaining disagreement average intervals Kn; acquiring total times Ag of disappointing duration of same receiving clients one year before the current time of the system, and using a formula +.>Obtaining a logistics disappointment value By of the same receiving client, wherein c1, c2 and c3 are all preset proportionality coefficients.
Further, the financial density value I c of the reasonable charge customer is obtained by the following steps: calculating the difference value between the financial vacancy time length and the pre-return time length to obtain financial vacancy time difference, and summing the financial vacancy time difference of the same reasonable charge customer to obtain total financial vacancy time Gq; sequencing the charge moments corresponding to the financial vacancy duration according to time sequence, calculating time difference values of two adjacent charge moments after sequencing to obtain a financial charge interval, summing the charge intervals of the same reasonable charge clients to obtain a financial charge total interval Mz, and using a formulaAnd acquiring a financial air density value I c of a reasonable charge customer, wherein e1 and e2 are preset proportionality coefficients.
Compared with the prior art, the invention has the following beneficial effects:
1. the financial charge module is arranged, different clients are reasonably comprehensively analyzed according to logistics distribution records, different clients are divided into reasonable charge clients and reasonable charge clients, a charge closed loop of the whole logistics industry chain is realized, financial management of the logistics industry chain is facilitated, and simultaneously fund supplement of external finance to the whole logistics industry chain is reduced;
2. the setting of the charge judgment module can judge whether the charge is allowed to continue according to the charge record of the reasonable charge client, so that the situation that the whole logistics industry chain is financial shortage caused by the charge of the reasonable charge client is avoided.
Drawings
FIG. 1 is a block flow diagram of a financial credit module of the present invention;
FIG. 2 is a block flow diagram of a charge determination module according to the present invention.
Detailed Description
Example 1
Referring to fig. 1, a financial management system based on a logistics industry chain comprises an information acquisition module and a financial credit module;
the information acquisition module is used for acquiring the logistics distribution records and the charge records, and sending the logistics distribution records and the charge records to the server for storage; the logistics distribution record comprises a receiving client name, distribution starting time, distribution ending time and distribution income, wherein the receiving client name is "a" of chemical industry Co., ltd., the distribution starting time is 17:05 of 5 days of 3 months in 2020, the distribution ending time is 08:19 of 7 days of 3 months in 2020, and the distribution income is 5000 yuan. The credit records comprise a credit customer name, a credit time and a credit returning time, wherein the credit customer name is a biopharmaceutical company, the credit time is 2021, 5, 2, 10, 00, and the credit returning time is 2021, 6, 5, 08, 00.
The financial credit module is used for marking whether the customer allows credit according to logistics distribution records, and specifically comprises the following steps:
step one: obtaining all logistics distribution records of the receiving clients one year before the current time of the system, sequencing distribution starting time and distribution ending time in all logistics distribution records of the same receiving clients one year before the current time of the system according to time sequence, and sequencing two adjacent logistics distribution recordsCalculating the time difference between the delivery end time and the delivery start time of the same delivery clients to obtain the delivery demand interval Rs of the same delivery clients, wherein the delivery demand interval is obtained by the following steps: the delivery end time of the adjacent and time-preceding identical receiving customer is marked as Pt, the delivery start time of the adjacent and time-preceding identical receiving customer is marked as Ps, the delivery end time of the adjacent and time-following identical receiving customer is marked as Zt, the delivery start time of the adjacent and time-following identical receiving customer is marked as Zs, and the formula is utilizedAnd obtaining a distribution demand interval Rs of the same receiving clients, wherein a1 and a2 are uniformly preset with a proportionality coefficient, the value of a1 is 1.05, and the value of a2 is 1.07. Summing the distribution demand intervals of the same receiving clients and taking an average value to obtain the distribution demand average interval Tg of the same receiving clients;
step two: obtaining the total number Ek of logistics distribution records of a year before the current time of the system, and obtaining the total number Hw of logistics distribution records of the same receiving clients of a year before the current time of the system, wherein the total number of logistics distribution records of the previous year is 8000, and the logistics distribution records of the agricultural manufacturing company is 12;
step three: summing the distribution benefits of all logistics distribution records of the same receiving clients one year before the current time of the system, and taking an average value to obtain average distribution benefits Mn of the same receiving clients;
step four: calculating the time difference between the delivery end time and the delivery start time of each logistics delivery record to obtain delivery time, calculating the difference between the ideal time and the satisfied time to obtain the satisfied time difference L i, wherein each delivery time corresponds to the ideal time of one customer;
setting the satisfying moveout coefficient to Uz, z=1, 2,3, … z; u1< U2< U3< … < Uz, each satisfying time difference coefficient is set to correspond to a range satisfying time difference, wherein the range satisfying time difference comprises (0, L1], (L1, L2), …, (L i-1, L i), and when L i epsilon (0, L1), the corresponding satisfying time difference coefficient takes a value of U1;
using the formulaThe method comprises the steps of obtaining full difference values Wj of the same receiving clients, wherein i=1, 2, … … and n are the total times of the distribution time length marked as the satisfying time length, sequencing distribution starting moments corresponding to all the satisfying time lengths according to time sequence, calculating time difference values of distribution starting moments corresponding to two adjacent satisfying time lengths, obtaining a satisfying interval, summing all the satisfying intervals, averaging, and obtaining a satisfying average interval Bc; acquiring the total times Vs of the same receiving clients in one year before the current time of the system and meeting the time length, and utilizing a formulaObtaining a logistics meeting value Qe of the same receiving client, wherein b1, b2 and b3 are all preset proportion coefficients, the value of b1 is 0.83, the value of b2 is 0.67, and the value of b3 is 0.54;
step five: when the delivery time length is longer than the ideal time length, marking the delivery time length as disappointing time length, if the ideal time length of a client is 48 hours, when the delivery time length is 50 hours, marking the delivery time length as disappointing time length, and performing difference value calculation on the disappointing time length and the ideal time length to obtain disappointing time difference Pj;
setting disappointing time difference coefficients as Gx, x=1, 2,3 and … x; setting a disappointing time difference range corresponding to each disappointing time difference coefficient according to G1< G2< G3< … < Gx, wherein the disappointing time difference range comprises (0, P1), (P1, P2, …, (Pj-1, pj), and when Pj epsilon (0, P1), the corresponding disappointing time difference coefficient takes a value of G1;
using the formulaObtaining disagreement values I s of the same receiving clients, wherein j=1, 2, … …, n and n are total times of the distribution time periods marked as disagreement time periods, sequencing distribution starting moments corresponding to all disagreement time periods according to time sequence, calculating time difference values of distribution starting moments corresponding to two adjacent disagreement time periods, obtaining disagreement intervals, carrying out summation treatment on all disagreement intervals, taking an average value, and obtaining disagreement average intervals Kn; acquiring total times Ag of disappointing duration of same receiving clients one year before current time of system, and utilizing a formulaObtaining a logistics disappointment value By of the same receiving client, wherein c1, c2 and c3 are all preset proportionality coefficients, the value of c1 is 0.81, the value of c2 is 0.69 and the value of c3 is 0.51;
step six: obtaining the delivery start time of the first logistics delivery record of a receiving client (the logistics delivery record one year before the current time of the system is calculated, namely the first logistics delivery record in the history logistics delivery record), and calculating the time difference between the current time of the system and the delivery start time of the first logistics delivery record to obtain the cooperation duration Fa;
step seven: using the formulaObtaining a financial pad value Me of a receiving client, wherein d1, d2, d3, d4, d5, d6 and d7 are all preset proportion coefficients, d1 is 0.39, d2 is 0.63, d3 is 0.21, d4 is 0.28, d5 is 0.89, d6 is 0.91 and d7 is 1.01, the financial pad value threshold value is Ue, the receiving client is marked as a reasonable charge client when the financial pad value Me of the receiving client is more than or equal to the financial pad value threshold Ue, the receiving client is marked as a reasonable charge client when the financial pad value Me of the receiving client is less than the financial pad value threshold Ue, and the reasonable charge client is marked as a reasonable charge client when the reasonable charge client is chargedAnd the distribution income corresponding to the customer is added into the credit of the reasonable credit customer. The financial pad resource value threshold value is 12, when the financial pad resource value Me of an m catering company is 12.8, the m catering company is marked as a reasonable credit client, when the financial pad resource value Me of an n aquatic product company is 11, the n aquatic product company is marked as a reasonable credit client, when the m catering company credits, the distribution income corresponding to the n aquatic product company is fed into the credit money of the reasonable credit client, the credit closed loop of the whole logistics industry chain is realized, a financial credit module is arranged, different clients are reasonably comprehensively analyzed according to logistics distribution records, the different clients are distinguished into the reasonable credit client and the reasonable credit client, the credit closed loop of the whole logistics industry chain is realized, and the financial supplementation of the whole logistics industry chain by external finance is reduced while the financial management of the logistics industry chain is facilitated.
Example 2
Referring to fig. 2, on the basis of embodiment 1, the financial management system based on the logistics industry chain further includes a credit judgment module, wherein the credit judgment module is configured to judge whether the reasonable credit customer allows to reserve the credit qualification, specifically:
step one: obtaining all the credit records of the same reasonable credit client one year before the current time of the system, and calculating the time difference between the account returning time and the credit time of the same credit record to obtain the credit duration;
step two: setting a pre-return time length corresponding to each charge time length, comparing the charge time length with the pre-return time length, marking the charge time length as a financial vacancy time length when the charge time length is longer than the pre-return time length, marking the charge time length as 240 hours when the charge time length is smaller than or equal to the pre-return time length, marking the charge time length as a financial vacancy time length when the charge time length is 300 hours, performing difference calculation on the financial vacancy time length and the pre-return time length to obtain a financial vacancy time difference, and performing summation treatment on the financial vacancy time difference of the same reasonable charge customer to obtain a financial vacancy total time Gq; ordering the charge moments corresponding to the financial vacancy duration according to the time sequence, calculating the time difference between the two adjacent charge moments after ordering to obtain the financial vacancy charge interval,summing the space charge intervals of the same reasonable charge clients to obtain a financial space charge total interval Mz, and utilizing a formulaAcquiring a financial air density value I c of a reasonable charge customer, wherein e1 and e2 are preset proportionality coefficients, the value of e1 is 0.94, and the value of e2 is 0.92;
step three: and setting the financial air density value threshold as D i, and canceling the credit qualification of the reasonable credit client when the financial air density value I c of the reasonable credit client is larger than or equal to the financial air density value threshold D i. And when the financial density value Ic of the z environmental protection material manufacturing company is 25, canceling the credit qualification of the z environmental protection material manufacturing company, setting a credit judgment module, judging whether the credit record of a reasonable credit client allows continuous credit or not according to the credit record of the reasonable credit client, and avoiding the situation of financial shortage of the whole logistics industry chain caused by the credit of the reasonable credit client.
Working principle:
step one: collecting logistics distribution records and credit records, and sending the logistics distribution records and the credit records to a server for storage;
step two: marking different clients as reasonable credit clients and reasonable compensation clients according to the logistics distribution records, and supplementing distribution benefits corresponding to the reasonable compensation clients into credit accounts of the reasonable credit clients when the reasonable credit clients credit;
step three: it is determined whether the reasonable credit customer is permitted to reserve credit, and the credit of the reasonable credit customer is disqualified when the financial density value I c of the reasonable credit customer is greater than or equal to the financial density value threshold D i.
The above description is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above examples, and all technical solutions belonging to the concept of the present invention belong to the protection scope of the present invention. It should be noted that modifications and adaptations to those skilled in the art without departing from the principles of the present invention are intended to be considered as protecting the scope of the present template.
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 (1)
1. The financial management method based on the logistics industry chain is characterized by comprising the following steps of:
step one: collecting logistics distribution records and credit records, and sending the logistics distribution records and the credit records to a server for storage;
step two: marking different clients as reasonable credit clients and reasonable compensation clients according to the logistics distribution records, and supplementing distribution benefits corresponding to the reasonable compensation clients into credit accounts of the reasonable credit clients when the reasonable credit clients credit;
step three: judging whether the reasonable credit client allows the credit qualification to be reserved or not, and canceling the credit qualification of the reasonable credit client when the financial empty density value Ic of the reasonable credit client is larger than or equal to the financial empty density value threshold Di;
the financial management system based on the logistics industry chain comprises an information acquisition module, a financial credit module and a credit judgment module;
the information acquisition module is used for acquiring logistics distribution records and credit records, and sending the logistics distribution records and the credit records to the server for storage;
the financial credit module is used for marking whether a customer allows credit according to logistics distribution records, and specifically comprises the following steps:
obtaining all logistics distribution records of the same receiving clients one year before the current time of the system, sequencing distribution starting time and distribution ending time in all logistics distribution records of the same receiving clients one year before the current time of the system according to time sequence, calculating time difference values between distribution ending time and distribution starting time of two adjacent same receiving clients to obtain distribution demand intervals Rs of the same receiving clients, summing the distribution demand intervals of the same receiving clients and obtaining an average value to obtain distribution demand average intervals Tg of the same receiving clients; obtaining the total number Ek of logistics distribution records of a year before the current time of the system, and obtaining the total number Hw of logistics distribution records of the same receiving clients of a year before the current time of the system; summing the distribution benefits of all logistics distribution records of the same receiving clients one year before the current time of the system, and taking an average value to obtain average distribution benefits Mn of the same receiving clients;
calculating a time difference between the delivery end time and the delivery start time of each logistics delivery record to obtain delivery time, wherein each delivery time corresponds to an ideal time of one customer and is compared with the ideal time, and when the delivery time is smaller than the ideal time, the delivery time is marked as a meeting time to obtain a logistics meeting value Qe of the same delivery customer; when the delivery time length is longer than the ideal time length, marking the delivery time length as disappointing time length, and obtaining a logistics disappointing value By of the same receiving client;
obtaining the delivery starting time of the first logistics delivery record of the receiving client, and calculating the time difference between the current time of the system and the delivery starting time of the first logistics delivery record to obtain the cooperation duration Fa; using the formulaObtaining a financial pad value Me of a receiving client, wherein d1, d2, d3, d4, d5, d6 and d7 are all preset proportion coefficients, setting a financial pad value threshold value as Ue, marking the receiving client as a reasonable charge client when the financial pad value Me of the receiving client is larger than or equal to the financial pad value threshold value Ue, marking the receiving client as a reasonable charge client when the financial pad value Me of the receiving client is smaller than the financial pad value threshold value Ue, and supplementing distribution benefits corresponding to the reasonable charge client into charge money of the reasonable charge client when the charge client is charged;
the credit judgment module is used for judging whether a reasonable credit customer allows the credit qualification to be reserved or not, and specifically comprises the following steps:
obtaining all the credit records of the same reasonable credit client one year before the current time of the system, and calculating the time difference between the account returning time and the credit time of the same credit record to obtain the credit duration; setting a pre-return time length corresponding to each charge time length, comparing the charge time length with the pre-return time length, and marking the charge time length as a financial vacancy time length when the charge time length is longer than the pre-return time length to obtain a financial vacancy density value I c of a reasonable charge customer; setting a financial empty density value threshold as D i, and canceling the credit qualification of a reasonable credit client when the financial empty density value Ic of the reasonable credit client is more than or equal to a financial empty density value threshold Di;
the logistics distribution record comprises a customer name, distribution starting time, distribution ending time and distribution income;
the credit records comprise a credit customer name, a credit time and a account returning time;
the distribution demand interval is obtained through the following steps: the delivery end time of the adjacent and time-preceding identical receiving customer is marked as Pt, the delivery start time of the adjacent and time-preceding identical receiving customer is marked as Ps, the delivery end time of the adjacent and time-following identical receiving customer is marked as Zt, the delivery start time of the adjacent and time-following identical receiving customer is marked as Zs, and the formula is utilizedObtaining a distribution demand interval Rs of the same receiving clients, wherein a1 and a2 are uniformly preset with proportionality coefficients;
the logistics meeting value Qe of the same receiving client is obtained through the following steps: calculating the difference value between the ideal time length and the satisfied time length to obtain the satisfied time difference Li; setting the satisfying time difference coefficient as Uz, and utilizing a formulaAcquiring the full difference Wj of the same receiving clients, wherein i=1, 2, … … and n are the distribution time length marks as meeting the following conditionsThe total times of the time periods are obtained by sequencing the distribution starting time corresponding to all the satisfied time periods according to the time sequence, calculating the time difference value of the distribution starting time corresponding to the adjacent two satisfied time periods, summing all the satisfied time periods and taking the average value to obtain the satisfied average time interval Bc; acquiring the total times Vs of the same receiving clients in one year before the current time of the system, and utilizing the formula +.>Obtaining a logistics meeting value Qe of the same receiving client, wherein b1, b2 and b3 are preset proportionality coefficients;
the logistic disappointing value By of the same receiving client is obtained through the following steps: calculating the difference value between disappointing time length and ideal time length to obtain disappointing time difference Pj; setting disappointing time difference coefficient as Gx, and utilizing a formulaObtaining disagreement differences Is of the same receiving clients, wherein j=1, 2, … …, n and n are total times of the distribution time length marked as disagreement time length, sequencing distribution starting moments corresponding to all disagreement time lengths according to time sequence, calculating time differences of distribution starting moments corresponding to two adjacent disagreement time lengths, obtaining disagreement intervals, summing all disagreement intervals, averaging, and obtaining disagreement average intervals Kn; acquiring total times Ag of disappointing duration of same receiving clients one year before the current time of the system, and using a formula +.>Obtaining a logistics disappointment value By of the same receiving client, wherein c1, c2 and c3 are preset proportionality coefficients;
the financial density value Ic of the reasonable charge customer is obtained through the following steps: calculating the difference between the financial vacancy time and the pre-return time to obtain the financial vacancy time difference, and taking the financial of the same reasonable credit customerSumming the service vacancy time difference to obtain a financial vacancy total time Gq; sequencing the charge moments corresponding to the financial vacancy duration according to time sequence, calculating time difference values of two adjacent charge moments after sequencing to obtain a financial charge interval, summing the charge intervals of the same reasonable charge clients to obtain a financial charge total interval Mz, and using a formulaAnd obtaining a financial air density value Ic of a reasonable charge customer, wherein e1 and e2 are preset proportionality coefficients.
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| KR101330680B1 (en) * | 2012-05-09 | 2013-11-19 | 고대식 | Service system for managing charge account |
| CN105741089A (en) * | 2016-02-25 | 2016-07-06 | 北京几币几网络科技有限公司 | Method for lowering risk of open account transaction |
| CN113962788A (en) * | 2021-09-22 | 2022-01-21 | 辜宇航 | Logistics financial management method and system based on big data and computer storage medium |
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2023
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| KR101330680B1 (en) * | 2012-05-09 | 2013-11-19 | 고대식 | Service system for managing charge account |
| CN105741089A (en) * | 2016-02-25 | 2016-07-06 | 北京几币几网络科技有限公司 | Method for lowering risk of open account transaction |
| CN113962788A (en) * | 2021-09-22 | 2022-01-21 | 辜宇航 | Logistics financial management method and system based on big data and computer storage medium |
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