CN112131470A - Invoice three-bill matching method based on linear optimization - Google Patents
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Abstract
The invention relates to an invoice three-bill matching method based on linear optimization, which comprises the following steps of: 1) acquiring an invoice and a cargo list of a supplier to be matched, and acquiring corresponding matching attribute information; 2) preprocessing is carried out according to matching attributes of supplier invoices and warehoused goods respectively, the preprocessing is expressed in a form of a main key-map index table, and the attribute data type is converted into shaping; 3) matching through linear optimization according to the service type and the matching mode; 4) eliminating matched goods from the goods list to be matched according to the matching result; 5) and (5) repeating the steps 1) to 4) until all goods are matched, generating a settlement list and completing matching. Compared with the prior art, the method has the advantages of automatic matching, unified processing, reduction of manual errors and the like.
Description
Technical Field
The invention relates to the field of invoice information verification, in particular to an invoice three-bill matching method based on linear optimization.
Background
In the process of trading of the steel and iron e-commerce, a purchasing settlement link is indispensable, when a supplier of a first party issues an invoice to a second party, under a general condition, the supplier of the first party issues a plurality of details of steel and iron goods on the same invoice, and a purchasing settlement sheet settles on the details of the specific steel and iron goods, so that the invoice, the steel and iron goods and a contract need to be matched, at present, the matching work needs manual processing, the supplier of the first party is divided into a steel mill and a scattered household, the invoicing modes of the suppliers of the first party are different, the workload is large through the manual processing, and the problems of poor manual processing effect, easy error, incapability of realizing flow, automation, intellectualization and the like exist.
After the current purchase settlement completely depends on the manual offline Excel matching without errors, the purchase settlement is completed in a system function import mode, but the following problems exist:
1. the workload of Excel matching under the artificial line is huge.
2. Offline matching is prone to errors.
3. The intellectualization and automation can not be achieved.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide a linear optimization-based invoice triplet matching method.
The purpose of the invention can be realized by the following technical scheme:
a linear optimization based invoice three-bill matching method comprises the following steps:
1) acquiring an invoice and a cargo list of a supplier to be matched, and acquiring corresponding matching attribute information;
2) preprocessing is carried out according to matching attributes of supplier invoices and warehoused goods respectively, the preprocessing is expressed in a form of a main key-map index table, and the attribute data type is converted into shaping;
3) matching through linear optimization according to the service type and the matching mode;
4) eliminating matched goods from the goods list to be matched according to the matching result;
5) and (5) repeating the steps 1) to 4) until all goods are matched, generating a settlement list and completing matching.
In the step 1), the matching attributes of the invoice comprise invoice ID, invoice number, invoice code, variety, brand, specification, weight, unit price and amount.
In the step 1), the matching attributes of the goods list comprise contract numbers, contract sub-item numbers, resource IDs, varieties, brands, specifications, weight, unit price, amount and warehousing time.
In the step 2), the invoice uses the invoice ID as a main key to perform map indexing, and the goods uses the resource ID as a main key to perform map indexing.
In the step 3), the service types include a warehouse slip transaction and a general purchase and distribution, the warehouse slip transaction includes a scattered supplier and a steel mill supplier, and each service type corresponds to a corresponding matching mode.
In the step 3), the linear matching mode of the scattered supplier is specifically as follows:
the specification attributes are completely consistent, and the total error of the total amount of the goods corresponding to the invoice is within 0.06 yuan;
the linear matching mode of the steel mill supplier is specifically as follows:
the specification attribute is completely consistent with the total weight of the goods corresponding to the invoice, and the error of the total amount of the goods corresponding to the invoice is within 0.06 yuan.
The linear matching mode of the supplier under the general distribution type is specifically as follows:
the variety and the mark attribute are completely consistent with the total weight of the goods corresponding to the ticket.
The specific expression of the linear matching pattern of the steel mill supplier is as follows:
wherein m isjIs the weight of the jth cargo item in the cargo list, njThe matching result is taken as 0 or 1, the mismatching is shown when the value is taken as 0, the matching is shown when the value is taken as 1, N is the total number of the categories of the goods, q is the total number of the categories of the goodsjThe sum of the j-th goods variety in the goods list, M is the corresponding total weight in the invoice, and Q is the corresponding total sum in the invoice.
In the linear matching process, the closer the squared difference between the warehousing time and the current time is, the closer and continuous the warehousing time is, and the higher the priority in the matching sequence is.
In the linear matching process, the contract sub-item number of each cargo is obtained according to the contract number and the contract sub-item number, and the lower the contract sub-item number is, the higher the priority in the matching sequence is.
In the linear matching process, only one priority matching rule exists, namely, the warehousing time is prior or the number of contract sub-items is prior.
Compared with the prior art, the invention has the following advantages:
firstly, the invention replaces the matching work of manual Excel, a receipt center receives a large number of invoices of a supplier of the first party every month, the conventional operation is to manually export a goods list and an invoice list, then combine the goods list and the invoice list into one Excel, and manually match the Excel.
And secondly, various types of supplier invoices can be processed uniformly through different model algorithms, rules of scattered households and steel mills need to be considered in manual matching, and the time for receiving new staff and retraining is saved after staff changes.
And thirdly, manual errors are reduced, the risk of unexpected errors is overcome by manual matching, and settlement data can be confused if the matching is wrong.
Drawings
FIG. 1 is a flow chart of the method of the present invention.
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments.
As shown in fig. 1, the invention provides a linear-optimization-based invoice three-bill matching method, which specifically comprises the following steps:
1. acquiring invoice detail and cargo detail information;
2. constructing a linear programming model, and performing linear programming calculation;
3. returning a matching settlement result of the invoice detail and the goods detail;
4. and the settlement program generates a settlement list according to the matching result.
The linear programming explanation and the principle adopted by the invention are as follows:
linear programming is one of the important branches of operational research, is a subject for solving the optimal solution under certain constraint conditions, and solves various problems in actual life by applying mathematical means.
The (mathematical) standard form of a general linear programming problem is:
examples of rules for invoice and goods matching are as follows:
the invoice specification is shown in table 1 and includes four attributes of invoice ID, specification, weight and amount.
Table 1 invoice Specification
| Invoice ID | Specification of | Weight (D) | Amount of money |
| F01 | 0.70*1325.00*0 | 38.945 | 166295.15 |
| F02 | 0.99*919*0 | 8.01 | 32480.55 |
| F03 | 0.98*930*0 | 16.5 | 66907.5 |
The goods list is shown in table 2 and includes nine attributes of resource number, variety, brand, specification, weight, amount, contract number, contract sub-item number and contract effective time.
TABLE 2 detailed cargo list
The matching results are as follows:
f01 matches G01, G02, G03, G04;
f02 matches G05;
f03 matches G6, G7.
The invention also provides two different matching modes, as shown in table 3:
TABLE 3 two different matching modes
Example (b):
the matching method in this example comprises the following steps:
1. selecting invoices and goods
In the settlement system, all invoices and warehousing goods information in the range of a supplier are screened out through the name of the supplier, and the invoice attributes comprise: invoice ID, invoice number, invoice code, variety, brand, specification, weight, unit price and amount, the goods attributes include: contract number, contract sub-item number, resource ID, variety, brand, specification, weight, unit price, amount and warehousing time;
11) the invoice id is used as a map main key, the invoice number and the invoice code are used as identification embodiment of the invoice, the variety, the brand and the specification are used as the basis conditions matched with goods, for example, the general purchase distribution business needs the variety + the brand + the weight of the invoice to be consistent with the variety + the brand + the weight of the goods, and the unit price is used as a reserved field;
22) the resource ID of the goods is used as a map main key, the contract number, the contract sub-item number and the warehousing time are used as a priority principle, and the variety, the brand, the specification and the weight are used as the basis conditions matched with the invoice;
2. data preprocessing, wherein the linear model processes received data:
21) performing map indexing on the invoice data by taking the invoice id as a main key, and performing map indexing on the goods data by taking the resource number as a main key;
22) the warehousing time of the goods under each contract number is subtracted from the current time to calculate the variance, and preparation is made for the priority matching of the closer subsequent time, specifically:
variance is a measure of the degree of dispersion in a random variable or set of data, and is often used in statistics.
For example: the time of day 2020-08-20.
The corresponding cargo warehousing time under the contract T01 is respectively as follows:
the warehousing time of the goods A is 2020-08-01, and the distance from the time days of the day is 19;
the warehousing time of the goods B is 2020-08-05, which is 15 days away from the time of the day;
the warehousing time 2020-08-09 of the goods C is 11 days away from the time of the day;
the warehousing time 2020-08-12 of the goods D is 8 days away from the time of the day;
the warehousing time 2020-08-16 of the goods E is 4 days away from the time of the day;
the average is: (19+15+11+8+4)/5 ═ 11;
the variance is: [(19-11)2+(15-11)2+(11-11)2+(8-11)2+(4-11)2]/5＝27；
Then the priority of cargo a, B, C, D, E is 27.
The smaller the variance is, the smaller the fluctuation of the data is, the closer the warehousing time is to the continuity, and the matching is preferred.
23) Calculating the number of contract sub-items of each cargo according to the contract number and the contract sub-item number, wherein for the purpose of the less number of the following contract sub-items, the lower the number of the following contract sub-items is, the better the matching is, for example:
the contract sub-item number corresponding to the goods A is 8, and the priority is 8;
the contract sub-item number corresponding to the goods B is 2, and the priority is 2;
if the number of the contract sub-items corresponding to the goods C is 5, the priority is 5;
it should be noted here that there is only one type of priority matching rule, or the closer the time is to the priority, the lower the number of contract sub-items is, the better the priority is set, and then the goods are sorted according to the priority in the list map of the goods, and the lower the priority is, the first the priority is, the matching is performed.
24) The floating point type data of the cargo weight 1000 and the cargo amount 100 in the invoice are changed into integer type;
3. and model matching, namely trading and general purchasing distribution according to the sent business types, and matching corresponding calculation models according to the steel mill mode and the scattered household mode in the matching mode.
4. Linear calculation
| Goods A | Goods B | Goods C | Goods D | Total amount of invoice | |
| Weight (D) | 1 | 3 | 1 | 4 | 5 |
| Amount of money | 12 | 3 | 5 | 10 | 20 |
| Number of | n1 | n2 | n3 | n4 |
The model formula is as follows: 1 × n1+3 × n2+1 × n3+4 × n4 ═ 5 (weight match)
19.94 + 12 × n1+3 × n2+5 × n3+10 × n4 [ -20.06 (allowing a tail difference of 6 cents)
0< ═ n1, n2, n3, n4< ═ 1(0 for mismatch, 1 for match)
Solving the result: n1 ═ 1, n2 ═ 1, n3 ═ 1, and n4 ═ 0;
5. processing results, and deleting the goods list to be matched if the matching is successful until all the lists are matched;
6. and generating a settlement list, wherein the settlement system receives the matching result and then generates the settlement list according to the goods and invoice information, and the whole process is finished.
Claims (10)
1. The invoices three-list matching method based on the linear optimization is characterized by comprising the following steps:
1) acquiring an invoice and a cargo list of a supplier to be matched, and acquiring corresponding matching attribute information;
2) preprocessing is carried out according to matching attributes of supplier invoices and warehoused goods respectively, the preprocessing is expressed in a form of a main key-map index table, and the attribute data type is converted into shaping;
3) matching through linear optimization according to the service type and the matching mode;
4) eliminating matched goods from the goods list to be matched according to the matching result;
5) and (5) repeating the steps 1) to 4) until all goods are matched, generating a settlement list and completing matching.
2. The invoice three-bill matching method based on linear optimization as claimed in claim 1, wherein in the step 1), the matching attributes of the invoice comprise invoice ID, invoice number, invoice code, variety, brand, specification, weight, unit price and amount.
3. The invoicing three-order matching method based on linear optimization as claimed in claim 2, wherein in the step 1), the matching attributes of the goods list comprise contract number, contract sub-item number, resource ID, variety, brand, specification, weight, unit price, amount and warehousing time.
4. The invoice triplet matching method based on linear optimization as claimed in claim 3, wherein in the step 2), the invoice is map-indexed by using the invoice ID as a main key, and the goods are map-indexed by using the resource ID as a main key.
5. The invoice three-bill matching method based on linear optimization as claimed in claim 4, wherein in the step 3), the business types comprise a warehouse order transaction and a general purchase distribution, the warehouse order transaction comprises a scattered supplier and a steel mill supplier, and each business type corresponds to a corresponding matching mode.
6. The invoice triplet matching method based on linear optimization as claimed in claim 5, characterized in that, in the step 3), the linear matching mode of the scattered supplier is specifically:
the specification attributes are completely consistent, and the total error of the total amount of the goods corresponding to the invoice is within 0.06 yuan;
the linear matching mode of the steel mill supplier is specifically as follows:
the specification attribute is completely consistent with the total weight of the goods corresponding to the invoice, and the error of the total amount of the goods corresponding to the invoice is within 0.06 yuan.
The linear matching mode of the supplier under the general distribution type is specifically as follows:
the variety and the mark attribute are completely consistent with the total weight of the goods corresponding to the ticket.
7. The invoice triplet matching method based on linear optimization as claimed in claim 6, characterized in that the concrete expression of the linear matching pattern of the steel mill supplier is as follows:
wherein m isjIs the weight of the jth cargo item in the cargo list, njThe value is 0 or 1 for the matching result, and when the value is 0, the mismatch is representedWhen the value is 1, the matching is shown, N is the total number of the categories of goods, and q is the total number of the categories of the goodsjThe sum of the j-th goods variety in the goods list, M is the corresponding total weight in the invoice, and Q is the corresponding total sum in the invoice.
8. The invoice triplet matching method based on linear optimization as claimed in claim 3, characterized in that in the linear matching process, the closer the squared difference between the warehousing time and the current time is, the closer and continuous the warehousing time is, and the higher the priority in the matching sequence is.
9. The invoice triplet matching method based on linear optimization as claimed in claim 8, wherein in the linear matching process, the number of contract sub-items of each goods is obtained according to the contract number and the contract sub-item number, and the lower the number of contract sub-items, the higher the priority in the matching sequence.
10. The invoice three-bill matching method based on linear optimization as claimed in claim 9, wherein in the linear matching process, the priority matching rule only has one, i.e. the warehousing time is first or the number of contract sub-items is first.
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