CN117236667B - Logistics scheduling method and system based on inventory data sharing - Google Patents
Logistics scheduling method and system based on inventory data sharing Download PDFInfo
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Abstract
The invention discloses a logistics scheduling method and a logistics scheduling system based on inventory data sharing, which belong to the field of data processing systems specially suitable for management purposes.
Description
Technical Field
The invention belongs to the technical field of data processing systems specially suitable for management purposes, and particularly relates to a logistics scheduling method and system based on inventory data sharing.
Background
In the prior art, when the problem is solved, a mode of calling from another stock area is generally adopted, so that the dispatching time is definitely prolonged, and the quick response capability of material dispatching in disasters or threat periods is seriously influenced;
a cargo scheduling method and apparatus and a computer readable storage medium are disclosed in, for example, chinese patent application publication No. CN110276571a, which relates to the technical field of logistics. The cargo scheduling method comprises the following steps: calculating an average demand of the stock quantity unit according to the historical data; determining the shortest stock time and the target stock time of the stock quantity unit according to the supply time information of the supplier; determining the minimum stock quantity and the target stock quantity according to the average demand, the shortest stock time and the target stock time; and in response to the existing number of stock units being less than the minimum stock number, creating an allocation order and sending the allocation order to the spare part warehouse, wherein the allocation number of stock units in the allocation order is equal to the difference between the target stock number and the available stock number. Therefore, the recommending time and the allocating quantity of the spare part warehouse can be more accurate, and the production efficiency of the warehouse is improved;
Meanwhile, for example, in chinese patent with application publication number CN115689186a, an industrial internet-based logistics allocation system and method are disclosed, which relates to the technical field of industrial internet, and the proposal is now provided that the system comprises a material arrangement unit, an inventory perfecting unit, a dispatching management unit, a data visualization unit, a logistics allocation unit, a transportation management unit, a vehicle monitoring unit, a delivery processing unit, a shipping settlement unit and a settlement management unit, wherein the dispatching management unit is used for logistics plan reporting, process monitoring, statistical analysis, account management, information transmission, data inquiry, export printing and material allocation processing, and the logistics allocation unit is used for sending logistics demands to suppliers by enterprise clients to carry out logistics dispatching application; the invention can not only rapidly screen and collect the scheduling orders and timely send out scheduling instructions for processing, but also monitor and guarantee the whole-course monitoring processing of logistics and vehicles for the transportation vehicles, thereby effectively improving the logistics allocation efficiency and effect of the industrial Internet.
The problems proposed in the background art exist in the above patents: in the prior art, when the problem is solved, a mode of calling from another stock area is generally adopted, so that the dispatching time is definitely prolonged, the quick response capability of material dispatching in disasters or threat periods is seriously influenced, and in order to solve the problems, the application designs a logistics dispatching method and system based on stock data sharing.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a logistics scheduling method and a system based on stock data sharing, the invention judges whether the storage capacity of a required commodity meets the logistics scheduling information of the required commodity according to the statistical data and the historical return data of stock materials, if so, issues a meeting scheduling instruction to a client, if not, extracts the storage capacity of the required commodity and the logistics scheduling information of the required commodity, subtracts the storage capacity of the required commodity from the commodity required quantity in the logistics scheduling information of the required commodity to obtain a required quantity phase difference value, obtains the logistics scheduling information of the required commodity and the required quantity phase difference value, obtains a selection set of similar commodities according to the functional characteristics of the required commodity, substitutes the selected set of the similar commodities into a functional coefficient calculation strategy to calculate the functional coefficient of the similar commodity, compares the functional coefficient with a set functional coefficient threshold, removing similar commodities with the function coefficients lower than the set function coefficient threshold value from the selection set, substituting the function coefficients of the residual similar commodities removed from the selection set into a similar commodity demand quantity calculation strategy to calculate the demand quantity of the similar commodities required when the demand quantity phase difference value is met, substituting the demand quantity of the similar commodities and the sales unit price and the transportation unit price of the similar commodities into a similar commodity cost calculation formula, calculating the cost sum of the similar commodities, adding the cost sum of the similar commodities and the cost sum of the required commodities to obtain the cost sum of logistics dispatching, selecting a similar commodity with the smallest cost sum of the logistics dispatching and a dispatching scheme of the required commodities to transmit to a client, requesting the client to confirm, providing an optimal similar material dispatching scheme on the premise that the stock materials are insufficient to meet the dispatching demand, improving the quick response capability of material dispatching, the situation of scheduling failure caused by insufficient preparation of one material is avoided.
In order to achieve the above purpose, the present invention provides the following technical solutions:
a logistics scheduling method based on inventory data sharing comprises the following specific steps:
s1, a client issues logistics scheduling information of goods to be required through a client, and an inventory manager counts inventory materials according to the logistics scheduling information through the received logistics scheduling information;
s2, judging whether the storage quantity of the required commodity meets the logistics scheduling information of the required commodity according to the statistical data and the historical return data of the stock materials, if so, issuing a meeting scheduling instruction to the client, and if not, performing S3;
s3, extracting storage capacity of the required commodity and logistics scheduling information of the required commodity, and subtracting the storage capacity of the required commodity from the required commodity in the logistics scheduling information of the required commodity to obtain a required quantity phase difference value;
s4, acquiring logistics scheduling information and a required quantity phase difference value of the required commodity, acquiring a selection set of similar commodities according to the functional characteristics of the required commodity, substituting the selection set into a functional coefficient calculation strategy to calculate the functional coefficient of the similar commodity, comparing the functional coefficient with a set functional coefficient threshold value, and removing the similar commodity with the functional coefficient lower than the set functional coefficient threshold value from the selection set;
S5, substituting the functional coefficients of the remaining similar commodities removed from the selection set into a similar commodity demand quantity calculation strategy to calculate the demand quantity of the similar commodities required when the demand quantity phase difference value is met;
s6, substituting the required quantity of the similar commodity and the sales unit price and the transportation unit price of the similar commodity into a similar commodity cost calculation formula to calculate the sum of the costs of the similar commodity;
and S7, adding the sum of the costs of similar commodities and the sum of the costs of required commodities to obtain the sum of the costs of logistics scheduling, selecting the similar commodities with the smallest sum of the costs of the logistics scheduling and a scheduling scheme of the required commodities, transmitting the similar commodities and the scheduling scheme of the required commodities to a client, and requesting the client to confirm.
Specifically, the step S1 includes the following specific steps:
s11, a customer acquires commodities needing to be purchased according to sales requirements, and issues logistics scheduling information of the commodities to be purchased to an inventory management end through a client, wherein the logistics scheduling information comprises specifications of the commodities to be purchased, required quantity and main purposes, for example, 500N 95 masks are used for epidemic prevention, the specifications are N95 masks, the quantity is 500, and the main purposes are human mouth and nose 95% bacteria protection;
and S12, the inventory management side receives the logistics scheduling information sent by the client through the inventory management side, counts inventory materials according to the logistics scheduling information, and acquires inventory data and preset data of the required commodities.
Specifically, the following specific contents are included in S2:
s21, extracting the acquired preset data of the commodity required, extracting the historical return data of the preset main body corresponding to the preset data, and calculating the historical return frequency of the preset main body corresponding to the ith preset data, wherein the calculation formula of the historical return frequency of the preset main body corresponding to the ith preset data is as follows:
wherein->Historical predetermined total number of predetermined subjects for the ith predetermined data, +.>A history preset total number of back changes corresponding to the preset main body for the ith preset data;
s22, extracting historical stock withdrawal frequency of a preset main body corresponding to preset data and substituting stock data of the required commodity into a storage quantity calculation formula of the required commodity to calculate the storage quantity of the required commodity, wherein the storage quantity calculation formula of the required commodity is as follows:
wherein->For stock data of required goods +.>Predetermined data for an i-th predetermined subject, i being any one of 1 to n, n being the total number of predetermined subjects;
s23, judging whether the storage capacity of the obtained required commodity meets the logistics scheduling information of the required commodity, if yes, issuing a meeting scheduling instruction to the client, and if not, performing S3.
Specifically, the specific steps of the function coefficient calculation strategy in S4 are as follows:
s41, acquiring logistics scheduling information and a required quantity phase difference value of the required commodity, acquiring functional characteristics of the required commodity, acquiring similar commodities which are the same as the main purpose of the required commodity according to the main purpose in the functional characteristics of the required commodity, and carrying out statistics on the similar commodities to form a selection set for transmission;
s42, extracting the application sequences in the function sets of similar commodities and extracting the application sequences in the function sets of required commodities, wherein the application sequences are respectively expressed as follows:
and->Wherein->The superscript z of (a) is the functional set of the similar commodity, the subscript j is the j-th use, and the whole meaning is the j-th use in the functional set of the similar commodity, < ->The superscript t of (2) is the function set of the commodity, the subscript c is the c-th application, and the whole meaning is the c-th application in the function set of the commodity;
s43, extracting a use sequence in a function set of the similar commodity, a use sequence in a function set of the required commodity, a use sequence specific value in a function set of the similar commodity and a use sequence specific value in a function set of the required commodity, substituting the use sequence specific value into a function coefficient calculation formula to calculate a function coefficient of the similar commodity, wherein the function coefficient calculation formula of the similar commodity is as follows:
Wherein M () is the number of elements in brackets, < ->For the intersection of two sets, +.>For the intersection of two sets, +.>For the specific value of the c-th use in the functional set of the required commodity, < >>A specific value in the functional set of the similar commodity corresponding to the c-th use in the functional set of the required commodity, wherein, when +.>Directly taking 0->For the duty cycle of the c-th use, while +.>It should be noted here that +.>The values of (2) are as follows: counting 500 people average use times of the sequence requiring commodity use, calculating, dividing the people average use times of a certain commodity use sequence by the sum of the people average use times of the sequence requiring commodity use to obtain ∈ ->；
S44, comparing the function coefficient of the similar commodity with a set function coefficient threshold, removing the similar commodity with the function coefficient lower than the set function coefficient threshold from the selection set, wherein the function coefficient threshold is set as the function coefficient threshold by extracting the similar commodity data of the required commodity, substituting the similar commodity data into a formula to calculate the function coefficient of the similar commodity, and selecting 500 field experts to select the similar commodity which cannot be selected in the selection set to obtain the average function coefficient.
Specifically, the specific content of the similar commodity demand calculation strategy in S5 is as follows:
s51, extracting the functional coefficients of the similar commodities which are left after being removed from the selection set, and simultaneously extracting the required quantity phase difference value calculated in the step S3；
S52, the obtained function coefficient and the required quantity phase difference value of the similar commodities remained after being removed from the selection setImporting the similarity commodity demand amount calculation formula to obtain a similarity quotientThe calculation formula of the product demand and the similar commodity demand is as follows:
。
specifically, the specific content of S6 is as follows:
extracting the demand of similar goods and the selling price of similar goodsTransport unit price->Substituting the cost sum of the similar commodities into a similar commodity cost calculation formula to calculate the cost sum of the similar commodities, wherein the similar commodity cost calculation formula is as follows:
。
the logistics scheduling system based on the inventory data sharing is realized based on the logistics scheduling method based on the inventory data sharing, and comprises a logistics scheduling issuing module, an inventory material counting module, a required commodity storage capacity judging module, a required quantity phase difference value calculating module, a function coefficient calculating module, a similar commodity required quantity calculating module, a similar commodity cost calculating module, a scheduling scheme transmitting module and a control module, wherein the control module is used for controlling the operation of the logistics scheduling issuing module, the inventory material counting module, the required commodity storage capacity judging module, the required quantity phase difference value calculating module, the function coefficient calculating module, the similar commodity required quantity calculating module, the similar commodity cost calculating module and the scheduling scheme transmitting module, the logistics scheduling issuing module is used for issuing logistics scheduling information of required commodities through a client, and the inventory material counting module is used for counting the inventory materials according to the received logistics scheduling information.
Specifically, the required commodity storage capacity judging module is used for judging whether the storage capacity of the required commodity meets the logistics scheduling information of the required commodity according to the statistical data and the historical return data of the stock materials, the required quantity phase difference value calculating module is used for extracting the storage capacity of the required commodity and the logistics scheduling information of the required commodity, the required quantity of the commodity in the logistics scheduling information of the required commodity is subtracted to obtain the required quantity phase difference value, the function coefficient calculating module is used for obtaining the logistics scheduling information of the required commodity and the required quantity phase difference value, obtaining a selection set of similar commodities according to the function characteristics of the required commodity, substituting the function coefficient into the function coefficient calculating strategy to calculate the function coefficient of the similar commodity, comparing the function coefficient with the set function coefficient threshold, removing the similar commodity with the function coefficient lower than the set function coefficient threshold from the selection set, and substituting the function coefficient of the rest similar commodities after being removed from the selection set into the similar commodity demand quantity phase difference calculating strategy to calculate the required quantity of the similar commodity required to meet the required quantity phase difference value.
Specifically, the similar commodity cost calculation module is used for substituting the required quantity of the similar commodity and the sales unit price and the transportation unit price of the similar commodity into a similar commodity cost calculation formula to calculate the cost sum of the similar commodity, the scheduling scheme transmission module is used for adding the cost sum of the similar commodity and the cost sum of the required commodity to obtain the cost sum of the logistics scheduling, selecting the similar commodity with the minimum cost sum of the logistics scheduling and the scheduling scheme of the required commodity to transmit to the client side, and requesting the client side to confirm.
An electronic device, comprising: a processor and a memory, wherein the memory stores a computer program for the processor to call;
the processor executes the logistics scheduling method based on inventory data sharing by calling the computer program stored in the memory.
A computer readable storage medium storing instructions that when executed on a computer cause the computer to perform a method of inventory data sharing based logistics scheduling as described above.
Compared with the prior art, the invention has the beneficial effects that:
the invention judges whether the storage quantity of the required commodity meets the logistics scheduling information of the required commodity according to the statistical data and the historical return data of the stock materials, if yes, issues a meeting scheduling instruction to a client, if no, extracts the storage quantity of the required commodity and the logistics scheduling information of the required commodity, subtracts the storage quantity of the required commodity from the required quantity of the commodity in the logistics scheduling information of the required commodity to obtain a required quantity phase difference value, obtains the logistics scheduling information of the required commodity and the required quantity phase difference value, obtains a selection set of similar commodities according to the functional characteristics of the required commodity, substitutes the selection set into a functional coefficient calculation strategy to calculate the functional coefficient of the similar commodity, compares the functional coefficient with a set functional coefficient threshold, removes the similar commodity with the functional coefficient lower than the set functional coefficient threshold from the selection set, substituting the function coefficients of the remaining similar commodities after removal from the selection set into a similar commodity demand quantity calculation strategy to calculate the demand quantity of the similar commodities required when the demand quantity phase difference value is met, substituting the demand quantity of the similar commodities, the sales unit price of the similar commodities and the transportation unit price of the similar commodities into a similar commodity cost calculation formula, calculating the cost sum of the similar commodities, adding the cost sum of the similar commodities and the cost sum of the required commodities to obtain the cost sum of logistics dispatching, selecting the similar commodities with the smallest cost sum of the logistics dispatching and a dispatching scheme of the required commodities to transmit to a client, requesting the client to confirm, providing an optimal similar material dispatching scheme on the premise that stock materials are insufficient to meet dispatching demands, improving the quick response capability of material dispatching, and avoiding the situation of dispatching failure caused by insufficient material preparation.
Drawings
FIG. 1 is a schematic flow chart of a logistics scheduling method based on inventory data sharing;
FIG. 2 is a schematic diagram of an overall framework of a logistics scheduling system based on inventory data sharing.
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.
Example 1
Referring to fig. 1, an embodiment of the present invention is provided: a logistics scheduling method based on inventory data sharing comprises the following specific steps:
s1, a client issues logistics scheduling information of goods to be required through a client, and an inventory manager counts inventory materials according to the logistics scheduling information through the received logistics scheduling information;
it should be noted that, S1 includes the following specific steps:
s11, a customer acquires commodities needing to be purchased according to sales requirements, and issues logistics scheduling information of the commodities to be purchased to an inventory management end through a client, wherein the logistics scheduling information comprises specifications of the commodities to be purchased, required quantity and main purposes, for example, 500N 95 masks are used for epidemic prevention, the specifications are N95 masks, the quantity is 500, and the main purposes are human mouth and nose 95% bacteria protection;
S12, the inventory management side receives logistics scheduling information sent by the client through the inventory management side, counts inventory materials according to the logistics scheduling information, and acquires inventory data and preset data of goods to be purchased;
here the step S1 is implemented by example code: # include < stdio h-
Structure for defining logistics scheduling information
typedef struct {
int itemId;// Commodity number
int quality;// quantity of required supplies
} LogisticsInfo;
Information structure for defining stock materials
typedef struct {
int itemId;// Commodity number
int stock;// inventory quantity
} StockInfo;
Declaration of the function
void receiveLogisticsInfo(LogisticsInfo *logisticsInfo);
void updateStockInfo(StockInfo *stockInfo, LogisticsInfo logisticsInfo);
void printStockInfo(StockInfo *stockInfo, int numStock);
int main() {
Initializing inventory material information
StockInfo stockInfo[100];
Flow schedule information for/(and/or initialization)
LogisticsInfo logisticsInfo;
Receiving logistics scheduling information issued by clients and carrying out inventory statistics
receiveLogisticsInfo(&logisticsInfo);
updateStockInfo(stockInfo, logisticsInfo);
Printing inventory material information
int numStock = sizeof(stockInfo) / sizeof(stockInfo[0]);
printStockInfo(stockInfo, numStock);
return 0;
}
Function implementation of/receive logistics scheduling information
void receiveLogisticsInfo(LogisticsInfo *logisticsInfo) {
printf ("please input commodity number of required materials:");
scanf("%d", &(logisticsInfo->itemId));
printf ("please input the amount of needed supplies:");
scanf("%d", &(logisticsInfo->quantity));
}
function implementation of updating inventory material information based on logistic scheduling information
void updateStockInfo(StockInfo *stockInfo, LogisticsInfo logisticsInfo) {
for(int i = 0; i < 100; i++) {
if(stockInfo[i].itemId == logisticsInfo.itemId) {
stockInfo[i].stock += logisticsInfo.quantity;
return;
}
}
If the commodity is not present in the stock material information, adding new stock material information
for(int i = 0; i < 100; i++) {
if(stockInfo[i].itemId == 0) {
stockInfo[i].itemId = logisticsInfo.itemId;
stockInfo[i].stock = logisticsInfo.quantity;
return;
}
}
printf ("inventory supplies information is full, no new inventory supplies information can be added");
}
Function implementation of// printing stock material information
void printStockInfo(StockInfo *stockInfo, int numStock) {
printf ("inventory supplies information: \n");
printf ("commodity number \t inventory quantity)
");
for(int i = 0; i < numStock; i++) {
if(stockInfo[i].itemId != 0) {
printf("%d\t\t%d
", stockInfo[i].itemId, stockInfo[i].stock);
}
}
}
S2, judging whether the storage quantity of the required commodity meets the logistics scheduling information of the required commodity according to the statistical data and the historical return data of the stock materials, if so, issuing a meeting scheduling instruction to the client, and if not, performing S3;
it should be noted that, S2 includes the following specific contents:
s21, extracting the acquired preset data of the commodity required, extracting the historical return data of the preset main body corresponding to the preset data, and calculating the historical return frequency of the preset main body corresponding to the ith preset data, wherein the calculation formula of the historical return frequency of the preset main body corresponding to the ith preset data is as follows:
wherein->Historical predetermined total number of predetermined subjects for the ith predetermined data, +.>A history preset total number of back changes corresponding to the preset main body for the ith preset data;
s22, extracting historical stock withdrawal frequency of a preset main body corresponding to preset data and substituting stock data of the required commodity into a storage quantity calculation formula of the required commodity to calculate the storage quantity of the required commodity, wherein the storage quantity calculation formula of the required commodity is as follows:
Wherein->For stock data of required goods +.>Predetermined data for an i-th predetermined subject, i being any one of 1 to n, n being the total number of predetermined subjects;
s23, judging whether the storage capacity of the obtained required commodity meets the logistics scheduling information of the required commodity, if yes, issuing a scheduling meeting instruction to the client, and if not, performing S3;
s3, extracting storage capacity of the required commodity and logistics scheduling information of the required commodity, and subtracting the storage capacity of the required commodity from the required commodity in the logistics scheduling information of the required commodity to obtain a required quantity phase difference value;
s4, acquiring logistics scheduling information and a required quantity phase difference value of the required commodity, acquiring a selection set of similar commodities according to the functional characteristics of the required commodity, substituting the selection set into a functional coefficient calculation strategy to calculate the functional coefficient of the similar commodity, comparing the functional coefficient with a set functional coefficient threshold value, and removing the similar commodity with the functional coefficient lower than the set functional coefficient threshold value from the selection set;
it should be noted that the specific steps of the function coefficient calculation strategy in S4 are as follows:
s41, acquiring logistics scheduling information and a required quantity phase difference value of the required commodity, acquiring functional characteristics of the required commodity, acquiring similar commodities which are the same as the main purpose of the required commodity according to the main purpose in the functional characteristics of the required commodity, and carrying out statistics on the similar commodities to form a selection set for transmission;
S42, extracting the application sequences in the function sets of similar commodities and extracting the application sequences in the function sets of required commodities, wherein the application sequences are respectively expressed as follows:
and->Wherein->The superscript z of (a) is the functional set of the similar commodity, the subscript j is the j-th use, and the whole meaning is the j-th use in the functional set of the similar commodity, < ->The superscript t of (2) is the function set of the commodity, the subscript c is the c-th application, and the whole meaning is the c-th application in the function set of the commodity;
s43, extracting a use sequence in a function set of the similar commodity, a use sequence in a function set of the required commodity, a use sequence specific value in a function set of the similar commodity and a use sequence specific value in a function set of the required commodity, substituting the use sequence specific value into a function coefficient calculation formula to calculate a function coefficient of the similar commodity, wherein the function coefficient calculation formula of the similar commodity is as follows:
wherein M () is the number of elements in brackets, < ->For the intersection of two sets, +.>For the intersection of two sets, +.>For the specific value of the c-th use in the functional set of the required commodity, < >>A specific value in the functional set of the similar commodity corresponding to the c-th use in the functional set of the required commodity, wherein, when +. >Directly taking 0->For the duty cycle of the c-th use, while +.>It should be noted here that +.>The values of (2) are as follows: counting 500 people average use times of the sequence requiring commodity use, calculating, dividing the people average use times of a certain commodity use sequence by the sum of the people average use times of the sequence requiring commodity use to obtain ∈ ->；
S44, comparing the function coefficient of the similar commodity with a set function coefficient threshold, removing the similar commodity with the function coefficient lower than the set function coefficient threshold from the selection set, wherein the function coefficient threshold is set as the function coefficient threshold by extracting the similar commodity data of the required commodity, substituting the similar commodity data into a formula to calculate the function coefficient of the similar commodity, and selecting 500 field experts to select the similar commodity which cannot be selected in the selection set to obtain the average function coefficient;
s5, substituting the functional coefficients of the remaining similar commodities removed from the selection set into a similar commodity demand quantity calculation strategy to calculate the demand quantity of the similar commodities required when the demand quantity phase difference value is met;
it should be noted that, the specific content of the similar commodity demand amount calculation strategy in S5 is:
S51, extracting the functional coefficients of the similar commodities which are left after being removed from the selection set, and simultaneously extracting the required quantity phase difference value calculated in the step S3；
S52, the obtained function coefficient and the required quantity phase difference value of the similar commodities remained after being removed from the selection setThe similar commodity demand is obtained by importing a similar commodity demand calculation formula, wherein the similar commodity demand calculation formula is as follows:
；
s6, substituting the required quantity of the similar commodity and the sales unit price and the transportation unit price of the similar commodity into a similar commodity cost calculation formula to calculate the sum of the costs of the similar commodity;
the specific content of S6 is as follows:
extracting the demand of similar goods and the selling price of similar goodsTransport unit price->Substituting the cost sum of the similar commodities into a similar commodity cost calculation formula to calculate the cost sum of the similar commodities, wherein the similar commodity cost calculation formula is as follows:
；
and S7, adding the sum of the costs of similar commodities and the sum of the costs of required commodities to obtain the sum of the costs of logistics scheduling, selecting the similar commodities with the smallest sum of the costs of the logistics scheduling and a scheduling scheme of the required commodities, transmitting the similar commodities and the scheduling scheme of the required commodities to a client, and requesting the client to confirm.
The invention judges whether the storage quantity of the required commodity meets the logistics scheduling information of the required commodity according to the statistical data and the historical return data of the stock materials, if yes, issues a meeting scheduling instruction to a client, if no, extracts the storage quantity of the required commodity and the logistics scheduling information of the required commodity, subtracts the storage quantity of the required commodity from the required quantity of the commodity in the logistics scheduling information of the required commodity to obtain a required quantity phase difference value, obtains the logistics scheduling information of the required commodity and the required quantity phase difference value, obtains a selection set of similar commodities according to the functional characteristics of the required commodity, substitutes the selection set into a functional coefficient calculation strategy to calculate the functional coefficient of the similar commodity, compares the functional coefficient with a set functional coefficient threshold, removes the similar commodity with the functional coefficient lower than the set functional coefficient threshold from the selection set, substituting the function coefficients of the remaining similar commodities after removal from the selection set into a similar commodity demand quantity calculation strategy to calculate the demand quantity of the similar commodities required when the demand quantity phase difference value is met, substituting the demand quantity of the similar commodities, the sales unit price of the similar commodities and the transportation unit price of the similar commodities into a similar commodity cost calculation formula, calculating the cost sum of the similar commodities, adding the cost sum of the similar commodities and the cost sum of the required commodities to obtain the cost sum of logistics dispatching, selecting the similar commodities with the smallest cost sum of the logistics dispatching and a dispatching scheme of the required commodities to transmit to a client, requesting the client to confirm, providing an optimal similar material dispatching scheme on the premise that stock materials are insufficient to meet dispatching demands, improving the quick response capability of material dispatching, and avoiding the situation of dispatching failure caused by insufficient material preparation.
Example 2
As shown in fig. 2, a logistics scheduling system based on inventory data sharing is implemented based on the logistics scheduling method based on inventory data sharing, which includes a logistics scheduling issue module, an inventory material statistics module, a storage amount of required goods judging module, a required amount phase difference value calculating module, a function coefficient calculating module, a similar commodity required amount calculating module, a similar commodity cost calculating module, a scheduling scheme transmitting module and a control module, wherein the control module is used for controlling the operation of the logistics scheduling issue module, the inventory material statistics module, the storage amount of required goods judging module, the required amount phase difference value calculating module, the function coefficient calculating module, the similar commodity required amount calculating module, the similar commodity cost calculating module and the scheduling scheme transmitting module, the logistics scheduling issue module is used for issuing logistics scheduling information of required goods through a client, and the inventory material statistics module is used for counting inventory materials according to the received logistics scheduling information.
In this embodiment, the required commodity storage amount judging module is configured to judge whether the storage amount of the required commodity satisfies the logistics scheduling information of the required commodity according to the statistical data and the historical return data of the stock materials, the required amount phase difference calculating module is configured to extract the storage amount of the required commodity and the logistics scheduling information of the required commodity, the required amount phase difference value is obtained by subtracting the storage amount of the required commodity from the required amount of the commodity in the logistics scheduling information of the required commodity, the functional coefficient calculating module is configured to obtain the logistics scheduling information of the required commodity and the required amount phase difference value, obtain a selection set of similar commodities according to the functional characteristics of the required commodity, substitute the functional coefficient into a functional coefficient calculating policy, compare the functional coefficient with a set functional coefficient threshold, remove the similar commodity with the functional coefficient lower than the set functional coefficient threshold from the selection set, the functional coefficient of the remaining similar commodity after the removal from the selection set is configured to calculate the required amount of the similar commodity when the required amount of the required commodity is subtracted from the required amount phase difference value, the similar commodity cost calculating module is configured to calculate the required amount of the similar commodity when the required amount of the required commodity is subtracted from the required amount of the logistics scheduling policy, the similar commodity cost calculating module is configured to obtain the sum of the similar required amount of the similar commodity and the sum of the similar commodity cost, the sum of the similar commodity cost and the similar commodity and the sum of the similar commodity cost and the similar commodity transmission cost and the sum of the required commodity and the required commodity transmission scheme is calculated to be confirmed by the sum of the required and the sum of the required commodity cost and the required cost and the required and the customer.
Example 3
The present embodiment provides an electronic device including: a processor and a memory, wherein the memory stores a computer program for the processor to call;
the processor executes a logistics scheduling method based on inventory data sharing as described above by calling a computer program stored in the memory.
The electronic device may be configured or configured differently to generate a larger difference, and may include one or more processors (Central Processing Units, CPU) and one or more memories, where at least one computer program is stored in the memories, and the computer program is loaded and executed by the processors to implement a method for scheduling a logistics based on inventory data sharing according to the above embodiment of the method. The electronic device can also include other components for implementing the functions of the device, for example, the electronic device can also have wired or wireless network interfaces, input-output interfaces, and the like, for inputting and outputting data. The present embodiment is not described herein.
Example 4
The present embodiment proposes a computer-readable storage medium having stored thereon an erasable computer program;
The computer program, when executed on the computer device, causes the computer device to perform one of the inventory data sharing-based logistics scheduling methods described above.
For example, the computer readable storage medium can be Read-Only Memory (ROM), random access Memory (Random Access Memory, RAM), compact disk Read-Only Memory (Compact Disc Read-Only Memory, CD-ROM), magnetic tape, floppy disk, optical data storage device, etc.
It should be understood that, in various embodiments of the present application, the sequence numbers of the foregoing processes do not mean the order of execution, and the order of execution of the processes should be determined by the functions and internal logic thereof, and should not constitute any limitation on the implementation process of the embodiments of the present application.
It should be understood that determining B from a does not mean determining B from a alone, but can also determine B from a and/or other information.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions in accordance with embodiments of the present invention are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in or transmitted from one computer-readable storage medium to another, for example, by way of wired or/and wireless networks from one website site, computer, server, or data center to another. Computer readable storage media can be any available media that can be accessed by a computer or data storage devices, such as servers, data centers, etc. that contain one or more collections of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the partitioning of units is merely one way of partitioning, and there may be additional ways of partitioning in actual implementation, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (5)
1. The logistics scheduling method based on inventory data sharing is characterized by comprising the following specific steps:
s1, a client issues logistics scheduling information of goods to be required through a client, and an inventory manager counts inventory materials according to the logistics scheduling information through the received logistics scheduling information;
s2, judging whether the storage quantity of the required commodity meets the logistics scheduling information of the required commodity according to the statistical data and the historical return data of the stock materials, if so, issuing a meeting scheduling instruction to the client, and if not, performing S3;
S3, extracting storage capacity of the required commodity and logistics scheduling information of the required commodity, and subtracting the storage capacity of the required commodity from the required commodity in the logistics scheduling information of the required commodity to obtain a required quantity phase difference value;
s4, acquiring logistics scheduling information and a required quantity phase difference value of the required commodity, acquiring a selection table of similar commodity according to the functional characteristic of the required commodity, substituting the selection table into a functional coefficient calculation strategy to calculate the functional coefficient of the similar commodity, comparing the functional coefficient with a set functional coefficient threshold value, and removing the similar commodity with the functional coefficient lower than the set functional coefficient threshold value from the selection table;
s5, substituting the functional coefficients of the remaining similar commodities after removal from the selection table into a similar commodity demand quantity calculation strategy to calculate the demand quantity of the similar commodities required when the demand quantity phase difference value is met;
s6, substituting the required quantity of the similar commodity and the sales unit price and the transportation unit price of the similar commodity into a similar commodity cost calculation formula to calculate the sum of the costs of the similar commodity;
s7, adding the sum of the costs of similar commodities and the sum of the costs of required commodities to obtain the sum of the costs of logistics scheduling, selecting the similar commodities with the smallest sum of the costs of the logistics scheduling and a scheduling scheme of the required commodities to transmit to a client, and requesting the client to confirm; the S1 comprises the following specific steps:
S11, a customer acquires commodities needing to be purchased according to sales requirements, and issues logistics scheduling information of the commodities needing to be purchased to an inventory management end through a client, wherein the logistics scheduling information comprises specifications, required quantity and main purposes of the commodities needing to be purchased;
s12, the inventory management side receives logistics scheduling information sent by the client through the inventory management side, counts inventory materials according to the logistics scheduling information, and acquires inventory data and preset data of goods to be purchased; the S2 comprises the following specific contents:
s21, extracting the acquired preset data of the commodity required, extracting the historical return data of the preset main body corresponding to the preset data, and calculating the historical return frequency of the preset main body corresponding to the ith preset data, wherein the calculation formula of the historical return frequency of the preset main body corresponding to the ith preset data is as follows:
wherein->Historical predetermined total number of predetermined subjects for the ith predetermined data, +.>A history preset total number of back changes corresponding to the preset main body for the ith preset data;
s22, extracting historical stock withdrawal frequency of a preset main body corresponding to preset data and substituting stock data of the required commodity into a storage quantity calculation formula of the required commodity to calculate the storage quantity of the required commodity, wherein the storage quantity calculation formula of the required commodity is as follows:
Wherein->For stock data of required goods +.>Predetermined data for an i-th predetermined subject, i being any one of (1) to n), n being the total number of predetermined subjects;
s23, judging whether the storage capacity of the obtained required commodity meets the logistics scheduling information of the required commodity, if yes, issuing a scheduling meeting instruction to the client, and if not, performing S3; the specific steps of the function coefficient calculation strategy in the step S4 are as follows:
s41, acquiring logistics scheduling information and a required quantity phase difference value of the required commodity, acquiring functional characteristics of the required commodity, acquiring similar commodities which are the same as the main purpose of the required commodity according to the main purpose in the functional characteristics of the required commodity, and carrying out statistics on the similar commodities to form a selection list for transmission;
s42, extracting the application sequences in the function table of the similar commodity and simultaneously extracting the application sequences in the function table of the required commodity, wherein the application sequences are respectively expressed as follows:
and->Wherein->The superscript z of (a) is the function table of the similar commodity, the subscript j is the j-th application, and the whole meaning is the j-th application in the function table of the similar commodity,/for>The superscript t of (2) is the function table of the commodity, the subscript c is the c-th application, and the whole meaning is the c-th application in the function table of the commodity; the function coefficient calculation strategy in the step S4 further comprises the following specific steps:
S43, extracting a use sequence in a function table of the similar commodity, a use sequence in a function table of the required commodity, a use sequence specific value in a function table of the similar commodity and a use sequence specific value in a function table of the required commodity, substituting the use sequence specific value into a function coefficient calculation formula to calculate a function coefficient of the similar commodity, wherein the function coefficient calculation formula of the similar commodity is as follows:
wherein M () is the number of elements in brackets, < ->For the intersection of two sets, +.>For the intersection of two sets, +.>To be a required quotientSpecific values of the c-th use in the functional table of the product,/->Specific numerical values in the function table for the similar goods corresponding to the c-th use in the function table for the required goods, wherein, when +.>Directly taking 0->For the duty cycle of the c-th use, while +.>；
S44, comparing the function coefficient of the similar commodity with a set function coefficient threshold value, and removing the similar commodity with the function coefficient lower than the set function coefficient threshold value from the selection table; the specific content of the similar commodity demand amount calculation strategy in the S5 is as follows:
s51, extracting the obtained similar goods left after the removal from the selection table, extracting the functional coefficients of the similar goods left after the removal from the selection table, and simultaneously extracting the required quantity phase difference value calculated in the step S3 ；
S52, the obtained function coefficient and the required quantity phase difference value of the similar commodity remained after being removed from the selection tableThe similar commodity demand is obtained by importing a similar commodity demand calculation formula, wherein the similar commodity demand calculation formula is as follows:
。
2. the logistics scheduling method based on inventory data sharing as claimed in claim 1, wherein the specific contents of S6 are as follows:
extracting the demand of similar goods and the selling price of similar goodsTransport unit price->Substituting the cost sum of the similar commodities into a similar commodity cost calculation formula, wherein the similar commodity cost calculation formula is as follows:
。
3. a logistics scheduling system based on inventory data sharing, which is realized based on the logistics scheduling method based on inventory data sharing according to any one of claims 1-2, and is characterized by comprising a logistics scheduling issue module, an inventory material statistics module, a required commodity storage capacity judging module, a required quantity phase difference value calculating module, a function coefficient calculating module, a similar commodity required quantity calculating module, a similar commodity cost calculating module, a scheduling scheme transmission module and a control module, wherein the control module is used for controlling the operation of the logistics scheduling issue module, the inventory material statistics module, the required commodity storage capacity judging module, the required quantity phase difference value calculating module, the function coefficient calculating module, the similar commodity required quantity calculating module, the similar commodity cost calculating module and the scheduling scheme transmission module, and the logistics scheduling issue module is used for issuing the logistics scheduling information of required commodities through a client, and the inventory material statistics module is used for counting the inventory materials according to the logistics scheduling information through the received logistics scheduling information.
4. The logistics scheduling system based on inventory data sharing according to claim 3, wherein the required commodity storage amount judging module is configured to judge whether the storage amount of the required commodity meets the logistics scheduling information of the required commodity according to the statistical data and the historical return data of the inventory materials, the required amount phase difference value calculating module is configured to extract the storage amount of the required commodity and the logistics scheduling information of the required commodity, the required amount of the required commodity is subtracted from the required amount of the commodity in the logistics scheduling information of the required commodity to obtain the required amount phase difference value, the functional coefficient calculating module is configured to obtain the logistics scheduling information of the required commodity and the required amount phase difference value, obtain a selection table of the similar commodity according to the functional characteristics of the required commodity, calculate the functional coefficient of the similar commodity in the functional coefficient calculating strategy, compare the functional coefficient with the set functional coefficient threshold, remove the similar commodity with the functional coefficient lower than the set functional coefficient threshold, and the similar commodity demand amount calculating module is configured to substitute the functional coefficient of the remaining similar commodity after the removal from the selection table into the similar commodity demand amount calculating strategy to calculate the required amount of the similar commodity required amount meeting the required amount value.
5. The logistics scheduling system based on inventory data sharing of claim 4, wherein the similar commodity cost calculation module is used for substituting the required amount of the similar commodity and the sales unit price and the transportation unit price of the similar commodity into a similar commodity cost calculation formula to calculate the sum of costs of the similar commodity, the scheduling scheme transmission module is used for summing the sum of costs of the similar commodity and the sum of costs of the required commodity to obtain the sum of costs of logistics scheduling, and selecting the similar commodity with the smallest sum of costs of logistics scheduling and the scheduling scheme of the required commodity to transmit to the client to request the client to confirm.
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