CN115719197A - Digital supply chain operation management system and method based on industrial internet - Google Patents

Digital supply chain operation management system and method based on industrial internet Download PDF

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CN115719197A
CN115719197A CN202310032233.9A CN202310032233A CN115719197A CN 115719197 A CN115719197 A CN 115719197A CN 202310032233 A CN202310032233 A CN 202310032233A CN 115719197 A CN115719197 A CN 115719197A
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sales
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supply
data
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CN115719197B (en
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王建宇
陈松
朱朝波
韩军强
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Shenzhen Zhongnuosi Technology Co ltd
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Abstract

The invention discloses a digital supply chain operation management system and method based on industrial Internet, which are used for solving the problems that the commodity supplement at a sales end is not timely and the sales at the sales end is influenced because the corresponding supply end cannot be reasonably selected for commodity supply in the conventional supply chain operation management; the method comprises the steps that sales data are processed through an operation analysis module to obtain an operation signaling of a commodity to be replenished, then the operation signaling is processed through an operation management module to obtain a figure of merit, and a corresponding processing end is selected through the figure of merit to perform the commodity corresponding to the replenishing, so that the selling end can replenish the corresponding commodity in time; the registered user inquires the commodity information in the selling end through the data inquiry module so that the registered user can know the commodity information of the remaining sold commodities in the selling end in time.

Description

Digital supply chain operation management system and method based on industrial internet
Technical Field
The invention relates to the technical field of digital supply chain operation, in particular to a digital supply chain operation management system and method based on an industrial internet.
Background
The service of the industrial Internet is digitalization, servitization and ecology, the essence of the industrial Internet is to benefit the thinking and symbiotic logic of the service, the service platform of the industrial digital supply chain is the deep integration of the Internet technology and the operation mode of the supply chain, and the intelligent management of the supply chain is realized by the efficient cooperation of commodity flow, bill flow, fund flow and logistics on the supply chain through the block chain, cloud computing, big data, the Internet of things, the current most popular artificial intelligence and other technologies, so that the intelligent management of the supply chain is realized, and the intelligent management has the capabilities of visual presentation, dynamic regulation and deep analysis, but the existing supply chain operation management can not reasonably select the corresponding supply end to supply commodities, so that the commodity supplement at the sale end is not timely, and the sale at the sale end is influenced;
a solution is now provided to address the technical deficiencies in this respect.
Disclosure of Invention
The invention aims to provide a digital supply chain operation management system and method based on industrial internet, aiming at solving the problems that the prior supply chain operation management can not reasonably select a corresponding supply end for commodity supply, so that the commodity supplement at a sales end is not timely and the sales at the sales end is influenced.
The purpose of the invention can be realized by the following technical scheme:
the digital supply chain operation management system based on the industrial Internet comprises a supply chain service platform, a supply end and a sale end; the supply chain service platform is in communication connection with a supply end and a sale end through an industrial internet and performs data exchange, and comprises a data acquisition module, a database, an operation analysis module, an operation management module and a chain management analysis module;
the data acquisition module is used for acquiring supply data of a supply end and sales data of a sales end and sending the supply data and the sales data to the database for storage, wherein the supply data comprises the position of a supplier and commodity information of commodities; the commodity information includes commodity name, production date, remaining quantity, supply chain number and the like; the sales data comprises the name of the sold commodity, the sales volume, the corresponding sales time and the residual quantity;
the operation analysis module is used for processing the sales data, and the specific processing process is as follows:
processing sales data of a sales end, and marking the current moment as an analysis moment corresponding to the commodity when the residual quantity of the commodity is equal to a set residual threshold value;
obtaining sales data of a sales end in one week at the current moment, dividing sales volume of the week by seven days to obtain average sales volume of each day, dividing the residual sales volume by the average sales volume to obtain residual sales days, and performing time conversion on the residual sales days to obtain residual sales duration;
calculating the time difference between the current time and the analysis time to obtain a divided time, subtracting the divided time from the remaining sale time to obtain a comparison time, marking the commodity as a commodity to be supplemented when the comparison time is equal to a set time threshold, generating an operation signaling of the commodity to be supplemented and sending the operation signaling to an operation management module; the operation signaling comprises the number and the position of the sales end, the name of the commodity to be compensated and the quantity to be compensated; the quantity to be compensated is the preset quantity of the sales end minus the residual quantity;
the operation management module receives the operation signaling and processes the operation signaling, and the specific processing process comprises the following steps:
analyzing the operation signaling, drawing a circle by taking the position of the sales end as the center of the circle and a preset distance to obtain a screening area, and acquiring the supply data of all supply ends in the screening area;
marking the supply end which comprises the commodities to be supplemented in the supply data and has the residual quantity larger than the quantity to be supplemented as a primary selection end; processing the supply data of the primary selection end to obtain a high-priority value of the primary selection end, marking the primary selection end with the maximum high-priority value as a processing end, generating a unique check code, sending the check code and the operation signaling to the processing end, and sending the check code to the sales end;
after receiving the check code and the operation signaling, the processing end conveys the commodities to be compensated with the quantity to be compensated to the selling end corresponding to the supplier, the selling end verifies the processing end through the check code, and after the verification is successful, the time when the verification is successful is sent to the database;
as a preferred embodiment of the present invention, the specific process of the operation management module processing the provisioning data of the primary terminal is as follows:
calculating the date difference between the production date corresponding to the commodity name and the current date to obtain the number of days spent corresponding to the commodity name, then carrying out normalization processing on the number of days spent, the residual quantity and the number of supply chains, and taking the values of the three after normalization processing, wherein the values are marked as YS1, YS2 and YS3 respectively;
using formulas
Figure 234797DEST_PATH_IMAGE001
Obtaining a quotient base value SP; wherein qu1, qu2 and qu3 are all preset weight coefficients; lambda is an effect supply factor of the primary selection end; when the initial selection end is initial registration, the lambda directly takes a value of 1;
calculating the distance difference between the position of the primary selection end and the position of the sale end to obtain a distance to be compensated, extracting the numerical value of the distance to be compensated, and marking the numerical value as DP; acquiring a delay value of a supply end and marking the delay value as GP;
setting the weight ratio of the quotient-base value, the distance to be compensated and the delay value as dc1, dc2 and dc3, and substituting a formula GY = SP x dc1+ dc2/DP-GP x dc3 to obtain a superior value GY of a primary selection end;
as a preferred embodiment of the present invention, the chain management analysis module is configured to analyze the time when the acquisition processing end receives the operation signaling, calculate a time difference between the time one and the corresponding verification completion time to obtain an execution duration, compare the execution duration with the remaining sales duration, and calculate a time difference between the execution duration and the remaining sales duration to obtain a time before interruption when the execution duration is less than the corresponding comparison duration; marking all the pre-break time lengths of the processing ends as ATi, i =1,2, … …, n; n is the total number of the time length before the break corresponding to the processing end, and the value is a positive integer; extracting the numerical value of the time length before interruption and substituting the numerical value into a formula
Figure 371380DEST_PATH_IMAGE002
Obtaining a supply factor of a processing end; wherein qf1 is a preset time length coefficient;
when the execution time length is longer than the corresponding comparisonWhen the time is long, the time difference between the two is used for obtaining the delay time; marking all deferred durations as YTj, j =1,2, … …, k; k is the total number of the corresponding delay time of the processing end, and the value is a positive integer; extracting a numerical value of the delay time; substitution formula
Figure 712363DEST_PATH_IMAGE003
Obtaining a delay value GP of a processing end, wherein qf2 and qf3 are preset time length coefficients;
sending the supply efficiency factor and the supply delay value to a database for storage;
as a preferred embodiment of the present invention, the sales end further comprises a commodity scanning module, wherein the commodity scanning module is configured to scan a commodity barcode of a received commodity to be replenished and send the commodity barcode to the database;
the supply chain service platform also comprises a commodity inspection module, wherein the commodity inspection module is used for inspecting the commodity bar code received in the database, feeding the commodity bar code back to a corresponding commodity manufacturer to obtain an inspection result of the commodity bar code, marking a supply end for conveying the commodity as an abnormal end when the inspection result indicates that the commodity information cannot be inquired, and feeding the abnormal end and the commodity bar code back to corresponding staff;
as a preferred embodiment of the present invention, the database further includes a data query module, and the data query module is configured to query, by a registered user, commodity information in a sales end through an intelligent terminal;
the digital supply chain operation management method based on the industrial Internet comprises the following steps:
acquiring supply data of a supply end and sales data of a sales end through a data acquisition module;
processing the sales data through an operation analysis module, marking the current time as an analysis time corresponding to the commodity when the remaining quantity of the commodity is equal to a set remaining threshold value, acquiring sales data of the sales end at the current time for one week, dividing the sales volume of one week by seven days to obtain a sales volume average value of each day, dividing the remaining quantity by the sales volume average value to obtain remaining sales days, and performing time conversion on the remaining sales days to obtain remaining sales duration; calculating the time difference between the current time and the analysis time to obtain a divided time, subtracting the divided time from the remaining sale time to obtain a comparison time, marking the commodity as a commodity to be supplemented when the comparison time is equal to a set time threshold, generating an operation signaling of the commodity to be supplemented and sending the operation signaling to an operation management module;
then analyzing the operation signaling through an operation management module, drawing a circle by taking the position of the sales end as the center of the circle and a preset distance to obtain a screening area, and acquiring the supply data of all supply ends in the screening area; marking the supply end which comprises the commodities to be supplemented in the supply data and has the residual quantity larger than the quantity to be supplemented as a primary selection end; processing the supply data of the primary selection end to obtain a high-priority value of the primary selection end, marking the primary selection end with the maximum high-priority value as a processing end, generating a unique check code, sending the check code and the operation signaling to the processing end, and sending the check code to the sales end;
after receiving the check code and the operation signaling, the processing end conveys the commodities to be compensated with the quantity to be compensated to the selling end corresponding to the supplier, the selling end verifies the processing end through the check code, and after the verification is successful, the processing end receives the commodities to be compensated conveyed by the supplier and scans the commodity bar codes of the commodities to be compensated;
and finally, checking the commodity bar code through a commodity checking module to obtain a checking result of the commodity bar code, and feeding back the checking result to corresponding workers when the commodity information cannot be inquired.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention processes the sales data through the operation analysis module to obtain the operation signaling of the commodity to be compensated, then processes the operation signaling through the operation management module to obtain the offered value, selects the corresponding processing end through the offered value to perform the commodity to be compensated, so that the sales end can supplement the corresponding commodity in time, and avoids the problem that the sales end is influenced by the influence of the untimely commodity supplement caused by the unreasonable selection of the corresponding supply end for commodity supply in the existing supply chain operation management.
2. The registered user of the invention inquires the commodity information in the selling end through the data inquiry module, so that the registered user can know the commodity information of the residual sold commodities in the selling end in time, and the problem that the existing selling end can not allow the user to know the commodity information of the residual sold commodities and the commodities of the selling end are overdue so that the user can purchase the overdue commodities is avoided.
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In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the digital supply chain operation management system based on the industrial internet includes a supply chain service platform, a supply end and a sale end; the supply end is an intelligent terminal of a supplier, comprises an intelligent computer or a mobile phone and the like, and is used for inputting data such as commodity information, positions and the like by the supplier; the selling end is a vending machine;
the supply chain service platform is in communication connection with the supply end and the sales end through an industrial internet and performs data exchange, and comprises a data acquisition module, a database, an operation analysis module, an operation management module, a chain management analysis module and a commodity inspection module;
the data acquisition module acquires supply data of a supply end and sales data of a sales end and sends the supply data and the sales data to the database for storage, wherein the supply data comprises the position of a supplier and commodity information of commodities; the commodity information includes commodity name, production date, remaining quantity, supply chain number and the like; the sales data comprises the name of the sold commodity, the sales volume, the corresponding sales time and the residual quantity; the number of supply chains is the number of agents between the supplier and the manufacturer, when the supplier is the manufacturer, the number of agents is zero, when the supplier is the primary agent, the number of agents is one, and when the supplier is the secondary agent, the number of agents is two;
the operation analysis module processes the sales data, and specifically comprises the following steps:
when the residual quantity of the commodities is equal to a set residual threshold value, marking the current moment as an analysis moment corresponding to the commodities;
obtaining sales data of a sales end in one week at the current moment, dividing sales volume of the week by seven days to obtain average sales volume of each day, dividing the residual sales volume by the average sales volume to obtain residual sales days, and performing time conversion on the residual sales days to obtain residual sales duration;
calculating the time difference between the current time and the analysis time to obtain a divided time, subtracting the divided time from the remaining sale time to obtain a comparison time, marking the commodity as a commodity to be supplemented when the comparison time is equal to a set time threshold, generating an operation signaling of the commodity to be supplemented and sending the operation signaling to an operation management module; the operation signaling comprises the number and the position of the sales end, the name of the commodity to be compensated and the quantity to be compensated; the quantity to be compensated is the preset quantity of the sales end minus the residual quantity;
the operation management module receives the operation signaling and processes the operation signaling, and the specific processing process is as follows:
analyzing the operation signaling, drawing a circle by taking the position of the sales end as the center of the circle and a preset distance to obtain a screening area, and acquiring the supply data of all supply ends in the screening area;
marking the supply end which comprises the commodities to be supplemented in the supply data and has the residual quantity larger than the quantity to be supplemented as a primary selection end; the supply data of the primary election end is processed to obtain a supply merit value of the primary election end, and the method specifically comprises the following steps: calculating the date difference between the production date corresponding to the commodity name and the current date to obtain the number of days spent corresponding to the commodity name, normalizing the number of days spent, the residual quantity and the number of supply chains, and taking the normalized values of the three, wherein the normalized values are marked as YS1, YS2 and YS3;
using a formula
Figure 377831DEST_PATH_IMAGE004
Obtaining a quotient base value SP; wherein qu1, qu2 and qu3 are all preset weight coefficients; lambda is an effect supply factor of the primary selection end; when the initial selection end is initial registration, the lambda directly takes a value of 1; qu1, qu2 and qu3 are reasonably set by a person skilled in the art according to actual conditions, for example, the values of qu1, qu2 and qu3 can be 1.3, 1.76 and 1.45;
calculating the distance difference between the position of the primary selection end and the position of the sale end to obtain a distance to be compensated, extracting the numerical value of the distance to be compensated, and marking the numerical value as DP; acquiring a delay value of a supply end and marking the delay value as GP;
setting the weight ratio of the quotient-base value, the distance to be compensated and the delay value as dc1, dc2 and dc3, and substituting a formula GY = SP x dc1+ dc2/DP-GP x dc3 to obtain a superior value GY of a primary selection end; dc1, dc2 and dc3 can be 0.6, 1.2 and 0.4;
marking the initial selection end with the maximum optimal value as a processing end, generating a unique check code, sending the check code and the operation signaling to the processing end, and sending the check code to the sales end;
after receiving the check code and the operation signaling, the processing end conveys the commodities to be compensated with the quantity to be compensated to the selling end corresponding to the supplier, the selling end verifies the processing end through the check code, and after the verification is successful, the time when the verification is successful is sent to the database;
the chain management analysis module acquires and processes the time when the processing end receives the operation signaling, calculates the time difference between the time I and the corresponding verification completion time to obtain the execution time length, compares the execution time length with the residual sale time length, and calculates the time difference between the execution time length and the residual sale time length to obtain the time length before disconnection when the execution time length is less than the corresponding comparison time length; marking all the pre-break time lengths of the processing ends as ATi, i =1,2, … …, n; n is the total number of the time length before the break corresponding to the processing end, and the value is a positive integer; extracting the value of the time length before interruption and substituting the value into a formula
Figure 663318DEST_PATH_IMAGE005
Obtaining a supply factor of a processing end; wherein qf1 is a preset time length coefficient;
when holdingWhen the time length is longer than the corresponding comparison time length, the time length difference between the two is used for obtaining the delay time length; marking all deferred durations as YTj, j =1,2, … …, k; k is the total number of the corresponding delay time of the processing end, and the value is a positive integer; extracting a numerical value of the delay time; substituting into formula
Figure 806855DEST_PATH_IMAGE006
Obtaining a delay value GP of a processing end, wherein qf2 and qf3 are preset time length coefficients; sending the supply efficiency factor and the supply delay value to a database for storage; the values of qf2 and qf3 are 0.55 and 0.45;
the commodity inspection module is used for inspecting the commodity bar codes received in the database, feeding the commodity bar codes back to corresponding commodity manufacturers to obtain the inspection results of the commodity bar codes, marking the supply end for conveying the commodity as an abnormal end when the inspection results show that the commodity information cannot be inquired, and feeding the abnormal end and the commodity bar codes back to corresponding workers;
the sales end also comprises a commodity scanning module, and the commodity scanning module is used for scanning the received commodity bar code of the commodity to be compensated and sending the commodity bar code to the database;
the database also comprises a data query module and a user registration module, wherein the data query module is used for registering the commodity information in the user to query the sale terminal through the intelligent terminal, so that the registered user can know the commodity information of the remaining sold commodities in the sale terminal in time, and the problem that the existing sale terminal can not allow the user to know the commodity information of the remaining sold commodities and the commodity of the sale terminal is overdue is avoided, so that the user can purchase overdue commodities;
the user registration module is used for the user to submit user information for registration and marking the user which is successfully registered as a registered user;
when the system is used, the data acquisition module is used for acquiring the supply data of the supply end and the sales data of the sales end; processing the sales data through an operation analysis module, marking the current time as an analysis time corresponding to the commodity when the remaining quantity of the commodity is equal to a set remaining threshold value, acquiring sales data of the sales end at the current time for one week, dividing the sales volume of one week by seven days to obtain a sales volume average value of each day, dividing the remaining quantity by the sales volume average value to obtain remaining sales days, and performing time conversion on the remaining sales days to obtain remaining sales duration; calculating the time difference between the current time and the analysis time to obtain a divided time, subtracting the divided time from the remaining sale time to obtain a comparison time, marking the commodity as a commodity to be supplemented when the comparison time is equal to a set time threshold, generating an operation signaling of the commodity to be supplemented and sending the operation signaling to an operation management module; then analyzing the operation signaling through an operation management module, drawing a circle by taking the position of the sales end as the center of the circle and a preset distance to obtain a screening area, and acquiring the supply data of all supply ends in the screening area; marking the supply end which comprises the commodities to be supplemented in the supply data and has the residual quantity larger than the quantity to be supplemented as a primary selection end; processing the supply data of the primary selection end to obtain a high-priority value of the primary selection end, marking the primary selection end with the maximum high-priority value as a processing end, generating a unique check code, sending the check code and the operation signaling to the processing end, and sending the check code to the sales end; after receiving the check code and the operation signaling, the processing end conveys the commodities to be compensated in quantity to the selling end corresponding to the supplier, the selling end verifies the processing end through the check code, and after the verification is successful, the processing end receives the commodities to be compensated conveyed by the supplier and scans the commodity bar codes of the commodities to be compensated;
and finally, checking the commodity bar code through the commodity checking module to obtain a checking result of the commodity bar code, and feeding back the commodity bar code to corresponding staff when the checking result indicates that the commodity information cannot be inquired.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms 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 utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims (6)

1. The digital supply chain operation management system based on the industrial Internet comprises a supply chain service platform, a supply end and a sale end; the supply chain service platform is in communication connection with a supply end and a sales end through an industrial internet and performs data exchange, and is characterized by comprising a data acquisition module, a database, an operation analysis module, an operation management module and a chain management analysis module;
the data acquisition module is used for acquiring supply data of a supply end and sales data of a sales end and sending the supply data and the sales data to the database for storage;
the operation analysis module is used for processing the sales data, and the specific processing process is as follows:
processing sales data of a sales end, and marking the current moment as an analysis moment corresponding to the commodity when the residual quantity of the commodity is equal to a set residual threshold value;
obtaining sales data of a sales end in one week at the current moment, dividing sales volume of the week by seven days to obtain average sales volume of each day, dividing the residual sales volume by the average sales volume to obtain residual sales days, and performing time conversion on the residual sales days to obtain residual sales duration;
calculating the time difference between the current time and the analysis time to obtain a divided time length, subtracting the divided time length from the residual sale time length to obtain a comparison time length, marking the commodity as a commodity to be supplemented when the comparison time length is equal to a set time length threshold value, and generating an operation signaling of the commodity to be supplemented and sending the operation signaling to an operation management module;
the operation management module receives the operation signaling and processes the operation signaling, and the specific processing process is as follows:
analyzing the operation signaling, drawing a circle by taking the position of the sales end as the center of the circle and a preset distance to obtain a screening area, and acquiring the supply data of all supply ends in the screening area;
marking the supply end which comprises the commodities to be supplemented in the supply data and has the residual quantity larger than the quantity to be supplemented as a primary selection end; processing the supply data of the primary selection end to obtain a high-priority value of the primary selection end, marking the primary selection end with the maximum high-priority value as a processing end, generating a unique check code, sending the check code and the operation signaling to the processing end, and sending the check code to the sales end;
and after receiving the check code and the operation signaling, the processing end conveys the commodities to be compensated in quantity to the selling end corresponding to the supplier, the selling end verifies the processing end through the check code, and after the verification is successful, the time when the verification is successful is sent to the database.
2. The digital supply chain operation management system based on industrial internet as claimed in claim 1, wherein the specific process of the operation management module to process the supply data of the primary selection end is as follows:
calculating the date difference between the production date corresponding to the commodity name and the current date to obtain the number of days of birth corresponding to the commodity name, and then performing normalization processing on the number of days of birth, the residual quantity and the number of supply chains to obtain a quotient-based value; performing distance difference calculation on the position of the primary selection end and the position of the sale end to obtain a distance to be compensated, and extracting a numerical value of the distance to be compensated; and acquiring a delay value of the supply end, and analyzing the quotient-base value, the distance to be compensated and the delay value to obtain a high-priority value of the primary selection end.
3. The digital supply chain operation management system based on the industrial internet as claimed in claim 2, wherein the chain management analysis module is configured to analyze the time when the acquisition processing end receives the operation signaling together, calculate a time difference between the time one and the corresponding verification completion time to obtain an execution time, compare the execution time with the remaining sale time, and calculate a time difference between the execution time and the remaining sale time to obtain a time before disconnection when the execution time is less than the corresponding comparison time; extracting all values of the time length before interruption and processing the values to obtain an effect supply factor of a processing end;
when the execution duration is longer than the corresponding comparison duration, obtaining a delay duration by a duration difference between the execution duration and the comparison duration; and extracting and processing the numerical values of all the delay time lengths to obtain a delay supply value of the processing end, and sending the efficiency supply factor and the delay supply value to a database for storage.
4. The digital supply chain operation management system based on the industrial internet as claimed in claim 1, wherein the sales end further comprises a commodity scanning module, the commodity scanning module is used for scanning the commodity bar code of the received commodity to be replenished and sending the commodity bar code to the database;
the supply chain service platform also comprises a commodity inspection module, wherein the commodity inspection module is used for inspecting the commodity bar codes received in the database, feeding the commodity bar codes back to corresponding commodity manufacturers to obtain an inspection result of the commodity bar codes, marking the supply end for conveying the commodity as an abnormal end when the inspection result indicates that the commodity information cannot be inquired, and feeding the abnormal end and the commodity bar codes back to corresponding workers.
5. The digital supply chain operation management system based on industrial internet as claimed in claim 1, characterized in that, the database further comprises a data query module, the data query module is used for registered users to query commodity information in the sales terminals through intelligent terminals.
6. The digital supply chain operation management method based on the industrial Internet is characterized by comprising the following steps:
acquiring supply data of a supply end and sales data of a sales end through a data acquisition module;
processing the sales data through an operation analysis module, marking the current time as an analysis time corresponding to the commodity when the remaining quantity of the commodity is equal to a set remaining threshold value, acquiring sales data of the sales end at the current time for one week, dividing the sales volume of one week by seven days to obtain a sales volume average value of each day, dividing the remaining quantity by the sales volume average value to obtain remaining sales days, and performing time conversion on the remaining sales days to obtain remaining sales duration; calculating the time difference between the current time and the analysis time to obtain a divided time, subtracting the divided time from the remaining sale time to obtain a comparison time, marking the commodity as a commodity to be supplemented when the comparison time is equal to a set time threshold, generating an operation signaling of the commodity to be supplemented and sending the operation signaling to an operation management module;
then analyzing the operation signaling through an operation management module, drawing a circle by taking the position of the sales end as the center of the circle and a preset distance to obtain a screening area, and acquiring the supply data of all supply ends in the screening area; marking the supply end which comprises the commodities to be supplemented in the supply data and has the residual quantity larger than the quantity to be supplemented as a primary selection end; processing the supply data of the primary selection end to obtain a high-priority value of the primary selection end, marking the primary selection end with the maximum high-priority value as a processing end, generating a unique check code, sending the check code and the operation signaling to the processing end, and sending the check code to the sales end;
after receiving the check code and the operation signaling, the processing end conveys the commodities to be compensated in quantity to the selling end corresponding to the supplier, the selling end verifies the processing end through the check code, and after the verification is successful, the processing end receives the commodities to be compensated conveyed by the supplier and scans the commodity bar codes of the commodities to be compensated;
and finally, checking the commodity bar code through the commodity checking module to obtain a checking result of the commodity bar code, and feeding back the commodity bar code to corresponding staff when the checking result indicates that the commodity information cannot be inquired.
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116596637A (en) * 2023-06-29 2023-08-15 网联客(北京)数字科技有限公司 Intelligent management and control system for store supply chain based on data analysis

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2005216281A (en) * 2004-02-02 2005-08-11 Yoshinori Harada Internet based merchandise order reception and sales management system
KR20140147191A (en) * 2013-06-18 2014-12-30 전경령 System for diffusion of goods information using on-line and diffusion method using the same
CN109949095A (en) * 2019-03-21 2019-06-28 中国联合网络通信集团有限公司 Replenishing method and equipment
CN112101880A (en) * 2020-11-12 2020-12-18 杭州次元岛科技有限公司 Supply of goods management system based on cloud calculates
CN112184397A (en) * 2020-11-02 2021-01-05 杭州次元岛科技有限公司 Commodity management system based on shopping mall
CN112507202A (en) * 2020-11-05 2021-03-16 社宝信息科技(上海)有限公司 Method and system for multi-mall distribution and commodity search
CN112581220A (en) * 2020-12-11 2021-03-30 上海城建职业学院 Intelligent vending system for unmanned supermarket
CN113052278A (en) * 2021-03-16 2021-06-29 广东便捷神科技股份有限公司 Intelligent retail management system based on RFID technology
CN113469591A (en) * 2020-03-30 2021-10-01 北京沃东天骏信息技术有限公司 Inventory replenishment control method and device, electronic equipment and storage medium
CN114742331A (en) * 2022-06-13 2022-07-12 南京龙芯源智能科技有限公司 Digital supply chain information processing system and method based on industrial internet
TWM632397U (en) * 2022-06-16 2022-09-21 樹德科技大學 Vending machine product replenishment system

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2005216281A (en) * 2004-02-02 2005-08-11 Yoshinori Harada Internet based merchandise order reception and sales management system
KR20140147191A (en) * 2013-06-18 2014-12-30 전경령 System for diffusion of goods information using on-line and diffusion method using the same
CN109949095A (en) * 2019-03-21 2019-06-28 中国联合网络通信集团有限公司 Replenishing method and equipment
CN113469591A (en) * 2020-03-30 2021-10-01 北京沃东天骏信息技术有限公司 Inventory replenishment control method and device, electronic equipment and storage medium
CN112184397A (en) * 2020-11-02 2021-01-05 杭州次元岛科技有限公司 Commodity management system based on shopping mall
CN112507202A (en) * 2020-11-05 2021-03-16 社宝信息科技(上海)有限公司 Method and system for multi-mall distribution and commodity search
CN112101880A (en) * 2020-11-12 2020-12-18 杭州次元岛科技有限公司 Supply of goods management system based on cloud calculates
CN112581220A (en) * 2020-12-11 2021-03-30 上海城建职业学院 Intelligent vending system for unmanned supermarket
CN113052278A (en) * 2021-03-16 2021-06-29 广东便捷神科技股份有限公司 Intelligent retail management system based on RFID technology
CN114742331A (en) * 2022-06-13 2022-07-12 南京龙芯源智能科技有限公司 Digital supply chain information processing system and method based on industrial internet
TWM632397U (en) * 2022-06-16 2022-09-21 樹德科技大學 Vending machine product replenishment system

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116596637A (en) * 2023-06-29 2023-08-15 网联客(北京)数字科技有限公司 Intelligent management and control system for store supply chain based on data analysis

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