Method and device for wound yarn package warehouse storage management, electronic device, storage medium, and program

Abstract

To provide a method and a device for wound yarn package warehouse storage management, an electronic device, a storage medium, and a program, which are related to the field of an intelligence technique for chemical fiber production.SOLUTION: The method includes: acquiring production data and historical selling data of a wound yarn package in response to receiving a warehousing request of the wound yarn package; inputting the production data and the historical selling data to a prediction model to obtain a predicted delivery time of the wound yarn package output by the prediction model; allocating a first target location for the wound yarn package based on the predicted delivery time and storage state information of each location of a three-dimentional warehouse; sending a warehousing task having a position of the first target location to a first stacker; and executing the warehousing task based on the position of the first target location with the first stacker. The warehousing task is used to command to store the wound yarn package into the first target location.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] It relates to the technical field of intelligent chemical fiber production, and particularly relates to a method and device for storing and managing winding package warehouses.

Background Art

[0002] In the field of chemical fiber production, three-dimensional warehouses have advantages such as high space utilization rate and high automation degree, so three-dimensional warehouses are widely applied in factories for winding package packaging, etc.

Summary of the Invention

Problems to be Solved by the Invention

[0003] When the winding package packaging process is completed, the packaged winding packages are stored in a three-dimensional warehouse. However, since the production volumes and sales volumes of different winding packages are different, it is difficult to achieve intelligent management of the three-dimensional warehouse. Therefore, how to realize an intelligent warehouse management mechanism that improves the efficiency of the outbound and inbound tasks of winding packages has become a technical problem that needs to be solved urgently.

Means for Solving the Problems

[0004] The present disclosure provides a method and device for storing and managing winding package warehouses, an electronic device, a storage medium, and a program.

[0005] According to a first aspect of the present disclosure, there is provided a method for storing and managing a winding package warehouse applied to a warehouse management system, the method comprising: in response to receiving an inbound request for a winding package, obtaining production data and historical sales data of the winding package; inputting the production data and the historical sales data into a prediction model to obtain a predicted outbound time of the winding package output by the prediction model; allocating a first target location for the winding package based on the predicted outbound time and the storage status information of each location in the three-dimensional warehouse; Send the warehousing task with the position of the first target location to the first stacker, and the first stacker executes the warehousing task based on the position of the first target location, where the warehousing task is used to instruct to store the wound package at the first target location.

[0006] According to a second aspect of the present disclosure, there is provided a device for managing the storage of wound packages, which is applied to a warehouse management system. The device includes: A first acquisition module for acquiring production data and historical sales data of the wound package in response to receiving a warehousing request for the wound package; An input module for inputting the production data and the historical sales data into a prediction model to obtain the predicted outbound time of the wound package output by the prediction model; An allocation module for allocating a first target location for the wound package based on the predicted outbound time and the storage status information of each location in the three-dimensional warehouse; A first transmission module for sending a warehousing task with the position of the first target location to the first stacker, and the first stacker executes the warehousing task based on the position of the first target location, where the warehousing task is used to instruct to store the wound package at the first target location.

[0007] According to a third aspect of the present disclosure, there is provided an electronic device, which includes: At least one processor; A memory communicatively connected to the at least one processor, wherein the memory stores instructions executable by the at least one processor, and when the instructions are executed by the at least one processor, they cause the at least one processor to execute any one of the methods in the embodiments of the present disclosure.

[0008] According to a fourth aspect of the present disclosure, there is provided a non-transitory computer-readable storage medium storing computer instructions for causing a computer to execute any one of the methods in the embodiments of the present disclosure.

[0009] According to a fifth aspect of the present disclosure, there is provided a program which, when executed by a processor, implements any one of the methods in the embodiments of the present disclosure.

[0010] According to the technology of the present disclosure, an intelligent warehouse management mechanism can be constructed, which helps to realize the intelligent management of the warehousing tasks and the outbound tasks of the winding packages, thereby contributing to the improvement of the efficiency of the inbound and outbound of the winding packages.

[0011] It should be understood that the content described herein is not intended to describe the key points or important features of the embodiments of the present disclosure, nor is it used to limit the scope of the present disclosure. For other features of the present disclosure, understanding is promoted through the following description.

Brief Description of the Drawings

[0012] The above and other features, advantages, and aspects of the embodiments of the present disclosure will become more apparent by referring to the following detailed description in connection with the drawings. In the drawings, the same or similar reference numerals represent the same or similar elements.

[0013]

Figure 1

Figure 2

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Figure 6

Mode for Carrying Out the Invention

[0014] Hereinafter, exemplary embodiments of the present disclosure will be described with reference to the drawings. Here, various details of the embodiments of the present disclosure are included for ease of understanding, and these should be considered merely exemplary. Therefore, those skilled in the art should recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of the present disclosure. Similarly, in the following description, descriptions of known functions and structures are omitted for clarity and simplicity.

[0015] In the embodiments of the specification of the present disclosure, the claims, and the above-mentioned drawings, terms such as "first", "second", and "third" are not necessarily used to describe a specific order or priority, but are for distinguishing similar objects. Furthermore, the terms "include" and "have" and their variants are intended for non-exclusive inclusion, for example, including a series of steps or units. A method, system, product, or device does not necessarily have to be limited to the explicitly listed steps or units, and may include other steps or units not explicitly listed or specific to these processes, methods, products, or devices.

[0016] Before explaining the technical aspects of the embodiments of the present disclosure, first, technical terms that may be used in the present disclosure will be explained.

[0017] An automated warehouse, also called a high-rise warehouse or a high-bay warehouse, is a warehouse that stores unit goods in racks with a height of several floors, a dozen floors to dozens of floors, and performs the inbound and outbound operations of goods using corresponding material handling equipment. The warehouse body is composed of a rack, aisle stacker cranes, inbound (outbound) workbenches, and an automatic loading (unloading) and operation control system.

[0018] In the related art, in a chemical industrial production plant for winding package packaging, after the winding package packaging process is completed, the stacked and packaged winding packages are stored in a three-dimensional warehouse by a stacker. It is also called a high-rise warehouse or a high-bay warehouse, which refers to a warehouse that stores unit goods in racks with a height of several floors, a dozen floors to dozens of floors, and performs the inbound and outbound operations of goods using corresponding material handling equipment.

[0019] In the related art, after the winding package packaging is completed, the packaged winding packages are transported to a three-dimensional warehouse for storage. However, since the production and sales volumes of different winding packages are different, it is difficult to achieve intelligent management of the three-dimensional warehouse. The management of the three-dimensional warehouse includes inbound management and outbound management. For inbound management, the sales volume of the inbound winding packages can affect the outbound time of the inbound winding packages. If the winding packages with a large sales volume are stored in a location far from the outbound position, it will lead to a decrease in the outbound efficiency of the winding packages.

[0020] The present disclosure proposes a method and apparatus for storing and managing winding packages in a warehouse to at least partially solve one or more of the above problems and other potential problems. By constructing an intelligent warehouse management mechanism, it helps to realize the intelligent management of the inbound and outbound tasks of winding packages and improve the inbound and outbound efficiency of winding packages.

[0021] Embodiments of the present disclosure provide a method for storing and managing winding packages in a warehouse management system. FIG. 1 is a schematic flowchart of the method for storing and managing winding packages in a warehouse according to an embodiment of the present disclosure. The apparatus for storing and managing winding packages in a warehouse is installed on an electronic device in the warehouse management system. In some possible implementation forms, the method for storing and managing winding packages in a warehouse can also be implemented by a processor calling computer-readable instructions stored in a memory. As shown in FIG. 1, the method for storing and managing winding packages in a warehouse includes the following.

[0022] In S101, in response to receiving a storage request for a winding package, production data and historical sales data of the winding package are acquired.

[0023] In S102, the production data and the historical sales data are input into a prediction model, and a predicted shipping time of the winding package output by the prediction model is obtained.

[0024] In S103, based on the predicted shipping time and the storage status information of each location in the three-dimensional warehouse, a first target location for the winding package is assigned.

[0025] In S104, a storage task having the position of the first target location is sent to the first stacker, and the first stacker executes the storage task based on the position of the first target location. The storage task is used to instruct to store the winding package at the first target location.

[0026] In an embodiment of the present disclosure, the storage request for the winding package is sent to the warehouse management system by a management device for winding package production. The storage request for the winding package may include the type of the winding package to be stored, the lot number of the winding package to be stored, the number of the winding packages to be stored, other data of the winding package to be stored, and the like. The above is only an exemplary description and does not limit all possible contents included in the storage request for the winding package, and is not enumerated here.

[0027] Here, the main types of filaments according to the embodiments of the present disclosure can include one or more of partially oriented yarns (POY), fully drawn yarns (FDY), draw textured yarns (DTY) (or low-elastic filaments), etc. For example, as the types of filaments, specifically mentioned are polyester partially oriented yarns (POY), polyester fully drawn yarns (FDY), polyester drawn yarns (PDY), polyester draw textured yarns (DTY), polyester staple fiber (PSF), etc.

[0028] In the embodiments of the present disclosure, the Warehouse Management System (WMS) is a system specialized for warehouse management, with efficient task execution and process planning strategies as the core. Collaborating with location management, barcode / QR code (registered trademark) management, and warehouse automation equipment, it can significantly improve work efficiency and resource utilization rate.

[0029] In the embodiments of the present disclosure, the warehouse management system can provide functions such as inbound management, outbound management, stock transfer management, inventory adjustment, barcode printing, etc., and can handle product lot management, expiration date management, multiple packaging specifications, multiple packaging barcodes, etc., realizing complete warehouse logistics information management.

[0030] In the embodiments of the present disclosure, the production data can include the production quantity of a certain type of winding package, the production efficiency of a certain type of winding package, the production time length of a certain type of winding package, etc. The above is only an exemplary description and does not limit all possible contents included in the production data, which are not enumerated here.

[0031] In an embodiment of the present disclosure, the historical sales data refers to sales-related data of a certain type of wound package over a certain period. The historical sales data includes, but is not limited to, the sales amount of a certain type of wound package, the number of sales of a certain type of wound package, the sales route of a certain type of wound package, etc. Also, by using other auxiliary tools, the historical sales data of a certain type of wound package can be analyzed, such as data visualization, trend analysis, data mining, etc.

[0032] In some embodiments, the historical sales data can be obtained by a management device that produces wound packages, and can also be obtained from a data source that stores wound package data. The above is only an exemplary description, and does not limit all possible acquisition methods included in the historical sales data, which are not enumerated here.

[0033] In an embodiment of the present disclosure, the warehouse management system can communicate with a management device and a stacker that produce wound packages. When the warehouse management system communicates with the management device that produces wound packages, the management device that produces wound packages can send the production data and historical sales data of the wound packages to the warehouse management system, and the warehouse management system can send information such as the storage location and storage time of the wound packages to the management device that produces wound packages. When the warehouse management system communicates with the stacker, the warehouse management system can send the tasks to be executed and task data to the stacker, and the stacker can send the completion status of the tasks to the warehouse management system. In this way, the intelligence from wound package production to wound package storage can be enhanced, contributing to the improvement of the production of wound packages and the efficiency of the incoming and outgoing of wound packages.

[0034] In some embodiments, the prediction model can make predictions based on production data and historical sales data for a first period to obtain production data and sales data for a second period. The prediction model may be a pre-trained model. Specifically, the training method of the prediction model is to obtain production data and historical sales data of a certain type of wound package in the first period, input the production data and historical sales data of a certain type of wound package in the first period into a preset model to obtain the predicted sales value of a certain type of wound package in the second period, construct a loss function based on the predicted sales value in the second period and the true sales value in the second period, and train the preset model based on the loss function to obtain a prediction model, and thus can be obtained by training. Here, the first period is earlier than the second period.

[0035] In some embodiments, the predicted shipping time can be determined based on the manufacturing data and sales data of the wound package. When the production quantity of a certain type of wound package is large and it is a bestseller, the predicted shipping time of this type of wound package will be earlier. The smaller the production quantity of a certain type of wound package and the worse its sales performance, the later the predicted shipping time of this type of wound package will be.

[0036] In some embodiments, the storage status information can include wound packages stored in a location, wound packages not yet stored in the location, lot numbers of wound packages stored in the location, the number of wound packages stored in the location, the type of wound packages stored in the location, etc. The above is only an exemplary description and does not limit all possible acquisition contents included in the storage status information, and will not be listed here.

[0037] In some embodiments, the first target location is the location assigned for the wound package warehousing task.

[0038] In an embodiment of the present disclosure, the stacker is an important conveying facility in a three-dimensional warehouse. The stacker can automatically, quickly, and accurately load and unload goods in the three-dimensional warehouse, and can improve the utilization rate of the warehouse and the working efficiency. The main components of the stacker can include a fork for picking up, transporting, and stacking goods in a warehouse or a workplace, a loading platform for placing goods, a lifting mechanism for realizing the lifting operation of goods, a traveling mechanism for realizing the movement of the stacker in the warehouse, and a control system for controlling various operations and movements of the stacker. Here, the fork can adopt an electric or hydraulic drive method and can be extended, retracted, and rotated as required. The loading platform can adopt a steel structure or an aluminum alloy structure with sufficient supporting capacity and stability. The lifting mechanism can adopt an electric or hydraulic drive method and has the characteristics of high precision, good stability, and reliability. The traveling mechanism can adopt a wheel or crawler structure and has the characteristics of high moving speed and stable operation. The control system can adopt a control device such as a PLC or a single chip, and has the characteristics of high automation degree and simple operation.

[0039] In an embodiment of the present disclosure, the inbound task can refer to transporting the winding package from the production line to a designated location in the three-dimensional warehouse, and can also refer to transporting the winding package from one location in the three-dimensional warehouse to another location in the three-dimensional warehouse. In order to facilitate the outbound of the winding packages of the same lot, when the winding packages of the same lot are stored in the warehouse, a plurality of winding packages of the same lot are stored in a plurality of locations, and the distances of the plurality of locations are within a certain range.

[0040] In response to receiving an inbound request for a winding package, the technical solution of the embodiment of the present disclosure acquires the production data and historical sales data of the winding package, inputs the production data and historical sales data into a prediction model to obtain the predicted outbound time of the winding package output by the prediction model, and based on the predicted outbound time and the storage status information of each location in the three-dimensional warehouse, allocates a first target location for the winding package, sends an inbound task with the position of the first target location to a first stacker, and the first stacker executes the inbound task based on the position of the first target location. The inbound task is used to instruct to store the winding package at the first target location. In this way, when storing the winding package, the prediction model predicts the predicted outbound time of the winding package, and allocates the first target location in combination with the predicted outbound time, which helps to quickly complete the outbound of the winding package subsequently, contributes to the improvement of the outbound efficiency, and at the same time, by allocating the first target location for each winding package to be stored in combination with the predicted outbound time, the rationality and effectiveness of the inbound management can be enhanced.

[0041] FIG. 2 is a schematic diagram of allocating a first target location for a winding package. As shown in FIG. 2, based on the predicted outbound time and the storage status information of each location in the three-dimensional warehouse, allocating a first target location for the winding package includes, when the predicted outbound time is in a first period, allocating a first target location for the winding package within a range of a first preset distance from the outbound port, and when the predicted outbound time is in a second period, allocating a first target location for the winding package within a range of a second preset distance from the outbound port. The first period is earlier than the second period, and at least some of the locations within the range of the first preset distance are closer to the outbound port than at least some of the locations within the range of the second preset distance.

[0042] In some embodiments, the winding packages with predicted shipping times in the first period are the winding packages to be shipped earlier. The winding packages with predicted shipping times in the second period are the winding packages to be shipped more slowly. The range of the first preset distance is a relatively short distance range from the shipping outlet, and the range of the second preset distance is a relatively long distance range from the shipping outlet.

[0043] In some embodiments, if the first period is within 10 days and the second period is after 10 days, there are two lots of winding packages that need to be stocked in the second factory on November 20, 2023. They are the POY winding package with lot number A011 and the FDY winding package with lot number B016 respectively. In response to receiving the stock-in requests for the winding packages of the POY winding package with lot number A011 and the FDY winding package with lot number B016, the production data and historical sales data of the POY winding package with lot number A011 and the FDY winding package with lot number B016 are obtained. The production data and historical sales data of the POY winding package with lot number A011 and the FDY winding package with lot number B016 are respectively input into the prediction model to obtain the predicted shipping times of the winding packages output by the prediction model. That is, the predicted shipping time of the POY winding package with lot number A011 is from 8:00 to 20:00 on November 22, 2023, and the predicted shipping time of the FDY winding package with lot number B016 is from 8:00 to 18:00 on December 2, 2023. The predicted shipping time of the POY winding package with lot number A011 is in the first period, and a location 100 meters away from the shipping outlet is assigned for the POY winding package with lot number A011. The predicted shipping time of the FDY winding package with lot number B016 is in the second period, and a location 1000 meters away from the shipping outlet is assigned for the FDY winding package with lot number B016.

[0044] In this way, by considering the predicted shipping time based on the production data and historical sales data of the wound yarn package before storing the wound yarn package, it helps to allocate a reasonable location for the wound yarn package to be stored, contributing to the improvement of the shipping efficiency of the wound yarn package.

[0045] In some embodiments, allocating a first target location for the wound yarn package based on the predicted shipping time and the storage status information of each location in the three-dimensional warehouse includes determining the expected sales volume in the first preset period based on the historical sales data, determining the probability of the wound yarn package being shipped based on the expected sales volume and the production data, obtaining the shipping distance from each empty location in the three-dimensional warehouse to the shipping port, and determining the location corresponding to the shipping distance that matches the shipping probability as the first target location for the wound yarn package to be allocated.

[0046] In some embodiments, when the first preset period is 30 days, determining the expected sales volume of the FDY wound yarn package in the first preset period based on the historical sales data includes obtaining the historical sales data of the FDY wound yarn package in the first half of the year (the sales data can include the monthly sales volume of the FDY wound yarn package, the sales amount of the FDY wound yarn package, the sales route of the FDY wound yarn package, etc. in the first half of the year), performing data cleaning (i.e., removing outliers, missing values, error values, etc.) on the historical sales data to ensure the accuracy and reliability of the data, performing statistical analysis (the statistical analysis includes indicators such as mean value, median, number of groups, variance, standard deviation, etc.) on the processed historical sales data, and inputting the processed historical sales data into a prediction model to obtain the expected sales volume of the FDY wound yarn package for the next month output by the prediction model.

[0047] Here, the prediction model may be a linear regression model, an exponential smoothing model, a time series analysis model, etc. The above is only an exemplary description and does not limit all possible types of the prediction model, which are not enumerated here.

[0048] In some embodiments, for a certain type of wound package output by the prediction model, when the predicted sales volume in the first preset period is high and the production volume of that type of wound package is large, the probability that that type of wound package will be shipped is high, and the probability that it will be shipped in the near future is high. Also, for a certain type of wound package output by the prediction model, when the predicted sales volume in the first preset period is low and the production volume of that type of wound package is small, the probability that that type of wound package will be shipped is low, and the probability that it will be shipped in the near future is low.

[0049] For example, there are three lots of wound packages to be stocked in a certain factory, which are a POY wound package with lot number A420, an FDY wound package with lot number B420, and a DTY wound package with lot number C036 respectively. Based on the predicted sales volume and production data of the POY wound package with lot number A420, the FDY wound package with lot number B420, and the DTY wound package with lot number C036 respectively, determine the probability that the wound package will be shipped, that is, the probability that the POY wound package with lot number A420 will be shipped is 0.69, the probability that the FDY wound package with lot number B420 will be shipped is 0.21, and the probability that the DTY wound package with lot number C036 will be shipped is 0.96. Obtain a plurality of empty locations in the three-dimensional warehouse, that is, obtain location 101, location 207, location 603, and location 720. Here, the distance of location 101 from the shipping port is 100 meters, the distance of location 207 from the shipping port is 200 meters, the distance of location 603 from the shipping port is 600 meters, and the distance of location 720 from the shipping port is 700 meters. Determine location 101 as the first target location for the DTY wound package with lot number C036, determine location 207 as the first target location for the POY wound package with lot number A420, and determine location 720 as the first target location for the FDY wound package with lot number B420.

[0050] In this way, based on the probability of the winding package being shipped and the shipping distance of the empty location, a location can be reasonably stored for the winding package, thereby improving the shipping efficiency of the winding package and ultimately realizing intelligent warehouse management.

[0051] In some embodiments, determining the predicted sales volume in the first preset period based on historical sales data includes, when the historical sales data is the sales data in the same period of the previous year, setting the predicted sales volume as the sales data in the same period of the previous year × the growth rate of the Gross Domestic Product (GDP), or when the historical sales data is the average sales data of the previous year, setting the predicted sales volume as the average sales data of the previous year × the GDP growth rate.

[0052] Exemplarily, the data source of the management device for the production of the winding package stores the historical sales data of the FDY winding package with the lot number B420 in the past year. If the historical sales data is 20,000 and the historical average sales data is 25,000, when it is necessary to determine the predicted sales volume of the FDY winding package with the lot number B420 for the next year, the predicted sales volume of the FDY winding package with the lot number B420 for the next year will be 20,000 × the GDP growth rate, or the predicted sales volume of the FDY winding package with the lot number B420 for the next year will be 25,000 × the GDP growth rate.

[0053] In some embodiments, determining the predicted sales volume in the first preset period based on the historical sales data further includes, when the historical sales data is the sales data of the same period of the previous year, setting the predicted sales volume as the sales data of the same period of the previous year × Polyester Price Volatility (PPV), or when the historical sales data is the average sales data of the previous year, setting the predicted sales volume as the average sales data of the previous year × PPV fluctuation rate. Here, the PPV means the volatility of the polyester price. Polyester is the main raw material for manufacturing tereylene, which is one of the three major synthetic fibers and the chemical fiber with the largest production volume in the world.

[0054] Exemplarily, the data source of the management device for the production of winding packages stores the historical sales data of FDY winding packages with lot number B210 in the most recent half year, and the historical sales data is 8500, and the historical average sales data is 8000. If it is necessary to determine the predicted sales volume for the next year of the FDY winding package with lot number B210, the predicted sales volume for the next year of the FDY winding package with lot number B210 will be 8500 × PPV fluctuation rate, or the predicted sales volume for the next year of the FDY winding package with lot number B210 will be 8000 × PPV fluctuation rate.

[0055] In some embodiments, determining the predicted sales volume in the first preset period based on the historical sales data further includes, when the historical sales data is the sales data of the same period of the previous year, setting the predicted sales volume as the sales data of the same period of the previous year × Price Fluctuation Rate of Nylon (PFRN), or when the historical sales data is the average sales data of the previous year, setting the predicted sales volume as the average sales data of the previous year × PFRN fluctuation rate. Here, the PFRN means the price fluctuation rate of nylon. The PFRN measures the degree of price fluctuation of nylon and reflects the influence of factors such as market supply and demand relationship, policy control, and international trade on the nylon price.

[0056] Exemplarily, in the data source of the management device for package production, historical sales data of DTY packages with a lot number of C360 in the most recent half year is stored. Assuming that the historical sales data is 8800 and the historical average sales data is 8600, when it is necessary to determine the predicted sales volume of DTY packages with a lot number of C360 for the next year, the predicted sales volume of DTY packages with a lot number of C360 for the next year will be 8800×PFRN fluctuation rate, or the predicted sales volume of DTY packages with a lot number of C360 for the next year will be 8600×PFRN fluctuation rate.

[0057] In this way, the predicted sales volume of the winding package can be predicted based on the historical sales data of the winding package and the GDP growth rate. By predicting the probability and the shipping time of the winding package being shipped out from the predicted sales volume, it contributes to improving the shipping efficiency of the winding package.

[0058] In an embodiment of the present disclosure, in response to receiving a shipping request for a winding package having the lot number and quantity of the winding package to be shipped out, the winding package warehouse storage management method further includes obtaining the lot number, quantity, and storage status information of each location in the three-dimensional warehouse of the winding package to be shipped out, and determining at least one second target location that matches the quantity based on the storage status information of each location in the three-dimensional warehouse and the lot number and quantity of the winding package to be shipped out, where the second target location stores the winding package with the lot number, and sending a shipping task with the location of the second target location to the second stacker, and the second stacker executes the shipping task based on the location of the second target location, where the shipping task is used to instruct to take out the winding package from the second target location and transport it to the shipping port.

[0059] In an embodiment of the present disclosure, the shipping request for the wound package is sent by the warehouse management system to the second stacker. The wound package shipping request may include the type of the wound package to be shipped, the lot number of the wound package to be shipped, the number of the wound packages to be shipped, and other data of the wound package to be shipped. The above is only an exemplary description, and does not limit all possible contents included in the shipping request of the wound package, which will not be enumerated here.

[0060] Here, examples of the type of the wound package to be shipped include, but are not limited to, DTY, POY, and FDY.

[0061] In an embodiment of the present disclosure, the second target location is the location assigned for the shipping task of the wound package.

[0062] In an embodiment of the present disclosure, the shipping task is a task issued by the warehouse management system to a plurality of second stackers. The shipping task is a task of transporting the wound packages specified in the shipping request of the wound packages to the shipping port by a plurality of second stackers.

[0063] In some embodiments, an outbound request for a spool package sent from a warehouse management system is obtained. The outbound request for the spool package is to ship 100 FDY spool packages with a received lot number of B005 located at the third location on the tenth floor on the left side of aisle 20, and 150 DTY spool packages with a received lot number of A011 located at the seventeenth location on the twenty-first floor on the right side of aisle 70. Based on the storage status information of each location in the three-dimensional warehouse and the lot number and quantity of the spool packages to be shipped, at least one second target location that matches the quantity is determined, that is, the third location on the tenth floor on the left side of aisle 20 and the seventeenth location on the twenty-first floor on the right side of aisle 70. An outbound task with the position of the second target location is sent to the second stacker A, and the second stacker A transports 100 FDY spool packages with a lot number of B005 from the third location on the tenth floor on the left side of aisle 20 to the outbound port. At the same time, an outbound task with the position of the second target location is sent to the second stacker B, and the second stacker B transports 150 DTY spool packages with a lot number of A011 from the seventeenth location on the twenty-first floor on the right side of aisle 70 to the outbound port.

[0064] In this way, based on the outbound request for the spool package sent from the outbound management center, there is no need for the outbound management center to determine the second target location based on a huge amount of data. The warehouse management system can independently determine the location of the spool package to be shipped based on the outbound request for the spool package, which helps to quickly execute the outbound task of the spool package, and thus contributes to improving the efficiency of the spool package outbound.

[0065] In an embodiment of the present disclosure, the method for storing and managing winding packages in a warehouse further includes obtaining the storage status information of each location in the three-dimensional warehouse and the labels of the winding packages stored in the occupied locations during the period when no packages are to be shipped, predicting the predicted shipping time of each winding package stored in the occupied locations using a prediction model, determining the target winding packages that need to adjust their locations and the final locations of the target winding packages based on the predicted shipping times of the winding packages stored in the occupied locations and the storage status information of each location in the three-dimensional warehouse, and storing the target winding packages in their final locations.

[0066] In some embodiments, the period when no packages are to be shipped may be the period during which the stored winding packages have not been shipped. For example, if the incoming period of the DTY winding package with lot number A011 is November 1, 2023 and the shipping period is November 15, 2023, then the period when the DTY winding package with lot number A011 is not to be shipped is from November 2, 2023 to November 14, 2023. The period when no packages are to be shipped may also be the period when the winding packages are not in their normal shipping periods. For example, if the shipping time of the DTY winding package with lot number A011 is from 8:00 am to 6:00 pm on November 15, 2023, then the period when the DTY winding package with lot number A011 is not to be shipped is from 11:00 pm on November 14, 2023 to 2:00 am on November 15, 2023.

[0067] In some embodiments, the label of the stored winding package may be the number, label, two-dimensional code, etc. of the winding package.

[0068] In some embodiments, the occupied locations may refer to the locations where the winding packages are stored.

[0069] In some embodiments, the final location may refer to the location where the winding package is stored before being shipped.

[0070] In some embodiments, for a DTY wound package with lot number A011 located at location 901 in a certain factory, the predicted shipping time is from 8:00 to 18:00 tomorrow. Assume that location 901 is 900 meters away from the shipping outlet. To complete the shipping task and improve the efficiency of the shipping task, the DTY wound package with lot number A011 at location 901 is moved to the empty location 101 during the period when it is not being shipped. The empty location 101 is 100 meters away from the shipping outlet. In this way, the location for the wound package is flexibly allocated, contributing to the improvement of the shipping efficiency of the wound package.

[0071] In some embodiments, in a certain factory on November 1, 2023, two lots of wound packages were received. They are a DTY wound package with lot number A011 and an FDY wound package with lot number B205 respectively. Based on the production data and historical sales data of the DTY wound package with lot number A011 and the FDY wound package with lot number B205, the predicted shipping time of the DTY wound package with lot number A011 is November 5, 2023, and the predicted shipping time of the FDY wound package with lot number B205 is December 10, 2023. Based on the predicted shipping times of the DTY wound package with lot number A011 and the FDY wound package with lot number B205, the DTY wound package with lot number A011 is stored at location 201, and the FDY wound package with lot number B205 is stored at location 809. The actual shipping time of the DTY wound package with lot number A011 received by the warehouse management system on November 3, 2023, is November 17, 2023, and the actual shipping time of the FDY wound package with lot number B205 is November 7, 2023. Based on the latest shipping times, location 809 is determined as the final location for the DTY wound package with lot number A011, and location 201 is determined as the final location for the FDY wound package with lot number B205.

[0072] In this way, when the shipping request for the wound yarn package is not received or during the period when no shipping is carried out, the location of the stored goods can be adjusted, which is helpful for subsequent rapid shipping and contributes to the improvement of the shipping efficiency of the wound yarn package.

[0073] FIG. 3 is a schematic diagram showing obtaining the sales strategy of the first type of wound yarn package. As shown in FIG. 3, the method for storing and managing the wound yarn package in the warehouse further includes generating first prompt information in response to detecting that the length of time during which the first type of wound yarn package stored in the first location has not been shipped has reached a preset threshold, and outputting the first prompt information so that the warehouse management system formulates a sales strategy for the first type of wound yarn package based on the first prompt information.

[0074] In some embodiments, the first prompt information may include the warehousing time of the wound yarn package, the shipping time of the wound yarn package, and the storage time of the wound yarn package product. Exemplarily, the first prompt information is "the storage period of the wound yarn package is 8 months, and it is recommended to process the lot of wound yarn packages".

[0075] In some embodiments, the preset threshold is 6 months, 12 months, 15 months, etc. The preset threshold can be set and adjusted according to actual needs.

[0076] In some embodiments, the first type of wound yarn package is an in-stock wound yarn package having a storage time exceeding the preset threshold. The first type of wound yarn package may have been stored for a long time. Therefore, special attention needs to be paid to management and processing. In warehouse management, it is necessary to conduct regular physical inventories and sorting for the first type of wound yarn package, and conduct timely processing and sorting to avoid waste and losses.

[0077] In some embodiments, the sales strategy may include reducing the price of the first type of winding package, repackaging the first type of winding package, selling the first type of winding package in combination with other winding packages, and adding value-added services such as free shipping for the first type of winding package.

[0078] In this way, in response to detecting that the length of time that the first type of winding package stored in the first location has not been shipped has reached a preset threshold, the first prompt information is generated, and the warehouse management system outputs the first prompt information for formulating a sales strategy for the first type of winding package based on the first prompt information, which helps to process old goods in a timely manner and reduce losses.

[0079] FIG. 4 is a schematic diagram showing obtaining a production strategy for a second type of winding package. As shown in FIG. 4, the method for storing and managing a winding package warehouse further includes generating second prompt information based on the sales data and inventory status of the second type of winding package during a second preset period, and outputting the second prompt information by the warehouse management system for adjusting the production strategy for the second type of winding package based on the second prompt information.

[0080] In some embodiments, the second prompt information may include the warehousing time of the winding package, the shipping time of the winding package, the sales of the winding package product, and the type of the winding package. Exemplarily, the second prompt information is "the sales performance of the winding package is low, and it is proposed to adjust the production strategy".

[0081] In some embodiments, the second type of winding package is a winding package with a relatively low sales contract rate. Therefore, special attention needs to be paid to management and processing. In warehouse management, it is necessary to conduct regular inventory checks and sorting for the second type of winding package, and conduct timely processing and sorting to avoid waste and losses. In addition, it is necessary to adjust the production strategy of the second type of winding package.

[0082] In some embodiments, the production strategy can include reducing production volume, reducing production capacity, changing production lot numbers, and the like.

[0083] Thus, based on the sales data and inventory status of the second type of winding package during the second preset period, the second presentation information is generated, and the warehouse management system outputs the second presentation information for adjusting the production strategy for the second type of winding package based on the second presentation information, so that the production strategy of the winding package with relatively low transactions can be adjusted in a timely manner to reduce losses.

[0084] It should be understood that the schematic diagrams shown in FIGS. 2 and 3 are merely schematic and not restrictive, and the contents in the figures can be appropriately adjusted or changed according to work needs and will not be repeated here. Those skilled in the art can make various obvious changes and / or substitutions based on the examples in FIGS. 2 and 3, and the obtained solutions still belong to the disclosure scope of the embodiments of the present disclosure.

[0085] As shown in FIG. 5, an embodiment of the present disclosure provides a winding package warehouse storage management device applied to a warehouse management system, and the device includes a first acquisition module 510 for acquiring production data and historical sales data of the winding package in response to receiving a warehousing request for the winding package; an input module 520 for inputting the production data and the historical sales data into a prediction model to obtain the predicted warehousing time of the winding package output by the prediction model; an allocation module 530 for allocating a first target location for the winding package based on the predicted warehousing time and the storage status information of each location in the three-dimensional warehouse; a first transmission module 540 for sending a warehousing task with the position of the first target location to a first stacker, and the first stacker executes the warehousing task based on the position of the first target location, where the warehousing task is used to instruct to store the winding package at the first target location.

[0086] In some embodiments, when the predicted shipping time is within a first period, the allocation module 530 includes a first allocation sub-module for allocating a first target location for the wound package within a range of a first preset distance from the shipping port, and when the predicted shipping time is within a second period, a second allocation sub-module for allocating a first target location for the wound package within a range of a second preset distance from the shipping port. The first period is earlier than the second period, and at least some of the locations within the range of the first preset distance are closer to the shipping port than at least some of the locations within the range of the second preset distance.

[0087] In some embodiments, the allocation module 530 includes a first determination sub-module for determining an expected sales volume during a first preset period based on historical sales data, a second determination sub-module for determining the probability that the wound package will be shipped based on the expected sales volume and production data, an acquisition sub-module for acquiring the shipping distance from each available location in the three-dimensional warehouse to the shipping port, and a third determination sub-module for determining, as the first target location for the wound package to be allocated, the location corresponding to the shipping distance that matches the probability of shipping.

[0088] In some embodiments, when the historical sales data is the sales data of the same period of the previous year, the first determination sub-module is used to set the expected sales volume to the sales data of the same period of the previous year × GDP growth rate, or when the historical sales data is the average sales data of the previous year, the first determination sub-module is used to set the expected sales volume to the average sales data of the previous year × GDP growth rate.

[0089] In some embodiments, in response to receiving a shipping request for a winding package having a lot number and quantity of the winding packages to be shipped, the winding package warehouse storage management device further includes a second acquisition module (not shown in FIG. 5) for acquiring the lot number of the winding packages to be shipped, the quantity, and the storage status information of each location in the three-dimensional warehouse, and a first determination module (not shown in FIG. 5) for determining at least one second target location that matches the quantity based on the storage status information of each location in the three-dimensional warehouse, the lot number of the winding packages to be shipped, and the quantity, wherein the second target location stores the winding packages with the lot number, the first determination module, and a second determination module (not shown in FIG. 5) for transmitting a shipping task having the position of the second target location to the second stacker and for the second stacker to execute the shipping task based on the position of the second target location, wherein the shipping task is used to instruct to take out the winding packages from the second target location and transport them to the shipping port, the second determination module (not shown in FIG. 5).

[0090] In some embodiments, the winding package warehouse storage management device further includes the following: a third acquisition module (not shown in FIG. 5) for acquiring the storage status information of each location in the three-dimensional warehouse and the labels of the winding packages stored in the non-empty locations during the period when no shipping is performed, a prediction module (not shown in FIG. 5) for predicting the predicted shipping time of each winding package stored in the non-empty locations by a prediction model, a second determination module (not shown in FIG. 5) for determining the target winding packages that need to adjust the locations and the final locations of the target winding packages based on the predicted shipping time of each winding package stored in the non-empty locations and the storage status information of each location in the three-dimensional warehouse, and a storage module (not shown in FIG. 5) for storing the target winding packages in the final locations of the target winding packages.

[0091] In some embodiments, in response to detecting that the length of time that the first type of winding package stored in the first location has not been shipped has reached a preset threshold, the winding package warehouse storage management device further includes a first generation module (not shown in FIG. 5) for generating first presentation information, and a first output module (not shown in FIG. 5) for outputting the first presentation information so that the warehouse management system can formulate a sales strategy for the first type of winding package based on the first presentation information.

[0092] In some embodiments, the winding package warehouse storage management device further includes a second generation module (not shown in FIG. 5) for generating second presentation information based on the sales data and inventory status of the second type of winding package during a second preset period, and a second output module (not shown in FIG. 5) for outputting the second presentation information so that the warehouse management system can adjust the production strategy for the second type of winding package based on the second presentation information.

[0093] Those skilled in the art can understand the functions of the respective processing modules in the winding package warehouse storage management device according to the embodiments of the present disclosure by referring to the foregoing description of the winding package warehouse storage management method. Each processing module in the winding package warehouse storage management device according to the embodiments of the present disclosure can be realized by an analog circuit that realizes the functions according to the embodiments of the present disclosure, and can be realized by the operation of software on an electronic device that executes the functions according to the embodiments of the present disclosure.

[0094] The winding package warehouse storage management device according to the embodiments of the present disclosure can construct an intelligent warehouse management mechanism, which helps to realize the intelligent management of the warehousing tasks and shipping tasks of the winding packages, thereby contributing to the improvement of the efficiency of the warehousing and shipping of the winding packages.

[0095] According to the embodiments of the present disclosure, the present disclosure further provides an electronic device and a non-transitory computer-readable storage medium.

[0096] FIG. 6 is a structural block diagram of an electronic device according to an embodiment of the present disclosure. As shown in FIG. 6, the electronic device includes a memory 610 and a processor 620, and a computer program executable by the processor 620 is stored in the memory 610. The number of the memory 610 and the processor 620 may be one or more. The memory 610 can store one or more computer programs, and when the one or more computer programs are executed by the electronic device, the electronic device is caused to execute the method provided by the above method embodiment. The electronic device may further include the following. A communication interface 630 is used to communicate with an external device and perform data interaction and transmission.

[0097] When the memory 610, the processor 620, and the communication interface 630 are independently implemented, the memory 610, the processor 620, and the communication interface 630 are connected to each other via a bus and can communicate with each other. The bus may be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, or an EISA (Extended Industry Standard Architecture) bus, etc. The bus can be classified into an address bus, a data bus, a control bus, etc. For ease of explanation, only a single thick line is shown in FIG. 6, but it does not represent only a single bus or a single type of bus.

[0098] Optionally, in a specific implementation form, when the memory 610, the processor 620, and the communication interface 630 are integrated on one chip, the memory 610, the processor 620, and the communication interface 630 can communicate with each other via an internal interface.

[0099] The above-mentioned processor may be a Central Processing Unit (CPU), and it should be understood that it may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware assemblies, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc. Note that the processor may be a processor that supports the Advanced RISC Machines (ARM) architecture.

[0100] Furthermore, optionally, the memory may include a read-only memory and a random access memory, and may further include a non-volatile random access memory. The memory can be either a volatile memory or a non-volatile memory, or can include both a volatile memory and a non-volatile memory. Here, the non-volatile memory can include a ROM (Read-Only Memory), a PROM (Programmable ROM), an EPROM (Erasable PROM), an EEPROM (Electrically EPROM), or a flash memory. The volatile memory can include a random access memory (Random Access Memory, RAM) that functions as an external cache. By way of example and not limitation, many forms of RAM are available. For example, a static random access memory (Static RAM, SRAM), a dynamic random access memory (Dynamic Random Access Memory, DRAM), a synchronous DRAM (Synchronous DRAM, SDRAM), a double data rate SDRAM (Double Data Rate SDRAM, DDR SDRAM), an enhanced SDRAM (Enhanced SDRAM, ESDRAM), a synchlink DRAM (Synchlink DRAM, SLDRAM), and a direct RAMBUS RAM (Direct RAMBUS RAM, DR RAM).

[0101] In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, all or part of it may be implemented in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer instructions are loaded and executed on a computer, the process or function according to the embodiments of the present disclosure is generated in whole or in part. The computer may be a general-purpose computer, a dedicated computer, a computer network, or other programmable devices. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wire (such as coaxial cable, optical fiber, Digital Subscriber Line (DSL)) or wireless (such as infrared, Bluetooth®, microwave, etc.). The computer-readable storage medium may be any available medium accessible by a computer, or a data storage device including a server, data center, etc. integrated with one or more available media. The available medium may be a magnetic medium (such as a floppy (registered trademark) disk, hard disk, magnetic tape), an optical medium (such as a Digital Versatile Disc (DVD)), or a semiconductor medium (such as a Solid State Disk (SSD)), etc. It should be noted that the computer-readable storage medium referred to in the present disclosure may be a non-volatile storage medium, in other words, a non-transitory storage medium.

[0102] Those skilled in the art can understand that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, and the above storage medium may be a read-only memory, a magnetic disk, an optical disk, etc.

[0103] In the description of the embodiments of the present disclosure, the descriptions of reference terms such as "one embodiment", "some embodiments", "example", "specific example", or "some examples", etc. mean that the specific features, structures, materials, or features described in relation to the embodiment or example are included in at least one embodiment or example of the present disclosure. And the specific features, structures, materials, or features described can be combined in any one or more embodiments or examples in an appropriate manner. Furthermore, those skilled in the art may combine different embodiments or examples described in the present disclosure and the features of different embodiments or examples as long as they do not conflict with each other.

[0104] In the description of the embodiments of the present disclosure, " / " represents the meaning of "or" unless otherwise specified. For example, A / B may represent either A or B. The "and / or" in the present disclosure only explains the relationship of related objects and indicates that three types of relationships may exist. For example, A and / or B can indicate the following. There are three situations where A exists alone, A and B exist simultaneously, and B exists alone.

[0105] In the description of the embodiments of the present disclosure, the terms "first" and "second" are used only for the purpose of description and should not be construed as indicating or implying relative importance, nor should they be construed as implying the number of technical features shown. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of such features. In the description of the embodiments of the present disclosure, "a plurality" means two or more unless otherwise specified.

[0106] The above are only exemplary embodiments of the present disclosure, and do not limit the present disclosure. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present disclosure should all be included within the protection scope of the present disclosure.

[0107] In the description of this specification, terms such as "center", "longitudinal direction", "lateral direction", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", "axial direction", "radial direction", "circumferential direction", etc. indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, and are only intended to facilitate the description of the present disclosure and simplify the description, and do not indicate or imply that the mentioned device or element must have a specific orientation, be configured and operate in a specific orientation, and therefore should not be construed as a limitation of the present disclosure.

Claims

1. A yarn package warehouse storage management method applied to a warehouse management system, comprising: In response to receiving a request to stock the wound yarn package, obtaining production data and historical sales data for the wound yarn package; inputting the production data and the historical sales data into a prediction model to obtain a predicted delivery time of the wound yarn package output by the prediction model; assigning a first target location for the wound yarn package based on the predicted delivery time and storage status information for each location of the multi-level warehouse; sending a put-in task having a position of the first target location to a first stacker, the first stacker executing the put-in task based on the position of the first target location, the put-in task being used to instruct the yarn package to be stored at the first target location. Warehouse storage management method for wound yarn packages.

2. Allocating a first target location for the wound yarn package based on the predicted delivery time and storage status information of each location of the multi-level warehouse includes: assigning the first target location for the yarn package within a first preset distance from an outlet if the predicted output time is within a first time period; assigning the first target location for the yarn package within a second preset distance from an outlet if the predicted output time is within a second time period; the first time period is earlier than the second time period, and at least some locations within the first preset distance range are closer to the exit port than at least some locations within the second preset distance range; A method for warehousing and managing wound yarn packages according to claim 1.

3. Allocating a first target location for the wound yarn package based on the predicted delivery time and storage status information of each location of the multi-level warehouse includes: determining an expected sales volume for a first preset time period based on the historical sales data; determining a probability that the yarn package will be delivered based on the expected sales volume and the production data; Obtaining a delivery distance from each vacant location of the multi-story warehouse to a delivery port; determining a location corresponding to the leaving distance that matches the leaving probability as a first target location for the yarn package to be assigned; A method for warehousing and managing wound yarn packages according to claim 1.

4. determining an expected sales volume for a first preset time period based on the historical sales data; If the historical sales data is sales data for the same period of the previous year, the forecasted sales volume is the sales data for the same period of the previous year multiplied by a GDP growth rate; or If the historical sales data is average sales data from the previous year, the forecasted sales volume is calculated as the average sales data from the previous year multiplied by a GDP growth rate. A method for warehousing and managing wound yarn packages according to claim 3.

5. The method for managing a wound yarn package warehouse comprises: In response to receiving a request for shipping a yarn package having a lot number and a quantity of the yarn package to be shipped, acquiring the lot number and quantity of the yarn package to be shipped and storage status information of each location of the multi-story warehouse; determining at least one second target location that matches the quantity based on storage status information of each location of the multi-story warehouse and the lot number and quantity of the wound yarn package to be shipped, wherein the second target location stores the wound yarn package with the lot number; sending an out-of-stock task having a position of the second target location to a second stacker, and the second stacker executing the out-of-stock task based on the position of the second target location, the out-of-stock task being used to instruct the second stacker to pick up a wound yarn package from the second target location and transport it to an out-of-stock port; A method for warehousing and managing wound yarn packages according to claim 1.

6. The method for managing a wound yarn package warehouse comprises the steps of: During a period when the yarn is not being shipped out, acquiring storage status information of each location of the multi-story warehouse and identification of wound yarn packages stored in non-vacant locations; predicting a predicted release time for each wound yarn package stored in the non-empty locations using the prediction model; determining a target wound yarn package whose location needs to be adjusted and a final location of the target wound yarn package based on a predicted delivery time of each wound yarn package stored in the non-vacant locations and storage status information of each location of the multi-level warehouse; storing the target wound yarn package in a final location of the target wound yarn package. A method for warehousing and managing wound yarn packages according to claim 1.

7. The method for managing a wound yarn package warehouse comprises the steps of: generating a first indication in response to detecting that a time period during which a first type of yarn package stored at a first location has not been dispensed reaches a preset threshold; and outputting the first submitted information so that the warehouse management system can formulate a sales strategy for the first type of wound yarn package based on the first submitted information. A method for warehousing and managing wound yarn packages according to claim 1.

8. The method for managing a wound yarn package warehouse comprises the steps of: generating second presentation information based on sales data and inventory status of the second type of wound yarn package during a second preset period; and outputting the second recommendation information so that the warehouse management system can adjust a production strategy for the second type of wound yarn package based on the second recommendation information. A method for warehousing and managing wound yarn packages according to claim 1.

9. A yarn package warehouse storage management device applied to a warehouse management system, comprising: a first acquisition module for acquiring production data and historical sales data of the wound yarn package in response to receiving an inventory request for the wound yarn package; an input module for inputting the production data and the historical sales data into a forecasting model to obtain a forecasted delivery time for the wound yarn package output by the forecasting model; an allocation module for allocating a first target location for the yarn package based on the predicted delivery time and storage status information of each location of the warehouse; a first transmission module for transmitting a put-in task having a position of the first target location to a first stacker, the put-in task being used to instruct the first stacker to store the wound yarn package in the first target location, and for the first stacker to execute the put-in task based on the position of the first target location, the put-in task being used to instruct the first stacker to store the wound yarn package in the first target location. Yarn package warehouse storage management device.

10. At least one processor; a memory in communication with the at least one processor; The memory stores instructions executable by the at least one processor, the instructions, when executed by the at least one processor, causing the at least one processor to perform a method according to any one of claims 1 to 8. Electronic devices.

11. A non-transitory computer readable storage medium for storing instructions that cause a computer to perform the method of any one of claims 1 to 8.

12. A program for implementing the method according to any one of claims 1 to 8 when executed by a processor in a computer.

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