Wound yarn package warehouse storage management method, apparatus, 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] This invention relates to the field of intelligent technology in chemical fiber production, and in particular to a method and device for managing the storage of wound yarn packages in a warehouse. [Background technology]

[0002] In the chemical fiber production field, multi-story warehouses have advantages such as high space utilization rate and high degree of automation, so they are widely used in factories for packaging wound yarn. Summary of the Invention [Problem to be solved by the invention]

[0003] After the yarn package packaging process is completed, the wrapped yarn packages are stored in a multi-level warehouse. However, because the production and sales volumes of different yarn packages vary, it is difficult to realize intelligent management of the multi-level warehouse. Therefore, how to realize an intelligent warehouse management mechanism that improves the efficiency of the shipping and receiving tasks of yarn packages has become a technical problem that needs to be solved as soon as possible. [Means for solving the problem]

[0004] The present disclosure provides a wound yarn package warehousing management method, apparatus, electronic device, storage medium, and program.

[0005] According to a first aspect of the present disclosure, there is provided a wound yarn package warehousing management method applied to a warehouse management system, the method 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 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 in the multi-level warehouse; sending an inventory task having a position of a first target location to a first stacker, and the first stacker executing the inventory task based on the position of the first target location, wherein the inventory task is used to instruct the winding package to be stored at the first target location.

[0006] According to a second aspect of the present disclosure, there is provided a wound yarn package warehousing management device applied to a warehouse management system, the device 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 production data and historical sales data into the 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 wound yarn package based on the predicted delivery time and storage status information of each location of the multi-level warehouse; and a first sending module for sending an warehousing task having a position of a first target location to a first stacker, and for the first stacker to execute the warehousing task based on the position of the first target location, the warehousing task being used to instruct the winding yarn package to be stored at the first target location.

[0007] According to a third aspect of the present disclosure, there is provided an electronic device, the device comprising: at least one processor; a memory communicatively coupled to the at least one processor; The memory stores instructions executable by the at least one processor, which, when executed by the at least one processor, cause the implementation of 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 perform 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] The technology disclosed herein can establish an intelligent warehouse management mechanism, which helps realize intelligent management of the inbound and outbound tasks of wound yarn packages, thereby contributing to improving the efficiency of inbound and outbound shipping of wound yarn packages.

[0011] It should be understood that the contents described herein are not intended to describe key or important features of the embodiments of the present disclosure, nor are they intended to limit the scope of the present disclosure. Other features of the present disclosure will be better understood through the following specification. [Brief explanation of the drawings]

[0012] These and other features, advantages, and aspects of the embodiments of the present disclosure will become more apparent from the following detailed description taken in conjunction with the drawings in which like or similar reference numerals represent like or similar elements.

[0013] [Figure 1] 1 is a flowchart of a wound yarn package warehousing management method according to an embodiment of the present disclosure. [Figure 2] FIG. 1 is a schematic diagram of assigning a first target location for a wound yarn package according to an embodiment of the present disclosure. [Figure 3] 1 is a schematic diagram illustrating a method for acquiring a sales strategy for a first type wound yarn package according to an embodiment of the present disclosure. [Figure 4] FIG. 10 is a schematic diagram of obtaining a production strategy for a second type wound yarn package according to an embodiment of the present disclosure. [Figure 5]1 is a schematic diagram illustrating the configuration of a wound yarn package warehouse storage management device according to an embodiment of the present disclosure. [Figure 6] FIG. 1 is a block diagram of an electronic device for implementing a wound yarn package warehousing management method according to an embodiment of the present disclosure. DETAILED DESCRIPTION OF THE INVENTION

[0014] Hereinafter, exemplary embodiments of the present disclosure will be described with reference to the drawings. Various details of the embodiments of the present disclosure are included herein for ease of understanding and 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 will be omitted for clarity and conciseness.

[0015] The terms "first," "second," "third," etc. in the examples and claims of the specification of this disclosure and in the above-mentioned drawings are intended to distinguish between similar objects without necessarily being used to describe a particular order or priority. Furthermore, the terms "comprise" and "have" and variations thereof are intended to be non-exclusive inclusions, e.g., inclusion of a series of steps or units. Methods, systems, products, or devices need not be limited to the explicitly recited steps or units, but may include other steps or units not explicitly recited or inherent to these processes, methods, products, or devices.

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

[0017] Multi-story warehouses, also known as high-rise warehouses or high-bay warehouses, are warehouses that store unit cargo in racks that are several stories high, or even several dozen stories high, and use corresponding material handling equipment to carry out cargo loading and unloading operations.The warehouse itself consists of racks, aisle stacker aisles, loading and unloading work tables, and automatic loading and unloading and operation control systems.

[0018] In a related technology, in a chemical industry production factory that packages spools of yarn, once the packaging process for spools of yarn is completed, a stacker is used to store the wrapped spools of yarn in a multi-story warehouse. Also known as a high-rise warehouse or high-bay warehouse, this refers to a warehouse in which unit cargo is stored on racks that are several stories high, or even up to several dozen stories high, and where cargo is transported in and out of the warehouse using corresponding material handling equipment.

[0019] In related art, after wrapping yarn packages into wound yarn packages is completed, the wrapped yarn packages are transported to a multi-story warehouse for storage. However, because different yarn packages have different production and sales volumes, it is difficult to realize intelligent management of the multi-story warehouse. Management of the multi-story warehouse includes inventory management and shipping management. For inventory management, the sales volume of the received yarn packages can affect the shipping time of the received yarn packages. If a yarn package with a high sales volume is stored in a location far from the shipping position, it will lead to a decrease in the shipping efficiency of the yarn packages.

[0020] This disclosure proposes a method and apparatus for managing the storage of wound yarn packages to at least partially solve one or more of the above problems and other potential problems. Establishing an intelligent warehouse management mechanism helps realize intelligent management of the inbound and outbound tasks of wound yarn packages, and helps improve the efficiency of inbound and outbound yarn packages.

[0021] An embodiment of the present disclosure provides a wound yarn package warehousing management method applied to a warehouse management system. FIG. 1 is a schematic diagram of a flowchart of the wound yarn package warehousing management method according to the embodiment of the present disclosure. The wound yarn package warehousing management device is installed on an electronic device in the warehouse management system. In several possible implementations, the wound yarn package warehousing management method can also be implemented by a processor calling computer-readable instructions stored in a memory. As shown in FIG. 1, the wound yarn package storage management method includes:

[0022] In S101, in response to receiving a request to stock a wound yarn package, production data and historical sales data of the wound yarn package are acquired.

[0023] In S102, the production data and historical sales data are input into the prediction model, and the predicted delivery time of the wound yarn package is output by the prediction model.

[0024] In S103, a first target location for the wound yarn package is assigned based on the predicted delivery time and storage status information of each location in the multi-story warehouse.

[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, and the storage task is used to instruct the winding yarn package to be stored in the first target location.

[0026] In an embodiment of the present disclosure, the yarn package receiving request is transmitted to the warehouse management system by a yarn package production management device. The yarn package receiving request may include the type of yarn package to be received, the lot number of the yarn package to be received, the number of yarn packages to be received, other data of the yarn package to be received, etc. The above is merely an exemplary description, and does not limit or enumerate all possible contents that may be included in the yarn package receiving request.

[0027] Here, the main types of filaments according to the embodiments of the present disclosure may include one or more of partially oriented yarns (POY), fully drawn yarns (FDY), drawn textured yarns (DTY) (or low modulus filaments), etc. For example, specific types of filaments include polyester partially oriented yarns (POY), polyester fully drawn yarns (FDY), polyester drawn yarns (PDY), polyester drawn textured yarns (DTY), polyester staple fiber (PSF), etc.

[0028] In an embodiment of the present disclosure, the warehouse management system (WMS) is a system specialized for warehouse management, with efficient task execution and process planning strategies at its core, and can significantly improve work efficiency and resource utilization by cooperating with location management, barcode / QR code (registered trademark) management, and warehouse automation equipment.

[0029] In the embodiment of the present disclosure, the warehouse management system can provide functions such as incoming management, outgoing management, transfer management, inventory adjustment, and barcode printing, and can handle product lot management, expiration date management, multi-packaging specifications, multi-packaging barcodes, etc., thereby realizing complete warehouse logistics information management.

[0030] In an embodiment of the present disclosure, the production data may include the number of a certain type of wound yarn package produced, the production efficiency of a certain type of wound yarn package, the production time length of a certain type of wound yarn package, etc. The above is merely an exemplary description and does not limit or enumerate all possible contents that may be included in the production data.

[0031] In the embodiments of the present disclosure, the historical sales data refers to sales-related data for a certain type of yarn package over a certain period of time, including, but not limited to, sales volume of a certain type of yarn package, sales volume of a certain type of yarn package, sales channels of a certain type of yarn package, etc. In addition, other auxiliary tools can be used to analyze the historical sales data for a certain type of yarn package, such as data visualization, trend analysis, data mining, etc.

[0032] In some embodiments, the historical sales data may be obtained by a management device that produces wound yarn packages, or may be obtained from a data source that stores wound yarn package data. The above is an exemplary description only, and not a complete list of all possible ways in which historical sales data may be obtained.

[0033] In an embodiment of the present disclosure, the warehouse management system can communicate with a management device that produces wound yarn packages and a stacker. When the warehouse management system communicates with the management device that produces wound yarn packages, the management device that produces wound yarn packages can send production data and historical sales data of the wound yarn 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 yarn packages to the management device that produces the wound yarn packages. When the warehouse management system communicates with the stacker, the warehouse management system can send tasks to be performed and task data to the stacker, and the stacker can send the task completion status to the warehouse management system. In this way, intelligence can be enhanced from wound yarn package production to wound yarn package storage, contributing to improved efficiency in wound yarn package production and in the storage and retrieval of wound yarn 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 prediction model can be trained by obtaining production data and historical sales data for a certain type of yarn package for a first period, inputting the production data and historical sales data for the certain type of yarn package for the first period into a preset model to obtain a sales forecast value for the certain type of yarn package for a second period, constructing a loss function based on the sales forecast value for the second period and the true sales value for the second period, and training the preset model based on the loss function to obtain a prediction model. Here, the first period is earlier than the second period.

[0035] In some embodiments, the predicted shipping time can be determined based on manufacturing and sales data for the yarn package. If a certain type of yarn package is produced in large quantities and sells well, the predicted shipping time for that type of yarn package will be earlier. If a certain type of yarn package is produced in small quantities and sells poorly, the predicted shipping time for that type of yarn package will be later.

[0036] In some embodiments, the storage status information may include the yarn packages stored at the location, the yarn packages not yet stored at the location, the lot numbers of the yarn packages stored at the location, the number of yarn packages stored at the location, the types of yarn packages stored at the location, etc. The above is merely an exemplary description and is not intended to limit or enumerate all possible captures that may be included in the storage status information.

[0037] In some embodiments, the first target location is a location assigned for a yarn package stocking task.

[0038] In an embodiment of the present disclosure, the stacker is an important transportation equipment in a multi-story warehouse. The stacker can automatically, quickly, and accurately load and unload cargo within the multi-story warehouse, thereby improving warehouse utilization and work efficiency. The main components of the stacker include forks for picking up, transporting, and stacking cargo in a warehouse or workshop, a platform for placing the cargo, a lifting mechanism for lifting and lowering the cargo, a traveling mechanism for moving the stacker within the warehouse, and a control system for controlling the various operations and movements of the stacker. The forks can be electrically or hydraulically driven and can extend and rotate as needed. The platform can be made of a steel or aluminum alloy structure with sufficient support capacity and stability. The lifting mechanism can be electrically or hydraulically driven and is characterized by high precision, stability, and reliability. The traveling mechanism can be a wheeled or tracked structure and is characterized by high movement speed and stable operation. The control system can use a control device such as a PLC or single-chip, and is characterized by a high degree of automation and easy operation.

[0039] In an embodiment of the present disclosure, the receiving task can refer to transporting a yarn package from a production line to a designated location in a multi-story warehouse, or can refer to transporting a yarn package from one location in a multi-story warehouse to another location in a multi-story warehouse. To facilitate the retrieval of yarn packages of the same lot, multiple yarn packages of the same lot are stored in multiple locations when receiving yarn packages of the same lot, and the multiple locations are within a certain distance from each other.

[0040] In response to receiving a request for receiving a yarn package, the technical solution of the embodiment of the present disclosure includes: acquiring production data and historical sales data for the yarn package; inputting the production data and historical sales data into a prediction model to obtain a predicted delivery time for the yarn package output by the prediction model; assigning a first target location for the yarn package based on the predicted delivery time and storage status information for each location in the multi-story warehouse; sending a receiving task having the location of the first target location to a first stacker; causing the first stacker to execute the receiving task based on the location of the first target location; and instructing the receiving task to store the yarn package in the first target location. In this way, when receiving a yarn package, the predicted delivery time for the yarn package is predicted using the prediction model, and the first target location is assigned based on the predicted delivery time, which helps to quickly complete the subsequent delivery of the yarn package and contributes to improving delivery efficiency. Furthermore, assigning a first target location for each yarn package to be received based on the predicted delivery time improves the rationality and effectiveness of inventory management.

[0041] 2 is a schematic diagram illustrating the allocation of first target locations for wound yarn packages. As shown in FIG. 2, allocating first target locations for wound yarn packages based on the predicted delivery time and storage status information for each location in the multi-story warehouse includes: allocating the first target locations for wound yarn packages within a first preset distance range from the delivery outlet when the predicted delivery time is within a first time period; and allocating the first target locations for wound yarn packages within a second preset distance range from the delivery outlet when the predicted delivery time is within a second time period, wherein the first time period is earlier than the second time period, and at least some of the locations within the first preset distance range are closer to the delivery outlet than at least some of the locations within the second preset distance range.

[0042] In some embodiments, the yarn package whose predicted release time is within a first time period is a yarn package that will be released sooner, and the yarn package whose predicted release time is within a second time period is a yarn package that will be released slower. The first preset distance range is a relatively short distance range from the release opening, and the second preset distance range is a relatively long distance range from the release opening.

[0043] In some examples, if the first period is within 10 days and the second period is after 10 days, there are two lots of wound yarn packages that need to be delivered to the second factory on November 20, 2023, namely, a POY wound yarn package with lot number A011 and an FDY wound yarn package with lot number B016. In response to receiving an inventory request for the POY wound yarn package with lot number A011 and the FDY wound yarn package with lot number B016, the production data and historical sales data for the POY wound yarn package with lot number A011 and the FDY wound yarn package with lot number B016 are obtained, and the production data and historical sales data for the POY wound yarn package with lot number A011 and the FDY wound yarn package with lot number B016 are input into a prediction model, respectively, to obtain the predicted shipping times for the wound yarn packages output by the prediction model, i.e., the predicted shipping time for the POY wound yarn package with lot number A011 is 8:00 AM to 8:00 PM on November 22, 2023, and the predicted shipping time for the FDY wound yarn package with lot number B016 is 8:00 AM to 6:00 PM on December 2, 2023. The predicted delivery time for the POY wound yarn package with lot number A011 is in the first period, and a location 100 meters away from the delivery entrance is assigned for the POY wound yarn package with lot number A011. The predicted delivery time for the FDY wound yarn package with lot number B016 is in the second period, and a location 1000 meters away from the delivery entrance is assigned for the FDY wound yarn 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 is possible to allocate a rational location for the wound yarn package to be stored, which contributes to improving 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 delivery time and storage status information for each location in the multi-story warehouse includes determining an expected sales volume for a first preset period based on historical sales data, determining a probability that the wound yarn package will be delivered based on the expected sales volume and production data, obtaining an delivery distance from each empty location in the multi-story warehouse to an exit port, and determining a location corresponding to the delivery distance that matches the delivery probability as the first target location for the allocated wound yarn package.

[0046] In some embodiments, if the first preset period is 30 days, determining the expected sales volume of the FDY wound yarn package for the first preset period based on the historical sales data may include obtaining historical sales data for the FDY wound yarn package for the first half of the year (the sales data may include monthly sales volume of the FDY wound yarn package, sales amount of the FDY wound yarn package, sales channels of the FDY wound yarn package, etc. for the first half of the year), performing data cleaning on the historical sales data (i.e., removing outliers, missing values, error values, etc.) to ensure the accuracy and reliability of the data, performing statistical analysis on the processed historical sales data (the statistical analysis includes indicators such as mean, median, number of groups, variance, standard deviation, etc.), 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 forecasting 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 is not limiting and will not be listed here for all possible types of forecasting models.

[0048] In some embodiments, if the forecasted sales volume of a certain type of yarn package output by the forecasting model in the first preset period is high and the production volume of that type of yarn package is large, the probability that that type of yarn package will be shipped is high and the probability that it will be shipped in the near future is also high. Conversely, if the forecasted sales volume of a certain type of yarn package output by the forecasting model in the first preset period is low and the production volume of that type of yarn package is small, the probability that that type of yarn package will be shipped is low and the probability that it will be shipped in the near future is also low.

[0049] For example, a factory has three lots of wound yarn packages to be stocked: a POY wound yarn package with lot number A420, an FDY wound yarn package with lot number B420, and a DTY wound yarn package with lot number C036. Based on the expected sales volume and production data for the POY wound yarn package with lot number A420, the FDY wound yarn package with lot number B420, and the DTY wound yarn package with lot number C036, respectively, the probability that the wound yarn packages will be shipped is determined. That is, the probability that the POY wound yarn package with lot number A420 will be shipped is 0.69, the probability that the FDY wound yarn package with lot number B420 will be shipped is 0.21, and the probability that the DTY wound yarn package with lot number C036 will be shipped is 0.96. Several vacant locations in the multi-story warehouse are obtained, namely, location 101, location 207, location 603, and location 720. Here, location 101 is 100 meters from the outlet, location 207 is 200 meters from the outlet, location 603 is 600 meters from the outlet, and location 720 is 700 meters from the outlet. Location 101 is determined as the first target location for the DTY wound yarn package with lot number C036, location 207 is determined as the first target location for the POY wound yarn package with lot number A420, and location 720 is determined as the first target location for the FDY wound yarn package with lot number B420.

[0050] In this way, locations can be rationally reserved for wound yarn packages based on the probability of the wound yarn package being delivered and the delivery distance of an empty location, thereby improving the delivery efficiency of wound yarn packages and ultimately realizing intelligent warehouse management.

[0051] In some embodiments, determining the expected sales volume for the first preset time period based on the historical sales data includes, if the historical sales data is sales data for the same period of the previous year, setting the expected sales volume as the sales data for the same period of the previous year multiplied by a Gross Domestic Product (GDP) growth rate; or, if the historical sales data is average sales data for the previous year, setting the expected sales volume as the average sales data for the previous year multiplied by a GDP growth rate.

[0052] For example, if the data source of a wound yarn package production management device stores historical sales data for the past year for an FDY wound yarn package with lot number B420, and the historical sales data is 20,000 and the historical average sales data is 25,000, and it is necessary to determine the expected sales volume for next year of the FDY wound yarn package with lot number B420, the expected sales volume for next year of the FDY wound yarn package with lot number B420 will be 20,000 x GDP growth rate, or alternatively, the expected sales volume for next year of the FDY wound yarn package with lot number B420 will be 25,000 x GDP growth rate.

[0053] In some embodiments, determining the expected sales volume for the first preset period based on the historical sales data further includes, if the historical sales data is sales data from the same period of the previous year, calculating the expected sales volume by multiplying the sales data from the same period of the previous year by the polyester price volatility (PPV); or, if the historical sales data is average sales data from the previous year, calculating the expected sales volume by multiplying the average sales data from the previous year by the PPV volatility, where PPV refers to the volatility of polyester prices. Polyester is the main raw material used to produce terylene, which is one of the three major synthetic fibers and the chemical fiber with the largest production volume in the world.

[0054] For example, if the data source of a wound yarn package production management device stores historical sales data for the most recent six months for an FDY wound yarn package with lot number B210, and the historical sales data is 8500 and the historical average sales data is 8000, then when it is necessary to determine next year's expected sales volume for the FDY wound yarn package with lot number B210, the expected sales volume for next year for the FDY wound yarn package with lot number B210 will be 8500 x PPV fluctuation rate, or alternatively, the expected sales volume for next year for the FDY wound yarn package with lot number B210 will be 8000 x PPV fluctuation rate.

[0055] In some embodiments, determining the expected sales volume for the first preset period based on the historical sales data further includes, if the historical sales data is sales data for the same period of the previous year, calculating the expected sales volume by multiplying the sales data for the same period of the previous year by the price fluctuation rate of nylon (Price Fluctuation Rate of Nylon (PFRN)); or, if the historical sales data is average sales data for the previous year, calculating the expected sales volume by multiplying the average sales data for the previous year by the PFRN fluctuation rate. Here, PFRN refers to the price fluctuation rate of nylon. PFRN measures the degree of fluctuation in nylon prices and reflects the impact of factors such as market supply and demand, policy control, and international trade on nylon prices.

[0056] For example, if the data source of a management device for wound yarn package production stores historical sales data for a DTY wound yarn package with lot number C360 for the most recent six months, and the historical sales data is 8800 and the historical average sales data is 8600, when it is necessary to determine the expected sales volume for next year of the DTY wound yarn package with lot number C360, the expected sales volume for next year of the DTY wound yarn package with lot number C360 will be 8800 x PFRN fluctuation rate, or alternatively, the expected sales volume for next year of the DTY wound yarn package with lot number C360 will be 8600 x PFRN fluctuation rate.

[0057] In this way, the expected sales volume of a wound yarn package can be predicted based on the historical sales data of the wound yarn package and the GDP growth rate, and the probability and time of shipping the wound yarn package can be predicted from the expected sales volume, which contributes to improving the shipping efficiency of the wound yarn package.

[0058] In an embodiment of the present disclosure, the wound yarn package warehouse storage management method further includes: in response to receiving an outbound request for a wound yarn package having the lot number and quantity of the wound yarn package to be outbound, acquiring the lot number and quantity of the wound yarn package to be outbound and storage status information for each location in the multi-story warehouse; determining at least one second target location that matches the quantity based on the storage status information for each location in the multi-story warehouse and the lot number and quantity of the wound yarn package to be outbound, wherein the wound yarn package with the lot number is stored in the second target location; sending an outbound task having the position of the second target location to a second stacker, and the second stacker executing the outbound task based on the position of the second target location, wherein the outbound task is used to instruct the wound yarn package to be removed from the second target location and transported to an outbound port.

[0059] In an embodiment of the present disclosure, the request for shipping the winding package is transmitted to the second stacker by the warehouse management system. The request for shipping the winding package may include the type of the winding package to be shipped, the lot number of the winding package to be shipped, the number of the winding package to be shipped, other data of the winding package to be shipped, etc. The above is merely an exemplary description and is not intended to limit or enumerate all possible contents that may be included in the request for shipping a winding package.

[0060] Here, the types of wound yarn packages 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 a location assigned for a yarn package delivery task.

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

[0063] In some embodiments, a request for shipping a wound yarn package is received from the warehouse management system, and the request for shipping a wound yarn package is to ship 100 FDY wound yarn packages with lot number B005 stored in the third location on the tenth floor on the left side of aisle 20, and 150 DTY wound yarn packages with lot number A011 stored in the 17th location on the twenty-first floor on the right side of aisle 70. Based on the storage status information of each location in the multi-story warehouse and the lot number and quantity of the wound yarn packages to be shipped, at least one second target location that matches the quantity is determined, i.e., the third location on the tenth floor on the left side of aisle 20 and the 17th location on the twenty-first floor on the right side of aisle 70. An outgoing task with the position of the second target location is sent to the second stacker A, and the second stacker A transports 100 FDY wound yarn packages with lot number B005 from the third location on the 10th floor on the left side of aisle 20 to the outgoing exit, and an outgoing task with the position of the second target location is sent to the second stacker B, and the second stacker B transports 150 DTY wound yarn packages with lot number A011 from the 17th location on the 21st floor on the right side of aisle 70 to the outgoing exit.

[0064] In this way, the shipping management center does not need to determine a second target location based on a huge amount of data based on a request to ship a wound yarn package sent from the shipping management center, and the warehouse management system can independently determine the location of the wound yarn package to be shipped based on the request to ship a wound yarn package, which helps to quickly execute the shipping task of the wound yarn package and ultimately contributes to improving the efficiency of shipping wound yarn packages.

[0065] In an embodiment of the present disclosure, the wound yarn package warehouse storage management method further includes: during a period when no yarn is being shipped, acquiring storage status information for each location in the multi-story warehouse and an indication of the wound yarn package stored in an unavailable location; predicting a predicted shipping time for each wound yarn package stored in an unavailable location using a prediction model; determining a target wound yarn package and a final location of the target wound yarn package whose location needs to be adjusted based on the predicted shipping time for each wound yarn package stored in an unavailable location and the storage status information for each location in the multi-story warehouse; and storing the target wound yarn package in the final location of the target wound yarn package.

[0066] In some embodiments, the non-shipping period may be a period during which the stored wound yarn package is not shipped. For example, if the storage period for a DTY wound yarn package with lot number A011 is November 1, 2023, and the shipping period is November 15, 2023, the non-shipping period for the DTY wound yarn package with lot number A011 is from November 2, 2023 to November 14, 2023. The non-shipping period may also be a period during which the wound yarn package is not normally shipped. For example, if the shipping time for the DTY wound yarn package with lot number A011 is from 8:00 AM to 6:00 PM on November 15, 2023, the non-shipping period for the DTY wound yarn package with lot number A011 is from 11:00 PM on November 14, 2023 to 2:00 AM on November 15, 2023.

[0067] In some embodiments, the stored yarn package identification may be a yarn package number, label, two-dimensional code, or the like.

[0068] In some embodiments, the non-empty location may refer to a location where a spool package is stored.

[0069] In some embodiments, the final location may refer to a location where the pre-wound yarn package to be shipped is stored.

[0070] In some embodiments, a factory may estimate that the expected delivery time for a DTY wound yarn package with lot number A011 in location 901 is between 8:00 and 18:00 tomorrow, and location 901 is 900 meters away from the delivery entrance. To complete the delivery task and improve the efficiency of the delivery task, the DTY wound yarn package with lot number A011 in location 901 is moved to an empty location 101 during periods when the package is not being delivered, and this empty location 101 is 100 meters away from the delivery entrance. In this way, flexible allocation of locations for wound yarn packages contributes to improving the delivery efficiency of wound yarn packages.

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

[0072] In this way, when a request for shipping a wound yarn package has not been received or during a period when no shipping is being performed, the location of the stored cargo can be adjusted, which helps to speed up subsequent shipping and contributes to improving the efficiency of shipping wound yarn packages.

[0073] 3 is a schematic diagram illustrating obtaining a sales strategy for a first type of wound yarn package. As shown in FIG. 3, the yarn package warehousing management method further includes generating first suggestion information in response to detecting that a time length during which the first type of wound yarn package stored at the first location has not been released reaches a preset threshold, and outputting the first suggestion information to the warehouse management system so that the warehouse management system can formulate a sales strategy for the first type of wound yarn package based on the first suggestion information.

[0074] In some embodiments, the first recommendation information may include the time of receipt of the yarn package, the time of delivery of the yarn package, and the storage time of the yarn package product. For example, the first recommendation information may be "The storage period of the yarn package is 8 months, and it is recommended to process the yarn package of the lot."

[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 yarn package is an inventory yarn package with a storage time exceeding a preset threshold. The first type of yarn package may have been stored for a long period of time and therefore requires special attention for management and disposal. In warehouse management, the first type of yarn package must be periodically inventoried and organized, and processed and organized in a timely manner to avoid waste and loss.

[0077] In some embodiments, the sales strategy may include discounting the first type of yarn package, repackaging the first type of yarn package, bundling the first type of yarn package with other yarn packages, or adding value-added services such as free shipping on the first type of yarn package.

[0078] In this way, in response to detecting that the length of time that a first type of wound yarn package stored at a first location has not been released reaches a preset threshold, first presentation information is generated, and the warehouse management system outputs the first presentation information so that a sales strategy for the first type of wound yarn package can be formulated based on the first presentation information, thereby helping to process old cargo in a timely manner and reduce losses.

[0079] 4 is a schematic diagram illustrating obtaining a production strategy for a second type of wound yarn package. As shown in FIG. 4, the yarn package warehouse storage management method further includes generating second recommendation 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 adjusts the production strategy for the second type of wound yarn package based on the second recommendation information.

[0080] In some embodiments, the second display information may include the time of receipt of the yarn package, the time of delivery of the yarn package, the sales of the yarn package product, and the type of the yarn package. For example, the second display information may be "Sales performance of the yarn package is low, and we suggest adjusting the production strategy."

[0081] In some embodiments, the second type of yarn package has a relatively low sales volume and therefore requires special attention in management and processing. In warehouse management, the second type of yarn package needs to be periodically inventoried and organized, and processed and organized in a timely manner to avoid waste and loss. In addition, the production strategy for the second type of yarn package needs to be adjusted.

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

[0083] In this way, second presentation information is generated based on the sales data and inventory status of the second type of wound yarn package during the second preset period, and the warehouse management system outputs the second presentation information to adjust the production strategy for the second type of wound yarn package based on the second presentation information, thereby making it possible to timely adjust the production strategy for wound yarn packages with relatively low trading volume and reduce losses.

[0084] It should be understood that the schematic diagrams shown in Figures 2 and 3 are merely schematic and not limiting, and the contents in the diagrams 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 modifications and / or substitutions based on the examples of Figures 2 and 3, and the obtained solutions still fall within the disclosure scope of the embodiments of the present disclosure.

[0085] As shown in FIG. 5 , an embodiment of the present disclosure provides a wound yarn package warehouse storage management device applied to a warehouse management system, the device comprising: a first acquisition module 510 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 520 for inputting production data and historical sales data into the forecasting model to obtain a forecasted delivery time for the wound yarn package output by the forecasting model; an allocation module 530 for allocating a first target location for the wound yarn package based on the predicted delivery time and storage status information for each location in the multi-level warehouse; and a first sending module 540 for sending an warehousing task having a position of the first target location to the first stacker, and for the first stacker to execute the warehousing task based on the position of the first target location, wherein the warehousing task is used to instruct the winding yarn package to be stored at the first target location.

[0086] In some embodiments, the allocation module 530 includes a first allocation sub-module for allocating a first target location for the wound yarn package within a first preset distance range from the outlet when the predicted release time is in a first time period, and a second allocation sub-module for allocating a first target location for the wound yarn package within a second preset distance range from the outlet when the predicted release time is in a second time period, wherein 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 outlet than at least some locations within the second preset distance range.

[0087] In some embodiments, the allocation module 530 includes a first determination submodule for determining an expected sales volume for a first preset period based on historical sales data; a second determination submodule for determining a probability that a wound yarn package will be shipped based on the expected sales volume and production data; an acquisition submodule for acquiring an outgoing distance from each empty location of the multi-story warehouse to an outgoing port; and a third determination submodule for determining a location corresponding to the outgoing distance matching the outgoing probability as a first target location for the wound yarn package to be allocated.

[0088] In some embodiments, the first determination submodule is used to determine the expected sales volume by multiplying the sales data of the same period of the previous year by the GDP growth rate if the historical sales data is sales data of the same period of the previous year; or to determine the expected sales volume by multiplying the average sales data of the previous year by the GDP growth rate if the historical sales data is average sales data of the previous year.

[0089] In some embodiments, the wound yarn package warehouse storage management device further includes: a second acquisition module (not shown in FIG. 5) for acquiring the lot number and quantity of the wound yarn package to be shipped and storage status information of each location in the multi-story warehouse in response to receiving an outbound request for a wound yarn package having the lot number and quantity of the wound yarn package to be shipped; 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 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; and a second determination module (not shown in FIG. 5) for sending an outbound task having the position of the second target location to a second stacker, and for the second stacker to execute the outbound task based on the position of the second target location, wherein the outbound task is used to instruct the second stacker to pick up the wound yarn package from the second target location and transport it to an outbound port (not shown in FIG. 5).

[0090] In some embodiments, the wound yarn package warehouse storage management device further includes a third acquisition module (not shown in Figure 5) for acquiring storage status information for each location in the multi-story warehouse and identification of wound yarn packages stored in non-vacant locations during periods when no yarn is being shipped; a prediction module (not shown in Figure 5) for predicting the predicted shipping time of each wound yarn package stored in non-vacant locations using a prediction model; a second determination module (not shown in Figure 5) for determining a target wound yarn package and a final location of the target wound yarn package whose location needs to be adjusted based on the predicted shipping time of each wound yarn package stored in a non-vacant location and the storage status information for each location in the multi-story warehouse; and a storage module (not shown in Figure 5) for storing the target wound yarn package in the final location of the target wound yarn package.

[0091] In some embodiments, the wound yarn package warehouse storage management device further includes a first generation module (not shown in FIG. 5) for generating first presentation information in response to detecting that the length of time that a first type of wound yarn package stored at the first location has not been released has reached a preset threshold, 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 wound yarn package based on the first presentation information.

[0092] In some embodiments, the wound yarn package warehouse storage management device further includes a second generation module (not shown in FIG. 5) for 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 a second output module (not shown in FIG. 5) for outputting the second presentation information so that the warehouse management system can adjust its production strategy for the second type of wound yarn package based on the second presentation information.

[0093] Those skilled in the art will understand that the functions of each processing module in the wound yarn package warehouse storage management device according to the embodiments of the present disclosure can be understood by referring to the description of the wound yarn package warehouse storage management method described above, and that each processing module in the wound yarn 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 electronic equipment that executes the functions according to the embodiments of the present disclosure.

[0094] The yarn package warehouse storage management device of the embodiment of the present disclosure can establish an intelligent warehouse management mechanism, which helps to realize intelligent management of the input and output tasks of yarn packages, thereby contributing to improving the efficiency of input and output of yarn packages.

[0095] According to an embodiment 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 the memory 610 stores a computer program executable by the processor 620. The number of memories 610 and processors 620 may be one or more. The memory 610 may store one or more computer programs, which, when executed by the electronic device, cause the electronic device to perform the method provided by the above method embodiments. The electronic device may further include: a communication interface 630 for communicating with external devices and performing data interaction and transmission;

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

[0098] Optionally, in a specific implementation, 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] It should be understood that the processor may be a Central Processing Unit (CPU), or may be other general-purpose processors, Digital Signal Processing (DSP), Application Specific Integrated Circuits (ASIC), Field Programmable Gate Arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware assemblies, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc. The processor may be a processor supporting the Advanced RISC Machines (ARM) architecture.

[0100] Additionally, the memory may optionally include read-only memory and random access memory, or may further include non-volatile random access memory. The memory may be either volatile or non-volatile memory, or may include both volatile and non-volatile memory. Here, non-volatile memory may include read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. Volatile memory may include random access memory (RAM), which acts as an external cache. By way of example and not limitation, many forms of RAM are available. For example, static random access memory (Static RAM, SRAM), dynamic random access memory (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchlink DRAM (SLDRAM), and direct RAMBUS RAM (DR RAM).

[0101] The above-described embodiments may be implemented, in whole or in part, in software, hardware, firmware, or any combination thereof. When implemented in software, they may be implemented, in whole or in part, in the form of a computer program product. A computer program product includes one or more computer instructions. When the computer instructions are loaded and executed on a computer, a process or function according to an embodiment of the present disclosure is generated, in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center via wire (e.g., coaxial cable, optical fiber, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, Bluetooth, microwave, etc.). The computer-readable storage medium may be any available medium that can be accessed by a computer, or a data storage device including a server, a data center, etc. integrated with one or more available media. The available medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a magnetic tape), an optical medium (e.g., a Digital Versatile Disc (DVD)), or a semiconductor medium (e.g., a Solid State Disk (SSD)). Note that the computer-readable storage medium referred to in this 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 realizing the above embodiments may be implemented by hardware, or may be implemented by instructing relevant hardware by a program, and the program may be stored in a computer-readable storage medium, and the storage medium may be a read-only memory, a magnetic disk, an optical disk, etc.

[0103] In describing embodiments of the present disclosure, the references "one embodiment," "some embodiments," "examples," "specific examples," or "some examples" mean that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present disclosure. Furthermore, the described specific features, structures, materials, or characteristics may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, a person skilled in the art may combine different embodiments or examples and features of different embodiments or examples described in the present disclosure to the extent that they are not inconsistent with each other.

[0104] In the description of the embodiments of the present disclosure, unless otherwise specified, " / " means "or," for example, A / B can mean either A or B. In the present disclosure, "and / or" merely describes the related relationship of related objects and indicates that three types of relationships may exist, for example, A and / or B can indicate the following three situations: A exists alone, A and B exist simultaneously, and B exists alone.

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

[0106] The above are merely illustrative examples of the present disclosure, and do not limit the present disclosure. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present disclosure should be included in the scope of protection of the present disclosure.

[0107] In the description herein, the orientations or positional relationships indicated by terms such as "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," "axial," "radial," "circumferential," and the like are based on the orientations or positional relationships shown in the drawings and are intended solely to facilitate and simplify the description of the present disclosure, and do not indicate or suggest that the referred-to devices or elements must have a particular orientation, be configured, or operate in a particular orientation, and therefore should not be construed as a limitation of the present disclosure.

Claims

1. A wound 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 of each location in the multi-level warehouse; sending a put-in task having a position of the first target location to a first stacker, and the first stacker executing the put-in task based on the position of the first target location, wherein the put-in task is used to instruct the wound 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 in the multi-level warehouse includes: assigning the first target location for the wound yarn package within a first preset distance from an outlet if the predicted delivery time is within a first time period; assigning the first target location for the wound yarn package within a second preset distance from an outlet if the predicted delivery 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; 2. The method for storing and managing wound yarn packages in a warehouse 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 in 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 wound yarn package will be shipped based on the expected sales volume and the production data; acquiring a delivery distance from each vacant location of the multi-story warehouse to a delivery port; determining a location corresponding to the delivery distance that matches the delivery probability as a first target location for the yarn package to be allocated; 2. The method for storing and managing wound yarn packages in a warehouse 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 calculated as 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 predicted sales volume is calculated by multiplying the average sales data from the previous year by a GDP growth rate. The method for managing and storing wound yarn packages in a warehouse according to claim 3.

5. The wound yarn package warehouse storage management method includes: In response to receiving a request for shipping a wound yarn package having a lot number and a quantity of the wound yarn package to be shipped, acquiring the lot number and quantity of the wound 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 wound yarn package with the lot number is stored in the second target location; sending a delivery task having the position of the second target location to a second stacker, and the second stacker executing the delivery task based on the position of the second target location, wherein the delivery task is used to instruct the second stacker to pick up the wound yarn package from the second target location and transport it to an out-of-stock port.

2. The method for storing and managing wound yarn packages in a warehouse according to claim 1.

6. The wound yarn package warehouse storage management method includes: During a period when the yarn is not being delivered, acquiring storage status information for each location of the multi-story warehouse and identification of wound yarn packages stored in occupied locations; predicting a predicted delivery time for each wound yarn package stored in the non-empty location 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 the predicted delivery time of each wound yarn package stored in the non-vacant locations and storage status information of each location of the multi-story warehouse; storing the target wound yarn package in a final location for the target wound yarn package.

2. The method for storing and managing wound yarn packages in a warehouse according to claim 1.

7. The wound yarn package warehouse storage management method includes: generating first indication information in response to detecting that a length of time during which a first type of wound yarn package stored in a first location has not been dispensed reaches a preset threshold; and outputting the first presentation information so that the warehouse management system can formulate a sales strategy for the first type of wound yarn package based on the first presentation information.

2. The method for storing and managing wound yarn packages in a warehouse according to claim 1.

8. The wound yarn package warehouse storage management method includes: 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.

2. The method for storing and managing wound yarn packages in a warehouse according to claim 1.

9. A wound 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 a request to stock 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 wound yarn package based on the predicted delivery time and storage status information of each location in the multi-level warehouse; a first transmission module for transmitting a storage task having a position of the first target location to a first stacker, and for the first stacker to execute the storage task based on the position of the first target location, wherein the storage task is used to instruct the winding package to be stored at the first target location. Wound yarn package warehouse storage management device.

10. at least one processor; a memory communicatively coupled to 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 the method of 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 of any one of claims 1 to 8 when executed by a processor in a computer.

Images