Method and device for determining number of products to be produced, electronic equipment and storage medium

Abstract

The invention provides a method and device for determining the number of products to be produced, electronic equipment and a storage medium. The method comprises the steps that production plan information for the products to be produced is acquired; determining category information of a to-be-produced product based on the production plan information; determining a target calculation model based on the category information of the to-be-produced product; and based on the target calculation model and the production plan information, obtaining the production quantity of the to-be-produced products. The production efficiency and standardization of products can be improved, and waste of production resources is avoided.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to a method, device, electronic device and storage medium for determining the quantity of products to be produced. Background Art

[0002] At present, the production of products to be produced is usually carried out in full manual offline operations, which involves manual processing of selection and matching in Excel tables, manual analysis to create the quantity of products to be produced, and manual comparison of different versions. This is not only complicated and inefficient, but also prone to errors, poor standardization, and low security, resulting in a waste of various resources. Summary of the invention

[0003] The present application provides a method, device, electronic device and storage medium for determining the quantity of products to be produced, so as to at least solve the above technical problems existing in the prior art.

[0004] According to a first aspect of the present application, a method for determining the quantity of products to be produced is provided, the method comprising:

[0005] Obtain production plan information for products to be produced;

[0006] Based on the production plan information, determine category information of the products to be produced;

[0007] Determine a target calculation model based on category information of the product to be produced;

[0008] Based on the target calculation model and the production plan information, the production quantity of the product to be produced is obtained.

[0009] In one possible implementation manner, the production plan information includes key factors for the products to be produced; and the determining of the target calculation model based on the category information of the products to be produced includes:

[0010] Based on the category information of the products to be produced, determining the target key factors for the products to be produced in the production plan information;

[0011] Performing standard coding processing on the target key factors to obtain coded key factors;

[0012] Based on the encoding key factors, a target computing model is determined.

[0013] In one possible implementation manner, determining a target computing model based on the encoding key factors includes:

[0014] Based on the coding key factors, the target expression is determined;

[0015] Based on the target expression, a target calculation model is determined.

[0016] In one possible implementation, there are multiple encoding key factors; determining the target expression based on the encoding key factors includes:

[0017] Obtain the factor weights corresponding to each coding key factor;

[0018] Based on each coding key factor and its corresponding factor weight, the target expression is determined.

[0019] In one possible implementation manner, obtaining the production quantity of the product to be produced based on the target calculation model and the production plan information includes:

[0020] Obtain the quantity of target key factors for the products to be produced in the production plan information;

[0021] The quantity of the target key factors is input into the target calculation model, and the production quantity of the product to be produced is obtained based on the target expression of the target calculation model.

[0022] In one possible implementation manner, the production plan information also includes a planned quantity for the product to be produced; after obtaining the production quantity of the product to be produced, it also includes:

[0023] Based on the planned quantity and the production quantity, production prompt information for the product to be produced is generated; the production prompt information is used to verify and adjust the production quantity of the product to be produced.

[0024] According to a second aspect of the present application, a device for determining the quantity of products to be produced is provided, the device comprising:

[0025] A first acquisition unit, used to acquire production plan information for the product to be produced;

[0026] A first determining unit, configured to determine category information of a product to be produced based on the production plan information;

[0027] A second determining unit, configured to determine a target calculation model based on category information of the product to be produced;

[0028] The second acquisition unit is used to obtain the production quantity of the product to be produced based on the target calculation model and the production plan information.

[0029] In one possible implementation mode, the production plan information includes key factors for the products to be produced; the second determination unit is used to determine the target key factors for the products to be produced in the production plan information based on the category information of the products to be produced; perform standard coding processing on the target key factors to obtain coded key factors; and determine the target calculation model based on the coded key factors.

[0030] According to a third aspect of the present application, an electronic device is provided, including:

[0031] at least one processor; and

[0032] a memory communicatively connected to the at least one processor; wherein,

[0033] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method described in the present application.

[0034] According to a fourth aspect of the present application, a non-transitory computer-readable storage medium storing computer instructions is provided, wherein the computer instructions are used to enable a computer to execute the method described in the present application.

[0035] In this application, the production plan information for the product to be produced is obtained; based on the production plan information, the category information of the product to be produced is determined; based on the category information of the product to be produced, the target calculation model is determined; based on the target calculation model and the production plan information, the production quantity of the product to be produced is obtained. This can improve the efficiency and standardization of product production and avoid the waste of production resources.

[0036] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] By reading the detailed description below with reference to the accompanying drawings, the above and other purposes, features and advantages of the exemplary embodiments of the present application will become readily understood. In the accompanying drawings, several embodiments of the present application are shown in an exemplary and non-limiting manner, wherein:

[0038] In the drawings, the same or corresponding reference numerals represent the same or corresponding parts.

[0039] Figure 1 A schematic diagram of the implementation process of the method for determining the number of products to be produced according to an embodiment of the present application is shown;

[0040] Figure 2 A schematic diagram of the application process of the method for determining the quantity of products to be produced according to an embodiment of the present application is shown;

[0041] Figure 3 A schematic diagram showing the composition structure of a device for determining the number of products to be produced according to an embodiment of the present application is shown;

[0042] Figure 4 A schematic diagram of the structure of an electronic device according to an embodiment of the present application is shown. DETAILED DESCRIPTION

[0043] In order to make the purpose, features, and advantages of the present application more obvious and easy to understand, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present application.

[0044] The present application embodiment provides a method for determining the quantity of products to be produced, such as Figure 1 As shown, the method includes:

[0045] S101: Obtain production plan information for the product to be produced.

[0046] In this step, the products to be produced are products that are about to be put into production, including laptops, desktop computers, etc. The production plan information is a production plan formulated for the products to be produced, which includes the planned quantity of various parts or raw materials constituting the products to be produced and the planned quantity of the entire products to be produced. The production plan information is collected through multiple data sources.

[0047] S102: Determine category information of products to be produced based on the production plan information.

[0048] In this step, the production plan information includes information related to the configuration of the product to be produced, wherein the information related to the configuration of the product to be produced includes the category information of the product to be produced. For example, if the product to be produced is a laptop, the category information of the laptop includes the series to which the laptop belongs, such as a business series laptop, a gaming series laptop, etc.

[0049] S103: Determine a target calculation model based on the category information of the product to be produced.

[0050] In this step, the target calculation model is a model for automatically calculating the number of products to be produced. It can be understood that although the production plan information includes the planned number of products to be produced as a whole, the planned number of products to be produced in the production plan information is obtained by manual offline calculation or estimation, and its value is not completely accurate. In the embodiment of the present application, the target calculation model is used to automatically calculate the production quantity of the products to be produced, which can improve the standardization and efficiency of the production of the products to be produced, accurately obtain the production quantity of the products to be produced, and effectively reduce the waste of production resources. Among them, the category information of the products to be produced is different, and the corresponding target calculation model is also different.

[0051] S104: Based on the target calculation model and the production plan information, the production quantity of the product to be produced is obtained.

[0052] In this step, after determining the target calculation model for the product to be produced, the production quantity of the product to be produced can be obtained based on the production plan information of the product to be produced. In addition, the target calculation model can also be regularly updated and warned (such as reminding whether the input value is legal), analyzed, evaluated and optimized for production quantity, etc.

[0053] In the scheme shown in step S101 to step S104, the production plan information for the product to be produced is obtained; based on the production plan information, the category information of the product to be produced is determined; based on the category information of the product to be produced, the target calculation model is determined; based on the target calculation model and the production plan information, the production quantity of the product to be produced is obtained. The efficiency and standardization of product production can be improved, and the waste of production resources can be avoided.

[0054] In an optional solution, the production plan information includes key factors for the products to be produced; and determining the target calculation model based on the category information of the products to be produced includes:

[0055] Based on the category information of the products to be produced, determining the target key factors for the products to be produced in the production plan information;

[0056] Performing standard coding processing on the target key factors to obtain coded key factors;

[0057] Based on the encoding key factors, a target computing model is determined.

[0058] In this application, the production plan information includes key factors for the product to be produced. Taking the product to be produced as a laptop as an example, the key factors of the product to be produced include CPU type, memory size, storage capacity, graphics card type, etc. The target key factors of the product to be produced are the key factors that are indispensable for calculating the production quantity. Figure 2As shown, according to the category of the product to be produced, the target key factor of the product to be produced is determined from the key factors of the product to be produced. In order to make the target key factor a form that can be recognized by the model calculation, the target key factor is subjected to standardized coding to obtain the coded key factor. Among them, the coding rule can be customized, such as using the first letter or abbreviation of the target key factor to generate a unique target key factor code. Exemplarily, the CPU type (CPU Type) is standardized and coded as Ct, the memory size (MemorySize) is standardized and coded as Ms, the storage capacity (Storage Capacity) is standardized and coded as Sc, and the graphics card type (Graphics Type) is standardized and coded as Gt. After the target key factor is standardized and coded, the coding of the target key factor can also be checked for uniqueness to ensure that the coding of each target key factor of the same category of products to be produced is unique to avoid repeated coding.

[0059] This application provides a data basis for the calculation of the target calculation model by standardizing the coding of target key factors, which can improve the efficient and accurate determination of the production quantity of the products to be produced.

[0060] In an optional solution, determining a target computing model based on the encoding key factor includes:

[0061] Based on the coding key factors, the target expression is determined;

[0062] Based on the target expression, a target calculation model is determined.

[0063] In this application, the target calculation model is composed of target expressions. Figure 2As shown, based on the coding key factors, the target expression is determined. The target expression is a mathematical calculation formula based on the coding key factors and operators. Exemplarily, the target expression can be SKU=MAX(Ct, Ms, Sc, Gt), where SKU is the production quantity of the product to be produced. Ct is the number of CPU types, Ms is the number of memory sizes, Sc is the number of storage capacities, and Gt is the number of graphics card types. The target expression can also be SKU=Max(Ct, Ct*Dq, (Gt*Vq+1), Ct*Gt). Where Dq is the number of dynamic random access memories, and Vq is the number of video random access memories. The target expression can also be SKU=Max(Lq, Kq, Max(Ct, Ct*Dq, (Gt*Vq+1), Ct*Gt))+X. Where Lq is the number of LCD screens, and Kq is the number of keyboards. X is the number of additional SKUs, which can be customized by the user. It should be noted that the above are only a few examples of specific representations of the target expression in the embodiments of the present application. The specific representation of the target expression in the embodiments of the present application is not limited to the above-mentioned representations, and the present application will not elaborate on this.

[0064] In an optional solution, there are multiple encoding key factors; determining the target expression based on the encoding key factors includes:

[0065] Obtain the factor weights corresponding to each coding key factor;

[0066] Based on each coding key factor and its corresponding factor weight, the target expression is determined.

[0067] In the present application, a corresponding factor weight may also be set for each key coding factor to indicate the importance of each key coding factor relative to the calculation of the production quantity of the product to be produced. Figure 2 As shown, the target expression is determined based on the coding key factors and their corresponding factor weights. Assuming that the factor weight of the coding key factor Ct is 2, the factor weight of the coding key factor Ms is 3, the factor weight of the coding key factor Sc is 4, and the factor weight of the coding key factor Gt is 1, the target expression in the embodiment of the present application can also be SKU=Min((Ct*2), (Ms*3), (Sc*4), (Gt*1)).

[0068] In the embodiment of the present application, the target calculation model will also regularly check the validity of the model, update and record changes. Once the user modifies the key factors, the target calculation model will immediately recalculate the number of SKUs and update the interface without the user clicking "Next". When the number of SKUs calculated by the target calculation model is 0 or abnormally low, it will automatically detect and give clear error prompts and possible solutions. Improve the accuracy and standardization of the determination of the production quantity of the products to be produced.

[0069] In an optional solution, obtaining the production quantity of the product to be produced based on the target calculation model and the production plan information includes:

[0070] Obtain the quantity of target key factors for the products to be produced in the production plan information;

[0071] The quantity of the target key factors is input into the target calculation model, and the production quantity of the product to be produced is obtained based on the target expression of the target calculation model.

[0072] In this application, combined Figure 2 As shown, after determining the target calculation model based on the target expression, the number of target key factors for the product to be produced in the production plan information is substituted into the target expression of the target calculation model, and the production quantity of the product to be produced is automatically calculated. Exemplarily, assuming that the target expression is the aforementioned SKU=Max(Ct, Ct*Dq, (Gt*Vq+1), Ct*Gt), when Ct=1, Dq=2, Gt=2, Vq=1, the production quantity of the product to be produced SKU=Max(1, 1*2, (2*1+1), 1*2)=Max(1, 2, 3, 2)=3. Assuming that the target expression is the aforementioned SKU=Max(Lq, Kq, Max(Ct, Ct*Dq, (Gt*Vq+1), Ct*Gt))+X, when Lq=1, Kq=3, Ct=3, Dq=3, Gt=4, Vq=3, X=5, the production quantity of the product to be produced SKU=Max(1, 3, Max(3, 3*3, (4*3+1), 3*4))+5=18. In this way, the production quantity of the product to be produced can be calculated more accurately, which is simple and easy to implement.

[0073] In an optional solution, the production plan information also includes the planned quantity of the product to be produced; after obtaining the production quantity of the product to be produced, it also includes:

[0074] Based on the planned quantity and the production quantity, production prompt information for the product to be produced is generated; the production prompt information is used to verify and adjust the production quantity of the product to be produced.

[0075] In this application, the production plan information also includes the planned quantity for the products to be produced. After obtaining the production quantity of the products to be produced calculated by the target calculation model, by comparing the planned quantity and the production quantity, if the planned quantity is less than the automatically calculated production quantity, a production prompt message "the created SKU is less than the automatically calculated SKU number" is generated to ensure the accuracy of the configuration plan more rigorously. If the planned quantity exceeds the automatically calculated production quantity, a production prompt message "please fill in the reason for the excess" is generated and the approval process is initiated.

[0076] The target computing model of the embodiment of the present application is provided with a dedicated computing logic:

[0077] a) If the user does not manually fill in the planned quantity or automatically generate the production quantity in the production plan information configuration interface, and the user re-maintains the key factor, the target calculation model will automatically update the information and automatically generate the production quantity. (If the user does not fill in the quantity corresponding to the key factor or the quantity is 0, resulting in the automatically calculated production quantity being 0, the model will not output any generated quantity).

[0078] b) If the user changes the quantity of key factors after completing the configuration of production plan information, the model will automatically recalculate and generate updated quantity information.

[0079] In order to ensure the accuracy and stability of the model calculation results, the target calculation model of the embodiment of the present application also has the functions of regular review, update, analysis, evaluation and optimization. Specifically,

[0080] 1. Review process:

[0081] 1) Demand analysis: Regularly analyze changes in business needs and assess whether key factors or calculation formulas need to be adjusted. For example, changes in market demand may lead to an increase in demand for new types of key factors.

[0082] 2) Data feedback: Use actual data to verify the computational model and check the accuracy and reliability of the model.

[0083] 2. Update and version control:

[0084] 1) Model update: Make necessary adjustments to the target calculation model based on the review results, such as adding key factors or adjusting the weights in the target expression.

[0085] 2) Version records: Record the details of each update, including the content, reason, date, and person responsible for the change. Maintain version control for tracking and backtracking.

[0086] 3. Analysis, evaluation and optimization:

[0087] 1) Analysis and evaluation: Analyze historical production plan information configuration data to identify product configuration, key factors, etc. For the generated production quantity, evaluate its selection and matching to adapt to changes in business needs and adjust the configuration strategy of production plan information.

[0088] 2) Optimization: Based on the results of data analysis, provide users with optimization suggestions for production plan information configuration, such as increasing or decreasing planned quantities, adjusting product lines, etc.

[0089] The present application also provides a device for determining the quantity of products to be produced, such as Figure 3 As shown, the device comprises:

[0090] A first acquisition unit 301 is used to acquire production plan information for a product to be produced;

[0091] A first determining unit 302, configured to determine category information of a product to be produced based on the production plan information;

[0092] A second determining unit 303 is used to determine a target calculation model based on the category information of the product to be produced;

[0093] The second acquisition unit 304 is used to obtain the production quantity of the product to be produced based on the target calculation model and the production plan information.

[0094] In an optional scheme, the production plan information includes key factors for the products to be produced; the second determination unit 303 is used to determine the target key factors for the products to be produced in the production plan information based on the category information of the products to be produced; the target key factors are subjected to standard coding processing to obtain coded key factors; based on the coded key factors, the target calculation model is determined.

[0095] In an optional solution, the second determination unit 303 is used to determine a target expression based on the encoding key factors; and determine a target calculation model based on the target expression.

[0096] In an optional solution, there are multiple encoding key factors; the second determination unit 303 is used to obtain the factor weight corresponding to each encoding key factor; and determine the target expression based on each encoding key factor and its corresponding factor weight.

[0097] In an optional solution, the second acquisition unit 304 is used to obtain the number of target key factors for the product to be produced in the production plan information; input the number of target key factors into the target calculation model, and obtain the production quantity of the product to be produced based on the target expression of the target calculation model.

[0098] In an optional solution, the production plan information also includes a planned quantity of products to be produced; and the device further includes:

[0099] The generating unit is used to generate production prompt information for the product to be produced based on the planned quantity and the production quantity; the production prompt information is used to verify and adjust the production quantity of the product to be produced.

[0100] It should be noted that the device for determining the quantity of products to be produced in the embodiment of the present application solves the problem based on a principle similar to that of the aforementioned method for determining the quantity of products to be produced. Therefore, the implementation process, implementation principle and beneficial effects of the device for determining the quantity of products to be produced can all be referred to the description of the implementation process, implementation principle and beneficial effects of the aforementioned method, and the repeated parts will not be repeated.

[0101] According to an embodiment of the present application, the present application also provides an electronic device and a readable storage medium.

[0102] Figure 4 A schematic block diagram of an example electronic device 400 that can be used to implement an embodiment of the present application is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workbenches, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present application described and / or required herein.

[0103] like Figure 4 As shown, the device 400 includes a computing unit 401, which can perform various appropriate actions and processes according to a computer program stored in a read-only memory (ROM) 402 or a computer program loaded from a storage unit 408 into a random access memory (RAM) 403. In the RAM 403, various programs and data required for the operation of the device 400 can also be stored. The computing unit 401, the ROM 402, and the RAM 403 are connected to each other via a bus 404. An input / output (I / O) interface 405 is also connected to the bus 404.

[0104] A number of components in the device 400 are connected to the I / O interface 405, including: an input unit 406, such as a keyboard, a mouse, etc.; an output unit 407, such as various types of displays, speakers, etc.; a storage unit 408, such as a disk, an optical disk, etc.; and a communication unit 409, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 409 allows the device 400 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0105] The computing unit 401 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 401 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The computing unit 401 performs the various methods and processes described above, such as the method for determining the number of products to be produced. For example, in some embodiments, the method for determining the number of products to be produced may be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit 408. In some embodiments, part or all of the computer program may be loaded and / or installed on the device 400 via ROM 402 and / or communication unit 409. When the computer program is loaded into RAM 403 and executed by the computing unit 401, one or more steps of the method for determining the number of products to be produced described above may be performed. Alternatively, in other embodiments, the computing unit 401 may be configured to perform the method for determining the number of products to be produced by any other appropriate means (e.g., by means of firmware).

[0106] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0107] The program code for implementing the method of the present application can be written in any combination of one or more programming languages. These program codes can be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that the program code, when executed by the processor or controller, implements the functions / operations specified in the flow chart and / or block diagram. The program code can be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0108] In the context of the present application, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0109] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0110] The systems and techniques described herein may be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), and the Internet.

[0111] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship of client and server is generated by computer programs running on respective computers and having a client-server relationship with each other. The server may be a cloud server, a server of a distributed system, or a server combined with a blockchain.

[0112] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this application can be executed in parallel, sequentially or in different orders, as long as the expected results of the technical solution disclosed in this application can be achieved, and this document is not limited here.

[0113] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0114] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for determining the quantity of products to be produced, characterized in that: The method comprises: Obtain production plan information for products to be produced; Based on the production plan information, determine category information of the products to be produced; Determine a target calculation model based on category information of the product to be produced; Based on the target calculation model and the production plan information, the production quantity of the product to be produced is obtained.

2. The method according to claim 1, characterized in that The production plan information includes key factors for the products to be produced; the target calculation model is determined based on the category information of the products to be produced, including: Based on the category information of the products to be produced, determining the target key factors for the products to be produced in the production plan information; Performing standard coding processing on the target key factors to obtain coded key factors; Based on the encoding key factors, a target computing model is determined.

3. The method according to claim 2, characterized in that The determining of a target computing model based on the encoding key factors includes: Based on the coding key factors, the target expression is determined; Based on the target expression, a target calculation model is determined.

4. The method according to claim 3, characterized in that There are multiple encoding key factors; determining the target expression based on the encoding key factors includes: Obtain the factor weights corresponding to each coding key factor; Based on each coding key factor and its corresponding factor weight, the target expression is determined.

5. The method according to any one of claims 2 to 4, characterized in that: The obtaining of the production quantity of the product to be produced based on the target calculation model and the production plan information includes: Obtain the quantity of target key factors for the products to be produced in the production plan information; The quantity of the target key factors is input into the target calculation model, and the production quantity of the product to be produced is obtained based on the target expression of the target calculation model.

6. The method according to claim 1, characterized in that The production plan information also includes the planned quantities for the products to be produced; After obtaining the production quantity of the product to be produced, the method further includes: Generate production reminder information for products to be produced based on planned quantity and production quantity; The production prompt information is used to verify and adjust the production quantity of the product to be produced.

7. A device for determining the quantity of products to be produced, characterized in that: The device comprises: A first acquisition unit, used to acquire production plan information for the product to be produced; A first determining unit, configured to determine category information of a product to be produced based on the production plan information; A second determining unit, configured to determine a target calculation model based on category information of the product to be produced; The second acquisition unit is used to obtain the production quantity of the product to be produced based on the target calculation model and the production plan information.

8. The device according to claim 7, characterized in that The production plan information includes key factors for the product to be produced; the second determination unit is used to determine the target key factors for the product to be produced in the production plan information based on the category information of the product to be produced; Performing standard coding processing on the target key factors to obtain coded key factors; Based on the encoding key factors, a target computing model is determined.

9. An electronic device, characterized in that: include: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 6.

10. A non-transitory computer-readable storage medium storing computer instructions, characterized in that: The computer instructions are used to make a computer execute the method according to any one of claims 1-6.

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