Production management method and device based on weight control, equipment and medium

Abstract

The invention discloses a production management method and device based on weight control, equipment and a storage medium. The method comprises the steps of obtaining a target weight interval of a product based on a preset process capability index; acquiring the actual weight of the current product; and comparing the actual weight of the current product with the target weight interval corresponding to the current product to obtain a test result. By utilizing the method, the target weight interval of the product is accurately determined through the preset process capability index, the final test result is determined by comparing the target weight interval with the target weight interval, the product can be timely found to be a box A and a goods B according to the test result, and the risk of mixed loading can be effectively solved.

Description

Technical Field

[0001] The embodiments of the present invention relate to the technical field of production management, and in particular, to a production management method, device, equipment, and storage medium based on weight control. Background Art

[0002] When current products such as mobile phones, computers, watches, and headphones are packaged, there are various materials, and each material is divided into different types. Consumers also make personalized choices and combinations of each material and type. Multiple combinations are likely to cause the risk of putting goods of type B in box A, that is, the materials loaded in the product are incorrect.

[0003] The existing control methods determine whether it is putting goods of type B in box A according to the weight range of the product. However, the weight range of the product is often roughly determined only based on the approximate weight of the product, and the accuracy of determining whether there is misplacement or omission of product materials based on the weight range needs to be improved. Summary of the Invention

[0004] The embodiments of the present invention provide a production management method, device, equipment, and storage medium based on weight control to solve the problem that the accuracy of determination based on the weight range needs to be improved.

[0005] In a first aspect, the embodiments of the present invention provide a production management method based on weight control, including:

[0006] Obtaining a target weight range of a product based on a preset process capability index;

[0007] Obtaining the actual weight of the current product;

[0008] Comparing the actual weight of the current product with the target weight range corresponding to the current product to obtain a test result.

[0009] In a second aspect, the embodiments of the present invention further provide a production management device based on weight control, and the device includes:

[0010] An information acquisition module, configured to obtain a target weight range of a product based on a preset process capability index;

[0011] A weighing module, configured to obtain the actual weight of the current product;

[0012] A test result module, configured to compare the actual weight of the current product with the target weight range corresponding to the current product to obtain a test result.

[0013] In a third aspect, the embodiments of the present disclosure further provide an electronic device, and the electronic device includes:

[0014] One or more processors;

[0015] A storage device for storing one or more programs,

[0016] When the one or more programs are executed by the one or more processors, the one or more processors implement the production management method based on weight control provided by the embodiments of the present disclosure.

[0017] In a fourth aspect, the embodiments of the present disclosure further provide a storage medium containing computer-executable instructions, and the computer-executable instructions are used to execute and implement the production management method based on weight control provided by the embodiments of the present disclosure when executed by a computer processor.

[0018] In a fifth aspect, the embodiments of the present disclosure provide a computer program product, the computer program product includes a computer program, and the computer program implements the production management method based on weight control provided by the embodiments of the first aspect when executed by a processor.

[0019] The present invention discloses a production management method, device, equipment and storage medium based on weight control. By presetting the process capability index, the target weight range of the product can be accurately determined. By comparing with the target weight range, the final test result can be determined. According to the test result, it can be found in time that the product is A-box B-goods, and the risk of mixed loading can be effectively solved. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Combined with the drawings and referring to the following specific embodiments, the above and other features, advantages and aspects of the embodiments of the present disclosure will become more obvious. Throughout the drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic, and the original components and elements are not necessarily drawn to scale.

[0021] Figure 1 It is a flowchart of a production management method based on weight control provided by the embodiments of the present disclosure;

[0022] Figure 2 It is a schematic structural diagram of a production management device based on weight control provided by the embodiments of the present disclosure;

[0023] Figure 3 It is a schematic structural diagram of an electronic device provided by the embodiments of the present disclosure. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0024] The embodiments of the present disclosure will be described in more detail below with reference to the drawings. Although some embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as limited to the embodiments set forth herein. On the contrary, these embodiments are provided to more thoroughly and completely understand the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes and are not used to limit the protection scope of the present disclosure.

[0025] It should be understood that the various steps described in the method embodiments of the present disclosure may be executed in different orders and / or executed in parallel. In addition, the method embodiments may include additional steps and / or omit the steps shown. The scope of the present disclosure is not limited in this regard.

[0026] As used herein, the term "including" and its variations are open-ended, that is, "including but not limited to". The term "based on" means "at least partially based on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". The relevant definitions of other terms will be given in the following description.

[0027] It should be noted that the concepts such as "first", "second", etc. mentioned in the present disclosure are only used to distinguish different devices, modules or units, and are not used to limit the order of functions executed by these devices, modules or units or their interdependencies.

[0028] It should be noted that the modifications of "one" and "multiple" mentioned in the present disclosure are illustrative rather than restrictive. Those skilled in the art should understand that unless otherwise clearly stated in the context, it should be understood as "one or more".

[0029] The names of the messages or information exchanged between multiple devices in the embodiments of the present disclosure are only for illustrative purposes and are not used to limit the scope of these messages or information.

[0030] It can be understood that before using the technical solutions disclosed in the embodiments of the present disclosure, the types, usage scopes, usage scenarios, etc. of the personal information involved in the present disclosure should be informed to the user and the user's authorization should be obtained in an appropriate manner in accordance with relevant laws and regulations.

[0031] For example, when responding to receiving an active request from a user, a prompt message is sent to the user to clearly prompt the user that the operation requested by the user will require obtaining and using the user's personal information. Thus, the user can autonomously choose whether to provide personal information to software or hardware such as an electronic device, an application program, a server, or a storage medium that performs the operations of the technical solutions of the present disclosure according to the prompt message.

[0032] As an optional but non-limiting implementation manner, when responding to receiving an active request from a user, the manner of sending a prompt message to the user may be, for example, in the form of a pop-up window, and the prompt message may be presented in text in the pop-up window. In addition, the pop-up window may also carry a selection control for the user to choose "agree" or "disagree" to provide personal information to the electronic device.

[0033] It is understandable that the above notification and the process of obtaining user authorization are only illustrative and do not limit the implementation manner of the present disclosure. Other manners that comply with relevant laws and regulations can also be applied to the implementation manner of the present disclosure.

[0034] It is understandable that the data involved in the present technical solution (including but not limited to the data itself, the acquisition or use of the data) should comply with the requirements of corresponding laws, regulations and related provisions.

[0035] Figure 1 The present disclosure provides a flowchart of production management based on weight control for an embodiment. The embodiment of the present disclosure is applicable to situations where it is difficult to solve the problems that the operator has a large degree of subjectivity, cannot control the risk of mixed loading caused by the operator's subjectivity, and it is difficult for quality control personnel to perform real-time monitoring. This method can be executed by a production management device based on weight control, and the device can be implemented in the form of software and / or hardware.

[0036] As Figure 1 shown, a production management method based on weight control provided by an embodiment of the present disclosure may specifically include the following steps:

[0037] S110. Obtain the target weight range of the product based on a preset process capability index.

[0038] Among them, the product includes: a combined product or a single-material product; the combined product includes at least two single materials.

[0039] In this embodiment, the preset process capability index can be an important indicator to measure the stability and consistency of the production process, an index used to evaluate whether the production process can meet the product specification requirements. By comparing the variability of the production process with the allowable range of the product specification, the ability of the production process is judged. Whether it meets the requirements is determined according to the actual production situation of the factory. In this embodiment, it is set according to the actual situation of the factory and is not specifically limited in this embodiment. The product may include: a combined product composed of at least two single materials or a product composed of a single material. The single-material product has only one single material; the single material may be one of a watch, a watch case, a charging cable, a label, an instruction manual, a watch band, a sealing strip, a watch box, or a gift box, etc. The combined product includes at least two single materials, and the combined product may be a combination of multiple single materials such as a watch, a watch case, a charging cable, a label, an instruction manual, a watch band, a sealing strip, a watch box, or a gift box. The target weight range may be the weight range value when the single materials in the product are correct, and is obtained based on the preset process capability index.

[0040] Specifically, obtain the average weight and standard deviation of the product. Substitute the preset process capability index, average weight, and standard deviation into the process capability index calculation formula to output the target weight range of the product. The method of obtaining the average weight and standard deviation of the product can be to query the standard weight and standard deviation of the product at the time of leaving the factory; or by weighing a certain number of products and then calculating the corresponding average weight and standard deviation

[0041] Based on the above embodiments, obtaining the target weight range of the product based on the preset process capability index may include the following steps:

[0042] a1) Obtain a first preset number of products and weigh them to obtain first weighing data.

[0043] In this embodiment, the first set number can be a preset number, which is set according to the actual situation and is not specifically limited in this embodiment. The first weighing data can be a data set composed of the weighed weights of the products. Exemplarily, the first set number can be a relatively small number, such as 100.

[0044] Specifically, to obtain a first preset number of products and weigh them, an electronic scale that can be connected to the production line computer and upload weights can be used, or the production line can be counted, and the data set composed of the weighed weights of the products is used as the first weighing data.

[0045] b1) Determine the first average value and the first standard deviation of the product according to the first weighing data.

[0046] In this embodiment, the first average value can be the average value of the weighed products of the first set number, and the first standard deviation can be the standard discrete value of the weights under the first preset number of products.

[0047] Exemplarily, the product includes a watch and a watch case. Take 100 pieces of each of the watch and the watch case and combine them for weighing, and calculate the average value of the products as the average weight of the product.

[0048] Specifically, according to the first weighing data, calculate the average value of all weighing values as the first average value, and use the arithmetic mean of the squares of the differences from the average value as the first standard deviation of the product.

[0049] c1) Determine the first weight upper limit value and the first weight lower limit value of the product combination according to the first average value, the first standard deviation, and the preset process capability index.

[0050] d1) Use the weight upper limit value and the weight lower limit value as the upper limit value and the lower limit value of the target weight range respectively.

[0051] In this embodiment, the process capability index can be set to any value within the range of 1.33 - 1.67. The upper weight limit value is the maximum value exceeding the first average value, and the lower weight limit value is the minimum value exceeding the first average value. Exemplarily, if the first average value is 8, and the maximum and minimum values are 2, then the upper weight limit value is 10, and the lower weight limit value is 6.

[0052] In this embodiment, the calculation formula for the process capability index is:

[0053] y = min((USL - μ) / 3σ, (μ - LSL) / 3σ)

[0054] Wherein, y represents the process capability index, USL represents the upper weight limit value, μ represents the second average value, σ represents the standard deviation, and LSL represents the lower weight limit value.

[0055] Specifically, based on the first average value, the first standard deviation, the preset process capability index, and the above calculation formula for the process capability index, the upper and lower weight limit values of the product combination are determined, and the upper and lower weight limit values are respectively used as the upper and lower limit values of the target weight range.

[0056] S120. Obtain the actual weight of the current product.

[0057] Specifically, the way to obtain the actual weight of the current product can be: when the current product reaches the current station, the operator takes the product and places it on the electronic scale, and the electronic scale weighs the ex-factory weight of the current product and uploads it to the computer; or the actual weight can be measured using the production line.

[0058] S130. Compare the actual weight of the current product with the target weight range corresponding to the current product to obtain a test result.

[0059] In this embodiment, the test result can include: qualified and unqualified;

[0060] Specifically, when the ex-factory weight is within the target weight range corresponding to the current product, the test result is qualified; when the ex-factory weight is not within the target weight range corresponding to the current product, the test result is unqualified.

[0061] Based on the above embodiment, after comparing the actual weight of the current product with the target weight range corresponding to the current product to obtain a test result, the following steps can be included:

[0062] a2) If the actual weight is not within the target weight range, obtain the types of single materials included in the current product and the corresponding standard weight ranges.

[0063] In this embodiment, the standard weight range of a single piece of material is also obtained based on a preset process capability index. By weighing a certain number of single-piece material products, the mean value and standard deviation of the products in terms of quantity are determined, and the standard weight range of the single-piece material is determined in combination with the process capability index formula.

[0064] b2) Compare the single-piece materials included in the current product with the types of single-piece materials to determine whether there is misplacement of materials.

[0065] c2) If there is no misplacement of materials, compare the actual weight of each single-piece material with the standard weight range to determine whether the actual weight of each material is within the standard weight range.

[0066] In this embodiment, when the actual weight is not within the target weight range, obtain the types of single-piece materials included in the product stored in the computer or storage server and the corresponding standard weights. Compare each piece of material included in the current product with the preset material types to determine whether there is misplacement of materials. If there is misplacement of materials, replace the misplaced materials. If there is no misplacement of materials, weigh each single-piece material and compare it with the standard weight range to determine whether the actual weight of each material is within the standard weight range.

[0067] Based on the above embodiment, after determining whether the actual weight of each material is within the standard weight range, it may include: when the actual weight is within the standard weight range, increase the data of the weight of the single-piece materials included in the current product, and adjust the target weight range of the current product according to the weighed data.

[0068] Specifically, when the actual weight of each material is not within the standard weight range, check the inventory materials, feedback to the material manufacturer for rectification, replace the qualified materials, and reweigh and pass through the station. When the actual weight of each material is within the standard weight range, increase the data volume of the combined weight of multiple groups of the current product, and adjust the upper and lower limits of the weight.

[0069] Based on the above embodiment, increasing the data of the weight of the single-piece materials included in the current product and adjusting the target weight range of the current product according to the weighed data may include the following steps:

[0070] a2) Obtain a second preset number of products and weigh them to obtain second weighing data

[0071] In this embodiment, the second set number can be a preset number, which is set according to the actual situation and is not specifically limited in this embodiment. Among them, the obtained products with the second preset number can be the products with a set quantity increased on the basis of the above-mentioned first preset number, that is, the products with the second preset number include the products with the first preset number used to estimate the target weight range. It can also be to obtain products with the second preset number regardless of the above-mentioned products with the first preset number. The second weighing data can be a data set composed of the weighing weights of the products with the second set number. Exemplarily, the second set number can be 200.

[0072] In the embodiment of the invention, the roughly estimated target weight range can be determined through the first weighing data, and then the relatively accurate target weight range can be determined through the second weighing data.

[0073] Specifically, to obtain products with the second preset number and weigh them, an electronic scale that can be connected to the computer in the production line and upload the weight can be used, or the production line counting can be used.

[0074] b2) Determine the second average value and the second standard deviation of the products according to the second weighing data.

[0075] In this embodiment, the second average value can be the average value of the weighing of the products with the second set number, and the second standard deviation can be the standard discrete value of the weight under the products with the second preset number.

[0076] Exemplarily, the products include watches and watch straps. Take 200 pieces of watches and watch straps respectively and weigh them together to calculate the average value of the products as the average value of the product weight.

[0077] Specifically, according to the second weighing data, calculate the average value of all weighing values as the second average value, and take the arithmetic mean of the squares of the differences from the average value as the second standard deviation of the products.

[0078] c2) Take the second weight upper limit value and the second weight lower limit value as the upper limit value and the lower limit value of the target weight range respectively.

[0079] In this embodiment, the process capability index can be set to any value in the range of 1.33 - 1.67. The weight upper limit value is the maximum value exceeding the second average value, and the weight lower limit value is the minimum value exceeding the second average value. Exemplarily, if the second average value is 8, and the maximum value and the minimum value are 2, then the weight upper limit value is 10, and the weight lower limit value is 6.

[0080] In this embodiment, the calculation formula of the process capability index is: y = min((USL - μ) / 3σ, (μ - LSL) / 3σ), where y represents the process capability index, USL represents the weight upper limit value, μ represents the second average value, σ represents the standard deviation, and LSL represents the weight lower limit value.

[0081] Specifically, the upper weight limit value and the lower weight limit value of the product combination are determined according to the second average value, the second standard deviation, the preset process capability index, and the above-mentioned calculation formula of the process capability index, and the upper weight limit value and the lower weight limit value are used as the upper limit value and the lower limit value of the target weight range respectively.

[0082] The present invention discloses a production management method based on weight control, including: obtaining a target weight range of a product based on a preset process capability index; obtaining the actual weight of the current product; comparing the actual weight of the current product with the target weight range corresponding to the current product to obtain a test result. Using this method: the target weight range of the product can be accurately determined, whether a single material is incorrect can be judged according to the target weight range, the judgment accuracy is high, the risk of mixed loading can be effectively solved, the problems caused by illegal operations can be detected, the workload of IPQC can be reduced, and at the same time, each product can be controlled.

[0083] Figure 2 For the embodiments of the present invention, there is also provided a schematic structural diagram of a production management device based on weight control, as Figure 2 shown, the device includes: an information acquisition module 210, a weighing module 220, and a test result module 230.

[0084] The information acquisition module 210 is configured to obtain a target weight range of a product based on a preset process capability index;

[0085] The weighing module 220 is configured to obtain the actual weight of the current product;

[0086] The test result module 230 is configured to compare the actual weight of the current product with the target weight range corresponding to the current product to obtain a test result.

[0087] The technical solution provided by the embodiments of the present disclosure accurately determines the target weight range of the product through a preset process capability index, determines the final test result by comparing with the target weight range, and according to the test result, it can be timely found that the product is goods of box A but actually from box B, and the risk of mixed loading can be effectively solved.

[0088] Further, the information acquisition module 210 may be configured to:

[0089] The product includes: a combined product or a single material; the combined product includes at least two of the single materials.

[0090] Further, the information acquisition module 210 may be configured to:

[0091] Obtain a first preset number of products and weigh them to obtain first weighing data;

[0092] Determine the first average value and the first standard deviation of the product based on the first weighing data;

[0093] Determine the first weight upper limit value and the first weight lower limit value of the product combination according to the first average value, the first standard deviation and a preset process capability index;

[0094] Respectively use the first weight upper limit value and the first weight lower limit value as the upper limit value and the lower limit value of the target weight range.

[0095] Further, the device may further include:

[0096] After comparing the actual weight of the current product with the target weight range corresponding to the current product to obtain a test result, it includes:

[0097] When the actual weight is not within the target weight range, obtain the type of single material included in the current product and the corresponding standard weight range;

[0098] Compare the single materials included in the current product with the types of single materials to determine whether there is misplacement of materials;

[0099] If there is no misplacement of materials, compare the actual weight of each single material with the standard weight difference to determine whether the actual weight of each material is within the standard weight range.

[0100] Further, the device may further include: after determining whether the actual weight of each material is within the standard weight range, it includes:

[0101] When the actual weight is within the standard weight range, increase the data of weighing the single materials included in the current product, and adjust the target weight range of the current product according to the weighing data.

[0102] Further, the device may further include:

[0103] Obtain a second preset number of products and weigh them to obtain second weighing data;

[0104] Determine the second average value and the second standard deviation of the product based on the second weighing data;

[0105] Determine the second weight upper limit value and the second weight lower limit value of the product combination according to the second average value, the second standard deviation and a preset process capability index;

[0106] Respectively use the second weight upper limit value and the second weight lower limit value as the upper limit value and the lower limit value of the target weight range.

[0107] The above device can execute the methods provided in all the foregoing embodiments of the present invention, and has corresponding functional modules and beneficial effects for executing the above methods. For technical details not described in detail in this embodiment, reference may be made to the methods provided in all the foregoing embodiments of the present invention.

[0108] Figure 3 FIG. shows a schematic structural diagram of an electronic device 10 that can be used to implement an embodiment of the present invention. The electronic device is intended to represent various forms of digital computers, such as, for example, laptop computers, desktop computers, workstations, 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, for example, personal digital processors, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the present invention described and / or claimed herein.

[0109] As Figure 3 shown, the electronic device 10 includes at least one processor 11, and a memory communicatively connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc. The memory stores a computer program executable by the at least one processor. The processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 into the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. The input / output (I / O) interface 15 is also connected to the bus 14.

[0110] Multiple components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a magnetic disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0111] The processor 11 can be various general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as the production management method based on weight control.

[0112] In some embodiments, the production management method based on weight control can be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed onto the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the production management method based on weight control described above can be executed. Alternatively, in other embodiments, the processor 11 can be configured to execute the production management method based on weight control by any other suitable means (e.g., by means of firmware).

[0113] Various embodiments 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-a-chip (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include: implemented in one or more computer programs, the one or more computer programs can be executed and / or interpreted on a programmable system including at least one programmable processor, the programmable processor can be a special-purpose or general-purpose programmable processor, can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit the data and instructions to the storage system, the at least one input device, and the at least one output device.

[0114] The computer program for implementing the method of the present invention can be written in any combination of one or more programming languages. These computer programs can be provided to the processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when the computer program is executed by the processor, the functions / operations specified in the flowchart and / or block diagram are implemented. The computer program can be executed entirely on the machine, partially on the machine, as an independent software package partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0115] In the context of the present invention, a computer-readable storage medium can be a tangible medium that can contain or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer-readable storage medium can include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, the computer-readable storage medium can be a machine-readable signal medium. More specific examples of the machine-readable storage medium would include an electrical connection based on one or more wires, 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 disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0116] To provide for interaction with a user, the systems and techniques described herein can be implemented on an electronic device 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 a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the electronic device. Other kinds of devices can also be used to provide for interaction with the user; for example, 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).

[0117] The systems and techniques described herein can be implemented in a computing system that includes backend 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 frontend components (e.g., a user computer having a graphical user interface or a web browser through which the user can interact with an implementation of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system can 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), a blockchain network, and the Internet.

[0118] A computing system may include a client and a server. The client and the server are generally far from each other and usually interact via a communication network. The relationship between the client and the server is created by computer programs running on respective computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or a cloud host, which is a host product in the cloud computing service system, solving the defects of difficult management and weak business scalability existing in traditional physical hosts and VPS services.

[0119] It should be understood that various forms of the processes shown above can be used, steps can be reordered, added or deleted. For example, the steps recited in the present invention can be executed in parallel, sequentially or in a different order, as long as the desired results of the technical solution of the present invention can be achieved, and no limitation is made herein.

[0120] The above specific embodiments do not constitute a limitation on the protection scope of the present invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A production management method based on weight control, characterized in that The method includes: Obtaining a target weight range of a product based on a preset process capability index; Obtaining the actual weight of the current product; Comparing the actual weight of the current product with the target weight range corresponding to the current product to obtain a test result.

2. The method according to claim 1, characterized in that The product includes: a combined product or a single-material product; the combined product includes at least two single materials.

3. The method according to claim 1, wherein The obtaining the target weight range of the product based on a preset process capability index includes: Obtaining a first preset number of products and weighing them to obtain first weighing data; Determining a first average value and a first standard deviation of the product according to the first weighing data; Determining a first upper weight limit value and a first lower weight limit value of the product combination according to the first average value, the first standard deviation, and a preset process capability index; Taking the first upper weight limit value and the first lower weight limit value as the upper limit value and the lower limit value of the target weight range respectively.

4. The method according to claim 2, wherein After comparing the actual weight of the current product with the target weight range corresponding to the current product to obtain a test result, it includes: When the actual weight is not within the target weight range, obtaining the types of single materials included in the current product and the corresponding standard weight ranges; Comparing the single materials included in the current product with the types of single materials to determine whether there is misplacement of materials; If there is no misplacement of materials, comparing the actual weight of each single material with the standard weight difference to determine whether the actual weight of each material is within the standard weight range.

5. The method according to claim 4, wherein After determining whether the actual weight of each material is within the standard weight range, it includes: When the actual weight is within the standard weight range, increasing the weighing data of the single materials included in the current product, and adjusting the target weight range of the current product according to the weighing data.

6. The method according to claim 5, wherein The increasing the weighing data of the single materials included in the current product and adjusting the target weight range of the current product according to the weighing data includes: Obtaining a second preset number of products and weighing them to obtain second weighing data; Determining a second average value and a second standard deviation of the product according to the second weighing data; Determining a second upper weight limit value and a second lower weight limit value of the product combination according to the second average value, the second standard deviation, and a preset process capability index; Taking the second upper weight limit value and the second lower weight limit value as the upper limit value and the lower limit value of the target weight range respectively.

7. A production management device based on weight control, characterized in that It includes: An information acquisition module for obtaining a target weight range of a product based on a preset process capability index; A weighing module for obtaining the actual weight of the current product; A test result module for comparing the actual weight of the current product with the target weight range corresponding to the current product to obtain a test result.

8. An electronic device, characterized in that, The electronic device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and when the computer program is executed by the at least one processor, the at least one processor is enabled to execute the production management method based on weight control according to any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions for implementing the production management method based on weight control according to any one of claims 1-6 when the computer instructions are executed by a processor.

10. A computer program product, characterized in that, The computer program product includes a computer program which, when executed by a processor, implements the production management method based on weight control according to any one of claims 1-6.

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