Product production cost evaluation method, device and electronic equipment

Abstract

The present invention provides a method, device and electronic device for evaluating the production cost of a product, the method comprising: acquiring and storing data of all production nodes of a product, receiving and storing production factor data of the product, acquiring first data matching the production factor data from the data of the production node, determining the number of workstations for producing the product according to the first data and the production factor data, and calculating the working hours of each workstation, calculating the production cost of the product according to preset cost accounting elements, the first data, the working hours of each workstation and the production factor data, and generating an evaluation report according to the production cost of the product and the data of all production nodes. The present invention can improve the accuracy and efficiency of product production cost evaluation, and effectively reduce the manpower cost of product production cost evaluation.

Description

Technical Field

[0001] The present invention relates to the technical field of product production cost assessment, and in particular to a product production cost assessment method, device and electronic equipment. Background Art

[0002] In the prior art, part cost analysis is subject to the evaluator's experience, ability, processing method, production node technology, and personal subjective factors, which results in low accuracy, low efficiency, and high labor costs. Summary of the invention

[0003] In view of the above, it is necessary to propose a product production cost evaluation method, device and electronic equipment to improve the accuracy and efficiency of cost analysis and effectively reduce labor costs.

[0004] A first aspect of the present application provides a method for evaluating product production costs, the method comprising:

[0005] Acquire and store data of all production nodes of the product;

[0006] Receiving and storing production factor data of the product;

[0007] Acquire first data matching the production factor data from the data of the production node;

[0008] Determine the number of workstations for producing the product according to the first data and the production factor data, and calculate the working hours of each workstation;

[0009] The production cost of the product is calculated based on the preset cost accounting elements, the first data, the working hours of each workstation and the production factor data, and an evaluation report is generated based on the production cost of the product and the data of all production nodes.

[0010] Preferably, the calculation formula for the production cost of the product is: Where C is the production cost of the product, O is the additional cost, N is the number of all production nodes, M i is the material cost of the i-th production node, ZC i is the production node cost of the i-th production node, T i is the total working hours of the i-th production node, H i is the labor rate of the ith production node.

[0011] Preferably, the acquiring and storing data of all production nodes includes:

[0012] Acquire and store the process data, working time data and cost data of all production nodes, wherein the process data include the process data of the milling machine, the process data of the grinding machine, the process data of the wire cutting, the process data of the discharge, the process data of the CNC machine tool processing, the process data of the program, the process data of the sheet metal, and the process data of the surface treatment; the cost data include the cost data of the milling machine, the cost data of the grinding machine, the cost data of the wire cutting, the cost data of the discharge, the cost data of the CNC machine tool processing, the cost data of the program, the cost data of the sheet metal, and the cost data of the surface treatment; the working time data include the working time data of the milling machine, the working time data of the grinding machine, the working time data of the wire cutting, the working time data of the discharge, the working time data of the CNC machine tool processing, the working time data of the program, the working time data of the sheet metal, and the working time data of the surface treatment.

[0013] Preferably, the receiving and storing the production factor data of the product comprises:

[0014] Receive and store the design data, processing drawing data, part shape data and processing requirement data of the product.

[0015] Preferably, after receiving and storing the production factor data of the product, the step further includes:

[0016] Determining whether the production factor data conforms to a preset first rule;

[0017] When the production factor data does not conform to the preset first rule, a first prompt message is generated to prompt the user to modify the production factor data.

[0018] Preferably, acquiring first data matching the production factor data from the data of the production node comprises:

[0019] Acquire a keyword of the production factor data, and match the data of the production node according to the keyword of the production factor data;

[0020] When there is data of a production node in the data of the production node that matches the keyword of the production factor data, the process data and the corresponding working time data in the data of the production node are used as the first data; or when there is no data of a production node in the data of the production node that matches the keyword of the production factor data, a second prompt information is generated to prompt the user to supplement the data of the production node.

[0021] Preferably, determining the number of workstations for producing the product according to the first data and the production factor data, and calculating the working hours of each workstation includes:

[0022] Calculate the processing volume of each working hour of each production node process according to the process data and the working hour data in the first data;

[0023] Calculate the total workload of each production node required to produce the product according to the production factor data and the process data;

[0024] The working hours of each workstation are calculated according to the processing volume of each working hour of each production node process, the total workload of each production node and each workstation.

[0025] Preferably, the calculating of the production cost according to the preset cost accounting elements, the first data, the working hours of each workstation and the production factor data comprises:

[0026] Calculate additional costs based on the production factor data and the preset cost accounting elements;

[0027] Calculate labor rate and production node cost according to cost data and labor time data in the production factor data;

[0028] Calculate material costs based on the cost data in the first data;

[0029] Calculating the processing cost according to the preset cost accounting elements, the working time data of each workstation, the labor rate and the production node cost;

[0030] The production cost is calculated based on the additional cost, the material cost, and the processing cost.

[0031] A third aspect of the present application provides a product production cost assessment device, the product production cost assessment device comprising:

[0032] A data acquisition module, used to acquire and store data of production nodes;

[0033] A data input module, used for receiving and storing input production factor data;

[0034] A production process analysis module, used to obtain first data corresponding to the stored production factor data from the data of the production node;

[0035] A workstation working time data analysis module, used to calculate the working time of each workstation according to the first data and the production factor data using the corresponding production node working time calculation data model;

[0036] The cost evaluation module is used to calculate the production cost based on the preset cost accounting elements, the first data, the working hours of each workstation and the production factor data.

[0037] A third aspect of the present application provides an electronic device, the electronic device comprising:

[0038] a memory storing at least one instruction; and

[0039] A processor executes the instructions stored in the memory to implement the product production cost evaluation method.

[0040] The present invention can analyze the cost of product production through historical production data, improve the accuracy and efficiency of product production cost evaluation, and effectively reduce the manpower cost of product production cost evaluation. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 Flow chart of a method for evaluating product production costs in one embodiment of the present invention.

[0042] Figure 2 It is a structural diagram of a product production cost evaluation device in one embodiment of the present invention.

[0043] Figure 3 FIG. 4 is a schematic diagram of an electronic device according to an embodiment of the present invention.

[0044] Main component symbols

[0045] Product production cost evaluation device 30

[0046] Data acquisition module 301

[0047] Data input module 302

[0048] Production process analysis module 303

[0049] Workstation working hours data analysis module 304

[0050] Cost Assessment Module 305

[0051] Electronic equipment 6

[0052] Memory 61

[0053] Processor 62

[0054] Computer Programs 63 DETAILED DESCRIPTION

[0055] In order to more clearly understand the above-mentioned purpose, features and advantages of the present invention, the present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0056] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. The embodiments described are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0057] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used in the specification of the present invention herein are only for the purpose of describing specific embodiments and are not intended to limit the present invention.

[0058] Preferably, the product production cost assessment method of the present invention is applied in one or more electronic devices. The electronic device is a device that can automatically perform numerical calculations and / or information processing according to pre-set or stored instructions, and its hardware includes but is not limited to microprocessors, application specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), digital signal processors (DSP), embedded devices, etc.

[0059] The electronic device may be a computing device such as a desktop computer, a laptop computer, a tablet computer, a cloud server, etc. The device may interact with a user through a keyboard, a mouse, a remote controller, a touch pad, or a voice control device.

[0060] Example 1

[0061] Figure 1 1 is a flow chart of a method for evaluating product production costs in one embodiment of the present invention. The method for evaluating product production costs is applied in electronic devices. According to different requirements, the order of the steps in the flow chart can be changed, and some steps can be omitted.

[0062] See also Figure 1 As shown, the product production cost evaluation method specifically includes the following steps:

[0063] Step S11, acquiring and storing data of all production nodes of the product.

[0064] In one embodiment of the present invention, all the production nodes include milling machines, grinders, wire cutting, CNC machine tool processing, programs, sheet metal, and surface treatment.

[0065] In one embodiment of the present invention, acquiring and storing data of all production nodes includes:

[0066] Acquire and store the process data, working time data and cost data of all production nodes, wherein the process data include the process data of the milling machine, the process data of the grinding machine, the process data of the wire cutting, the process data of the discharge, the process data of the CNC machine tool processing, the process data of the program, the process data of the sheet metal, and the process data of the surface treatment; the cost data include the cost data of the milling machine, the cost data of the grinding machine, the cost data of the wire cutting, the cost data of the discharge, the cost data of the CNC machine tool processing, the cost data of the program, the cost data of the sheet metal, and the cost data of the surface treatment; the working time data include the working time data of the milling machine, the working time data of the grinding machine, the working time data of the wire cutting, the working time data of the discharge, the working time data of the CNC machine tool processing, the working time data of the program, the working time data of the sheet metal, and the working time data of the surface treatment.

[0067] In one embodiment of the present invention, the process data of the milling machine, the working time data of the milling machine, the cost data of the milling machine, the process data of the grinding machine, the working time data of the grinding machine, the cost data of the grinding machine, the process data of wire cutting, the working time data of wire cutting, the cost data of wire cutting, the process data of discharge, the working time data of discharge, the cost data of discharge, the process data of CNC machine tool processing, the working time data of CNC machine tool processing, the cost data of CNC machine tool processing, the process data of the program, the working time data of the program, the cost data of the program, the process data of sheet metal, the working time data of sheet metal, the cost data of sheet metal, the process data of surface treatment, the working time data of surface treatment, the cost data of surface treatment can be collected from a procurement system and / or a material management system and / or a production management system and / or processing equipment.

[0068] Step S12, receiving and storing the production factor data of the product.

[0069] In one embodiment of the present invention, the receiving and storing the production factor data of the product includes:

[0070] Receive and store the design data, processing drawing data, part shape data and processing requirement data of the product.

[0071] In one embodiment of the present invention, after receiving and storing the production factor data of the product, the method further includes:

[0072] Determining whether the production factor data conforms to a preset first rule;

[0073] When the production factor data does not conform to the preset first rule, a first prompt message is generated to prompt the user to modify the production factor data.

[0074] Specifically, when the production factor data does not comply with the preset first rule, the user input is determined to be incorrect, and the first prompt information is generated, the first prompt information including the preset first rule and the data in the production factor data that does not comply with the preset first rule, and the first prompt information is sent to the user.

[0075] Specifically, in other implementations of the present invention, when the production factor data conforms to the preset first rule, the user can modify the production factor data.

[0076] Step S13, obtaining first data matching the production factor data from the data of the production node.

[0077] In one embodiment of the present invention, acquiring first data matching the production factor data from the data of the production node includes:

[0078] Acquire a keyword of the production factor data, and match the data of the production node according to the keyword of the production factor data;

[0079] When there is data of a production node in the data of the production node that matches the keyword of the production factor data, the process data and the corresponding working time data in the data of the production node are used as the first data; or when there is no data of a production node in the data of the production node that matches the keyword of the production factor data, a second prompt information is generated to prompt the user to supplement the data of the production node.

[0080] In other embodiments of the present invention, obtaining first data matching the production factor data from the data of the production node includes:

[0081] Using the data of the production node to train a support vector machine model to obtain a classification model;

[0082] The production factor data is input into the classification model, and the classification model is used to classify the production factor data to obtain the category of the production factor data, and the process data and working time data in the data of the production node corresponding to the category of the production factor data are used as the first data.

[0083] Step S14, determining the number of workstations for producing the product according to the first data and the production factor data, and calculating the working hours of each workstation.

[0084] In one embodiment of the present invention, determining the number of workstations for producing the product according to the first data and the production factor data, and calculating the working hours of each workstation includes:

[0085] Determine the number of workstations for producing the product according to the first data and the production factor data;

[0086] Calculate the processing volume of each working hour of each production node process according to the process data and the working hour data in the first data;

[0087] Calculate the total workload of each production node required to produce the product according to the production factor data and the process data;

[0088] The working hours of each workstation are calculated according to the processing volume of each working hour of each production node process, the total workload of each production node and the number of workstations.

[0089] In other embodiments of the present invention, determining the number of workstations for producing the product according to the first data and the production factor data, and calculating the working hours of each workstation includes:

[0090] Determine the number of workstations for producing the product according to the first data and the production factor data;

[0091] Training a regression model according to the process data and the working time data of each production node in the first data;

[0092] Inputting the process data in the production process element data into the regression model, and using the regression model to calculate the total workload of each production node;

[0093] The working hours of each workstation are calculated according to the processing volume of each working hour of each production node process, the total workload of each production node and each workstation.

[0094] Step S15, calculating the production cost of the product according to the preset cost accounting elements, the first data, the working hours of each workstation and the production factor data, and generating an evaluation report according to the production cost of the product and the data of all production nodes.

[0095] In one embodiment of the present invention, the calculation formula of the production cost is: Where C is the production cost of the product, O is the additional cost, N is the number of all production nodes, M i is the material cost of the i-th production node, ZC i is the production node cost of the i-th production node, T i is the total working hours of the i-th production node, H i is the labor rate of the ith production node.

[0096] In one embodiment of the present invention, the calculating of the production cost according to the preset cost accounting elements, the first data, the working hours of each workstation and the production factor data comprises:

[0097] Calculate additional costs based on the production factor data and the preset cost accounting elements;

[0098] Calculate labor rate and production node cost according to cost data and labor time data in the production factor data;

[0099] Calculate material costs based on the cost data in the first data;

[0100] Calculating the processing cost according to the preset cost accounting elements, the working time data of each workstation, the labor rate and the production node cost;

[0101] The production cost is calculated based on the additional cost, the material cost, and the processing cost.

[0102] Specifically, the additional costs may include, but are not limited to, the transportation costs of the products; the labor rate is the proportion of labor costs to the costs of the production node; the total working hours of the i-th production node is the sum of the working hours of each workstation in the i-th production node.

[0103] In one embodiment of the present invention, generating an evaluation report based on the production cost of the product and the data of all production nodes includes:

[0104] Calculating the difference between the production cost of the product and the data of the production node;

[0105] The evaluation report is generated according to the production cost of the product, the data of the production node, and the difference, and suggestions are provided in the evaluation report according to the difference.

[0106] Specifically, a first threshold value set by a user based on the data of the production node is obtained, and when the production cost of the product exceeds the first threshold value, suggestions for controlling the production cost are provided in the evaluation report. When the production cost of the product exceeds the first threshold value, the production cost of each production node of the product and the predicted cost of each production node of the product predicted based on the data of the production node are output, and a second threshold value set by the user based on the predicted cost is obtained, and when the production cost exceeds the second threshold value, prompt information is generated to prompt the user to control the production cost, and suggestions for controlling the production cost are provided according to preset rules.

[0107] The present invention obtains and stores data of all production nodes of a product, receives and stores production factor data of the product, obtains first data matching the production factor data from the data of the production node, determines the number of workstations for producing the product based on the first data and the production factor data, and calculates the working hours of each workstation, calculates the production cost of the product based on preset cost accounting elements, the first data, the working hours of each workstation and the production factor data, and generates an evaluation report based on the production cost of the product and the data of all production nodes, thereby improving the accuracy and efficiency of product production cost evaluation and effectively reducing the labor cost of product production cost evaluation.

[0108] Example 2

[0109] Figure 2 FIG. 4 is a structural diagram of a product production cost evaluation device 30 in one embodiment of the present invention.

[0110] In some embodiments, the product production cost evaluation device 30 runs in an electronic device. The product production cost evaluation device 30 may include a plurality of functional modules composed of program code segments. The program code of each program segment in the product production cost evaluation device 30 may be stored in a memory and executed by at least one processor to perform the product production cost evaluation function.

[0111] In this embodiment, the product production cost evaluation device 30 can be divided into multiple functional modules according to the functions it performs. Figure 2 As shown, the product production cost evaluation device 30 may include a data acquisition module 301, a data input module 302, a production process analysis module 303, a workstation working time data analysis module 304 and a cost evaluation module 305. The module referred to in the present invention refers to a series of computer program segments that can be executed by at least one processor and can complete fixed functions, which are stored in a memory. In some embodiments, the functions of each module will be described in detail in subsequent embodiments.

[0112] The data acquisition module 301 acquires and stores data of all production nodes of a product.

[0113] In one embodiment of the present invention, all the production nodes include milling machines, grinders, wire cutting, CNC machine tool processing, programs, sheet metal, and surface treatment.

[0114] In one embodiment of the present invention, the data acquisition module 301 acquires and stores the data of all production nodes including:

[0115] Acquire and store the process data, working time data and cost data of all production nodes, wherein the process data include the process data of the milling machine, the process data of the grinding machine, the process data of the wire cutting, the process data of the discharge, the process data of the CNC machine tool processing, the process data of the program, the process data of the sheet metal, and the process data of the surface treatment; the cost data include the cost data of the milling machine, the cost data of the grinding machine, the cost data of the wire cutting, the cost data of the discharge, the cost data of the CNC machine tool processing, the cost data of the program, the cost data of the sheet metal, and the cost data of the surface treatment; the working time data include the working time data of the milling machine, the working time data of the grinding machine, the working time data of the wire cutting, the working time data of the discharge, the working time data of the CNC machine tool processing, the working time data of the program, the working time data of the sheet metal, and the working time data of the surface treatment.

[0116] In one embodiment of the present invention, the data acquisition module 301 can collect the process data of the milling machine, the working time data of the milling machine, the cost data of the milling machine, the process data of the grinding machine, the working time data of the grinding machine, the cost data of the grinding machine, the process data of wire cutting, the working time data of wire cutting, the cost data of wire cutting, the process data of discharge, the working time data of discharge, the cost data of discharge, the process data of CNC machine tool processing, the working time data of CNC machine tool processing, the cost data of CNC machine tool processing, the process data of the program, the working time data of the program, the cost data of the program, the process data of the sheet metal, the working time data of the sheet metal, the cost data of the sheet metal, the process data of surface treatment, the working time data of surface treatment, and the cost data of surface treatment from the procurement system and / or the material management system and / or the production management system and / or the processing equipment.

[0117] The data input module 302 receives and stores the production factor data of the product.

[0118] In one embodiment of the present invention, the data input module 302 receives and stores the production factor data of the product including:

[0119] Receive and store the design data, processing drawing data, part shape data and processing requirement data of the product.

[0120] In one embodiment of the present invention, after receiving and storing the production factor data of the product, the method further includes:

[0121] Determining whether the production factor data conforms to a preset first rule;

[0122] When the production factor data does not conform to the preset first rule, a first prompt message is generated to prompt the user to modify the production factor data.

[0123] Specifically, when the production factor data does not comply with the preset first rule, the user input is determined to be incorrect, and the first prompt information is generated, the first prompt information including the preset first rule and the data in the production factor data that does not comply with the preset first rule, and the first prompt information is sent to the user.

[0124] Specifically, in other implementations of the present invention, when the production factor data conforms to the preset first rule, the user can modify the production factor data.

[0125] The production process analysis module 303 obtains first data matching the production factor data from the data of the production node.

[0126] In one embodiment of the present invention, the production process analysis module 303 obtains the first data matching the production factor data from the data of the production node, including:

[0127] Acquire a keyword of the production factor data, and match the data of the production node according to the keyword of the production factor data;

[0128] When there is data of a production node in the data of the production node that matches the keyword of the production factor data, the process data and the corresponding working time data in the data of the production node are used as the first data; or when there is no data of a production node in the data of the production node that matches the keyword of the production factor data, a second prompt information is generated to prompt the user to supplement the data of the production node.

[0129] In other embodiments of the present invention, the production process analysis module 303 obtains first data matching the production factor data from the data of the production node, including:

[0130] Using the data of the production node to train a support vector machine model to obtain a classification model;

[0131] The production factor data is input into the classification model, and the classification model is used to classify the production factor data to obtain the category of the production factor data, and the process data and working time data in the data of the production node corresponding to the category of the production factor data are used as the first data.

[0132] The workstation working time data analysis module 304 determines the number of workstations for producing the product according to the first data and the production factor data, and calculates the working time of each workstation.

[0133] In one embodiment of the present invention, the workstation working time data analysis module 304 determines the number of workstations for producing the product according to the first data and the production factor data, and calculates the working time of each workstation, including:

[0134] Determine the number of workstations for producing the product according to the first data and the production factor data;

[0135] Calculate the processing volume of each working hour of each production node process according to the process data and the working hour data in the first data;

[0136] Calculate the total workload of each production node required to produce the product according to the production factor data and the process data;

[0137] The working hours of each workstation are calculated according to the processing volume of each working hour of each production node process, the total workload of each production node and the number of workstations.

[0138] In other embodiments of the present invention, the workstation working time data analysis module 304 determines the number of workstations for producing the product according to the first data and the production factor data, and calculates the working time of each workstation, including:

[0139] Determine the number of workstations for producing the product according to the first data and the production factor data;

[0140] Training a regression model according to the process data and the working time data of each production node in the first data;

[0141] Inputting the process data in the production process element data into the regression model, and using the regression model to calculate the total workload of each production node;

[0142] The working hours of each workstation are calculated according to the processing volume of each working hour of each production node process, the total workload of each production node and each workstation.

[0143] The cost evaluation module 305 calculates the production cost of the product according to the preset cost accounting elements, the first data, the working hours of each workstation and the production factor data, and generates an evaluation report according to the production cost of the product and the data of all production nodes.

[0144] In one embodiment of the present invention, the calculation formula of the production cost is: Where C is the production cost of the product, O is the additional cost, N is the number of all production nodes, M i is the material cost of the i-th production node, ZC iis the production node cost of the i-th production node, T i is the total working hours of the i-th production node, H i is the labor rate of the ith production node.

[0145] In one embodiment of the present invention, the cost evaluation module 305 calculates the production cost according to the preset cost accounting elements, the first data, the working hours of each workstation and the production factor data, including:

[0146] Calculate additional costs based on the production factor data and the preset cost accounting elements;

[0147] Calculate labor rate and production node cost according to cost data and labor time data in the production factor data;

[0148] Calculate material costs based on the cost data in the first data;

[0149] Calculating the processing cost according to the preset cost accounting elements, the working time data of each workstation, the labor rate and the production node cost;

[0150] The production cost is calculated based on the additional cost, the material cost, and the processing cost.

[0151] Specifically, the additional costs may include, but are not limited to, the transportation costs of the products; the labor rate is the proportion of labor costs to the costs of the production node; the total working hours of the i-th production node is the sum of the working hours of each workstation in the i-th production node.

[0152] In one embodiment of the present invention, the cost evaluation module 305 calculates the production cost of the product according to the preset cost accounting elements, the first data, the working hours of each workstation and the production factor data, including:

[0153] Calculating the difference between the production cost of the product and the data of the production node;

[0154] The evaluation report is generated according to the production cost of the product, the data of the production node, and the difference, and suggestions are provided in the evaluation report according to the difference.

[0155] Specifically, a first threshold value set by a user based on the data of the production node is obtained, and when the production cost of the product exceeds the first threshold value, suggestions for controlling the production cost are provided in the evaluation report. When the production cost of the product exceeds the first threshold value, the production cost of each production node of the product and the predicted cost of each production node of the product predicted based on the data of the production node are output, and a second threshold value set by the user based on the predicted cost is obtained, and when the production cost exceeds the second threshold value, prompt information is generated to prompt the user to control the production cost, and suggestions for controlling the production cost are provided according to preset rules.

[0156] The present invention obtains and stores data of all production nodes of a product, receives and stores production factor data of the product, obtains first data matching the production factor data from the data of the production node, determines the number of workstations for producing the product based on the first data and the production factor data, and calculates the working hours of each workstation, calculates the production cost of the product based on preset cost accounting elements, the first data, the working hours of each workstation and the production factor data, and generates an evaluation report based on the production cost of the product and the data of all production nodes, thereby improving the accuracy and efficiency of product production cost evaluation and effectively reducing the labor cost of product production cost evaluation.

[0157] Example 3

[0158] Figure 3 FIG. 6 is a schematic diagram of an electronic device 6 according to an embodiment of the present invention.

[0159] The electronic device 6 includes a memory 61, a processor 62, and a computer program 63 stored in the memory 61 and executable on the processor 62. When the processor 62 executes the computer program 63, the steps in the above-mentioned product production cost evaluation method embodiment are implemented, for example: Figure 1 Alternatively, when the processor 62 executes the computer program 63, the functions of each module / unit in the above-mentioned product production cost evaluation device embodiment are realized, for example Figure 2 Modules 301 to 305 in.

[0160] Exemplarily, the computer program 63 may be divided into one or more modules / units, which are stored in the memory 61 and executed by the processor 62 to implement the present invention. The one or more modules / units may be a series of computer program instruction segments capable of implementing specific functions, and the instruction segments are used to describe the execution process of the computer program 63 in the electronic device 6. For example, the computer program 63 may be divided into Figure 2The data acquisition module 301, data input module 302, production process analysis module 303, workstation working time data analysis module 304 and cost evaluation module 305, the specific functions of each module refer to Example 2.

[0161] In this embodiment, the electronic device 6 may be a computing device such as a desktop computer, a notebook, a PDA, a server, a cloud terminal device, etc. Those skilled in the art will appreciate that the schematic diagram is merely an example of the electronic device 6 and does not constitute a limitation on the electronic device 6. The electronic device 6 may include more or fewer components than shown in the diagram, or may combine certain components, or different components. For example, the electronic device 6 may also include input and output devices, network access devices, buses, etc.

[0162] The processor 62 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or the processor 62 may be any conventional processor, etc. The processor 62 is the control center of the electronic device 6, and uses various interfaces and lines to connect various parts of the entire electronic device 6.

[0163] The memory 61 can be used to store the computer program 63 and / or modules / units. The processor 62 implements various functions of the electronic device 6 by running or executing the computer program and / or modules / units stored in the memory 61 and calling the data stored in the memory 61. The memory 61 can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area can store data created according to the use of the electronic device 6 (such as audio data, a phone book, etc.), etc. In addition, the memory 61 can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0164] If the module / unit integrated in the electronic device 6 is implemented in the form of a software function module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electrical carrier signal, telecommunication signal and software distribution medium, etc.

[0165] In the several embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only illustrative, for example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation.

[0166] In addition, the functional modules in the various embodiments of the present invention may be integrated into the same processing module, or each module may exist physically separately, or two or more modules may be integrated into the same module. The above-mentioned integrated modules may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0167] It is obvious to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential features of the present invention. Therefore, from any point of view, the embodiments should be regarded as exemplary and non-restrictive, and the scope of the present invention is defined by the appended claims rather than the above description, and it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims are included in the present invention. Any figure mark in the claims should not be regarded as limiting the claims involved. In addition, it is obvious that the word "comprising" does not exclude other modules or steps, and the singular does not exclude the plural. Multiple modules or electronic devices stated in the electronic device claim can also be implemented by the same module or electronic device through software or hardware. The words first, second, etc. are used to indicate names, and do not indicate any particular order.

[0168] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A method for evaluating product production costs, characterized in that: The product production cost assessment method includes: Acquire and store data of all production nodes of the product; Receiving and storing the production factor data of the product, including: receiving and storing the design data, processing drawing data, part shape data and processing requirement data of the product; Acquire first data matching the production factor data from the data of the production node; wherein the first data includes process data and corresponding working time data in the data of the production node; Determine the number of workstations for producing the product according to the first data and the production factor data, and calculate the working hours of each workstation, including: calculating the processing volume of each working hour of each production node process according to the process data and the working hour data in the first data; calculating the total workload of each production node required to produce the product according to the production factor data and the process data; calculate the working hours of each workstation according to the processing volume of each working hour of each production node process, the total workload of each production node and the number of workstations; The production cost of the product is calculated based on the preset cost accounting elements, the first data, the working hours of each workstation and the production factor data, and an evaluation report is generated based on the production cost of the product and the data of all production nodes.

2. The product production cost evaluation method according to claim 1, characterized in that: The calculation formula of the production cost is: ,in, is the production cost of the product, For additional cost, is the number of all production nodes, is the material cost of the i-th production node, is the production node cost of the i-th production node, is the total working hours of the i-th production node, is the labor rate of the i-th production node.

3. The product production cost evaluation method according to claim 1, characterized in that: The acquisition and storage of data of all production nodes includes: Acquire and store the process data, working time data and cost data of all production nodes, wherein the process data include the process data of the milling machine, the process data of the grinding machine, the process data of the wire cutting, the process data of the discharge, the process data of the CNC machine tool processing, the process data of the program, the process data of the sheet metal, and the process data of the surface treatment; the cost data include the cost data of the milling machine, the cost data of the grinding machine, the cost data of the wire cutting, the cost data of the discharge, the cost data of the CNC machine tool processing, the cost data of the program, the cost data of the sheet metal, and the cost data of the surface treatment; the working time data include the working time data of the milling machine, the working time data of the grinding machine, the working time data of the wire cutting, the working time data of the discharge, the working time data of the CNC machine tool processing, the working time data of the program, the working time data of the sheet metal, and the working time data of the surface treatment.

4. The product production cost evaluation method according to claim 1, characterized in that: After receiving and storing the production factor data of the product, the following steps are further included: Determining whether the production factor data conforms to a preset first rule; When the production factor data does not conform to the preset first rule, a first prompt message is generated to prompt the user to modify the production factor data.

5. The product production cost evaluation method according to claim 3, characterized in that: Acquiring first data matching the production factor data from the data of the production node includes: Acquire a keyword of the production factor data, and match the data of the production node according to the keyword of the production factor data; When there is data of a production node in the data of the production node that matches the keyword of the production factor data, the process data and the corresponding working time data in the data of the production node are used as the first data; or when there is no data of a production node in the data of the production node that matches the keyword of the production factor data, a second prompt information is generated to prompt the user to supplement the data of the production node.

6. The product production cost evaluation method according to claim 1, characterized in that: The calculating of the production cost according to the preset cost accounting elements, the first data, the working hours of each workstation and the production factor data includes: Calculate additional costs based on the production factor data and the preset cost accounting elements; Calculate labor rate and production node cost according to cost data and labor time data in the production factor data; Calculate material costs based on the cost data in the first data; Calculating the processing cost according to the preset cost accounting elements, the working time data of each workstation, the labor rate and the production node cost; The production cost is calculated based on the additional cost, the material cost, and the processing cost.

7. A cost assessment device, comprising a module for implementing the product production cost assessment method according to any one of claims 1 to 6, characterized in that: The device comprises: A data acquisition module, used to acquire and store data of production nodes; A data input module, used for receiving and storing input production factor data; A production process analysis module, used to obtain first data corresponding to the stored production factor data from the data of the production node; wherein the first data includes process data and corresponding working time data from the data of the production node; A workstation working time data analysis module, used to calculate the working time of each workstation according to the first data and the production factor data using the corresponding production node working time calculation data model; The cost evaluation module is used to calculate the production cost based on the preset cost accounting elements, the first data, the working hours of each workstation and the production factor data.

8. An electronic device, characterized in that: The electronic device comprises: a memory storing at least one instruction; and A processor executes instructions stored in the memory to implement the product production cost evaluation method according to any one of claims 1 to 6.

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