CN107016463A - Method of Product Cost Prediction method and system - Google Patents
Method of Product Cost Prediction method and system Download PDFInfo
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- CN107016463A CN107016463A CN201710224967.1A CN201710224967A CN107016463A CN 107016463 A CN107016463 A CN 107016463A CN 201710224967 A CN201710224967 A CN 201710224967A CN 107016463 A CN107016463 A CN 107016463A
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- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
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Abstract
The present invention relates to forecasting of cost field, a kind of Method of Product Cost Prediction method and system are provided, the system includes parameter setting module, finished product selecting module, material sequence computing module, material cost computing module, totle drilling cost computing module and forecasting of cost list generation module.Technical scheme proposed by the present invention can quickly help user to calculate the actual cost of finished product, judge whether sales order can guarantee that reasonable profit, and quickly generate sales quotation list, and provide the detailed data of quotation.
Description
Technical field
The invention belongs to forecasting of cost field, more particularly to a kind of Method of Product Cost Prediction method and system.
Background technology
Enterprise for product when formulating sales quotation, it is necessary to which the material for being apparent from product is constituted and current reality
Cost, just can ensure that reasonable profit.This, which is accomplished by user, can easily inquire about the material composition and various materials of finished product
Actual cost, and the various expenses of finished product in process of production can be counted on.However, in traditional business administration and information
In change system, the cost of product can only be but actual regularly by adjusting the reference of material into the cost of original record product
In production, the change of the material of product is very common, and material purchases price fluctuation is larger, by reference into it is original adjust finished product into
This mode can not accurately reflect the actual cost of current production, it is impossible to provide accurate when formulating sales quotation for user
Data reference.
The content of the invention
It is an object of the invention to provide a kind of Method of Product Cost Prediction method and system, produced with helping user to adjust in real time
The actual cost of finished product, data reference is provided when formulating sales quotation for user.
The present invention is achieved by the following technical solutions.
Present invention firstly relates to a kind of Method of Product Cost Prediction method, it includes:
User specifies the material cost acquisition mode and material expansion relation of finished product;
Select the finished product of cost to be predicted;
The material expansion relation for the finished product specified according to user, calculates the material sequence of selected finished product;
The material cost acquisition mode for the finished product specified according to user captures corresponding material cost, collects each material
Cost obtains material cost aggregate value;
User specifies other fees value at cost, the other fees value at cost specified according to material cost aggregate value and user
The totle drilling cost predicted value of product is obtained, manufacturing cost prediction is single, and the forecasting of cost list at least includes finished product title, finished product
The totle drilling cost predicted value of quantity and finished product.
As a preferred embodiment, the method for the finished product of the selection cost to be predicted is:Selective selling is ordered
List or production schedule list, read finished product title and finished product quantity from sales order or production schedule list.
As another preferred embodiment, the method for the finished product of the selection cost to be predicted is manual typing production
Finished product title and finished product quantity.
As another preferred embodiment, the material cost acquisition mode of the finished product is included according to nearest buying
Unit price obtains, obtains and obtained according to quota cost according to material surplus last month cost.
Price list is generated as another preferred embodiment, in addition to according to forecasting of cost list:By forecasting of cost list
In finished product title, the corresponding field in the totle drilling cost predicted value of finished product quantity and finished product write-in price list to be to generate report
Valency list.
The invention further relates to a kind of Method of Product Cost Prediction system, it includes parameter setting module, finished product selecting module, material
Expect sequence computing module, material cost computing module, totle drilling cost computing module and forecasting of cost list generation module,
The parameter setting module is configured to:Specify the material cost acquisition mode and material expansion relation of finished product;
The finished product selecting module is configured to:Select the finished product of cost to be predicted;
The material sequence computing module is configured to:The material expansion relation for the finished product specified according to user, is calculated
The material sequence of selected finished product;
The material cost computing module is configured to:The material cost acquisition mode for the finished product specified according to user is grabbed
Corresponding material cost is taken, collects each material cost and obtains material cost aggregate value;
The totle drilling cost computing module is configured to:The other fees specified according to material cost aggregate value and user into
Originally it is worth to the totle drilling cost predicted value of product;
The forecasting of cost list generation module is used for manufacturing cost and predicts list, and the forecasting of cost list at least includes finished product
The totle drilling cost predicted value of title, finished product quantity and finished product.
As a preferred embodiment, the finished product selecting module is specifically configured to:Selective selling order or
Production schedule list, reads finished product title and finished product quantity from sales order or production schedule list.
As another preferred embodiment, the finished product selecting module is specifically configured to:Manual typing is produced into
The name of an article claims and finished product quantity.
As another preferred embodiment, the material cost acquisition mode of the finished product is included according to nearest buying
Unit price obtains, obtains and obtained according to quota cost according to material surplus last month cost.
As another preferred embodiment, in addition to the single generation module of prediction, the prediction list generation module by with
It is set to:By in the totle drilling cost predicted value write-in price list of the finished product title in forecasting of cost list, finished product quantity and finished product
Corresponding field to generate price list.
Technical scheme proposed by the present invention has the advantages that:
The present invention can quickly help user to calculate the actual cost of finished product, judge whether sales order can guarantee that
Reasonable profit, and sales quotation list is quickly generated, and the detailed data of quotation is provided.
Brief description of the drawings
Fig. 1 is the theory diagram for the Method of Product Cost Prediction system that embodiments of the invention one are provided.
Fig. 2 is the theory diagram for the Method of Product Cost Prediction system that embodiments of the invention two are provided.
Fig. 3 is the flow chart for the Method of Product Cost Prediction method that embodiments of the invention three are provided.
Fig. 4 is the flow chart for the Method of Product Cost Prediction method that embodiments of the invention four are provided.
Embodiment
To make the object, technical solutions and advantages of the present invention clearer, below by the embodiment of the present invention
Carry out clear, complete description.
Fig. 1 is the theory diagram for the Method of Product Cost Prediction system that embodiments of the invention one are provided.As shown in figure 1, this is
System includes parameter setting module, finished product selecting module, material sequence computing module, material cost computing module, totle drilling cost meter
Calculate module and forecasting of cost list generation module.
In the embodiment, parameter setting module is configured to:Specify material cost acquisition mode and the material exhibition of finished product
Open relation.Further, as a kind of more specifically embodiment, the material cost acquisition mode of finished product is included according to adopting recently
Buying order valency obtains, obtains and obtained according to quota cost according to material surplus last month cost.If selection is according to nearest buying order
Valency is obtained, then in the forecasting of cost of finished product, and what the material cost of finished product can capture that the material stocks up in the last time adopts
Buying order valency, is compared by transfer items date that logs in of date and active user of the document of receiving tally, day is logged in closest to user
The unit price of procurement of the material tail row is defined as nearest unit price of procurement on the receiving tally document of phase, when selecting nearest unit price of procurement,
Also need to user and specify whether procurement price contains tax, if user specifies " purchasing price contain tax ", capture material cost when
Corresponding valency containing duty receipt in crawl receiving tally is waited, if user specifies " purchasing price is free of tax ", what is captured is that material is being stocked up
Corresponding non-duty receipt valency in list.If selection is obtained according to material surplus last month cost, the cost of material can capture the material and exist
Unit cost during last accounting month surplus.If selection is obtained according to quota cost, it is pre- that the cost of material can capture the material
If quota cost, the quota cost of predeterminable material in stock archives basic data.In addition, the material of finished product also can be set
Expect expansion mode (can also claim BOM expansion modes), may be selected to be expanded to N grades and be expanded to final stage, the numeral that N is represented can be 1
~20, selection is expanded to after N grades, in the material list body of forecasting of cost list, only N grades of the BOM of finished product can be shown to, more than N
The material of level will not be shown.
In the embodiment, finished product selecting module is configured to:Select the finished product of cost to be predicted.Further, as
A kind of more specifically embodiment, finished product selecting module is specifically configured to:Selective selling order or production schedule list, from pin
Sell and finished product title and finished product quantity are read in order or production schedule list, specifically, if selection is sales order, read
What is taken is customer name in sales order, finished product title, finished product quantity and source odd numbers, consumption sum;If selection
It is production schedule list, then what is read is to plan finished product title, finished product quantity and the source odd numbers in list.As it is another more
Specific embodiment, finished product selecting module is specifically configured to:Manual typing finished product title and finished product quantity.To sum up
Understand, present embodiments provide the mode of the finished product of two kinds of selection costs to be predicted.
In the embodiment, material sequence computing module is configured to:The material expansion for the finished product specified according to user is closed
System, calculates the material sequence of selected finished product.Specifically, during calculating, first by the BOM expansion modes of parameter setting
The expansion series of setting, it is mono- with reference to the current BOM of finished product, following table body material pages show finished product material constitute and
Standardized amount, loss quantity and actual use quantity, standardized amount formula is:BOM consumption * upper table body quantity;Quantity is lost public
Formula is:BOM waste * quantity;Actual use quantity gives tacit consent to computational methods:Standardized amount+loss quantity.
In the embodiment, material cost computing module is configured to:The material cost for the finished product specified according to user takes
The mode of obtaining captures corresponding material cost, collects each material cost and obtains material cost aggregate value.Specifically, material sequence meter
Module is calculated to obtain after the material sequence of finished product, according to the material cost acquisition mode set in parameter setting, crawl material
Unit cost, calculates material cost, and computational methods are:Actual use quantity * unit costs, round up two-decimal.Meter
Calculate after material cost, be filled into the material cost field of correspondence finished product in upper table body., can if necessary to statistics expense
The expense item of this secondary typing is selected, then typing unit costs cost, system can calculate Fee Amount, computational methods
For:Quantity * unit costs costs, what amount field was brought into automatically is the quantity of upper table body.Upper table body achieve material cost and
After Fee Amount, system will calculate total cost automatically, and the computational methods of total cost are:Material cost+Fee Amount+profit
Profit volume.Further, can also be according to actual conditions, manual typing profit margin or profit margin, during typing profit margin, system will be certainly
Dynamic to calculate profit margin, during typing profit margin, system will also calculate profit margin automatically, the conversion between profit margin and profit margin
Formula is:(material cost+Fee Amount) * profit margins=profit margin.In addition, user can also typing discount, if user's typing
Discount, the price list that discount will influence forecasting of cost list to generate.
In the embodiment, totle drilling cost computing module is configured to:Specified according to material cost aggregate value and user its
His expense cost is worth to the totle drilling cost predicted value of finished product.Specifically, according to material cost aggregate value, add up expense cost,
Obtain the totle drilling cost predicted value of finished product.
In the embodiment, forecasting of cost list generation module is used for manufacturing cost and predicts list, and forecasting of cost list includes finished product
The totle drilling cost predicted value of title, finished product quantity and finished product, further, if user passes through material cost computing module typing
Discount, then forecasting of cost list can also include rebate value.
By increasing price list generation module in the forecasting of cost system in above-described embodiment one, embodiment can be obtained
Two, Fig. 2 are the theory diagram for the Method of Product Cost Prediction system that embodiments of the invention two are provided, as shown in Fig. 2 the product cost
Forecasting system also includes price list generation module, and the price list generation module is specifically configured to:By the production in forecasting of cost list
Corresponding field in the totle drilling cost predicted value write-in price list of finished product title, finished product quantity and finished product is to generate price list.
Embodiment two can obtain price list by increasing the single generation module of prediction, in addition, in the embodiment, if forecasting of cost list bag
Rebate value is included, then price list generation module can also write rebate value the corresponding field of price list.
Specifically, carrying out the method for Method of Product Cost Prediction using system provided in an embodiment of the present invention, it may be referred to following
Corresponding embodiment of the method.
Fig. 3 is the flow chart for the Method of Product Cost Prediction method that embodiments of the invention three are provided, as shown in figure 3, this method
Comprise the following steps:
Step S1:User specifies the material cost acquisition mode and material expansion relation of finished product.
In the step, as a kind of more specifically embodiment, the material cost acquisition mode of finished product is included according to most
Nearly unit price of procurement obtains, obtains and obtained according to quota cost according to material surplus last month cost.If selection according to adopting recently
Buying order valency is obtained, then in the forecasting of cost of finished product, the material cost of finished product can capture the material and be stocked up in the last time
Unit price of procurement, be compared, stepped on closest to user by transfer items date that logs in of date and active user of the document of receiving tally
The unit price of procurement of the material tail row is defined as nearest unit price of procurement on the receiving tally document on land date, selects nearest unit price of procurement
When, in addition it is also necessary to user specifies whether procurement price contains tax, if user specifies " purchasing price contains tax ", in crawl material cost
When crawl receiving tally in corresponding valency containing duty receipt, if user specifies " purchasing price without tax ", what is captured is that material is entering
Corresponding non-duty receipt valency in manifest.If selection is obtained according to material surplus last month cost, the cost of material can capture the material
Unit cost in last accounting month surplus.If selection is obtained according to quota cost, the cost of material can capture the material
Default quota cost, the quota cost of predeterminable material in stock archives basic data.In addition, finished product also can be set
BOM expansion modes, may be selected to be expanded to N grades and are expanded to final stage, and the numeral that N is represented can be 1~20, and selection is expanded to N grades
Afterwards, in the material list body of forecasting of cost list, N grades of the BOM of finished product only can be shown to, the material more than N grades will not be shown.
Step S2:Select the finished product of cost to be predicted.
Specifically, the present embodiment provides the mode of the finished product of two kinds of selection costs to be predicted, and a kind of mode is:Selection pin
Order or production schedule list are sold, finished product title and finished product quantity are read from sales order or production schedule list, specifically,
If selection is sales order, what is read is customer name, finished product title, finished product quantity and the source in sales order
Odd numbers, consumption sum;If selection is production schedule list, what is read is to plan finished product title, the finished product quantity in list
And source odd numbers.Another way is:Manual typing finished product title and finished product quantity.
Step S3:Calculate the material sequence of selected finished product.
In the step, the material expansion relation for the finished product specified according to user calculates the material of selected finished product
Sequence.Specifically, during calculating, first by the expansion series set in the BOM expansion modes of parameter setting, work as with reference to finished product
Preceding BOM is mono-, shows that the material of finished product is constituted and standardized amount, loss quantity and actual use in following table body material pages
Quantity, standardized amount formula is:BOM consumption * upper table body quantity;Quantity formula, which is lost, is:BOM waste * quantity;Actual use
Quantity gives tacit consent to computational methods:Standardized amount+loss quantity.
Step S4:Corresponding material cost is captured, collects each material cost and obtains material cost aggregate value.
Specifically, after the material sequence for obtaining finished product, according to the material cost acquisition mode set in parameter setting, grab
The unit cost drawn materials, calculates material cost, and computational methods are:Actual use quantity * unit costs, round up two
Decimal.Calculate after material cost, be filled into the material cost field of correspondence finished product in upper table body.If necessary to count
Expense, may be selected the expense item of this secondary typing, then typing unit costs cost, and system can calculate Fee Amount,
Computational methods are:Quantity * unit costs costs, what amount field was brought into automatically is the quantity of upper table body.Upper table body achieves material
Expect after cost and Fee Amount, system will calculate total cost automatically, the computational methods of total cost are:Material cost+take
With the amount of money+profit margin.Further, can also be according to actual conditions, manual typing profit margin or profit margin, typing profit margin
When, system will calculate profit margin automatically, during typing profit margin, and system will also calculate profit margin, profit margin and profit automatically
Reduction formula between volume is:(material cost+Fee Amount) * profit margins=profit margin.In addition, user can also typing discount,
If user's typing discount, the price list that discount will influence forecasting of cost list to generate.
Step S5:Calculate the totle drilling cost predicted value of finished product.
In the step, the other fees cost specified according to material cost aggregate value and user is worth to the total of finished product
Forecasting of cost value.Specifically, according to material cost aggregate value, add up expense cost, obtains the totle drilling cost predicted value of finished product.
Step S6:Manufacturing cost prediction is single.
Specifically, forecasting of cost list includes the totle drilling cost predicted value of finished product title, finished product quantity and finished product, enters one
Step, if user's typing discount in step s 4, forecasting of cost list can also include rebate value.
By increasing step S7 in the forecasting of cost method in above-described embodiment three, example IV can be obtained, Fig. 4 is
The flow chart for the Method of Product Cost Prediction method that embodiments of the invention four are provided, as shown in figure 4, this method also includes:
Step S7:Generate price list.
The totle drilling cost predicted value of finished product title in forecasting of cost list, finished product quantity and finished product is write into price list
In corresponding field to generate price list.Example IV can obtain price list by increasing the single generation module of prediction, in addition, should
In embodiment, if forecasting of cost list includes rebate value, price list generation module can also write rebate value pair of price list
Answer field.
One of ordinary skill in the art will appreciate that:Realizing all or part of step of above-mentioned each method embodiment can lead to
The related hardware of programmed instruction is crossed to complete.Foregoing program can be stored in computer read/write memory medium.The program
Upon execution, the step of including above-mentioned each method embodiment is performed;And foregoing storage medium includes:ROM, RAM, magnetic disc or
CD etc. is various can be with the medium of store program codes.
As can be seen from the above embodiments, the embodiment of the present invention can quickly help user to calculate the reality of finished product
Cost, judges whether sales order can guarantee that reasonable profit, and quickly generates sales quotation list, and provides the detailed number of quotation
According to.
In addition, it is necessary to illustrate, the embodiment of foregoing description is a part of embodiment of the present invention, rather than is all implemented
Example, nor limitation of the present invention.Based on embodiments of the invention, those of ordinary skill in the art are not paying creative labor
The every other embodiment obtained under the premise of dynamic, belongs to protection scope of the present invention.
Claims (10)
1. a kind of Method of Product Cost Prediction method, it is characterised in that including:
User specifies the material cost acquisition mode and material expansion relation of finished product;
Select the finished product of cost to be predicted;
The material expansion relation for the finished product specified according to user, calculates the material sequence of selected finished product;
The material cost acquisition mode for the finished product specified according to user captures corresponding material cost, collects each material cost
Obtain material cost aggregate value;
User specifies other fees value at cost, and the other fees cost specified according to material cost aggregate value and user is worth to
The totle drilling cost predicted value of finished product, manufacturing cost prediction is single, and the forecasting of cost list at least includes finished product title, finished product number
The totle drilling cost predicted value of amount and finished product.
2. Method of Product Cost Prediction method according to claim 1, it is characterised in that the production of the selection cost to be predicted into
The method of product is:Selective selling order or production schedule list, from sales order or production schedule list read finished product title and
Finished product quantity.
3. Method of Product Cost Prediction method according to claim 1, it is characterised in that the production of the selection cost to be predicted into
The method of product is manual typing finished product title and finished product quantity.
4. Method of Product Cost Prediction method according to claim 1, it is characterised in that the material cost of the finished product is obtained
Mode includes obtaining according to nearest unit price of procurement, obtains and obtained according to quota cost according to material surplus last month cost.
5. Method of Product Cost Prediction method according to claim 1, it is characterised in that also including being generated according to forecasting of cost list
Price list:The totle drilling cost predicted value of finished product title in forecasting of cost list, finished product quantity and finished product is write into price list
In corresponding field to generate price list.
6. a kind of Method of Product Cost Prediction system, it is characterised in that including parameter setting module, finished product selecting module, material sequence
Computing module, material cost computing module, totle drilling cost computing module and forecasting of cost list generation module,
The parameter setting module is configured to:Specify the material cost acquisition mode and material expansion relation of finished product;
The finished product selecting module is configured to:Select the finished product of cost to be predicted;
The material sequence computing module is configured to:The material expansion relation for the finished product specified according to user, calculates selected
The material sequence for the finished product selected;
The material cost computing module is configured to:The material cost acquisition mode crawl pair for the finished product specified according to user
The material cost answered, collects each material cost and obtains material cost aggregate value;
The totle drilling cost computing module is configured to:The other fees value at cost specified according to material cost aggregate value and user
Obtain the totle drilling cost predicted value of finished product;
The forecasting of cost list generation module is used for manufacturing cost and predicts list, and the forecasting of cost list at least includes finished product name
The totle drilling cost predicted value of title, finished product quantity and finished product.
7. Method of Product Cost Prediction system according to claim 6, it is characterised in that the specific quilt of the finished product selecting module
It is configured to:Selective selling order or production schedule list, finished product title is read from sales order or production schedule list and is produced into
Product quantity.
8. Method of Product Cost Prediction system according to claim 6, it is characterised in that the specific quilt of the finished product selecting module
It is configured to:Manual typing finished product title and finished product quantity.
9. Method of Product Cost Prediction system according to claim 6, it is characterised in that the material cost of the finished product is obtained
Mode includes obtaining according to nearest unit price of procurement, obtains and obtained according to quota cost according to material surplus last month cost.
10. Method of Product Cost Prediction system according to claim 6, it is characterised in that also including the single generation module of prediction, institute
The single generation module of prediction is stated to be configured to:By the assembly of the finished product title in forecasting of cost list, finished product quantity and finished product
Corresponding field in this predicted value write-in price list is to generate price list.
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Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107506951A (en) * | 2017-10-11 | 2017-12-22 | 金蝶软件(中国)有限公司 | The computational methods and relevant apparatus of a kind of Material Cost |
WO2019237573A1 (en) * | 2018-06-11 | 2019-12-19 | 平安科技(深圳)有限公司 | Price data determining method, electronic device, and medium |
CN111199409A (en) * | 2018-11-16 | 2020-05-26 | 浙江舜宇智能光学技术有限公司 | Cost control method and system for specific product and electronic device |
CN113837685A (en) * | 2021-08-19 | 2021-12-24 | 深圳市亿源通供应链管理有限公司 | Warehouse-out interception method, warehouse logistics system, order system and readable storage medium |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103927609A (en) * | 2013-01-16 | 2014-07-16 | 上海云点信息科技有限公司 | Cost accounting mechanism based on BOM |
CN104866939A (en) * | 2014-02-24 | 2015-08-26 | 上海宝钢国际经济贸易有限公司 | Specific valuation cost accounting method orienting to steel producing and progressing enterprise |
CN106022567A (en) * | 2016-05-09 | 2016-10-12 | 上海恒企教育培训有限公司 | Industrial cost accounting system |
CN106228257A (en) * | 2016-07-08 | 2016-12-14 | 中冶赛迪工程技术股份有限公司 | A kind of cost analysis towards iron and steel enterprise's production process and assessment system and method |
-
2017
- 2017-04-07 CN CN201710224967.1A patent/CN107016463A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103927609A (en) * | 2013-01-16 | 2014-07-16 | 上海云点信息科技有限公司 | Cost accounting mechanism based on BOM |
CN104866939A (en) * | 2014-02-24 | 2015-08-26 | 上海宝钢国际经济贸易有限公司 | Specific valuation cost accounting method orienting to steel producing and progressing enterprise |
CN106022567A (en) * | 2016-05-09 | 2016-10-12 | 上海恒企教育培训有限公司 | Industrial cost accounting system |
CN106228257A (en) * | 2016-07-08 | 2016-12-14 | 中冶赛迪工程技术股份有限公司 | A kind of cost analysis towards iron and steel enterprise's production process and assessment system and method |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107506951A (en) * | 2017-10-11 | 2017-12-22 | 金蝶软件(中国)有限公司 | The computational methods and relevant apparatus of a kind of Material Cost |
WO2019237573A1 (en) * | 2018-06-11 | 2019-12-19 | 平安科技(深圳)有限公司 | Price data determining method, electronic device, and medium |
CN111199409A (en) * | 2018-11-16 | 2020-05-26 | 浙江舜宇智能光学技术有限公司 | Cost control method and system for specific product and electronic device |
CN113837685A (en) * | 2021-08-19 | 2021-12-24 | 深圳市亿源通供应链管理有限公司 | Warehouse-out interception method, warehouse logistics system, order system and readable storage medium |
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