CN1641665A - Multi-strong-point inventory analysing system and method - Google Patents
Multi-strong-point inventory analysing system and method Download PDFInfo
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- CN1641665A CN1641665A CN 200410015266 CN200410015266A CN1641665A CN 1641665 A CN1641665 A CN 1641665A CN 200410015266 CN200410015266 CN 200410015266 CN 200410015266 A CN200410015266 A CN 200410015266A CN 1641665 A CN1641665 A CN 1641665A
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Abstract
The invention relates to many strongholds stock analyzing system and method. It comprises that a analyzing job module collected the stock material data from stronghold data base by stronghold computer, conform stock data of each stronghold material, analyze the price tendency, manage the dynamic stock, analyze the stock age and stock cycle, reveal in the form of data combining graph, and analyze the tendency of the number of the stock days, offer waning of the unusual condition. It is good for the corporation to control the stock.
Description
[technical field]
The present invention relates to a kind of inventory management system and method, particularly relate to a kind of many strong points inventory analysis system and method.
[background technology]
For manufacturing enterprise, inventory cost is occupied quite great proportion in the total cost of enterprise, how effectively to control the stock, reducing inventory cost is that an enterprise reduces total cost and the key factor that improves profit, so stock control becomes the important task of manufacturing enterprise.Industry is long-standing and comparatively active to the research of stock control, from reordering points method Enterprise Resources Planning (the Enterprise Resource Planning till now of the forties in 20th century; ERP), stock control always is the emphasis of research.Stock control focus on the tank farm stock of how formulating standard, and carry out stock's adjunctive program according to standard stock and actual inventory, traditional inventory management method and system include (the Reorder Point of reordering points system; ROP), this order point system sends the material procurement order of certain quantity when tank farm stock drops to a certain inventory level that pre-establishes.Traditional inventory management method also includes various batch methods (LotSizing Rule), as pursuing batch method, quantitative batch method, economic order quantity (EOQ) method, periodical evaluation method, regular batch method and least total cost method.
July in 2002 bulletin on the 9th the 6th, 418, No. 416 United States Patent (USP)s, patent name is " inventory management system and method " (Inventory Management System and Method).This patent provides a kind of trace repository storage state to analyze best inventory level and to produce form, and the stock control related personnel can utilize the mode of inquiry to understand the system and method for present tank farm stock state.The existing deficiency of the technology that this patent disclosed is: said method focuses on the management and control of tank farm stock, does not consider the material library state in age.Simultaneously,, need the stock at each strong point in the enterprise be analyzed, but this patent is unfavorable for the management and control of enterprise to the stock not to the inventory analysis and the trend analysis at each strong point of enterprise along with development of economic globalization.Described storehouse is meant the time of material in the warehouse in age, and promptly material is gone into the time of goods to shipment.
[summary of the invention]
Fundamental purpose of the present invention is to provide a kind of many strong points inventory analysis system and method, and it can carry out upward price trend analysis, dynamic inventory management, inventory turnover and Days In Inventory analysis to the stock at the many strong points of enterprise.Described Days In Inventory refers to the ratio of up-to-date day tank farm stock and average day issuance of materials amount of standard.
For achieving the above object, the invention provides a kind of many strong points inventory analysis system, it includes: a plurality of client computers, a network, a connection, an application server, a database, a plurality of strong points computing machine and a plurality of strong points database.Client computer provides interactive user interface for the user, in order to realizing patterned inquiring stock interface, the user by this interactive user interface can carry out database, strong point database maintenance, obtain information, inquire about operations such as each stock material situation from application server.The strong point computing machine places enterprise to be distributed in each stock strong point in the whole world, it is used for gathering the holdings at stock strong point and it is stored in the strong point database, and the supplies on hand data includes item number, name of an article description, quantity, net weight, gross weight, unit price and the total charge etc. of material.Database storing enterprise be distributed in the whole world the holdings and the user profile of the various materials at strong point in stock, wherein holdings include item number, name of an article description, quantity, net weight, gross weight, unit price and total charge, client and the common carrier etc. of strong point code, strong point title, strong point the country one belongs to title, material; User profile includes each user's Email address, the needed holdings that the user sets and the time that sends form etc.Application server includes a series of software function modules, is used for realizing by network many strong points stock's analysis.
Wherein application server includes basic data maintenance module system and is used for related data by the client computer maintenance data base, can increase newly, the holdings in modification and the delete database; One authority setting module system is used for user right is set; One data setting module is used for the data of initialization system; One analyzes the operation module is used for gathering each stock strong point material data by the strong point computing machine from the strong point database, integrate the material data at each stock strong point, carry out the upward price trend analysis, the management dynamic stock, carry out storehouse age and inventory turnover analysis, show in the mode of data, and Days In Inventory trend is analyzed, provide early warning abnormal conditions in conjunction with chart; One report output module is used for according to the analysis result of user's request output to many strong points stock.This analysis operation module comprises that strong point holdings inquiry submodule is used for the user and selects strong point, item number and client etc. one, a plurality of or all as querying condition, obtains to meet the holdings of querying condition from the database of strong point; One price trend analysis submodule is used for carrying out price movement trend analysis in a time period by strong point, Classification of materials, supplier and item number, and shows in the mode of data variation in conjunction with graphic change; One dynamic inventory management submodule is used to add up stockpile number and the amount of money of each material at each strong point, and shows that each material is at the stockpile number of a period of time and the changing trend diagram of the amount of money; One storehouse is analyzed submodule age and is used to add up in different intervals in age, storehouse stockpile number and the amount of money of every kind of material at each strong point, and gathers all stockpile numbers and stock's amount of money; One inventory turnover calculating sub module is used for adding up by material the stock's turnover time of circulating funds and the inventory turnover at each strong point; One stock's early warning submodule is used for the Days In Inventory of each material standard and actual Days In Inventory are compared, if the Days In Inventory of actual Days In Inventory overgauge just shows the caution message; One Days In Inventory trend analysis submodule is used to calculate and shows the Days In Inventory of each material in each every day in month; One data conformity submodule is used for the material data at each strong point of integrated global.
The invention provides a kind of many strong points inventory analysis method, it can carry out upward price trend analysis, dynamic inventory management, inventory turnover and Days In Inventory analysis to the stock at the many strong points of enterprise, and it includes following steps: (a) obtain each strong point material data; (b) analyze the price movement trend of material in a time period by strong point, Classification of materials, supplier and item number, and show in the mode of data variation in conjunction with graphic change; (c) add up stockpile number and the amount of money of each material, and show that each material is at the stockpile number of a period of time and the changing trend diagram of the amount of money at each strong point; (d) storehouse interval every kind of material in age that statistics is different is at the stockpile number and the amount of money at each strong point, and the stockpile number and the stock's amount of money that gather all storehouse fates in age; (e) add up the stock's turnover time of circulating funds and the inventory turnover at each material each strong point between each month; (f) calculate and show the Days In Inventory of each material in the correspondence every day in certain month.
[description of drawings]
Fig. 1 is the hardware structure figure of many strong points of the present invention inventory analysis system.
Fig. 2 is the functional block diagram of application server of the present invention.
Fig. 3 is a strong point inventory analysis page synoptic diagram more than the inventory analysis system of many strong points of the present invention.
Fig. 4 is the operation process chart of many strong points of the present invention inventory analysis method.
Fig. 5 is the upward price trend analytical approach schematic flow sheet of many strong points of the present invention inventory analysis method.
Fig. 6 is the time upward price trend figure of many strong points of the present invention inventory analysis system.
Fig. 7 is the dynamic inventory management method flow synoptic diagram of many strong points of the present invention inventory analysis method.
Fig. 8 is the time tank farm stock trend map of many strong points of the present invention inventory analysis system.
Fig. 9 is storehouse analytical approach in the age schematic flow sheet of many strong points of the present invention inventory analysis method.
Figure 10 is stock's turnover analytical approach schematic flow sheet of many strong points of the present invention inventory analysis method.
[embodiment]
As shown in Figure 1, be the hardware structure figure of many strong points of the present invention inventory analysis system.A plurality of client computers 2 of distributed distribution link to each other with an application server 1 by network 4; This application server 1 connects 5 by one and links to each other with a database 6; The a plurality of stocks strong point computing machine 3 that is distributed in the whole world links to each other with application server 1 by network 4; Strong point computing machine 3 by one connect 5 with its under strong point database 7 link to each other.Wherein, network 4 is a kind of electric network, and it can be intranet (Intranet), Internet (Internet) or other type network; Connecting 5 is that a kind of database connects, as the open type data storehouse connect (OpenDatabase Connectivity, ODBC), perhaps the Java database connect (Java DatabaseConnectivity, JDBC) etc.In the present invention, client computer 2 provides interactive user interface for the user, in order to realizing patterned inquiring stock interface, the user by this interactive user interface can carry out database, strong point database maintenance, obtain information, inquire about operations such as each stock material situation from application server 1.Strong point computing machine 3 places enterprise to be distributed in each stock strong point in the whole world, it is used for gathering the material data at each stock strong point and it is stored in strong point database 7, and the material data includes item number, name of an article description, quantity, net weight, gross weight, unit price and the total charge etc. of material.Database 6 storage enterprises be distributed in the whole world the holdings and the user profile of the various materials at strong point in stock, wherein holdings include item number, name of an article description, quantity, net weight, gross weight, unit price and total charge, client and the common carrier etc. of strong point code, strong point title, strong point the country one belongs to title, material; User profile includes each user's Email address, the needed holdings that the user sets and the time that sends form etc.Application server 1 includes a series of software function modules (as shown in Figure 2), realizes many strong points stock's analysis by network.
As shown in Figure 2, be the functional block diagram of application server 1 of the present invention.This application server 1 includes a basic data maintenance module 10, an authority setting module 11, a data setting module 12, an analysis operation module 13 and a report output module 14.Wherein basic data maintenance module 10 is used for the related data by client computer 2 maintenance data bases 6, can increase newly, the holdings in modification and the delete database 6.Authority setting module 11 is used for user right is set, and specifically comprises: the setting of the groups of users of group's setting of system user setting, system user correspondence, the user of designated user group correspondence, designated user correspondence, the setting of System menu and System menu and group's relation.Data setting module 12 is used for the data of initialization system, specifically comprises: the setting of the material standard Days In Inventory of the setting of Classification of materials, each Classification of materials and the setting of storage code.Analyzing operation module 13 is used for gathering each stock strong point material data by strong point computing machine 3 from strong point database 7, integrate the material data at each stock strong point, carry out the upward price trend analysis, the management dynamic stock, carry out storehouse age and inventory turnover analysis, show in the mode of data, and Days In Inventory trend is analyzed, provide early warning abnormal conditions in conjunction with chart.This module includes strong point holdings inquiry submodule 130, a price trend analysis submodule 131, a dynamic inventory management submodule 132, a storehouse is analyzed submodule 133, an inventory turnover calculating sub module 134, stock's early warning submodule 135, a Days In Inventory trend analysis submodule 136, one information integrated submodule 137 and a file and generate submodule 138 age.Wherein strong point holdings inquiries submodule 130 is used for the user and selects strong point, item number, client and common carrier etc. one, a plurality of or all as querying condition, from strong point database 7, obtain to meet the holdings of querying condition, as stock strong point title, item number, name of an article description, quantity, net weight, gross weight, unit price and total charge etc.Can select a strong point as the user, inquire about the inventories of this current each material in stock strong point, or select a kind of material to inquire about the inventories of this material at each strong point, the whole world.Upward price trend is analyzed submodule 131 and is used for carrying out price movement trend analysis in a time period by strong point, Classification of materials, supplier and item number, and shows in the mode of data variation in conjunction with graphic change.Dynamic inventory management submodule 132 is used to add up stockpile number and the amount of money of each material at each strong point, and is presented at the stockpile number of a period of time and the changing trend diagram of the amount of money by material.The storehouse is analyzed submodule 133 age and is used for by material at the stockpile number and the amount of money at different each strong points of interval statistics in age, storehouse and gather all stockpile numbers and stock's amount of money.Being calculated as of storehouse age wherein when material during still in the warehouse, storehouse age is the present time to cut entry time, when material during not in the warehouse, the storehouse cuts entry time for the outbound time age.Inventory turnover calculating sub module 134 is used for adding up by material the stock's turnover time of circulating funds and the inventory turnover at each strong point.Stock's early warning submodule 135 is used for the Days In Inventory of each material standard and actual Days In Inventory are compared, if the Days In Inventory of actual Days In Inventory overgauge just shows the caution message.Days In Inventory trend analysis submodule 136 is used to calculate and shows the Days In Inventory of each material in each of correspondence every day in month.Data conformity submodule 137 is used for the material data at each strong point of integrated global.Report output module 14 is used for analyzing according to user's request output operation module strong point stock's more than 13 couples analysis result.
As shown in Figure 3, be strong point inventory analysis page synoptic diagram more than the inventory analysis system of many strong points of the present invention.This page shows a global map, utilizes strong point sign 30A, 30B, 30C and 30D etc. to indicate the geographic position (only marking four among the figure) at a plurality of stocks strong point of enterprise in detail on this map.When the user clicks any strong point sign 30A, 30B, 30C and 30D, obtain the tank farm stock of this each material of stock strong point.
As shown in Figure 4, be the operation process chart of many strong points of the present invention inventory analysis method.At first strong point holdings inquiries submodule 130 is selected in strong point, item number, client and the common carrier etc. one, a plurality of or all as querying condition according to the user, from database 6 and strong point database 7, obtain to meet the holdings (step S401) of querying condition, analyze operation module 13 and carry out inventory analysis operation (step S402).Upward price trend is analyzed submodule 131 and is analyzed the price movement trend of material in a time period by strong point, Classification of materials, supplier and item number, and shows (step S403a) with data variation in conjunction with the mode of graphic change.Dynamic inventory management submodule 132 is added up stockpile number and the amount of money of each material at each strong point, and shows that each material is at the stockpile number of a period of time and the changing trend diagram of the amount of money (step S403b).Age is analyzed stockpile number and the amount of money of the different storehouse interval every kind of material in age of submodule 133 statistics at each strong point in the storehouse, and the stockpile number and the stock's amount of money (step S403c) that gather all storehouse fates in age.The stock's turnover time of circulating funds and the inventory turnover (step S403d) at inventory turnover calculating sub module 134 each material of statistics each strong point between each month.Stock's early warning submodule 135 compares the Days In Inventory of each material standard and actual Days In Inventory, if the Days In Inventory of actual Days In Inventory overgauge just shows the caution message, Days In Inventory trend analysis submodule 136 is by calculating and show the Days In Inventory (step S403e) of each material in the correspondence every day in certain month.
As shown in Figure 5, be the upward price trend analytical approach schematic flow sheet of many strong points of the present invention inventory analysis method.After the user imports strong point, material category, supplier's code name, material code name and date range (step S501), whether effectively upward price trend analyzes submodule 131 check data scope (step S502), if date range is invalid, then returns step S501 and re-enter; If date range is effective, then show item number at the unit price of same date correspondence (step S503) not according to initial conditions, and with the variation tendency (step S504) of graphic presentation price.
As shown in Figure 6, be the time upward price trend figure of many strong points of the present invention inventory analysis system.Among present embodiment, material XX with supplier A supply is an example, suppose that the time interval of selecting is on September 1,1 day to 2002 August in 2002, time shaft (transverse axis) is that unit is cut apart with the day according to the times selected interval, and price axle (longitudinal axis) is then cut apart according to ceiling price and lowest price that the material price information that is captured is comprised.In this embodiment, suppose that the XX material in the day price on September 1, in 2002 2002 on August 1, to 2002 is: 203,199,199 ..., 188.Therefore, upward price trend analysis submodule 111 is cut apart the price axle according to lowest price (185) and ceiling price (205) interval.In the coordinate of having set up the transverse axis and the longitudinal axis, analyze submodule 131 by upward price trend the price information of material is shown in the scope that this coordinate defines according to the corresponding relation of time and price is corresponding one by one.Mode with broken line has shown at this time interval, the day upward price trend on September 1st, 1 day 1 August in 2002 of the XX material of supplier A supply.
As shown in Figure 7, be the dynamic inventory management method flow synoptic diagram of many strong points of the present invention inventory analysis method.Behind the stockpile number and the amount of money (step S701) of each material at holdings inquiry submodule 130 each strong point of acquisition, strong point, the stock material quantity and the amount of money (step S702) at information integrated submodule 137 each strong point of integrated global, dynamic inventory management submodule 132 is presented at the variation tendency (step S703) of the stockpile number and the amount of money in one period by material.
As shown in Figure 8, be the time tank farm stock trend map of many strong points of the present invention inventory analysis system.Among present embodiment, be changed to example explanation at tank farm stock in 2002 with the XX material of supplier A supply.Month-the tank farm stock coordinate in, this time shaft (transverse axis) is that unit is partitioned into ten bisections with the moon, tank farm stock axle (longitudinal axis) is then comprised according to the material inventory data that is captured the moon maximum quantity of stores and a month minimum quantity of stores cut apart.In this embodiment, suppose that the XX material at 2002 every month tank farm stock is: 215,210,205 ..., 180.Therefore, dynamic inventory management submodule 132 is cut apart the tank farm stock axle according to a moon minimum quantity of stores (180) and month maximum quantity of stores (a 215) interval.For the purpose of clear, in this embodiment, the represented ordinate of minimum quantity of stores is not in true origin, but being higher than the suitable position of initial point one, in order to avoid the represented curve of minimum quantity of stores overlaps with transverse axis.In the coordinate of having set up the transverse axis and the longitudinal axis, the tank farm stock data of material is shown in the scope that this coordinate defines according to the corresponding relation of time and tank farm stock is corresponding one by one by dynamic inventory management submodule 132.Mode with broken line has shown at this time interval, the moon tank farm stock tendency of the XX material of supplier A supply.
As shown in Figure 9, be storehouse analytical approach in the age schematic flow sheet of many strong points of the present invention inventory analysis method.After strong point holdings inquiry submodule 130 obtains the stockpile number and the amount of money (step S901) of each material at each strong point, the storehouse analyze age submodule 133 by Classification of materials at the stockpile number and the amount of money at different each strong points of interval statistics in age, storehouse and stockpile number and the stock's amount of money that gathers all storehouse fates in age.Being calculated as of storehouse age wherein when material during still at inventory status, storehouse age is the present time to cut entry time, when material during not at inventory status, the storehouse cuts entry time (step S902) for the outbound time age.Calculate certain Classification of materials at different storehouse the age interval corresponding stockpile number and the amount of money (step S903), and show the above-mentioned stockpile number and the amount of money (step S904).
As shown in figure 10, be stock's turnover analytical approach schematic flow sheet of many strong points of the present invention inventory analysis method.Behind the stockpile number and the amount of money (step S1001) of each material at holdings inquiry submodule 130 each strong point of acquisition, strong point, the user imports data (step S1002) such as material, time and month, inventory turnover calculating sub module 134 is calculated certain Classification of materials in different year and corresponding stock's turnover time of circulating funds and inventory turnover (step S1003) between month, and calculate actual Days In Inventory (step S1004), judge the whether Days In Inventory (step S1005) of overgauge of actual store fate.If actual store fate overgauge Days In Inventory, then stock's early warning submodule 135 produces caution message (step S1006); If the actual store fate is less than the standard Days In Inventory, then analyze its variation tendency (step S1007) by the actual store fate of same date not.
Claims (9)
1. the system of strong point inventory analysis more than a kind comprises an application server, a plurality of client computer, a plurality of strong points computing machine, a database and a plurality of strong points database, it is characterized in that wherein application server includes:
One analyzes the operation module, and it includes:
One price trend analysis submodule is used to realize by the price movement trend analysis in a time period of strong point, material, supplier and item number, and shows in the mode of data variation in conjunction with graphic change;
One dynamic inventory management submodule is used to add up stockpile number and the amount of money of each material at each strong point, and shows that each material is at the stockpile number of a period of time and the changing trend diagram of the amount of money;
One storehouse is analyzed submodule age and is used to add up at stockpile number and the amount of money of different storehouse interval every kind of materials in age at each strong point, and the stockpile number and the stock's amount of money that gather all storehouse fates in age;
One inventory turnover calculating sub module is by the stock's turnover time of circulating funds and the inventory turnover at each material each strong point of statistics between different months;
One stock's early warning submodule compares the Days In Inventory of each material standard and actual Days In Inventory, if the Days In Inventory of actual Days In Inventory overgauge just shows the caution message;
The calculating of one Days In Inventory trend analysis submodule also shows the Days In Inventory of each material in the correspondence every day in certain month; And
One basic data maintenance module is used for the related data by the client computer maintenance data base, can increase newly, the holdings in modification and the delete database.
2. many strong points as claimed in claim 1 inventory analysis system is characterized in that wherein said application server also comprises a report output module, is used for according to the analysis result of user's request output to many strong points stock.
3. many strong points as claimed in claim 1 inventory analysis system, it is characterized in that, wherein said analysis operation module comprises that strong point holdings inquiry submodule is used for the user and selects strong point, item number and client one, a plurality of or all as querying condition, obtains to meet the inventory information of querying condition from database.
4. many strong points as claimed in claim 1 inventory analysis system is characterized in that wherein said analysis operation module comprises that an information integrated submodule is used for the material data at each strong point of integrated global.
5. the method for strong point inventory analysis more than a kind is characterized in that, comprising:
Obtain each strong point material data;
Analyze the price movement trend of material in a time period by strong point, Classification of materials, supplier and item number, and show in the mode of data variation in conjunction with graphic change;
Add up stockpile number and the amount of money of each material, and show that each material is at the stockpile number of a period of time and the changing trend diagram of the amount of money at each strong point;
Add up stockpile number and the amount of money of different storehouses interval every kind of material in age at each strong point, and the stockpile number and the stock's amount of money that gather all storehouse fates in age;
Add up the stock's turnover time of circulating funds and the inventory turnover at each material each strong point between each month;
Calculating also shows the Days In Inventory of each material in the correspondence every day in certain month.
6. inventory analysis method in many strong points as claimed in claim 5 is characterized in that wherein the upward price trend analytical procedure comprises:
The user imports the step of strong point, material category, supplier's code name, material code name and date range;
Whether upward price trend is analyzed submodule check data scope effective, if date range is invalid, and the step of then re-entering;
If date range is effective, then show item number at the unit price of same date correspondence not according to initial conditions, and with the step of the variation tendency of graphic presentation price.
7. inventory analysis method in many strong points as claimed in claim 5 is characterized in that wherein the dynamic inventory management step comprises:
Obtain the stockpile number and the amount of money of the material at each strong point;
The stock material quantity and the amount of money at each strong point of integrated global; And
Be presented at the variation tendency of the stockpile number and the amount of money in one period by material.
8. inventory analysis method in many strong points as claimed in claim 5 is characterized in that, wherein storehouse analytical procedure in age comprises:
Obtain the stockpile number and the amount of money of the material at each strong point;
By each material at the stockpile number and the amount of money at different each strong points of interval statistics in age, storehouse and stockpile number and the stock's amount of money that gathers all storehouse fates in age; And
Calculating also shows that material is at different storehouse the age interval corresponding stockpile number and the amount of money.
9. inventory analysis method in many strong points as claimed in claim 5 is characterized in that, wherein stock's turnover analytical procedure comprises:
Obtain the stockpile number and the amount of money of the material at each strong point;
Data such as input material, time and month;
Calculate certain material in different year and corresponding stock's turnover time of circulating funds and inventory turnover between month;
Calculate actual Days In Inventory;
Judge the whether Days In Inventory of overgauge of actual store fate;
If actual store fate overgauge Days In Inventory then generates the caution message; And
If the actual store fate is less than the standard Days In Inventory, then analyze its variation tendency by the actual store fate of same date not.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102799760A (en) * | 2012-06-18 | 2012-11-28 | 青岛禧泰房产数据技术有限公司 | Room rate time-space domain display system and display method |
| CN105023133A (en) * | 2015-08-13 | 2015-11-04 | 四川长虹电器股份有限公司 | Inventory age analysis method based on data warehouse |
| CN105704184A (en) * | 2014-11-28 | 2016-06-22 | 国网河南省电力公司南阳供电公司 | Power grid organization analysis system based on level framework and analysis method |
| CN108280535A (en) * | 2017-12-26 | 2018-07-13 | 江苏仲博敬陈信息科技有限公司 | A kind of inventory forecast system based on machine learning |
| CN112581048A (en) * | 2019-09-30 | 2021-03-30 | 北京国双科技有限公司 | Method, device, equipment and storage medium for reducing inventory cost |
-
2004
- 2004-01-16 CN CN 200410015266 patent/CN1641665A/en active Pending
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102799760A (en) * | 2012-06-18 | 2012-11-28 | 青岛禧泰房产数据技术有限公司 | Room rate time-space domain display system and display method |
| CN105704184A (en) * | 2014-11-28 | 2016-06-22 | 国网河南省电力公司南阳供电公司 | Power grid organization analysis system based on level framework and analysis method |
| CN105023133A (en) * | 2015-08-13 | 2015-11-04 | 四川长虹电器股份有限公司 | Inventory age analysis method based on data warehouse |
| CN108280535A (en) * | 2017-12-26 | 2018-07-13 | 江苏仲博敬陈信息科技有限公司 | A kind of inventory forecast system based on machine learning |
| CN112581048A (en) * | 2019-09-30 | 2021-03-30 | 北京国双科技有限公司 | Method, device, equipment and storage medium for reducing inventory cost |
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