CN111242557A - SAP platform based material inventory analysis system and method - Google Patents
SAP platform based material inventory analysis system and method Download PDFInfo
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Abstract
The invention relates to a material inventory analysis system and a method based on an SAP platform, wherein the system specifically comprises an SAP ERP system, a step unit price calculation module, an EOL risk analysis prompt module, a purchase quantity recommendation module, a purchase cost analysis improvement module and an EOL control module, wherein the step unit price calculation module, the EOL risk analysis prompt module, the purchase quantity recommendation module, the purchase cost analysis improvement module and the EOL control module are connected with the SAP ERP system; the invention provides a material inventory analysis system and a method based on an SAP platform, which realize the automatic calculation of the unit price of steps, the intelligent recommendation of the purchase quantity, the calculation of EOL analysis and early warning, achieve the optimization of purchase frequency, the reduction of purchase cost, the reduction of purchase EOL risk, the reduction of inventory and the improvement of inventory turnover rate by adding a step unit price automatic calculation module, an intelligent recommendation of purchase quantity module, an EOL risk analysis and prompt module, a purchase cost analysis and improvement module, a material management trend chart and an EOL control module on the basis of the original SAP ERP system.
Description
Technical Field
The invention relates to the technical field of inventory management, in particular to a material inventory analysis system and method based on an SAP platform.
Background
With the wide application of SAP ERP technology and intelligent stereoscopic warehouse, more and more purchasing order management is completed through an information system. On one hand, the buyer needs to select a proper material price to save cost for the enterprise, on the other hand, the buyer needs to purchase a sufficient amount of material to ensure the normal production of the enterprise, the unit price cost required by different amounts of material is different, and the buyer needs to consider the existing stock to decide the order. Therefore, the fund circulation of enterprises can be ensured, and the fund turnover is promoted.
Under the condition that a company has a plurality of factories, warehouse-out information is difficult to obtain in different materials, different factories and different stocks, and integration analysis of all material information is difficult, moreover, the data volume of material order information is very large due to the fact that ERP systems have more materials, more factories and more warehouse-out information, managers need to repeatedly screen unit price data of the materials, so that the efficiency of data analysis in the order making process is very low, the whole material order information cannot be integrally tracked, meanwhile, various material purchasing orders can generate certain purchasing risks, the managers are difficult to obtain accurate information, and purchasing risks in the whole production period are avoided; meanwhile, a large number of items need long-time order tracking and cannot be intuitively reflected to managers.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a material inventory analysis system and method based on an SAP platform.
In order to achieve the above object, a first aspect of the present invention relates to a material inventory analysis system based on an SAP platform.
The system comprises an SAP ERP system, and is characterized in that the system also comprises a data processing system connected with the SAP ERP system, wherein the data processing system comprises: the system comprises a step unit price calculation module, an EOL risk analysis prompt module, a purchase quantity recommendation module, a purchase cost analysis improvement module and an EOL control module connected with the modules; the step unit price calculating module is connected with the purchasing quantity recommending module and used for capturing step unit prices recorded by purchasing information and acquiring optimal purchasing unit prices; the EOL risk analysis prompting module is used for acquiring a material demand plan and setting an EOL risk level by combining with a step unit price; the intelligent procurement quantity recommending module is connected with the EOL risk analysis prompting module and is used for recommending the optimal procurement quantity according to the optimal procurement unit price, the EOL risk level and the actual procurement quantity, and the procurement cost analysis improving module is respectively connected with the step unit price automatic calculating module, the intelligent procurement quantity recommending module and the EOL risk analysis module and is used for calculating the optimal procurement cost and the actual procurement cost according to the optimal procurement quantity, the actual procurement quantity and the step price and providing an improving scheme; and the EOL control module is used for controlling the purchasing quantity and cost in the whole purchasing process.
Further, the step unit price calculating module comprises a step unit price information acquiring module, which is used for acquiring purchase order information from the SAP ERP system, wherein the purchase order information comprises factories, purchase organizations, materials and suppliers; and the step unit price information screening module is used for screening purchase order information to form a step unit price table and extracting the optimal purchase unit price.
Further, the stepped unit price table includes: material, basic unit of material, factory, supplier, grade number, unit price, and planned delivery time information
Further, the EOL risk analysis prompting module comprises a material demand information acquisition module, and the material demand information acquisition module is used for acquiring material demand information comprising material types, planning dates, demand quantities and inventory quantities from an SAP ERP system; the overflow price accounting module is used for respectively calculating the total quantity of the classified aggregates in a plurality of time periods according to the planning date, the required quantity and the inventory quantity, and calculating the overflow price by combining a step unit price table after the total quantity of the classified aggregates is weighted and averaged; and the risk level presetting module is used for dividing preset risk levels according to the overflow price list.
Furthermore, the purchase quantity recommendation module calculates the predicted dead stock number according to purchase application information in the SAP ERP system and the step quantity in the step unit price table, calculates the predicted EOL risk level of the material according to the predicted dead stock number and the preset risk level, and intelligently calculates the optimal purchase quantity by combining the lowest unit price in the step unit price table and the predicted EOL risk level.
Further, the purchasing cost analyzing and improving module comprises a cost calculating module and an improving scheme planning module, wherein the cost calculating module is used for calculating the optimal purchasing cost and the actual purchasing cost and calculating the difference between the optimal purchasing cost and the actual purchasing cost, and the improving scheme planning module is used for displaying the result calculated by the cost calculating module and providing the cost improving scheme.
Further, the EOL control module comprises an inventory information analysis module used for analyzing inventory information in an SAP ERP system, analyzing inventory coverage days of material inventory and predicting an inventory EOL risk level by combining EOL risk levels.
Further, the system also comprises a material management trend interactive interface, wherein the material management trend interactive interface is used for acquiring the inventory information and the material demand information from the SAPERP system, combining the expected EOL risk level information and presenting the information in a linear graph form at a mobile terminal.
In another aspect, the present invention relates to a material inventory analysis method based on SAP platform, which comprises the following steps:
s1, acquiring material demand information, purchase application information, purchase order information and inventory information from the SAP ERP system;
s2, according to the purchase order information, making a step unit price table of each material, and obtaining the optimal purchase unit price of each material;
s3, setting EOL risk level of the material according to the material demand information and the material step unit price table;
s4, calculating the expected EOL risk level of the material by combining the EOL risk level of the material according to the purchase application information and the stepped unit price table of the material, and intelligently calculating the optimal purchase quantity of the material according to the expected EOL risk level, the optimal purchase unit price and the material purchase quantity in the purchase application information;
s5, calculating the optimal purchasing cost and the actual purchasing cost according to the optimal purchasing unit price, the EOL risk level and the material purchasing quantity of the material and providing an improvement scheme;
and S6, analyzing the inventory coverage days and the inventory EOL risk level of the material inventory according to the material inventory information and the set material EOL risk level.
Further, the method also comprises the following steps:
and S7, acquiring the inventory information and the material demand information, and presenting the inventory information and the material demand information in the form of an image in combination with the predicted EOL risk level information.
The invention has the advantages of
The material inventory analysis system and method based on the SAP platform have the advantages that: a step unit price calculating module, an EOL risk analysis prompting module, a purchasing quantity recommending module, a purchasing cost analysis improving module and an EOL control module are added on the basis of an original SAPERP system, automatic calculation of step unit prices is achieved, purchasing quantities are intelligently recommended, EOL analysis is calculated, early warning is achieved, the purchasing frequency is optimized, the purchasing cost is reduced, the purchasing EOL risk is reduced, inventory is reduced, and the inventory turnover rate is improved. The system of the invention integrates the processing by solving the problem that the original data is dispersed in each different system to be processed respectively.
Drawings
FIG. 1 illustrates a system architecture diagram of the present invention;
FIG. 2 is a schematic diagram illustrating the structure of the staircase unit price calculation module of the present invention;
FIG. 3 illustrates a risk hierarchy diagram of EOL risk analysis hint module partitioning of the present invention;
FIG. 4 illustrates a block diagram of the purchase quantity recommendation module of the present invention;
FIG. 5 illustrates a materials management trends interaction interface diagram of the present invention;
fig. 6 schematically shows the steps of the method of the invention.
Detailed Description
The technical solution adopted by the present invention is further explained with reference to the accompanying drawings and the specific embodiments. First, as shown in fig. 1, a specific embodiment of a material inventory analysis system based on an SAP platform according to the present invention is shown, in this embodiment, the system includes an ERP system of the SAP platform, and material demand information, purchase application information, purchase order information, and inventory information are called from the ERP system as reference bases for order formulation. The system in the embodiment further comprises a step unit price calculation module, an EOL risk analysis prompt module, a purchase quantity recommendation module, a purchase cost analysis improvement module and an EOL control module, wherein the step unit price calculation module, the EOL risk analysis prompt module, the purchase quantity recommendation module, the purchase cost analysis improvement module and the EOL control module are connected with the ERP system;
in the process of making an order, firstly, the step unit price calculation module is connected with the purchase quantity recommendation module, the step unit price recorded by purchase information is captured from the ERP system, the optimal purchase unit price is obtained, and the optimal purchase unit price of each material is obtained from all orders; acquiring a material demand plan through the EOL risk analysis prompt module and setting an EOL risk level by combining with a step unit price; the intelligent purchase quantity recommending module is connected with the EOL risk analysis prompting module, recommends the optimal purchase quantity to managers according to the optimal purchase unit price, the EOL risk level and the actual purchase quantity, the purchase cost analysis improving module is respectively connected with the step unit price automatic calculating module, the intelligent purchase quantity recommending module and the EOL risk analysis module, and calculates the optimal purchase cost and the actual purchase cost and provides an improving scheme for the managers to refer to according to the optimal purchase quantity, the actual purchase quantity and the step price; and the EOL control module is used for controlling the modules and controlling the purchasing quantity and cost in the whole purchasing process.
In order to better understand the system, as shown in fig. 2, the step unit price calculation module is a schematic structural diagram of the step unit price calculation module according to the embodiment of the present invention, and the step unit price calculation module includes a step unit price information acquisition module for acquiring purchase order information from an SAP ERP system, where the purchase order information includes a factory, a purchase organization, a material and a supplier, and a step unit price information screening module for screening the purchase order information to form a step unit price table, extracting an optimal purchase unit price, and prompting a manager in the ERP system when a purchase demand is converted into a purchase order, so that a user selects the optimal purchase unit price and purchasing cost is reduced.
In order to better understand the system, as shown in fig. 3, the system is a schematic diagram of risk levels divided by an EOL risk analysis prompting module according to an embodiment of the present invention, taking a risk level in the diagram as an example, the EOL risk analysis prompting module includes a material demand information obtaining module, an overflow price accounting module, and a risk level presetting module, where the material demand information obtaining module is configured to obtain material demand information including a material type, a planning date, a demand quantity, and an inventory quantity from a saperrp system; the overflow price accounting module deducts available inventory from the demand quantity, classifies and summarizes 7 stages including Weekly, Month1, Month2, Month3, Month4, Month5 and Month6, calculates the overflow price by combining a step unit price table after weighted average of the classified sum quantity; the risk level presetting module is used for dividing preset risk levels according to the overflow price table, in the embodiment, sections of 0-7 days, 8-31 days, 32-90 days and more than 90 days are compared with corresponding overflow prices in the custom table according to the days of the purchase lead period, taking 1 week in the figure as an example: if the total amount of the week is less than or equal to 0, the risk level is L1, and if the total amount of the week is between 0 and 5000, the risk level is L2; l3, L4, L5 and so on; if the weekly total is greater than 4000, the risk level is L6.
With reference to fig. 4 and fig. 4, which are schematic structural diagrams of a purchase quantity recommendation module according to an embodiment of the present invention, a predicted inactive inventory number is calculated according to factory and material information in purchase application information in an SAP ERP system and according to a step number in a step unit price table, a predicted EOL risk level of a material is calculated according to the predicted inactive inventory number and a corresponding material quantity in a preset risk level, and an optimal purchase quantity is obtained according to a stage with a lowest unit price in the step unit price table to select a lowest risk, so as to optimize a purchase frequency, reduce an inventory, and improve an inventory turnover rate.
In the cost analysis improvement module, the method for calculating the optimal cost and the actual cost is as follows:
a) optimal procurement cost = optimal procurement quantity stepped price
b) Actual purchase cost = actual purchase quantity stepped price
c) The difference of purchasing cost = actual purchasing cost-optimal purchasing cost
When the purchasing cost difference is too large, an improvement scheme planning module in the cost analysis improvement module prompts a manager to propose an improvement scheme, and the improvement scheme is stored in the system for the manager to refer to when the manager encounters a similar problem next time.
As shown in fig. 5, which is a schematic view of a material management trend interaction interface according to an embodiment of the present invention, it can be found in the schematic view that a manager can clearly find consumption conditions, inventory conditions, order reservation conditions, safety inventory conditions, material demand conditions and order conditions in an SAP ERP system, and the like of various materials from a line diagram, so that the manager can intuitively know specific storage conditions of a certain material and whether the certain material is in a risk, and the manager can take corresponding measures for the conditions to avoid a problem in fund flow.
The invention also relates to a material inventory analysis method based on the SAP platform, an embodiment of which is shown in FIG. 6, and the method comprises the following steps:
s1, acquiring material demand information, purchase application information, purchase order information and inventory information from the SAP ERP system;
s2, according to the purchase order information, making a step unit price table of each material, and obtaining the optimal purchase unit price of each material;
s3, setting EOL risk level of the material according to the material demand information and the material step unit price table;
s4, calculating the expected EOL risk level of the material by combining the EOL risk level of the material according to the purchase application information and the stepped unit price table of the material, and intelligently calculating the optimal purchase quantity of the material according to the expected EOL risk level, the optimal purchase unit price and the material purchase quantity in the purchase application information;
s5, calculating the optimal purchasing cost and the actual purchasing cost according to the optimal purchasing unit price, the EOL risk level and the material purchasing quantity of the material and providing an improvement scheme;
and S6, analyzing the inventory coverage days and the inventory EOL risk level of the material inventory according to the material inventory information and the set material EOL risk level.
And S7, acquiring the inventory information and the material demand information, and presenting the inventory information and the material demand information in the form of an image in combination with the predicted EOL risk level information.
The invention has the advantages that the establishment of an intelligent optimal purchasing scheme, EOL risk control, inventory management and trend analysis are realized on the basis of the original SAP platform of a company, so that the company is more convenient to manage material inventory.
While the invention has been described in detail with reference to specific preferred embodiments thereof, it will be understood by those skilled in the art that various changes, substitutions and alterations can be made herein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. A material inventory analysis system based on SAP platform comprises an SAP ERP system, and is characterized in that the system also comprises a data processing system connected with the SAP ERP system, wherein the data processing system comprises: the system comprises a step unit price calculation module, an EOL risk analysis prompt module, a purchase quantity recommendation module, a purchase cost analysis improvement module and an EOL control module connected with the modules; the step unit price calculating module is connected with the purchasing quantity recommending module and used for capturing step unit prices recorded by purchasing information and acquiring optimal purchasing unit prices; the EOL risk analysis prompting module is used for acquiring a material demand plan and setting an EOL risk level by combining with a step unit price; the intelligent procurement quantity recommending module is connected with the EOL risk analysis prompting module and is used for recommending the optimal procurement quantity according to the optimal procurement unit price, the EOL risk level and the actual procurement quantity, and the procurement cost analysis improving module is respectively connected with the step unit price automatic calculating module, the intelligent procurement quantity recommending module and the EOL risk analysis module and is used for calculating the optimal procurement cost and the actual procurement cost according to the optimal procurement quantity, the actual procurement quantity and the step price and providing an improving scheme; and the EOL control module is used for controlling the purchasing quantity and cost in the whole purchasing process.
2. The analysis system of claim 1, wherein the stepped unit price calculation module comprises a stepped unit price information acquisition module for acquiring purchase order information from an SAP ERP system, the purchase order information including a factory, a purchase organization, a material, and a supplier; and the step unit price information screening module is used for screening purchase order information to form a step unit price table and extracting the optimal purchase unit price.
3. The analytical system of claim 2, wherein the stepped unit price table comprises: materials, basic units of materials, factories, suppliers, grade numbers, unit prices, and scheduled delivery time information.
4. The analysis system according to claim 1, wherein the EOL risk analysis prompting module comprises a material demand information obtaining module for obtaining material demand information including material type, planning date, demand quantity and inventory quantity from an SAP ERP system; the overflow price accounting module is used for respectively calculating the total quantity of the classified aggregates in a plurality of time periods according to the planning date, the required quantity and the inventory quantity, and calculating the overflow price by combining a step unit price table after the total quantity of the classified aggregates is weighted and averaged; and the risk level presetting module is used for dividing preset risk levels according to the overflow price list.
5. The analysis system of claim 1, wherein the purchase quantity recommendation module calculates an estimated stagnant inventory quantity according to purchase application information in the SAP ERP system and the step quantity in the step unit price table, calculates an estimated EOL risk level of the material according to the estimated stagnant inventory quantity and a preset risk level, and intelligently calculates the optimal purchase quantity by combining the lowest unit price in the step unit price table and the estimated EOL risk level.
6. The analysis system of claim 1, wherein the procurement cost analysis and improvement module comprises a cost calculation module for calculating an optimal procurement cost and an actual procurement cost and calculating a difference therebetween, and an improvement plan module for displaying the result calculated by the cost calculation module and providing a cost improvement plan.
7. The analysis system of claim 1, wherein the EOL control module comprises an inventory information analysis module to analyze inventory information in an SAP ERP system, to analyze inventory coverage days of material inventory and to predict an inventory EOL risk level in conjunction with an EOL risk level.
8. The analysis system of claim 7, further comprising a material management trend interactive interface, wherein the material management trend interactive interface is used for acquiring the inventory information and the material demand information from the SAP ERP system and presenting the information in a linear graph form at the mobile terminal in combination with the predicted EOL risk level information.
9. A material inventory analysis method based on an SAP platform is characterized by comprising the following steps:
s1, acquiring material demand information, purchase application information, purchase order information and inventory information from the SAP ERP system;
s2, according to the purchase order information, making a step unit price table of each material, and obtaining the optimal purchase unit price of each material;
s3, setting EOL risk level of the material according to the material demand information and the material step unit price table;
s4, calculating the expected EOL risk level of the material by combining the EOL risk level of the material according to the purchase application information and the stepped unit price table of the material, and intelligently calculating the optimal purchase quantity of the material according to the expected EOL risk level, the optimal purchase unit price and the material purchase quantity in the purchase application information;
s5, calculating the optimal purchasing cost and the actual purchasing cost according to the optimal purchasing unit price, the EOL risk level and the material purchasing quantity of the material and providing an improvement scheme;
and S6, analyzing the inventory coverage days and the inventory EOL risk level of the material inventory according to the material inventory information and the set material EOL risk level.
10. A SAP platform based material inventory analysis method as claimed in claim 9, further comprising the steps of:
and S7, acquiring the inventory information and the material demand information, and presenting the inventory information and the material demand information in the form of an image in combination with the predicted EOL risk level information.
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Citations (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
GB9304721D0 (en) * | 1992-03-09 | 1993-04-28 | Hitachi Ltd | Inventory management apparatus and method for combination goods |
JP2002366782A (en) * | 2001-06-12 | 2002-12-20 | Nec Soft Ltd | System and method for reserving production resource |
CN1403974A (en) * | 2001-08-28 | 2003-03-19 | 英业达股份有限公司 | Production accuracy method |
US20040068454A1 (en) * | 2002-10-03 | 2004-04-08 | Jacobus Greg C. | Managing procurement risk |
US20040098321A1 (en) * | 2002-11-15 | 2004-05-20 | Liu Zhexiong | Integrated inventory management system and method |
CN1501304A (en) * | 2002-11-18 | 2004-06-02 | 鸿富锦精密工业(深圳)有限公司 | Management system and method for integrating inventory |
CN1737833A (en) * | 2004-08-20 | 2006-02-22 | 鸿富锦精密工业(深圳)有限公司 | Procurement price managing and control system and method |
US20060095362A1 (en) * | 2004-11-01 | 2006-05-04 | Jerry Hwang | Managing and evaluating procurement risk |
JP2006277683A (en) * | 2005-03-30 | 2006-10-12 | Fujitsu Ltd | Inventory control program and system |
CN104182835A (en) * | 2014-08-22 | 2014-12-03 | 国家电网公司 | Three-dimensional material goods classification model based on entire life-cycle management and type determination method |
US20170185933A1 (en) * | 2015-06-14 | 2017-06-29 | Jda Software Group, Inc. | Distribution-Independent Inventory Approach under Multiple Service Level Targets |
CN108681828A (en) * | 2018-06-12 | 2018-10-19 | 清华大学 | A kind of inventory risk optimization method based on stochastic demand and random outcome |
CN108846608A (en) * | 2018-06-15 | 2018-11-20 | 上海探能实业有限公司 | A kind of large-scale wind electricity unit standby redundancy inventory management and Optimization Scheduling |
CN109559145A (en) * | 2018-09-20 | 2019-04-02 | 中建科技有限公司深圳分公司 | The cost method for early warning and device of assembled architecture |
CN109754200A (en) * | 2017-11-07 | 2019-05-14 | 深圳前海硬之城信息技术有限公司 | Bill of material management method, apparatus and computer readable storage medium |
-
2020
- 2020-03-09 CN CN202010158207.7A patent/CN111242557B/en active Active
Patent Citations (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
GB9304721D0 (en) * | 1992-03-09 | 1993-04-28 | Hitachi Ltd | Inventory management apparatus and method for combination goods |
JP2002366782A (en) * | 2001-06-12 | 2002-12-20 | Nec Soft Ltd | System and method for reserving production resource |
CN1403974A (en) * | 2001-08-28 | 2003-03-19 | 英业达股份有限公司 | Production accuracy method |
US20040068454A1 (en) * | 2002-10-03 | 2004-04-08 | Jacobus Greg C. | Managing procurement risk |
US20040098321A1 (en) * | 2002-11-15 | 2004-05-20 | Liu Zhexiong | Integrated inventory management system and method |
CN1501304A (en) * | 2002-11-18 | 2004-06-02 | 鸿富锦精密工业(深圳)有限公司 | Management system and method for integrating inventory |
CN1737833A (en) * | 2004-08-20 | 2006-02-22 | 鸿富锦精密工业(深圳)有限公司 | Procurement price managing and control system and method |
US20060095362A1 (en) * | 2004-11-01 | 2006-05-04 | Jerry Hwang | Managing and evaluating procurement risk |
JP2006277683A (en) * | 2005-03-30 | 2006-10-12 | Fujitsu Ltd | Inventory control program and system |
CN104182835A (en) * | 2014-08-22 | 2014-12-03 | 国家电网公司 | Three-dimensional material goods classification model based on entire life-cycle management and type determination method |
US20170185933A1 (en) * | 2015-06-14 | 2017-06-29 | Jda Software Group, Inc. | Distribution-Independent Inventory Approach under Multiple Service Level Targets |
CN109754200A (en) * | 2017-11-07 | 2019-05-14 | 深圳前海硬之城信息技术有限公司 | Bill of material management method, apparatus and computer readable storage medium |
CN108681828A (en) * | 2018-06-12 | 2018-10-19 | 清华大学 | A kind of inventory risk optimization method based on stochastic demand and random outcome |
CN108846608A (en) * | 2018-06-15 | 2018-11-20 | 上海探能实业有限公司 | A kind of large-scale wind electricity unit standby redundancy inventory management and Optimization Scheduling |
CN109559145A (en) * | 2018-09-20 | 2019-04-02 | 中建科技有限公司深圳分公司 | The cost method for early warning and device of assembled architecture |
Non-Patent Citations (3)
Title |
---|
刘素艳: "J公司的采购成本控制研究", 《中国优秀硕士论文电子期刊网》, vol. 1, no. 1, 15 December 2018 (2018-12-15) * |
徐佳;刘晓冰;王继岩;李修飞;: "钢铁集团原料协同库存控制模型研究与应用", 计算机集成制造***, no. 02, 15 February 2009 (2009-02-15) * |
曾思鸿;: "备件采购及库存管理优化的措施", 柳钢科技, no. 03, 15 June 2012 (2012-06-15) * |
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CN112668961A (en) * | 2020-12-18 | 2021-04-16 | 苏州浪潮智能科技有限公司 | Automatic feeding system, method and medium |
CN112668961B (en) * | 2020-12-18 | 2022-07-12 | 苏州浪潮智能科技有限公司 | Automatic feeding system, method and medium |
CN113822720A (en) * | 2021-09-27 | 2021-12-21 | 广州市钱大妈农产品有限公司 | Method and device for SAP system to create material certificate to control moving average price |
CN114186181A (en) * | 2022-02-16 | 2022-03-15 | 国家能源集团物资有限公司西南配送中心 | Multi-level redundancy collection control method for spare part supply |
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