CN111639784B

CN111639784B - Inventory management method and related device

Info

Publication number: CN111639784B
Application number: CN202010311561.9A
Authority: CN
Inventors: 崔政; 陈天笑; 章润豪; 项于珂; 袁明轩; 曾嘉
Original assignee: Huawei Technologies Co Ltd
Current assignee: Huawei Technologies Co Ltd
Priority date: 2020-04-20
Filing date: 2020-04-20
Publication date: 2023-04-18
Anticipated expiration: 2040-04-20
Also published as: CN111639784A

Abstract

The application discloses an inventory management method and a related device, wherein the method comprises the following steps: acquiring inventory management data, wherein the inventory management data is used for calculating information of each raw material needing to hold extra inventory and information of each raw material needing to cancel a purchase order; acquiring one or more safety stock codes and one or more exception information codes according to the stock management data, wherein the safety stock codes are codes of raw materials needing to hold additional stock, and the exception information codes are codes of the raw materials needing to cancel a purchase order; acquiring one or more safety inventory holding quantities and one or more exception information canceling quantities according to the inventory management data, wherein the safety inventory holding quantities are the quantity of raw materials needing to hold additional inventory, and the exception information canceling quantities are the quantity of the raw materials needing to cancel a purchase order; and outputting an inventory management list, wherein the inventory management list is used for managing raw material inventory. By adopting the embodiment of the application, the efficiency of inventory management is improved.

Description

Inventory management method and related device

Technical Field

The present application relates to the field of raw material inventory management technologies, and in particular, to an inventory management method and a related device.

Background

Currently, inventory management considers either the uncertainty of supply alone or the uncertainty of demand alone. Considering uncertainty in supply alone or uncertainty in demand alone may result in inconsistent security inventory policies (by holding a certain amount of additional inventory to resist the risk of starvation due to actual demand being greater than predicted demand) with information-to-exception policies (by canceling purchase orders already placed to reduce the risk of redundancy due to actual demand being less than predicted demand), resulting in inconsistent supply-to-demand matching criteria, resulting in less efficient inventory management.

Disclosure of Invention

The embodiment of the application provides an inventory management method and a related device, which are used for improving the efficiency of inventory management.

In a first aspect, an embodiment of the present application provides an inventory management method, including:

acquiring inventory management data, wherein the inventory management data is used for calculating information of each raw material needing to hold extra inventory and information of each raw material needing to cancel a purchase order;

acquiring one or more safety stock codes and one or more exception information codes according to the stock management data, wherein the safety stock codes are codes of raw materials needing to hold additional stock, and the exception information codes are codes of the raw materials needing to cancel a purchase order;

obtaining one or more safety inventory holding quantities and one or more exception information canceling quantities according to the inventory management data, wherein the safety inventory holding quantities are the quantity of raw materials needing to hold additional inventory, the exception information canceling quantities are the quantity of the raw materials needing to cancel purchase orders, the one or more safety inventory holding quantities correspond to one or more safety inventory codes one by one, and the one or more exception information canceling quantities correspond to the one or more exception information codes one by one;

and outputting an inventory management list, wherein the inventory management list comprises one or more safety inventory codes, one or more safety inventory holding quantities, one or more exception information codes and one or more exception information cancelling quantities, and the inventory management list is used for managing raw material inventory.

It can be seen that, compared to performing inventory management by considering uncertainty of supply alone or uncertainty of demand alone, in the embodiment of the present application, first, a number of codes of raw materials that need to hold additional inventory and a number of codes of raw materials that need to cancel purchase orders are obtained based on inventory management data, then, a number of raw materials that need to hold additional inventory and a number of raw materials that need to cancel purchase orders are obtained based on inventory management data, and finally, an inventory management list is output, and the inventory management list is used for managing raw material inventory. The method and the system have the advantages that the uncertainty of supply and demand is considered, the information of the raw materials needing to hold extra inventory and the information of the raw materials needing to cancel the purchase order are determined by adopting the uniform supply and demand matching standard for each raw material, and then the inventory management personnel can efficiently manage the raw material inventory based on the inventory management list, so that the method and the system are beneficial to improving the efficiency of inventory management.

In some possible embodiments, obtaining one or more safety inventory codes and one or more exception information codes from the inventory management data includes:

obtaining a plurality of supply and demand matching factor predicted values according to inventory management data and a pre-stored supervised learning model, wherein the plurality of supply and demand matching factor predicted values correspond to a plurality of raw material codes one to one;

obtaining a supply and demand matching factor material shortage risk threshold value and a supply and demand matching factor redundancy risk threshold value corresponding to each raw material code in a plurality of raw material codes according to inventory management data;

selecting one or more safety stock codes of which the supply and demand matching factor predicted values are smaller than the corresponding supply and demand matching factor material shortage risk threshold from the raw material codes;

and one or more exceptional information codes with supply and demand matching factor predicted values larger than the corresponding supply and demand matching factor redundancy risk threshold value are selected from the raw material codes.

It can be seen that, in this example, first, a plurality of supply and demand matching factor predicted values are obtained based on inventory management data and a supervised learning model, then, a supply and demand matching factor material shortage risk threshold and a supply and demand matching factor redundancy risk threshold corresponding to each raw material code are obtained based on inventory management data, finally, a number of codes of raw materials that need to hold additional inventory and a number of codes of raw materials that need to cancel purchase orders are selected from the plurality of raw material codes respectively, and then, a number of raw materials that need to hold additional inventory and a number of raw materials that need to cancel purchase orders are obtained based on inventory management data, and an inventory management list is output, and the inventory management list is used for managing raw material inventory. This enables different supply and demand matching standards to be established for different raw materials. In addition, in consideration of uncertainty of supply and demand, information of each raw material needing to hold extra inventory and information of each raw material needing to cancel purchase orders are determined based on each supply and demand matching standard, and then inventory management personnel can efficiently manage raw material inventory based on inventory management lists, so that the inventory management efficiency is improved.

In some possible embodiments, obtaining a plurality of supply and demand matching factor predicted values according to the inventory management data and a pre-stored supervised learning model comprises:

the method comprises the steps of obtaining a plurality of raw material characteristic sets included by inventory management data, wherein the raw material characteristic sets correspond to a plurality of raw material codes one by one, and the raw material characteristic sets include a shelf life, a supply attribute, a material value, a special degree, a replenishment progress, an in-transit order, an in-inventory, a historical demand, a code portrait and a shortage grade;

and inputting the plurality of raw material characteristic sets into a pre-stored supervision learning model for processing, and outputting a plurality of supply and demand matching factor predicted values.

It can be seen that, in this example, the plurality of supply and demand matching factor predicted values are determined based on the plurality of raw material feature sets and the supervised learning model, and then the supply and demand matching factor material shortage risk threshold value and the supply and demand matching factor redundancy risk threshold value corresponding to each raw material code are obtained based on the inventory management data, a number of codes of raw materials that need to hold additional inventory and a number of codes of raw materials that need to cancel purchase orders are respectively selected from the plurality of raw material codes, a number of raw materials that need to hold additional inventory and a number of raw materials that need to cancel purchase orders are obtained based on the inventory management data, and an inventory management list is output, and the inventory management list is used for managing raw material inventory. The supply and demand matching factor predicted value corresponding to the raw material is jointly predicted based on a plurality of characteristics of the raw material, so that the accuracy of the supply and demand matching factor predicted value is improved. In addition, different supply and demand matching standards are formulated for different raw materials, uncertainty of supply and demand is considered, information of each raw material needing to hold extra inventory and information of each raw material needing to cancel a purchase order are determined based on each supply and demand matching standard, and then inventory management personnel can efficiently manage raw material inventory based on inventory management lists, so that the inventory management efficiency is improved.

In some possible embodiments, obtaining the supply and demand matching factor starvation risk threshold and the supply and demand matching factor redundancy risk threshold corresponding to each raw material code of the plurality of raw material codes according to the inventory management data includes:

acquiring a plurality of raw material characteristic sets included in inventory management data, wherein the raw material characteristic sets correspond to a plurality of raw material codes one by one, and each raw material characteristic set comprises money, a purchasing mode, a product line, material types, supply attributes and a shelf life;

classifying the raw material codes according to the raw material characteristic sets to obtain one or more raw material code sets;

obtaining one or more supply and demand matching factor value sets which are in one-to-one correspondence with one or more raw material coding sets, wherein the supply and demand matching factor value sets comprise all supply and demand matching factor values of the corresponding raw material coding sets in a preset time period;

and determining a first preset subsite of each supply and demand matching factor value set as a supply and demand matching factor material shortage risk threshold corresponding to the target raw material code set, and determining a second preset subsite of each supply and demand matching factor value set as a supply and demand matching factor redundancy risk threshold corresponding to the target raw material code set, wherein the target raw material code set is a raw material code set corresponding to each supply and demand matching factor value set.

It can be seen that, in this example, first, a plurality of raw material codes are classified based on a plurality of raw material characteristic sets to obtain one or more raw material code sets, then, one or more supply and demand matching factor value sets corresponding to the one or more raw material code sets one to one are obtained, finally, a supply and demand matching factor starvation risk threshold and a supply and demand matching factor redundancy risk threshold corresponding to each raw material code set are respectively obtained based on each supply and demand matching factor value set, so that a plurality of codes of raw materials that need to hold extra inventory and a plurality of codes of raw materials that need to cancel purchase orders are respectively selected from the plurality of raw material codes, the number of raw materials that need to hold extra inventory and the number of raw materials that need to cancel purchase orders are obtained based on inventory management data, an inventory management list is output, and the inventory management list is used for managing the raw materials. Different supply and demand matching standards are made for different raw materials, uncertainty of supply and demand is considered, information of each raw material needing to hold extra inventory and information of each raw material needing to cancel a purchase order are determined based on each supply and demand matching standard, and then inventory management personnel can efficiently manage raw material inventory based on an inventory management list, so that the efficiency of inventory management is improved.

In some possible embodiments, obtaining one or more security inventory holding quantities and one or more exception information cancellation quantities from the inventory management data comprises:

inputting the inventory management data, one or more safety inventory codes and one or more exception information codes into a pre-stored inventory updating simulator for processing, and outputting one or more raw material satisfaction rates and one or more raw material turnover rates, wherein the one or more raw material satisfaction rates correspond to the one or more safety inventory codes one by one, and the one or more raw material turnover rates correspond to the one or more exception information codes one by one;

inputting the inventory management data, the one or more raw material satisfaction rates and the one or more raw material turnover rates into a prestored strategy quantity updating iterator for processing, and outputting one or more safety inventory holding quantities and one or more exception information cancellation quantities.

It can be seen that, in this example, first, one or more raw material satisfaction rates and one or more raw material turnover rates are obtained based on inventory management data, a number of codes for raw materials that need to hold additional inventory, a number of codes for raw materials that need to cancel a purchase order, and an inventory update simulator, and then a number of raw materials that need to hold additional inventory and a number of raw materials that need to cancel a purchase order are obtained based on inventory management data, one or more raw material satisfaction rates, one or more raw material turnover rates, and a policy quantity update iterator; and then outputting an inventory management list, wherein the inventory management list is used for managing raw material inventory. The uncertainty of supply and demand is considered, and the information of each raw material needing to hold extra inventory and the information of each raw material needing to cancel the purchase order are determined based on each supply and demand matching standard, so that the inventory management personnel can efficiently manage the raw material inventory based on the inventory management list, and the inventory management efficiency is improved.

In some possible embodiments, inputting the inventory management data, the one or more safety inventory codes, and the one or more exception information codes into a pre-stored inventory update simulator for processing, and outputting one or more raw material satisfaction rates and one or more raw material turnover rates, comprises:

inputting the inventory management data, the one or more safety inventory codes and the one or more exception information codes into a pre-stored inventory update simulator;

obtaining a current supply and demand matching factor value corresponding to each safety stock code in one or more safety stock codes according to the stock management data;

determining the ratio of the current supply and demand matching factor value corresponding to each safety stock code to the current shelf life corresponding to the current supply and demand matching factor value as the raw material satisfaction rate corresponding to each safety stock code;

obtaining the current inventory amount and the current ex-warehouse amount corresponding to each exception information code in one or more exception information codes according to the inventory management data;

and determining the ratio of the current inventory amount corresponding to each exception information code to the current ex-warehouse amount corresponding to the exception information code as the raw material turnover rate corresponding to each exception information code.

As can be seen, in this example, the ratio of the current supply-demand matching factor value corresponding to the code of each raw material that needs to hold an additional inventory to the current shelf life corresponding to the code of each raw material that needs to hold an additional inventory is determined as the raw material satisfaction rate corresponding to the code of each raw material that needs to hold an additional inventory, the ratio of the current inventory amount corresponding to the code of each raw material that needs to cancel a purchase order to the current ex-warehouse amount corresponding to the code of each raw material that needs to cancel a purchase order is determined as the raw material turnover rate corresponding to the code of each raw material that needs to cancel a purchase order, and then an inventory management list is output, where the inventory management list is used to manage the raw material inventory, based on inventory management data, one or more raw material satisfaction rates, one or more raw material turnover rates, and a policy quantity update iterator. The uncertainty of supply and demand is considered, and the information of each raw material needing to hold extra inventory and the information of each raw material needing to cancel the purchase order are determined based on each supply and demand matching standard, so that the inventory management personnel can efficiently manage the raw material inventory based on the inventory management list, and the inventory management efficiency is improved.

In some possible embodiments, inputting the inventory management data, the one or more raw material satisfaction rates, and the one or more raw material turnover rates into a pre-stored policy quantity update iterator for processing, and outputting the one or more safety inventory holding quantities and the one or more exception information cancellation quantities, comprises:

inputting the inventory management data, the one or more raw material satisfaction rates and the one or more raw material turnover rates into a prestored strategy quantity updating iterator;

obtaining one or more initial safety stock holding quantities according to the stock management data, wherein the one or more initial safety stock holding quantities correspond to one or more raw material satisfaction rates one to one;

performing multiple iterative optimization on one or more initial inventory holding quantities according to one or more raw material satisfaction rates to obtain one or more safety inventory holding quantities;

obtaining one or more initial exception information cancellation amounts according to the inventory management data, wherein the one or more initial exception information cancellation amounts correspond to one or more raw material turnover rates one to one;

and performing multiple iterative optimization on one or more initial exception information cancellation quantities according to one or more raw material turnover rates to obtain one or more exception information cancellation quantities.

As can be seen, in this example, one or more initial inventory holds are iteratively optimized a plurality of times based on one or more raw material satisfaction rates, resulting in one or more safety inventory holds; performing multiple iterative optimization on one or more initial exception information cancellation quantities based on one or more raw material turnover rates to obtain one or more exception information cancellation quantities, so as to obtain more accurate quantity of a plurality of raw materials needing to hold additional inventory and quantity of a plurality of raw materials needing to cancel purchase orders; and then outputting an inventory management list, wherein the inventory management list is used for managing raw material inventory. The uncertainty of supply and demand is considered, and the information of each raw material needing to hold extra inventory and the information of each raw material needing to cancel the purchase order are determined based on each supply and demand matching standard, so that the inventory management personnel can efficiently manage the raw material inventory based on the inventory management list, and the inventory management efficiency is improved.

In a second aspect, an embodiment of the present application provides an inventory management device, including:

the acquisition unit is used for acquiring inventory management data, and the inventory management data is used for calculating information of each raw material needing to hold extra inventory and information of each raw material needing to cancel a purchase order;

the obtaining unit is further used for obtaining one or more safety stock codes and one or more exception information codes according to the stock management data, wherein the safety stock codes are codes of raw materials needing to hold extra stocks, and the exception information codes are codes of raw materials needing to cancel purchase orders;

the obtaining unit is further used for obtaining one or more safety stock holding quantities and one or more exception information cancelling quantities according to the stock management data, wherein the safety stock holding quantities are the quantity of raw materials needing to hold additional stocks, the exception information cancelling quantities are the quantity of the raw materials needing to cancel purchase orders, the one or more safety stock holding quantities correspond to one or more safety stock codes one by one, and the one or more exception information cancelling quantities correspond to the one or more exception information codes one by one;

the output unit is used for outputting an inventory management list, the inventory management list comprises one or more safety inventory codes, one or more safety inventory holding quantities, one or more exception information codes and one or more exception information cancelling quantities, and the inventory management list is used for managing raw material inventory.

In a third aspect, the present application provides an inventory management device, the device comprising a processor, a communication interface, and a memory coupled to each other, wherein:

the communication interface is used for obtaining inventory management data, and the inventory management data is used for calculating information of each raw material needing to hold extra inventory and information of each raw material needing to cancel a purchase order;

the processor is used for obtaining one or more safety stock codes and one or more exception information codes according to the stock management data, the safety stock codes are codes of raw materials needing to hold additional stock, and the exception information codes are codes of raw materials needing to cancel the purchase order;

the processor is further used for obtaining one or more safety stock holding quantities and one or more exception information canceling quantities according to the stock management data, the safety stock holding quantities are the quantity of raw materials needing to hold additional stocks, the exception information canceling quantities are the quantity of the raw materials needing to cancel purchase orders, the one or more safety stock holding quantities correspond to the one or more safety stock codes one by one, and the one or more exception information canceling quantities correspond to the one or more exception information codes one by one;

and the processor is also used for outputting an inventory management list, the inventory management list comprises one or more safety inventory codes, one or more safety inventory holding quantities, one or more exception information codes and one or more exception information cancelling quantities, and the inventory management list is used for managing raw material inventory.

In a fourth aspect, the present application provides a computer-readable storage medium storing computer instructions, wherein the computer program is executed by hardware (for example, a processor, etc.) to implement part or all of the steps of any one of the methods performed by the inventory management device in the embodiments of the present application.

In a fifth aspect, embodiments of the present application provide a computer program product, which when run on a computer, causes the computer to perform some or all of the steps of the inventory management method of the above aspects.

In a sixth aspect, an embodiment of the present application provides a chip system, where the chip system includes a processor, and is configured to support an electronic device to implement some or all of the steps of the inventory management method in the above aspects.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments or the background art of the present application, the drawings required to be used in the embodiments or the background art of the present application will be described below.

FIG. 1A is a schematic diagram of a safety stock formula provided in an embodiment of the present application;

FIG. 1B is a diagram illustrating exception information provided by an embodiment of the present application;

fig. 2A is a schematic flowchart of an inventory management method according to an embodiment of the present disclosure;

fig. 2B is a schematic flowchart illustrating an inventory management device according to an embodiment of the present disclosure obtaining one or more safety inventory codes and one or more exception information codes according to inventory management data;

fig. 2C is a schematic diagram of obtaining multiple supply and demand matching factor predicted values according to an embodiment of the present application;

fig. 2D is a schematic flowchart of a method for acquiring, by an inventory management device according to inventory management data, a supply-demand matching factor starved risk threshold and a supply-demand matching factor redundant risk threshold corresponding to each raw material code of one or more raw material codes according to the embodiment of the present application;

FIG. 2E is a schematic illustration of obtaining one or more raw material satisfaction rates and one or more raw material turnover rates as provided by an embodiment of the present application;

FIG. 2F is a schematic diagram of obtaining one or more security inventory holding quantities and one or more exception cancellation quantities according to an embodiment of the present application;

fig. 2G is a schematic flowchart illustrating a method for inputting inventory management data, one or more safety inventory codes, and one or more exception information codes into a pre-stored inventory update simulator for processing, and outputting one or more raw material satisfaction rates and one or more raw material turnover rates by an inventory management apparatus according to an embodiment of the present disclosure;

fig. 2H is a schematic flowchart illustrating an inventory management apparatus according to an embodiment of the present disclosure inputting inventory management data, one or more raw material satisfaction rates, and one or more raw material turnover rates into a pre-stored policy quantity update iterator for processing, and outputting one or more security inventory holding quantities and one or more exception information cancellation methods;

fig. 2I is a schematic flowchart of an inventory management device that performs multiple iterations on multiple initial inventory quantities according to multiple raw material satisfaction rates to obtain multiple security inventory quantity methods according to an embodiment of the present application;

fig. 2J is a schematic flowchart of an inventory management device that performs multiple iterations on multiple initial exception information cancellation amounts according to multiple raw material turnover rates to obtain multiple exception information cancellation amounts according to an embodiment of the present application;

FIG. 3 is a schematic flow chart of another inventory management method provided in an embodiment of the present application;

fig. 4 is a block diagram illustrating functional units of an inventory management device according to an embodiment of the present disclosure;

fig. 5 is a schematic structural diagram of an inventory management device according to an embodiment of the present application;

fig. 6 is a schematic structural diagram of a chip system according to an embodiment of the present disclosure.

Detailed Description

The embodiments of the present application will be described below with reference to the drawings. The terminology used in the description of the embodiments herein is for the purpose of describing particular embodiments herein only and is not intended to be limiting of the application.

Referring to fig. 1A, fig. 1A is a schematic diagram of a safety stock formula provided in an embodiment of the present application, where the safety stock formula is: stock of safety =1.29 standard deviation time in stock ^0.7, the correctness of the stock of safety formula is based on several stronger assumptions. First, assuming that random demand satisfies a normal distribution with mean point prediction, a 90% probability of demand being less than (mean +1.29 standard deviation) is obtained. This assumption often fails. The random demand does not present a symmetrical normal distribution, but a long-tailed distribution, with a small probability of a large value. Second, assume inventory and in-transit inventory are deterministic, taking into account only uncertainty in demand. But often there is uncertainty about the supply, and it is possible that the supplier will respond to the delivery in time and in volume, and actually delay the delivery. The starvation risk comes not only from an increase in demand but also possibly from a decrease in supply. Safety stock needs to take this part of the risk into account. Finally, this formula does not take into account the respective characteristics of the materials.

Referring to fig. 1B, fig. 1B is a schematic diagram of exception information provided in the embodiment of the present application, and for the exception information, the academic world has no corresponding research. In the industry application, the system, when generating exception information, compares the total demand forecast for the duration of the shipment with the total supply for the duration of the shipment and eliminates the excess as long as the total supply is greater than the total demand forecast. Also, the uncertainty of demand and supply is not considered. Demand fluctuations are not taken into account, and the effect of supply fluctuations is already relied upon, only by point prediction. When the real value and the predicted value deviate, the supply and demand can be unbalanced again, so that the decision is over sensitive, and the purchase command and the cancel command are issued repeatedly and alternately. The week is just cancelled and a new order is placed in the next week. Or cancelled upon the new order being placed.

In order to solve the problem of low inventory management efficiency, embodiments of the present application provide an inventory management method and a related device.

Referring to fig. 2A, fig. 2A is an inventory management method according to an embodiment of the present application, where the inventory management method includes steps 201 to 204, which are specifically as follows:

201. the inventory management means obtains inventory management data for calculating information on each raw material that needs to hold additional inventory and information on each raw material that needs to cancel the purchase order.

The inventory management data may include a plurality of raw material characteristic sets including a shelf life, supply attributes, material value, specialization, replenishment schedule, orders in transit, in-stock inventory, historical demand, encoded representations, debt ratings.

The inventory management data can be combined with a supervised learning model to obtain a plurality of supply and demand matching factor predicted values.

The inventory management data may also include a plurality of raw material characteristic sets including amounts, procurement patterns, product lines, material types, supply attributes, and dates.

The inventory management data may be used to obtain a supply and demand matching factor starvation risk threshold and a supply and demand matching factor redundancy risk threshold corresponding to each of a plurality of raw material codes.

The inventory management data may also incorporate one or more safety inventory codes, one or more exception information codes, and an inventory update simulator to obtain one or more raw material fulfillment rates and one or more raw material turnover rates.

The inventory management data may also be updated by the iterator in conjunction with the one or more raw material fulfillment rates, the one or more raw material turnover rates, and the policy amount to obtain one or more security inventory holding amounts and one or more exception information cancellation amounts.

In some possible embodiments, the inventory management device obtains inventory management data, including:

the inventory management device sends a data request to an inventory management database, wherein the data request is used for indicating the inventory management database to feed back inventory management data in a certain time period; the inventory management device receives inventory management data within a certain time period during which the inventory management database transmits a data request.

It should be noted that, the above is only one possible embodiment for the inventory management device to obtain the inventory management data, and the inventory management device may also obtain the inventory management data through other possible embodiments, which is not limited herein.

202. The inventory management device obtains one or more safety inventory codes and one or more exception information codes according to the inventory management data, wherein the safety inventory codes are codes of raw materials needing to hold extra inventory, and the exception information codes are codes of the raw materials needing to cancel the purchase order.

Referring to fig. 2B, fig. 2B is a schematic flowchart illustrating a method for acquiring one or more security inventory codes and one or more exception information coding methods according to inventory management data by an inventory management device according to an embodiment of the present disclosure, where the method for acquiring one or more security inventory codes and one or more exception information coding methods according to inventory management data by an inventory management device includes steps 211 to 214, which are as follows:

211. the inventory management device obtains a plurality of supply and demand matching factor predicted values according to inventory management data and a pre-stored supervised learning model, and the plurality of supply and demand matching factor predicted values correspond to a plurality of raw material codes one to one;

212. the inventory management device obtains a supply and demand matching factor material shortage risk threshold and a supply and demand matching factor redundancy risk threshold corresponding to each raw material code in the plurality of raw material codes according to the inventory management data;

213. the inventory management device selects one or more safety inventory codes from the raw material codes, wherein the predicted value of the supply and demand matching factor is smaller than the corresponding supply and demand matching factor material shortage risk threshold;

214. the inventory management device selects one or more exceptional information codes from the raw material codes, wherein the predicted value of the supply and demand matching factor is larger than the redundancy risk threshold value of the corresponding supply and demand matching factor.

The supervised learning model may be a Cat Boost or an XG Boost, which is not limited herein.

The number of the plurality of raw material codes is greater than the number of the one or more safety stock codes.

The number of the plurality of raw material codes is greater than the number of the one or more exception information codes.

Optionally, the inventory management device may select one or more safety inventory codes from the plurality of raw material codes, and then select one or more exception information codes from the plurality of raw material codes.

Optionally, the inventory management device may select one or more exception information codes from the plurality of raw material codes, and then select one or more safety inventory codes from the plurality of raw material codes.

Optionally, in the process of selecting one or more safety stock codes from the plurality of raw material codes, the stock management device selects one or more exception information codes from the plurality of raw material codes.

As can be seen, in this example, first, a plurality of supply and demand matching factor predicted values are obtained based on the inventory management data and the supervised learning model, then, a supply and demand matching factor starved risk threshold value and a supply and demand matching factor redundant risk threshold value corresponding to each raw material code are obtained based on the inventory management data, finally, a number of codes of raw materials that need to hold additional inventory and a number of codes of raw materials that need to cancel purchase orders are selected from the plurality of raw material codes respectively, and then, a number of raw materials that need to hold additional inventory and a number of raw materials that need to cancel purchase orders are obtained based on the inventory management data, and an inventory management list is output, wherein the inventory management list is used for managing raw material inventory. Thus, different supply and demand matching standards are set for different raw materials. In addition, in consideration of uncertainty of supply and demand, information of each raw material needing to hold additional inventory and information of each raw material needing to cancel purchase orders are determined based on each supply and demand matching standard, and then inventory management personnel can efficiently manage raw material inventory based on inventory management lists, so that the inventory management efficiency is improved.

In some possible embodiments, the inventory management device obtains a plurality of supply and demand matching factor prediction values according to inventory management data and a pre-stored supervised learning model, and includes:

the inventory management device acquires a plurality of raw material characteristic sets included by inventory management data, the raw material characteristic sets correspond to a plurality of raw material codes one by one, and the raw material characteristic sets include a shelf period, a supply attribute, a material value, a special degree, a replenishment progress, an on-road order, an in-stock inventory, a historical demand, a code portrait and a material shortage grade;

the inventory management device inputs a plurality of raw material characteristic sets into a pre-stored supervision learning model for processing, and outputs a plurality of supply and demand matching factor predicted values.

The term means the time from when you decide to get the good (product) to when you can get it.

If classified by importance of the purchasing business relationship with the provider, the provisioning attributes may include business-type provisioning, priority provisioning, barter provisioning, partner-type provisioning; if classified by the 80/20 rule, the provisioning properties may include key provisioning, general provisioning; if classified in terms of stability of the transaction relationship with the supplier, the supply attributes may include short-term targeting, long-term targeting class, penetration type, federation type, vertical integration type.

The material value refers to the value of the raw material itself.

The degree of specificity is the degree of specificity of the raw material.

The replenishment progress is a degree of progress of the task of replenishing the shelf with the product at the designated price by the tally clerk at a fixed or indefinite time in accordance with the display position of each product.

An in-transit order refers to an order for raw materials in transit.

The stock-in-stock refers to stock actually stored in the stock warehouse.

The historical demand refers to the historical ex-warehouse condition of the raw materials.

The encoded representation is one or more labels that the material is encoded with.

The material shortage grade refers to the corresponding shortage degree of the raw material.

Optionally, the inventory management device sequentially inputs the multiple raw material feature sets into a pre-stored supervised learning model for processing, and sequentially outputs multiple supply and demand matching factor predicted values.

Optionally, the inventory management device inputs a plurality of raw material feature sets into a pre-stored supervised learning model in a parallel manner for processing, and outputs a plurality of supply and demand matching factor predicted values in parallel.

Optionally, the inventory management device inputs a plurality of raw material feature sets into a pre-stored supervised learning model in a batch mode for processing, and outputs a plurality of supply and demand matching factor predicted values in batches.

For example, as shown in fig. 2C, fig. 2C is a schematic diagram of obtaining a plurality of forecast values of supply and demand matching factors, which is provided by an embodiment of the present application, the input of the supervised learning model includes a plurality of good periods, a plurality of supply attributes, a plurality of material values, a plurality of specialization degrees, a plurality of replenishment progress degrees, a plurality of in-transit orders, a plurality of historical demands, a plurality of encoded drawings, and a plurality of shortage levels, the output of the supervised learning model includes a plurality of forecast values of supply and demand matching factors, which are in one-to-one correspondence with a plurality of good periods, a plurality of supply attributes, a plurality of material values, a plurality of specialization degrees, a plurality of replenishment progress degrees, a plurality of in-transit orders, a plurality of in-transit inventories, a plurality of historical demands, a plurality of images encoded drawings, and a plurality of shortage levels.

Referring to fig. 2D, fig. 2D is a schematic flow chart of a method for an inventory management device to obtain a supply and demand matching factor starved risk threshold and a supply and demand matching factor redundant risk threshold corresponding to each raw material code of one or more raw material codes according to inventory management data according to an embodiment of the present application, where the method for the inventory management device to obtain the supply and demand matching factor starved risk threshold and the supply and demand matching factor redundant risk threshold corresponding to each raw material code of one or more raw material codes according to inventory management data includes steps 221-224 as follows:

221. the inventory management device acquires a plurality of raw material characteristic sets included in inventory management data, the raw material characteristic sets correspond to a plurality of raw material codes one by one, and the raw material characteristic sets include money, a purchasing mode, a product line, material types, supply attributes and a delivery date;

222. the inventory management device classifies a plurality of raw material codes according to a plurality of raw material characteristic sets to obtain one or more raw material code sets;

223. the inventory management device obtains one or more supply and demand matching factor value sets which are in one-to-one correspondence with one or more raw material code sets, wherein the supply and demand matching factor value sets comprise all supply and demand matching factor values of the corresponding raw material code sets in a preset time period;

224. the inventory management device determines a first preset subsite of each supply and demand matching factor value set as a supply and demand matching factor material shortage risk threshold corresponding to a target raw material code set, determines a second preset subsite of each supply and demand matching factor value set as a supply and demand matching factor redundancy risk threshold corresponding to a target raw material code set, and the target raw material code set is a raw material code set corresponding to each supply and demand matching factor value set.

The purchasing model is a general term for the method and form used by various subjects (including governments, enterprises, institutions, individuals, organizations, groups, etc.) in purchasing. The procurement patterns may include bid procurement, non-bid procurement, and consolidated procurement.

A product line refers to a group of related products that may function similarly, be sold to the same group of customers, be sold through the same route, or be within the same price range.

The material type refers to the classification of the material or raw material.

Optionally, the inventory management device classifies the raw material codes according to the raw material feature sets to obtain one or more raw material code sets, including:

if the raw material code A and the raw material code B meet the preset condition, the inventory management device determines that the raw material code A and the raw material code B are in the same raw material code set, and the raw material code A and the raw material code B are any one of the raw material codes.

The preset conditions are as follows: the amount corresponding to the raw material code A and the amount corresponding to the raw material code B are in the same preset amount range, the purchasing mode corresponding to the raw material code A is the same as the purchasing mode corresponding to the raw material code B, the product line corresponding to the raw material code A is the same as the product line corresponding to the raw material code B, the material type corresponding to the raw material code A and the material type corresponding to the raw material code B are in the same preset material type range, the supply attribute corresponding to the raw material code A is the same as the supply attribute corresponding to the raw material code B, and the shelf life corresponding to the raw material code A and the shelf life corresponding to the raw material code B are in the same preset shelf life range.

It should be noted that, the above-mentioned is only one possible embodiment for obtaining one or more raw material code sets for the inventory management device, and the inventory management device may also obtain one or more raw material code sets through other possible embodiments, which is not limited herein.

The preset period may be preset, such as the preset period being 1 year.

Supply and demand match factor value = available inventory/(a + b),

the supply and demand matching factor value represents the number of weeks that the current inventory can be used in consideration of the fluctuation of demand; a is the average value of the actual delivery of the goods in the past T weeks and the predicted demand in the future T weeks, b is the standard deviation of the actual delivery of the goods in the past T weeks and the predicted demand in the future T weeks, and T is the shelf life.

The prediction requirement of the future T weeks is obtained by the inventory management device through machine learning based on the real delivery of the past T weeks.

Quantile points, also called quantiles, refer to numerical points which equally divide the probability distribution range of a random variable into several parts; the first preset quantile and the second preset quantile can be preset, in other words, the professional can manually set the first preset quantile and the second preset quantile based on historical measurement data.

Optionally, the inventory management device determines a first preset subsite of each supply and demand matching factor value set as a supply and demand matching factor starvation risk threshold corresponding to the target raw material coding set, and then determines a second preset subsite of each supply and demand matching factor value set as a supply and demand matching factor redundancy risk threshold corresponding to the target raw material coding set.

Optionally, the inventory management device first determines the second preset quantile of each supply and demand matching factor value set as the supply and demand matching factor redundancy risk threshold corresponding to the target raw material code set, and then determines the first preset quantile of each supply and demand matching factor value set as the supply and demand matching factor starvation risk threshold corresponding to the target raw material code set.

Optionally, in the process of determining the first preset subsite of each supply and demand matching factor value set as the supply and demand matching factor starvation risk threshold corresponding to the target raw material coding set, the inventory management device determines the second preset subsite of each supply and demand matching factor value set as the supply and demand matching factor redundancy risk threshold corresponding to the target raw material coding set.

It can be seen that, in this example, first, a plurality of raw material codes are classified based on a plurality of raw material characteristic sets to obtain one or more raw material code sets, then, one or more supply and demand matching factor value sets corresponding to the one or more raw material code sets one to one are obtained, finally, a supply and demand matching factor starvation risk threshold and a supply and demand matching factor redundancy risk threshold corresponding to each raw material code set are respectively obtained based on each supply and demand matching factor value set, so that a plurality of codes of raw materials that need to hold extra inventory and a plurality of codes of raw materials that need to cancel purchase orders are respectively selected from the plurality of raw material codes, the number of raw materials that need to hold extra inventory and the number of raw materials that need to cancel purchase orders are obtained based on inventory management data, an inventory management list is output, and the inventory management list is used for managing the raw materials. Because different supply and demand matching standards are established for different raw materials, uncertainty of supply and demand is considered, information of each raw material needing to hold additional inventory and information of each raw material needing to cancel a purchase order are determined based on each supply and demand matching standard, and then inventory management personnel can efficiently manage the raw material inventory based on the inventory management list, and the inventory management efficiency is improved.

203. The inventory management device obtains one or more safety inventory holding quantities and one or more exception information canceling quantities according to the inventory management data, wherein the safety inventory holding quantities are the quantity of raw materials needing to hold additional inventory, the exception information canceling quantities are the quantity of the raw materials needing to cancel purchase orders, the one or more safety inventory holding quantities correspond to one or more safety inventory codes one by one, and the one or more exception information canceling quantities correspond to the one or more exception information codes one by one.

In some possible embodiments, the inventory management device obtaining one or more security inventory holding amounts and one or more exception information cancellation amounts from the inventory management data includes:

the inventory management device inputs the inventory management data, one or more safety inventory codes and one or more exception information codes into a pre-stored inventory updating simulator for processing, and outputs one or more raw material satisfaction rates and one or more raw material turnover rates, wherein the one or more raw material satisfaction rates correspond to the one or more safety inventory codes one by one, and the one or more raw material turnover rates correspond to the one or more exception information codes one by one;

the inventory management device inputs the inventory management data, the one or more raw material satisfaction rates and the one or more raw material turnover rates into a prestored strategy quantity updating iterator for processing, and outputs one or more safety inventory holding quantities and one or more exception information cancellation quantities.

The inventory update simulator is used for simulating the processes of goods arrival and delivery.

The raw material satisfaction rate is used for representing the material shortage condition of the raw material.

The raw material turnover rate is used for representing the redundancy condition of the raw material.

The policy quantity update iterator is used to decide how much policy quantity is needed.

Optionally, the inventory management device inputs the inventory management data into the inventory update simulator, and sequentially inputs the one or more safety inventory codes into the inventory update simulator for processing, and sequentially outputs the one or more raw material satisfaction rates.

Optionally, the inventory management device inputs the inventory management data into the inventory update simulator, and inputs one or more safety inventory codes into the inventory update simulator in a parallel manner for processing, and outputs one or more raw material satisfaction rates in parallel.

Optionally, the inventory management device inputs the inventory management data into the inventory update simulator, and inputs one or more safety inventory codes into the inventory update simulator for processing in a batch-wise manner, and outputs one or more raw material satisfaction rates in batches.

Similarly, one or more exception information encodings may be entered into the inventory update simulator sequentially, in parallel, or in batch mode.

Similarly, one or more raw material satisfaction rates may be input into the iterator sequentially, in parallel, or in batches.

Similarly, one or more raw material turnover rates may be input into the iterator sequentially, in parallel, or in batches.

For example, as shown in fig. 2E, fig. 2E is a schematic diagram of obtaining one or more raw material satisfaction rates and one or more raw material turnover rates according to an embodiment of the present application, where the input stock management data, the one or more safety stock codes and the one or more exception information codes are input into the stock update simulator, and the output stock update simulator has one or more raw material satisfaction rates and one or more raw material turnover rates.

For example, as shown in fig. 2F, fig. 2F is a schematic diagram for obtaining one or more security inventory holding quantities and one or more exception information cancellation quantities according to an embodiment of the present application, where the policy quantity update iterator includes inventory management data, one or more raw material satisfaction rates, and one or more raw material turnover rates, and the policy quantity update iterator includes one or more security inventory holding quantities and one or more exception information cancellation quantities.

It can be seen that, in this example, first, one or more raw material satisfaction rates and one or more raw material turnover rates are obtained based on inventory management data, a number of codes for raw materials that need to hold additional inventory, a number of codes for raw materials that need to cancel a purchase order, and an inventory update simulator, and then a number of raw materials that need to hold additional inventory and a number of raw materials that need to cancel a purchase order are obtained based on inventory management data, one or more raw material satisfaction rates, one or more raw material turnover rates, and a policy quantity update iterator; and then outputting an inventory management list, wherein the inventory management list is used for managing the raw material inventory. The uncertainty of supply and demand is considered, and the information of each raw material needing to hold extra inventory and the information of each raw material needing to cancel the purchase order are determined based on each supply and demand matching standard, so that the inventory management personnel can efficiently manage the raw material inventory based on the inventory management list, and the inventory management efficiency is improved.

Referring to fig. 2G, fig. 2G is a schematic flow chart of an inventory management device inputting inventory management data, one or more safety inventory codes and one or more exception information codes into a pre-stored inventory update simulator for processing, and outputting one or more raw material satisfaction rates and one or more raw material turnover rates, the inventory management device inputting inventory management data, one or more safety inventory codes and one or more exception information codes into a pre-stored inventory update simulator for processing, and the method for outputting one or more raw material satisfaction rates and one or more raw material turnover rates comprising steps 231-235 according to an embodiment of the present disclosure as follows:

231. the inventory management device inputs inventory management data, one or more safety inventory codes and one or more exception information codes into a pre-stored inventory updating simulator;

232. the inventory management device obtains a current supply and demand matching factor value corresponding to each safety inventory code in one or more safety inventory codes according to the inventory management data;

233. the inventory management device determines the ratio of the current supply and demand matching factor value corresponding to each safety inventory code to the current shelf life corresponding to the current supply and demand matching factor value as the raw material satisfaction rate corresponding to each safety inventory code;

234. the inventory management device obtains the current inventory amount and the current ex-warehouse amount corresponding to each exception information code in one or more exception information codes according to the inventory management data;

235. and the inventory management device determines the ratio of the current inventory amount corresponding to each exception information code to the current ex-warehouse amount corresponding to the exception information code as the raw material turnover rate corresponding to each exception information code.

Inventory management data may include the current shelf life.

The inventory management data may further include a current inventory quantity corresponding to the one or more exception information codes and one or more inventory unit prices, the one or more inventory unit prices corresponding to the current inventory quantity corresponding to the one or more exception information codes.

The inventory management data may further include a current ex-warehouse quantity corresponding to the one or more exception information codes and one or more ex-warehouse unit prices, and the one or more ex-warehouse unit prices correspond to the current ex-warehouse quantity corresponding to the one or more exception information codes in a one-to-one manner.

The current ex-warehouse quantity corresponding to the one or more exception information codes is obtained by the inventory management device through machine learning based on the current inventory quantity corresponding to the one or more exception information codes.

Referring to fig. 2H, fig. 2H is a schematic flowchart illustrating an inventory management device inputting inventory management data, one or more raw material satisfaction rates, and one or more raw material turnover rates into a pre-stored policy quantity update iterator for processing, and outputting one or more security inventory quantities and one or more exception information cancellation methods, where the inventory management device inputting inventory management data, one or more raw material satisfaction rates, and one or more raw material turnover rates into a pre-stored policy quantity update iterator for processing, and outputting one or more security inventory quantities and one or more exception information cancellation methods, which includes steps 241-245, specifically as follows:

241. the inventory management device inputs the inventory management data, one or more raw material satisfaction rates and one or more raw material turnover rates into a prestored strategy quantity updating iterator;

242. the inventory management device obtains one or more initial safety inventory holding quantities according to the inventory management data, and the one or more initial safety inventory holding quantities are in one-to-one correspondence with one or more raw material satisfaction rates;

243. the inventory management device performs multiple iterative optimization on one or more initial inventory holding quantities according to one or more raw material satisfaction rates to obtain one or more safety inventory holding quantities;

244. the inventory management device obtains one or more initial exception information cancellation quantities according to the inventory management data, and the one or more initial exception information cancellation quantities are in one-to-one correspondence with one or more raw material turnover rates;

245. and the inventory management device performs multiple iterative optimization on the one or more initial exception information cancellation quantities according to the one or more raw material turnover rates to obtain one or more exception information cancellation quantities.

Security inventory holding quantity = coefficient n demand standard deviation,

the coefficient n may be preset, in other words, a professional may manually set the coefficient n based on historical measurement data; the quantity of the safe stock can be controlled by controlling the coefficient n; the demand standard deviation is the standard deviation of the actual ex-warehouse of the past T weeks and the predicted demand of the future T weeks; the demand labeling difference represents demand fluctuation, and the larger the demand fluctuation is, the larger the safety stock quantity is.

The initial amount of stock of safety materials corresponding to a certain raw material satisfaction rate is the product of the initial coefficient n and the demand standard deviation corresponding to a certain raw material satisfaction rate.

Referring to fig. 2I, fig. 2I is a schematic flow chart of an inventory management device according to a plurality of raw material satisfaction rates, performing a plurality of iterations on a plurality of initial inventory quantities to obtain a plurality of safety inventory quantity methods, where the inventory management device performs a plurality of iterations on a plurality of initial inventory quantities according to a plurality of raw material satisfaction rates to obtain a plurality of safety inventory quantity methods, and includes steps 251 to 256, which are specifically as follows:

251. the inventory management device selects one or more raw material satisfaction rates from the raw material satisfaction rates according to a first preset selection strategy, and performs increasing adjustment on the one or more raw material satisfaction rates to obtain a plurality of adjusted raw material satisfaction rates.

Optionally, the inventory management device selects one or more raw material satisfaction rates from the multiple raw material satisfaction rates according to a first preset selection policy, including:

the inventory management device sorts the multiple raw material satisfaction rates from small to large to obtain the sorted multiple raw material satisfaction rates;

the inventory management device selects one or more raw material satisfaction rates from the sorted raw material satisfaction rates according to a first preset selection proportion and a selection sequence from front to back.

The first preset selection ratio may be preset, in other words, the professional may manually set the first preset selection ratio based on the historical measurement data, for example, the first preset selection ratio may be 20%.

It should be noted that, the above-mentioned is only one possible embodiment for selecting one or more raw material satisfaction rates for the inventory management device, and the inventory management device may also select one or more raw material satisfaction rates through other possible embodiments, which is not limited herein.

The magnitude of the incremental adjustment of the one or more raw material satisfaction rates may be preset, in other words, the practitioner may manually set the magnitude of the incremental adjustment of the one or more raw material satisfaction rates based on historical measurement data.

252. The inventory management device increases and adjusts one or more coefficients n corresponding to one or more raw material satisfaction rates one by one to obtain a plurality of adjusted coefficients n.

Similarly, the magnitude of the incremental adjustment of one or more coefficients n may be preset, in other words, the professional may manually set the magnitude of the incremental adjustment of one or more coefficients n based on the historical measurement data, for example, the magnitude of the incremental adjustment of one or more coefficients n may be 0.1; the magnitude of the incremental adjustment to one or more coefficients n may be the same or different.

253. The inventory management device obtains a plurality of current security inventory holding amounts according to the adjusted plurality of coefficients n.

254. The inventory management device judges whether the times of selecting one or more raw materials from the multiple raw material satisfaction rates according to a first preset selection strategy is greater than or equal to a first preset time;

if yes, the inventory management device proceeds to step 255.

If not, the inventory management device proceeds to step 256.

The first preset number may be preset, for example, the first preset number may be 10.

255. The inventory management device determines a plurality of current safety inventory holding rates as a plurality of safety inventory holding rates, the plurality of safety inventory holding rates corresponding to the plurality of current safety inventory holding rates one to one.

256. The inventory management device replaces the plurality of raw material satisfaction rates with the plurality of adjusted raw material satisfaction rates.

Exception information cancellation = max { (in-stock + in-transit order) -total demand forecast-tolerance parameter r x mean demand, 0} during the shelf life,

the tolerance parameter r can be preset, in other words, a professional can manually set the tolerance parameter r based on historical measurement data; the quantity of the cancellation quantity of the exception messages can be realized through a tolerance parameter r; the demand mean is the mean of the actual ex-warehouse demand of the past T weeks and the predicted demand of the future T weeks.

The initial exception information cancellation amount corresponding to a certain raw material satisfaction rate is the largest of [ (stock in stock + in transit order) - [ total demand forecast in the shelf life ] -initial tolerance parameter r + demand mean ] and 0.

Referring to fig. 2J, fig. 2J is a schematic flowchart illustrating that an inventory management device according to an embodiment of the present application performs multiple iterations on multiple initial exception cancellation amounts according to multiple raw material transfer rates to obtain multiple exception cancellation amounts, where the inventory management device performs multiple iterations on multiple initial exception cancellation amounts according to multiple raw material transfer rates to obtain multiple exception cancellation amounts, where the multiple exception cancellation amounts include steps 261 to 266, and the steps are as follows:

261. and the inventory management device selects one or more raw material turnover rates from the plurality of raw material turnover rates according to a second preset selection strategy, and reduces and adjusts the one or more raw material turnover rates to obtain a plurality of adjusted raw material turnover rates.

Optionally, the inventory management device selects one or more raw material turnover rates from the plurality of raw material turnover rates according to a second preset selection policy, including:

the inventory management device sorts the multiple raw material turnover rates from large to small to obtain a plurality of sorted raw material turnover rates;

and the inventory management device selects one or more raw material turnover rates from the sequenced raw material turnover rates according to a second preset selection proportion and a selection sequence from front to back.

The second preset selection ratio may be preset, in other words, the professional may manually set the second preset selection ratio based on the historical measurement data, for example, the second preset selection ratio may be 20%.

It should be noted that, the above-mentioned is only one possible embodiment of selecting one or more raw material turnover rates for the inventory management device, and the inventory management device may also select one or more raw material turnover rates through other possible embodiments, which is not limited herein.

The magnitude of the reduction adjustment of the one or more raw material turnover rates may be preset, in other words, the magnitude of the reduction adjustment of the one or more raw material turnover rates may be manually set by a professional based on historical measurement data.

262. The inventory management device reduces and adjusts one or more tolerance parameters r corresponding to one or more raw material turnover rates one by one to obtain a plurality of adjusted tolerance parameters r.

Similarly, the amplitude of the reduction adjustment of the one or more tolerance parameters r may be preset, in other words, the professional may manually set the amplitude of the reduction adjustment of the one or more tolerance parameters r based on the historical measurement data, for example, the amplitude of the reduction adjustment of the one or more tolerance parameters r may be 0.1; the magnitude of the decrementing adjustment to the one or more tolerance parameters r may be the same or different.

263. The inventory management device obtains a plurality of current exception information cancellation quantities according to the adjusted tolerance parameters r.

264. The inventory management device judges whether the times of selecting one or more raw material turnover rates from the multiple raw material turnover rates according to a second preset selection strategy is larger than or equal to a second preset time;

if yes, the inventory management device proceeds to step 265;

if not, the inventory management device proceeds to step 266.

The second preset number may be preset, for example, the second preset number may be 10.

265. The inventory management device determines a plurality of current exception information cancellation amounts as a plurality of exception information cancellation amounts.

266. The inventory management device replaces the adjusted raw material turnover rates with the raw material turnover rates.

As can be seen, in this example, the one or more initial inventory holds are iteratively optimized a plurality of times based on the one or more raw material satisfaction rates, resulting in one or more safety inventory holds; performing multiple iterative optimization on one or more initial exception information cancellation quantities based on one or more raw material turnover rates to obtain one or more exception information cancellation quantities, so as to obtain more accurate quantity of a plurality of raw materials needing to hold additional inventory and quantity of a plurality of raw materials needing to cancel purchase orders; and then outputting an inventory management list, wherein the inventory management list is used for managing the raw material inventory. Since the information of each raw material required to hold additional inventory and the information of each raw material required to cancel a purchase order are determined based on each supply and demand matching criterion in consideration of uncertainty of supply and demand, and thus the inventory manager can efficiently manage the inventory of raw materials based on the inventory management list, it is helpful to improve the efficiency of inventory management.

204. The inventory management device outputs an inventory management list, wherein the inventory management list comprises one or more safety inventory codes, one or more safety inventory holding amounts, one or more exception information codes and one or more exception information cancelling amounts, and the inventory management list is used for managing raw material inventory.

Referring to fig. 3, fig. 3 is another inventory management method according to an embodiment of the present application, where the inventory management method includes steps 301 to 311, which are as follows:

301. the inventory management device obtains inventory management data for calculating information on each raw material that needs to hold additional inventory and information on each raw material that needs to cancel a purchase order.

Step 301 is described with reference to step 201 above and will not be described here.

302. The inventory management device obtains one or more safety inventory codes and one or more exception information codes according to the inventory management data, wherein the safety inventory codes are codes of raw materials needing to hold additional inventory, and the exception information codes are codes of the raw materials needing to cancel the purchase order.

Step 302 is described above with reference to step 202 and will not be described here.

303. The inventory management device inputs the inventory management data, one or more safety inventory codes and one or more exception information codes into a pre-stored inventory updating simulator for processing, and outputs one or more raw material satisfaction rates and one or more raw material turnover rates, wherein the one or more raw material satisfaction rates are in one-to-one correspondence with the one or more safety inventory codes, and the one or more raw material turnover rates are in one-to-one correspondence with the one or more exception information codes.

Step 303 is described with reference to steps 231-235, and will not be described further herein.

304. The inventory management device inputs the inventory management data, the one or more raw material satisfaction rates, and the one or more raw material turnover rates into a pre-stored policy quantity update iterator.

305. The inventory management device obtains one or more initial safety inventory holding quantities according to the inventory management data, and the one or more initial safety inventory holding quantities are in one-to-one correspondence with one or more raw material satisfaction rates.

Step 305 is described in relation to step 203 and will not be described further herein.

306. The inventory management device iteratively optimizes one or more initial inventory quantities a plurality of times based on one or more raw material satisfaction rates to obtain one or more safety inventory quantities.

Step 306 is described above with reference to steps 251-256 and will not be described further herein.

307. The inventory management device obtains one or more initial exception information cancellation amounts according to the inventory management data, and the one or more initial exception information cancellation amounts are in one-to-one correspondence with one or more raw material turnover rates.

Step 307 is described in relation to step 203 and will not be described further herein.

308. And the inventory management device carries out multiple iterative optimization on one or more initial exception information cancellation quantities according to one or more raw material turnover rates to obtain one or more exception information cancellation quantities.

Step 308 is described above with reference to steps 261-266 and will not be described further herein.

309. The inventory management device outputs an inventory management list, wherein the inventory management list comprises one or more safety inventory codes, one or more safety inventory holding quantities, one or more exception information codes and one or more exception information cancelling quantities, and the inventory management list is used for managing the raw material warehouse.

310. The inventory management device obtains a current coefficient n and a current tolerance parameter r.

311. And the inventory management device performs parameter optimization on the strategy quantity updating iterator according to the current coefficient n and the current tolerance parameter r.

Optionally, the performing, by the inventory management device, parameter optimization on the policy updating iterator according to the current coefficient n and the current tolerance parameter r includes:

the inventory management device replaces the strategy quantity with the current coefficient n to update the initial coefficient n in the iterator;

the inventory management device updates the initial tolerance parameter r in the iterator with the current tolerance parameter r instead of the policy.

It can be seen that, compared to performing inventory management by considering uncertainty of supply alone or uncertainty of demand alone, in the embodiment of the present application, first, a number of codes of raw materials that need to hold additional inventory and a number of codes of raw materials that need to cancel purchase orders are obtained based on inventory management data, then, a number of raw materials that need to hold additional inventory and a number of raw materials that need to cancel purchase orders are obtained based on inventory management data, and finally, an inventory management list is output, and the inventory management list is used for managing raw material inventory. Because the information of the raw materials needing to hold additional inventory and the information of the raw materials needing to cancel the purchase order are determined by adopting the uniform supply and demand matching standard for each raw material in consideration of the uncertainty of supply and demand, and then the inventory management personnel can efficiently manage the inventory of the raw materials based on the inventory management list, the inventory management efficiency is improved. In addition, parameter optimization is carried out on the strategy quantity updating iterator based on the current coefficient n and the current tolerance parameter r, so that the subsequent strategy quantity updating iterator is facilitated to output the quantity of a plurality of raw materials needing to hold extra inventory and the quantity of a plurality of raw materials needing to cancel purchase orders more quickly.

Referring to fig. 4, fig. 4 is a block diagram of functional units of an inventory management device according to an embodiment of the present application, where the inventory management device 400 includes an obtaining unit 410 and an output unit 420, where:

an obtaining unit 410, configured to obtain inventory management data, where the inventory management data is used to calculate information of each raw material that needs to hold additional inventory and information of each raw material that needs to cancel a purchase order;

the obtaining unit 410 is further configured to obtain one or more safety inventory codes and one or more exception information codes according to the inventory management data, where the safety inventory codes are codes of raw materials that need to hold additional inventory, and the exception information codes are codes of raw materials that need to cancel the purchase order;

an obtaining unit 410, further configured to obtain one or more safety inventory holding quantities and one or more exception information cancelling quantities according to the inventory management data, where the safety inventory holding quantities are quantities of raw materials that need to hold additional inventory, and the exception information cancelling quantities are quantities of raw materials that need to cancel a purchase order, the one or more safety inventory holding quantities correspond to the one or more safety inventory codes one to one, and the one or more exception information cancelling quantities correspond to the one or more exception information codes one to one;

the output unit 420 is configured to output an inventory management list, where the inventory management list includes one or more security inventory codes, one or more security inventory holding amounts, one or more exception information codes, and one or more exception information cancellation amounts, and the inventory management list is used to manage raw material inventory.

It can be seen that, compared to performing inventory management by considering uncertainty of supply alone or uncertainty of demand alone, in the embodiment of the present application, firstly, codes of a plurality of raw materials that need to hold additional inventory and codes of a plurality of raw materials that need to cancel purchase order are obtained based on inventory management data, then, quantities of a plurality of raw materials that need to hold additional inventory and quantities of a plurality of raw materials that need to cancel purchase order are obtained based on inventory management data, and finally, an inventory management list is output, and the inventory management list is used for managing raw material inventory. The method and the system have the advantages that the uncertainty of supply and demand is considered, the information of the raw materials needing to hold extra inventory and the information of the raw materials needing to cancel the purchase order are determined by adopting the uniform supply and demand matching standard for each raw material, and then the inventory management personnel can efficiently manage the raw material inventory based on the inventory management list, so that the method and the system are beneficial to improving the efficiency of inventory management.

In some possible embodiments, in obtaining one or more safety inventory codes and one or more exception information codes according to the inventory management data, the obtaining unit 410 is specifically configured to:

obtaining a supply and demand matching factor starvation risk threshold and a supply and demand matching factor redundancy risk threshold corresponding to each raw material code in the plurality of raw material codes according to the inventory management data;

It can be seen that, in this example, first, a plurality of supply and demand matching factor predicted values are obtained based on inventory management data and a supervised learning model, then, a supply and demand matching factor material shortage risk threshold and a supply and demand matching factor redundancy risk threshold corresponding to each raw material code are obtained based on inventory management data, finally, a number of codes of raw materials that need to hold additional inventory and a number of codes of raw materials that need to cancel purchase orders are selected from the plurality of raw material codes respectively, and then, a number of raw materials that need to hold additional inventory and a number of raw materials that need to cancel purchase orders are obtained based on inventory management data, and an inventory management list is output, and the inventory management list is used for managing raw material inventory. Thus, different supply and demand matching standards are set for different raw materials. In addition, in consideration of uncertainty of supply and demand, information of each raw material needing to hold extra inventory and information of each raw material needing to cancel purchase orders are determined based on each supply and demand matching standard, and then inventory management personnel can efficiently manage raw material inventory based on inventory management lists, so that the inventory management efficiency is improved.

In some possible embodiments, in obtaining a plurality of supply and demand matching factor predicted values according to the inventory management data and the pre-stored supervised learning model, the obtaining unit 410 is specifically configured to:

In some possible embodiments, in obtaining the supply and demand matching factor starved risk threshold and the supply and demand matching factor redundant risk threshold corresponding to each raw material code of the plurality of raw material codes according to the inventory management data, the obtaining unit 410 is specifically configured to:

the method comprises the steps that a plurality of raw material characteristic sets included by inventory management data are obtained, the raw material characteristic sets correspond to a plurality of raw material codes one by one, and the raw material characteristic sets include money, a purchasing mode, a product line, material types, supply attributes and a shelf life;

In some possible embodiments, in obtaining one or more security inventory holding quantities and one or more exception information cancellation quantities according to the inventory management data, the obtaining unit 410 is specifically configured to:

In some possible embodiments, the obtaining unit 410 is specifically configured to, in inputting the inventory management data, the one or more safety inventory codes and the one or more exception information codes into a pre-stored inventory update simulator for processing, and outputting one or more raw material satisfaction rates and one or more raw material turnover rates:

inputting the inventory management data, one or more safety inventory codes and one or more exception information codes into a pre-stored inventory update simulator;

In some possible embodiments, the obtaining unit 410 is specifically configured to, in inputting the inventory management data, the one or more raw material satisfaction rates, and the one or more raw material turnover rates into a pre-stored policy quantity update iterator for processing, and outputting the one or more safety inventory holding quantities and the one or more exception information cancellation quantities:

performing multiple iterative optimizations on one or more initial inventory holds according to one or more raw material satisfaction rates to obtain one or more safety inventory holds;

Referring to fig. 5, fig. 5 is a schematic structural diagram of an inventory management device 500 according to an embodiment of the present disclosure, where the inventory management device 500 includes a memory 510, a communication interface 520, and a processor 530, which are coupled to each other; such as memory 510, communication interface 520, and processor 530, are coupled by bus 540.

The Memory 510 may include, but is not limited to, a Random Access Memory (RAM), an Erasable Programmable Read Only Memory (EPROM), a Read-Only Memory (ROM), or a portable Read-Only Memory (CD-ROM), and the like, and the Memory 510 is used for related instructions and data.

The processor 530 may be one or more Central Processing Units (CPUs), and in the case that the processor 530 is one CPU, the CPU may be a single-core CPU or a multi-core CPU.

The processor 530 is configured to read the program code stored in the memory 510 and cooperate with the communication interface 520 to perform some or all of the steps of the method performed by the inventory management device 500 in the above-described embodiments of the present application.

A communication interface 520 for obtaining inventory management data for calculating information of each raw material that needs to hold additional inventory and information of each raw material that needs to cancel a purchase order;

a processor 530 for obtaining one or more safety stock codes and one or more exception information codes according to the stock management data, wherein the safety stock codes are codes of raw materials needing to hold extra stock, and the exception information codes are codes of raw materials needing to cancel the purchase order;

processor 530, further configured to obtain one or more safety stock holding amounts and one or more exception information cancellation amounts according to the stock management data, where the safety stock holding amount is a number of raw materials that need to hold additional stock, and the exception information cancellation amount is a number of raw materials that need to cancel a purchase order, the one or more safety stock holding amounts correspond to the one or more safety stock codes one to one, and the one or more exception information cancellation amounts correspond to the one or more exception information codes one to one;

the processor 530 is further configured to output an inventory management list, where the inventory management list includes one or more security inventory codes, one or more security inventory holding amounts, one or more exception information codes, and one or more exception information cancellation amounts, and the inventory management list is used for managing raw material inventory.

In some possible embodiments, in obtaining the one or more safety inventory codes and the one or more exception information codes from the inventory management data, the processor 530 is specifically configured to:

and selecting one or more exceptional information codes of which the supply and demand matching factor predicted values are larger than the corresponding supply and demand matching factor redundancy risk threshold values from the raw material codes.

As can be seen, in this example, first, a plurality of supply and demand matching factor predicted values are obtained based on the inventory management data and the supervised learning model, then, a supply and demand matching factor starved risk threshold value and a supply and demand matching factor redundant risk threshold value corresponding to each raw material code are obtained based on the inventory management data, finally, a number of codes of raw materials that need to hold additional inventory and a number of codes of raw materials that need to cancel purchase orders are selected from the plurality of raw material codes respectively, and then, a number of raw materials that need to hold additional inventory and a number of raw materials that need to cancel purchase orders are obtained based on the inventory management data, and an inventory management list is output, wherein the inventory management list is used for managing raw material inventory. Thus, different supply and demand matching standards are set for different raw materials. In addition, in consideration of uncertainty of supply and demand, information of each raw material needing to hold extra inventory and information of each raw material needing to cancel purchase orders are determined based on each supply and demand matching standard, and then inventory management personnel can efficiently manage raw material inventory based on inventory management lists, so that the inventory management efficiency is improved.

In some possible embodiments, in obtaining a plurality of supply and demand matching factor prediction values according to the inventory management data and the pre-stored supervised learning model, the processor 530 is specifically configured to:

As can be seen, in this example, the supply and demand matching factor predicted values are determined based on the raw material feature sets and the supervised learning model, the supply and demand matching factor starved risk threshold value and the supply and demand matching factor redundant risk threshold value corresponding to each raw material code are obtained based on the inventory management data, codes of a plurality of raw materials needing to hold additional inventory and codes of a plurality of raw materials needing to cancel purchase orders are respectively selected from the raw material codes, the number of the raw materials needing to hold additional inventory and the number of the raw materials needing to cancel purchase orders are obtained based on the inventory management data, and an inventory management list is output, and is used for managing raw material inventory. The supply and demand matching factor predicted value corresponding to the raw material is jointly predicted based on a plurality of characteristics of the raw material, so that the accuracy of the supply and demand matching factor predicted value is improved. In addition, different supply and demand matching standards are formulated for different raw materials, uncertainty of supply and demand is considered, information of each raw material needing to hold additional inventory and information of each raw material needing to cancel a purchase order are determined based on each supply and demand matching standard, and then inventory management personnel can efficiently manage the raw material inventory based on an inventory management list, so that the inventory management efficiency is improved.

In some possible embodiments, in obtaining the supply and demand matching factor starved risk threshold and the supply and demand matching factor redundant risk threshold corresponding to each raw material code of the plurality of raw material codes according to the inventory management data, the processor 530 is specifically configured to:

obtaining one or more supply and demand matching factor value sets in one-to-one correspondence with one or more raw material code sets, wherein the supply and demand matching factor value sets comprise all supply and demand matching factor values of the corresponding raw material code sets in a preset time period;

In some possible embodiments, in obtaining one or more security inventory holding quantities and one or more exception information cancellation quantities based on the inventory management data, the processor 530 is specifically configured to:

In some possible embodiments, the processor 530 is specifically configured to, in inputting the inventory management data, the one or more safety inventory codes, and the one or more exception information codes into a pre-stored inventory update simulator for processing, and outputting one or more raw material satisfaction rates and one or more raw material turnover rates:

In some possible embodiments, the processor 530 is specifically configured to, in entering the inventory management data, the one or more raw material satisfaction rates, and the one or more raw material turnover rates into a pre-stored policy quantity update iterator for processing, and outputting the one or more security inventory holding quantities and the one or more exception information cancellation quantities:

and performing multiple iterative optimization on the one or more initial exception information cancellation quantities according to the one or more raw material turnover rates to obtain one or more exception information cancellation quantities.

Embodiments of the present application also provide a computer-readable storage medium storing computer instructions, where the computer program is executed by hardware (for example, a processor, etc.) to implement part or all of the steps of any one of the methods performed by the inventory management device in the embodiments of the present application.

Embodiments of the present application also provide a computer program product, which when run on a computer or a processor, causes the computer or the processor to perform some or all of the steps of the inventory management method of the above aspects.

Referring to fig. 6, fig. 6 is a schematic structural diagram of a chip system according to an embodiment of the present disclosure, where the chip system 600 may include: a processor 610, and one or more interfaces 620 coupled to the processor 610. The following are exemplary:

the processor 610 may be configured to read and execute computer readable instructions. In particular implementations, processor 610 may include primarily a controller, an operator, and registers. Illustratively, the controller is mainly responsible for instruction decoding and sending out control signals for operations corresponding to the instructions. The arithmetic unit is mainly responsible for executing fixed-point or floating-point arithmetic operation, shift operation, logic operation and the like, and can also execute address operation and conversion. The register is mainly responsible for storing register operands, intermediate operation results and the like temporarily stored in the instruction execution process. In a specific implementation, the hardware architecture of the processor 610 may be an Application Specific Integrated Circuits (ASIC) architecture, a microprocessor without interlocked pipeline stage architecture (MIPS) architecture, an Advanced RISC Machines (ARM) architecture, or an NP architecture. The processors 610 may be single core or multicore.

Illustratively, the interface 620 may be used to input data to be processed to the processor 610 and may output a processing result of the processor 610 outward. In a specific implementation, the interface 620 may be a general purpose input/output (GPIO) interface, and may be connected to a plurality of peripheral devices (e.g., a display (LCD), a camera (camara), a Radio Frequency (RF) module, and the like). The interface 620 is coupled to the processor 610 by a bus 630.

In some possible embodiments, the processor 610 may be configured to call, from the memory, an implementation program or data of the inventory management method provided in one or more embodiments of the present application on the network device or the terminal device side, so that the chip may implement the inventory management method shown in fig. 2A and fig. 3. The memory may be integrated with the processor 610 or may be coupled to the system-on-chip 600 via the interface 620, i.e., the memory may be a part of the system-on-chip 600 or may be separate from the system-on-chip 600. The interface 620 may be used to output the results of the execution by the processor 610. In this application, the interface 620 may be specifically configured to output the decoding result of the processor 610. Reference may be made to the foregoing embodiments for an inventory management method provided in connection with one or more embodiments of the present application, which are not repeated herein.

In the above-described embodiments, all or part of the functions may be implemented by software, hardware, or a combination of software and hardware. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. The procedures or functions according to the embodiments of the present application are all or partially generated when the computer program instructions are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a magnetic tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a Solid State Disk (SSD)), among others.

One of ordinary skill in the art will appreciate that all or part of the processes in the methods of the above embodiments may be implemented by hardware related to instructions of a computer program, which may be stored in a computer-readable storage medium, and when executed, may include the processes of the above method embodiments. And the aforementioned storage medium includes: various media capable of storing program codes, such as ROM or RAM, magnetic or optical disks, etc.

Claims

1. An inventory management method, comprising:

obtaining inventory management data, wherein the inventory management data is used for calculating information of each raw material needing to hold extra inventory and information of each raw material needing to cancel a purchase order;

obtaining one or more safety stock codes and one or more exception information codes according to the stock management data, wherein the safety stock codes are codes of raw materials needing to hold additional stock, and the exception information codes are codes of raw materials needing to cancel a purchase order;

obtaining one or more safety inventory holding quantities and one or more exception information canceling quantities according to the inventory management data, wherein the safety inventory holding quantities are the quantity of raw materials needing to hold additional inventory, the exception information canceling quantities are the quantity of the raw materials needing to cancel purchase orders, the one or more safety inventory holding quantities correspond to the one or more safety inventory codes in a one-to-one mode, and the one or more exception information canceling quantities correspond to the one or more exception information codes in a one-to-one mode;

outputting an inventory management manifest comprising the one or more safety inventory codes, the one or more safety inventory holding quantities, the one or more exception information codes, and the one or more exception information cancellation quantities, the inventory management manifest being for managing raw material inventory.

2. The method of claim 1, wherein obtaining one or more safety inventory codes and one or more exception information codes from the inventory management data comprises:

obtaining a plurality of supply and demand matching factor predicted values according to the inventory management data and a pre-stored supervised learning model, wherein the plurality of supply and demand matching factor predicted values correspond to a plurality of raw material codes one to one;

3. The method of claim 2, wherein obtaining a plurality of supply-demand matching factor predictors from the inventory management data and a pre-stored supervised learning model comprises:

acquiring a plurality of raw material characteristic sets included in the inventory management data, wherein the raw material characteristic sets correspond to the raw material codes one by one, and the raw material characteristic sets include a shelf period, a supply attribute, a material value, a special degree, a replenishment progress, an on-road order, an in-store inventory, a historical demand, a coded portrait and a defective grade;

and inputting the raw material feature sets into a pre-stored supervised learning model for processing, and outputting a plurality of supply and demand matching factor predicted values.

4. The method of claim 3, wherein obtaining a supply and demand matching factor starvation risk threshold and a supply and demand matching factor redundancy risk threshold for each of the plurality of raw material codes from the inventory management data comprises:

acquiring a plurality of raw material characteristic sets included in the inventory management data, wherein the raw material characteristic sets correspond to the raw material codes one by one, and each raw material characteristic set comprises money, a purchasing mode, a product line, material types, supply attributes and a delivery date;

obtaining one or more supply and demand matching factor value sets which are in one-to-one correspondence with the one or more raw material coding sets, wherein the supply and demand matching factor value sets comprise all supply and demand matching factor values of the corresponding raw material coding sets in a preset time period;

determining a first preset quantile point of each supply and demand matching factor value set as a supply and demand matching factor material shortage risk threshold value corresponding to a target raw material coding set, and determining a second preset quantile point of each supply and demand matching factor value set as a supply and demand matching factor redundancy risk threshold value corresponding to the target raw material coding set, wherein the target raw material coding set is a raw material coding set corresponding to each supply and demand matching factor value set.

5. The method according to any one of claims 1-4, wherein said obtaining one or more security inventory holding quantities and one or more exception information cancellation quantities from said inventory management data comprises:

inputting the inventory management data, the one or more safety inventory codes and the one or more exception information codes into a pre-stored inventory updating simulator for processing, and outputting one or more raw material satisfaction rates and one or more raw material turnover rates, wherein the one or more raw material satisfaction rates are in one-to-one correspondence with the one or more safety inventory codes, and the one or more raw material turnover rates are in one-to-one correspondence with the one or more exception information codes;

6. The method of claim 5, wherein said inputting said inventory management data, said one or more safety inventory codes, and said one or more exception information codes into a pre-stored inventory update simulator for processing and outputting one or more raw material fulfillment rates and one or more raw material turnover rates comprises:

inputting the inventory management data, the one or more safety inventory codes, and the one or more exception information codes into a pre-stored inventory update simulator;

obtaining a current supply and demand matching factor value corresponding to each safety stock code in the one or more safety stock codes according to the stock management data;

obtaining the current inventory amount and the current ex-warehouse amount corresponding to each exception information code in the one or more exception information codes according to the inventory management data;

7. The method of claim 6, wherein inputting the inventory management data, the one or more raw material satisfaction rates, and the one or more raw material turnover rates into a pre-stored policy volume update iterator for processing and outputting one or more security inventory holding volumes and one or more exception information cancellation volumes comprises:

inputting the inventory management data, the one or more raw material fulfillment rates, and the one or more raw material turnover rates into a pre-stored policy quantity update iterator;

obtaining one or more initial safety stock holding quantities according to the stock management data, wherein the one or more initial safety stock holding quantities correspond to the one or more raw material satisfaction rates in a one-to-one mode;

performing multiple iterative optimizations on the one or more initial inventory holding quantities according to the one or more raw material satisfaction rates to obtain one or more safety inventory holding quantities;

obtaining one or more initial exception information cancellation amounts according to the inventory management data, wherein the one or more initial exception information cancellation amounts are in one-to-one correspondence with the one or more raw material turnover rates;

8. An inventory management device, comprising:

the obtaining unit is further configured to obtain one or more safety stock codes and one or more exception information codes according to the stock management data, where the safety stock codes are codes of raw materials that need to hold extra stock, and the exception information codes are codes of raw materials that need to cancel a purchase order;

the obtaining unit is further configured to obtain one or more safety inventory holding amounts and one or more exception information cancelling amounts according to the inventory management data, where the safety inventory holding amount is a number of raw materials that need to hold an additional inventory, the exception information cancelling amount is a number of raw materials that need to cancel a purchase order, the one or more safety inventory holding amounts correspond to the one or more safety inventory codes one to one, and the one or more exception information cancelling amounts correspond to the one or more exception information codes one to one;

an output unit, configured to output an inventory management list, where the inventory management list includes the one or more security inventory codes, the one or more security inventory holding amounts, the one or more exception information codes, and the one or more exception information cancellation amounts, and the inventory management list is used to manage raw material inventory.

9. The apparatus according to claim 8, wherein, in obtaining one or more safety stock codes and one or more exception information codes from the stock management data, the obtaining unit is specifically configured to:

obtaining a supply and demand matching factor material shortage risk threshold value and a supply and demand matching factor redundancy risk threshold value corresponding to each raw material code in the plurality of raw material codes according to the inventory management data;

10. The apparatus according to claim 9, wherein, in obtaining a plurality of supply-demand matching factor predicted values according to the inventory management data and a pre-stored supervised learning model, the obtaining unit is specifically configured to:

acquiring a plurality of raw material characteristic sets included in the inventory management data, wherein the raw material characteristic sets correspond to the raw material codes one by one, and the raw material characteristic sets include a shelf life, a supply attribute, a material value, a special degree, a replenishment progress, an in-transit order, an in-inventory, a historical demand, a code portrait and a shortage grade;

11. The apparatus according to claim 10, wherein in obtaining the supply and demand matching factor starvation risk threshold and the supply and demand matching factor redundancy risk threshold corresponding to each of the plurality of raw material codes according to the inventory management data, the obtaining unit is specifically configured to:

acquiring a plurality of raw material characteristic sets included in the inventory management data, wherein the raw material characteristic sets correspond to the raw material codes one by one, and the raw material characteristic sets include money, a purchasing mode, a product line, material types, supply attributes and a shelf life;

determining a first preset quantile point of each supply and demand matching factor value set as a supply and demand matching factor material shortage risk threshold corresponding to a target raw material code set, and determining a second preset quantile point of each supply and demand matching factor value set as a supply and demand matching factor redundancy risk threshold corresponding to the target raw material code set, wherein the target raw material code set is a raw material code set corresponding to each supply and demand matching factor value set.

12. The apparatus according to any one of claims 8 to 11, wherein, in obtaining one or more security inventory holding quantities and one or more exception information cancellation quantities from the inventory management data, the obtaining unit is specifically configured to:

13. The apparatus according to claim 12, wherein the obtaining unit is specifically configured to, in inputting the inventory management data, the one or more safety inventory codes, and the one or more exception information codes into a pre-stored inventory update simulator for processing, and outputting one or more raw material satisfaction rates and one or more raw material turnover rates:

14. The apparatus according to claim 13, wherein the obtaining unit is specifically configured to, in inputting the inventory management data, the one or more raw material satisfaction rates, and the one or more raw material turnover rates into a prestored policy quantity update iterator for processing, and outputting one or more security inventory holding quantities and one or more exception information cancellation quantities:

15. An inventory management device, the device comprising a processor, a communication interface, and a memory coupled to one another, wherein:

the processor is used for obtaining one or more safety stock codes and one or more exception information codes according to the stock management data, wherein the safety stock codes are codes of raw materials needing to hold extra stock, and the exception information codes are codes of raw materials needing to cancel purchase orders;

the processor is further configured to obtain one or more safety inventory holding quantities and one or more exception information cancelling quantities according to the inventory management data, where the safety inventory holding quantities are quantities of raw materials that need to hold additional inventory, the exception information cancelling quantities are quantities of raw materials that need to cancel a purchase order, the one or more safety inventory holding quantities correspond to the one or more safety inventory codes in a one-to-one manner, and the one or more exception information cancelling quantities correspond to the one or more exception information codes in a one-to-one manner;

the processor is further configured to output an inventory management list, the inventory management list including the one or more security inventory codes, the one or more security inventory holding quantities, the one or more exception information codes, and the one or more exception information cancellation quantities, the inventory management list being configured to manage raw material inventory.

16. A computer-readable storage medium, characterized in that a computer program is stored, which computer program is executed by hardware to implement the method performed by an inventory management device according to any one of claims 1 to 7.

17. A chip system, characterized in that the chip system comprises a processor for supporting an inventory management device to implement the method of any of claims 1 to 7.