CN116777377B

CN116777377B - Enterprise management office platform system based on cloud ERP management

Info

Publication number: CN116777377B
Application number: CN202310748914.5A
Authority: CN
Inventors: 王建明
Original assignee: Shenzhen Nuofei Technology Development Co ltd
Current assignee: Shenzhen Nuofei Technology Development Co ltd
Priority date: 2023-06-25
Filing date: 2023-06-25
Publication date: 2024-09-13
Anticipated expiration: 2043-06-25
Also published as: CN116777377A

Abstract

The invention discloses an enterprise management office platform system based on cloud ERP management, and particularly relates to the technical field of enterprise office management, wherein office consumable usage parameters and purchasing parameters are collected, and a critical degree coefficient is obtained according to the usage parameters and the purchasing parameters, so that the emergency degree of the office consumable is more accurately evaluated, and whether an early warning signal is generated or not is determined according to the magnitude of the critical degree coefficient; in addition, the key degree coefficient is obtained by collecting the achievement dependency degree occupation ratio and the substitute feasibility index of the office supplies which have been triggered for early warning, and the importance and the substitutability of the office supplies in the enterprise operation process are evaluated more accurately, so that the influence degree of the office supplies on the business process is measured more comprehensively, and finally, the priority value is obtained by combining the first ranking value obtained by the key degree coefficient and the second ranking value obtained by the key degree coefficient, so that priorities can be allocated for purchasing and supplementing different office supplies, the decision making process is simplified, and the subjectivity and uncertainty of decision making are reduced.

Description

Enterprise management office platform system based on cloud ERP management

Technical Field

The invention relates to the technical field of enterprise office management, in particular to an enterprise management office platform system based on cloud ERP management.

Background

Cloud ERP (cloud enterprise resource planning) refers to a management solution for deploying an enterprise's resource planning system at the cloud, a traditional ERP system is usually deployed and maintained inside an enterprise, while cloud ERP deploys the system on a cloud server and accesses and uses the system through the Internet, and the cloud ERP can help the enterprise to manage production, inventory, sales, employee information, employee rights, workflow, instant messages, equipment, files and the like, so that the coordination and communication efficiency between the interiors of the enterprise is greatly improved, and the cloud ERP provides a more flexible, accessible and safe resource planning solution for the enterprise. The method helps enterprises to realize more efficient operation management, optimize business processes and provide real-time data analysis and decision support.

However, in the aspect of office consumable management in enterprises, the conventional system generally triggers early warning based on the consumption speed and the residual quantity of office consumable materials to prompt purchasing personnel to perform supplementary purchasing. However, in practical situations, the purchase is usually performed at a fixed period, and the importance of different office materials to the enterprise is not the same. This results in the purchasing personnel being able to schedule only in the chronological order of the early warning prompts without fully considering the importance of different consumables to the enterprise.

This situation can lead to important office supplies being ignored or delayed in purchasing, which can present a certain hassle and risk to the enterprise. Important office supplies, although not consumed very fast or with a relatively high residual content, can have a significant impact on the normal operation of the enterprise in the event of a loss. However, the traditional management system only depends on the consumption speed and the residual quantity to trigger early warning, and the importance degree of different consumables cannot be accurately evaluated and distinguished, so that purchasing personnel cannot make corresponding priority arrangement, subjectivity and uncertainty of decision are increased, decision errors are easy to occur, important office consumables cannot be timely supplemented, and efficiency of enterprises in operation is reduced.

In order to solve the above problems, a technical solution is now provided.

Disclosure of Invention

In order to overcome the above-mentioned drawbacks of the prior art, an embodiment of the present invention provides an enterprise management office platform system based on cloud ERP management to solve the problems set forth in the above-mentioned background art.

In order to achieve the above purpose, the present invention provides the following technical solutions:

An enterprise management office platform system based on cloud ERP management comprises a consumable statistics module, a consumption early warning module, an important analysis module and a comprehensive analysis module, wherein the modules are connected through signals;

The consumable statistics module is used for counting various office consumables required by enterprise operation, collecting using parameters and purchasing parameters related to the office consumables, obtaining inventory tension coefficients according to the using parameters and the purchasing parameters, and generating a trigger signal to be sent to the consumption early warning module;

The consumption early warning module judges according to the inventory tension degree coefficient, and if the inventory tension degree coefficient is smaller than 1, no signal is generated; if the inventory tension degree coefficient is greater than or equal to 1, generating an early warning signal, sorting all office supplies according to the inventory tension degree coefficient from large to small, generating a sorting value I according to the inventory tension degree coefficient, and generating a sorting signal I to be sent to an important analysis module;

The important analysis module collects demand parameters and key parameters of office supplies, obtains a key degree coefficient according to the weighted summation of the demand parameters and the key parameters, generates a sorting value II according to the key degree coefficient, generates a sorting signal II and sends the sorting signal II to the comprehensive analysis module;

The comprehensive analysis module obtains a priority processing value by weighting and summing the sorting value I and the sorting value II according to the sorting value I and the sorting value II, and preferentially processes the office consumable inventory problem which is pre-warned according to the priority value.

In a preferred embodiment, the specific operation process of the consumable statistics module comprises:

Counting office consumables required by the operation of an enterprise in daily use, and collecting use parameters and purchase parameters of the office consumables, wherein the use parameters comprise residual office consumables and consumption rate of the office consumables; the purchase parameters comprise office consumable purchase average period;

the residual office consumable allowance, office consumable consumption rate and office consumable purchasing average period are calculated to obtain an inventory tension degree coefficient, and the method comprises the following specific calculation steps:

Step one, calculating office consumable consumption rate, which is obtained by dividing the number of consumable materials used in a past period by the number of days in the period;

Calculating an average office consumable purchase period, namely counting the period of supplying office consumables by all suppliers of the same office consumable from the beginning of purchasing to the receiving of goods, removing the maximum value and the minimum value of the period, and calculating the period of supplying office consumables by the average supplier, namely the average office consumable purchase period;

and thirdly, calculating the available stock time of office consumables, namely dividing the residual office consumable quantity by the consumption rate of the office consumables.

In a preferred embodiment, the consumption early-warning module specifically operates as follows:

According to the office consumable purchase average period and the office consumable available inventory time, calculating an inventory tension degree coefficient, and dividing the office consumable purchase average period by the office consumable available inventory time to obtain the inventory tension degree coefficient; if the inventory tension degree coefficient is smaller than 1, no signal is generated; if the inventory tension degree coefficient is greater than or equal to 1, generating an early warning signal, sorting all office supplies according to the inventory tension degree coefficient from large to small, and generating a sorting value I according to the inventory tension degree coefficient.

In a preferred embodiment, the critical analysis module specifically operates as follows:

for office consumables with early warning signals, acquiring demand parameters and key parameters of the office consumables;

the demand parameters include the achievement of a degree of dependence ratio;

key parameters include surrogate feasibility index.

In a preferred embodiment, the acquisition logic to achieve the dependency ratio is:

step one, calculating the net monthly consumption: net monthly consumption = monthly usage-monthly purchases;

calculating the inventory change amount: inventory change = present month end inventory-last month end inventory;

Calculating a dependency index: dependency index= (net monthly consumption + inventory change)/monthly usage, these parameters can be obtained by a column query of inventory management of cloud ERP;

setting a dependency degree index threshold, comparing the monthly degree index with the dependency degree index threshold respectively, counting the number of the dependency degree indexes which are larger than or equal to the dependency degree index threshold, and dividing the number of the dependency degree indexes by the total number of months to obtain the up-to-dependency degree ratio.

In a preferred embodiment, the acquisition logic of the surrogate feasibility index is:

Step one, listing all functions of office consumables;

Step two, performing function listing on other office consumables, and collecting the function parameters of each office consumable, wherein the function parameters can be obtained by inquiring the function attributes of the office consumables registered on the cloud ERP in a column;

Step three, according to the collected functional parameters, calculating the functional overlapping index of the office consumable, wherein the calculation formula is as follows:

for each function, checking a function list of other office supplies, and judging whether the same function exists;

counting the number of functions with overlapping;

calculating a functional overlap index using the following formula: function overlap index= (number of functions with overlap)/total number of functions, function overlap index is;

Obtaining a key degree coefficient by weighting and summing the proportion of the reached degree of dependence and the feasibility index of the substitute;

And ordering office supplies with early warning signals according to the key degree coefficient from large to small, and generating an ordering value II according to the key degree coefficient.

The enterprise management office platform system based on cloud ERP management has the technical effects and advantages that:

The office supplies are collected to obtain the inventory tension degree coefficient according to the use parameter and the purchase parameter, so that the emergency degree of the office supplies is evaluated more accurately, whether an early warning signal is generated or not is determined according to the tension degree coefficient, the purchasing personnel or related responsible persons can be conveniently and rapidly informed of the emergency situation of the office supplies, timely purchase and replenishment of the office supplies are facilitated, and unnecessary delay or influence on daily office activities of enterprises due to consumable loss is avoided; in addition, the key degree coefficient is obtained by collecting the achievement dependency degree occupation ratio of the office supplies which have been triggered to early-warn and the substitute feasibility index, so that the importance and the substitutability of the office supplies in the enterprise operation process are evaluated more accurately, the influence degree of the office supplies on the business process is measured more comprehensively, the priority value is finally obtained by combining the first sorting value obtained by the inventory tension degree coefficient and the second sorting value obtained by the key degree coefficient, the priority can be allocated for purchasing and supplementing different office supplies, the decision making process is simplified, the subjectivity and the uncertainty of the decision are reduced, the allocation of resources is facilitated to be optimized, the resource waste and the business interruption are avoided, and the operation efficiency and the production efficiency of the enterprise are improved.

Drawings

Fig. 1 is a schematic structural diagram of an enterprise management office platform system based on cloud ERP management.

Detailed Description

The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

Example 1

FIG. 1 shows an enterprise management office platform system based on cloud ERP management, which comprises a consumable statistics module, a consumption early warning module, an important analysis module and a comprehensive analysis module, wherein the modules are connected through signals;

The specific operation process of the consumable statistics module comprises the following steps:

Step one, the office consumable consumption rate is calculated by dividing the number of consumables used in a past period of time by the number of days of the period of time. For example, if 100 sets of keyboard and mouse packages were used in the past 30 days, the consumption rate would be 100/30=3.33 sets/day;

Calculating the average purchasing period of office consumables, namely counting the period of office consumables supplied by all suppliers of the same office consumable from the beginning of purchasing to the receiving of goods, removing the maximum value and the minimum value of the period, and calculating the period of office consumables supplied by the average suppliers, namely the average purchasing period of office consumables. This is determined based on the delivery time of the supplier and the processing time in the purchasing process. For example, we collected cycle data (in days) for the following suppliers of office consumables a: [10,8,15,9,12,7,14]. The maximum value is 15, and the minimum value is 7. The dataset after we have removed these two extrema is: [10,8,9,12,14]; averaging the data sets with the maximum value and the minimum value removed to obtain an average supplier office consumable period; the data set after eliminating the maximum value and the minimum value is as follows: [10,8,9,12,14]. The average of these values is calculated: (10+8+9+12+14)/5=53/5=10.6; thus, according to this example, the average vendor supplies office consumable a for a period of 10.6 days;

step three, calculating the available stock time of office consumables, namely dividing the residual office consumables by the office consumables consumption rate, wherein the value represents how many days of use the currently-stock consumables can support. For example, the number of remaining office supplies is 50, the consumption rate is 3.33/day, and the available inventory time is 50/3.33≡15 days;

The specific operation process of the consumption early warning module comprises the following steps:

according to the office consumable purchase average period and the office consumable available inventory time, calculating an inventory tension degree coefficient, and dividing the office consumable purchase average period by the office consumable available inventory time to obtain the inventory tension degree coefficient; if the inventory tension degree coefficient is smaller than 1, indicating that the inventory is sufficient, and generating no signal; if the inventory tension degree coefficient is greater than or equal to 1, the inventory tension is represented, an early warning signal is generated, all office consumables are ordered according to the inventory tension degree coefficient from large to small, and an ordering value I is generated according to the inventory tension degree coefficient. For example, if the average period of purchase is 30 days and the available inventory time is 15 days, the inventory tension factor is 30/15=2.

The specific operation process of the important analysis module comprises the following steps:

the demand parameters include the achievement of a degree of dependence ratio;

key parameters include surrogate feasibility index;

The acquisition logic to achieve the dependency ratio is:

The collection dependency index can help enterprises to know the importance degree of different office consumables to business processes. Some consumables may be critical to business continuity and compliance, while other consumables may have less impact. By knowing the dependence degree of the consumable, enterprises can concentrate limited resources and efforts on the consumable with the greatest influence on the business, and smooth progress of the key business is ensured.

When the dependency index is a positive value, the dependency index indicates that the enterprise has higher dependency on the office consumable. This means that the business still needs to replenish the office supplies from inventory after the monthly usage minus the monthly purchase amount, indicating that the business's demand for the supplies is continuous and important during production or office; when the dependency index is a negative value, the dependency of the enterprise on the office supplies is lower. This means that the monthly purchase amount of the enterprise exceeds the usage amount, resulting in an increase in inventory, indicating that the enterprise's demand for the consumable is relatively small or unstable; when the dependency index approaches zero, the dependency of the enterprise on the office supplies is balanced. This means that monthly usage, purchases and inventory changes are relatively balanced and the enterprise's needs are matched to supplements.

For example: suppose we collect data for a business for a certain office consumable for the last 6 months (from month 1 to month 6) as follows:

month 1 usage amount: 100

Month 2 usage amount: 150

Month 3 usage amount: 80

Month 4 usage amount: 120

Month 5 usage amount: 200

Month 6 usage amount: 100

Month 1 purchase amount: 80

Month 2 purchase amount: 100

Month 3 purchase amount: 70

Month 4 purchase amount: 120

Month 5 purchase amount: 150

Month 6 purchase amount: 100

Month 1 last stock: 200

Month 2 last stock: 150

Month 3 last stock: 100

Month 4 last stock: 80

Month 5 last stock: 120

Month 6 last stock: 100

First, the net monthly consumption is calculated:

Month 1 net consumption = 100-80 = 20

Month 2 net consumption = 150-100 = 50

Month 3 net consumption = 80-70 = 10

Month 4 net consumption = 120-120 = 0

Month 5 net consumption = 200-150 = 50

Month 6 net consumption = 100-100 = 0

Then, the inventory change amount is calculated:

Month 1 inventory variance = 200-0 = 200

Month 2 inventory change amount=150-200= -50

Month 3 inventory change amount=100-150= -50

Month 4 inventory change amount=80-100= -20

Month 5 inventory variance = 120-80 = 40

Month 6 inventory change amount=100-120= -20

Finally, calculating a dependency index:

month 1 dependency index= (20+200)/100=2.2

Month 2 dependency index= (50-50)/150=0

Month 3 dependency index= (10-50)/80= -0.5

Month 4 dependency index= (0-20)/120= -0.1667

Month 5 dependency index= (50+40)/200=0.45

Month 6 dependency index= (0-20)/100= -0.2

Assuming that the dependency index threshold is 0.35, the statistical 6 months are 1 month and 5 months greater than or equal to the dependency index threshold, and the dependency ratio=2/6≡0.33 is reached;

The dependency degree occupation ratio is used for reflecting the overall degree of dependency of an enterprise on certain office consumables, and when the dependency degree occupation ratio is larger, the higher the dependency degree of the enterprise on the office consumables is. This means that there are more months of dependency index reaching or exceeding the dependency index threshold, indicating that the enterprise's demand for the consumable is more continuous and important; the smaller the dependency ratio is, the lower the dependency of the enterprise on the office consumable is. This means that there are fewer months of dependency index meeting or exceeding the dependency index threshold, indicating that the business's demand for the consumable is relatively less or unstable.

The acquisition logic of the surrogate feasibility index is:

Office supplies may be in short supply, out of production, or otherwise unavailable in a timely manner. By collecting the surrogate availability index, the enterprise can evaluate whether there is a surrogate consumable product to cope with an incident or a supply chain disruption. The method is beneficial to reducing the dependence of enterprises on single consumables, enhancing the stability and elasticity of the business, reflecting the uniqueness of office consumables in enterprise operation from the side, and providing sufficient priority basis support for evaluating when a plurality of office consumables are in shortage.

Step one, various functions of office supplies are listed, and the functions can comprise basic functions, additional functions and special functions. For example, if the office consumable is a printer, its functions include printing, copying, scanning;

counting the number of functions with overlapping;

Calculating a functional overlap index using the following formula: function overlap index= (number of functions with overlap)/total number of functions, function overlap index is.

For example, assume that we are to calculate the functional overlap index for office consumable a, and there are a total of 5 other office consumables B, C, D, E, F. The following is a list of their functions:

function of office supplies a: printing, copying, scanning and faxing

Function of office supplies B: printing, copying and faxing

Function of office supplies C: printing, faxing

Function of office supplies D: printing and copying

Function of office supplies E: printing, copying and faxing

Function of office supplies F: printing

In this example, the function of office consumable a is compared to the function of office consumable B, C, D, E, F, and the number of matches is 3 (print, copy, fax). The total number of functions of office supplies a is 4 (the number of functions of office supplies a plus the number of functions of other office supplies). Thus, the functional overlap index is 3/4, approximately 0.75.

The surrogate feasibility index is used for reflecting the functional replaceability of office consumables, the bigger surrogate feasibility index indicates that the functional overlap between the office consumables and other office consumables is higher, then an enterprise can replace emergency use by other surrogate under the condition of missing, the importance is lower, the smaller surrogate feasibility index indicates that the functional overlap degree between the office consumables and other office consumables is lower, and the missing office consumables possibly have no suitable surrogate for selection, so that the importance is higher, and the operation of the enterprise can be seriously influenced under the condition of missing;

for example, the criticality factor may be obtained by the following equation: wherein KCI, DRA, ASI respectively represents a key degree coefficient, a reaching dependency degree occupation ratio and a substitute feasibility index, Respectively, a preset proportion coefficient for achieving the dependency ratio and the substitute feasibility index, andIs more than 0 of the total number of the components,Less than 0.

The key degree coefficient is used for measuring the importance and the criticality of office consumables in enterprise operation; the greater the key degree coefficient is, the higher the key degree of office consumables to enterprise business is, and the loss or fault will have a greater influence on business process and production efficiency. This requires enterprises to pay more attention to and manage these consumables, ensuring their reliability of supply and use; conversely, the smaller the criticality factor, the lower the importance of office consumables in the business of the enterprise, and the less the business is affected by the deficiency or fault. This means that the enterprise can be more flexible in purchasing and managing, looking for alternatives or optimizing the supply chain to reduce costs and risks;

The specific operation process of the comprehensive analysis module comprises the following steps:

And carrying out weighted summation on the first sorting value and the second sorting value to obtain a priority value.

For example, the priority value may be obtained by the following formula: wherein P, SV, SV2 represent a priority value, a ranking value of 1, and a ranking value of 2, respectively, Respectively a sequencing value of 1 and a preset proportional coefficient of the sequencing value,Are all greater than 0;

The priority value comprehensively considers two factors of the inventory tension and the key degree coefficient to determine the priority of the item, and particularly, a larger priority value indicates that the item has higher importance and urgency in the aspects of the inventory tension and the key degree and needs to be processed and solved more quickly; conversely, a smaller priority value indicates that the item is relatively low in terms of inventory tension and criticality, and that the priority of the process is low, and that the process can be performed at a later stage or in a more flexible time; in summary, the magnitude of the priority value indicates where in the purchase management to prioritize for guiding decisions and resource allocation.

According to the invention, the office consumable use parameters and the purchasing parameters are collected, and the inventory tension degree coefficient is obtained according to the use parameters and the purchasing parameters, so that the emergency degree of the office consumable is more accurately evaluated, whether an early warning signal is generated or not is determined according to the tension degree coefficient, the purchasing personnel or related responsible persons can be conveniently and rapidly informed of the emergency situation of the office consumable, timely purchasing and supplementing of the office consumable are facilitated, and unnecessary delay or influence on daily office activities of enterprises due to consumable deletion is avoided; in addition, the key degree coefficient is obtained by collecting the achievement dependency degree occupation ratio of the office supplies which have been triggered to early-warn and the substitute feasibility index, so that the importance and the substitutability of the office supplies in the enterprise operation process are evaluated more accurately, the influence degree of the office supplies on the business process is measured more comprehensively, the priority value is finally obtained by combining the first sorting value obtained by the inventory tension degree coefficient and the second sorting value obtained by the key degree coefficient, the priority can be allocated for purchasing and supplementing different office supplies, the decision making process is simplified, the subjectivity and the uncertainty of the decision are reduced, the allocation of resources is facilitated to be optimized, the resource waste and the business interruption are avoided, and the operation efficiency and the production efficiency of the enterprise are improved.

The above formulas are all formulas with dimensionality removed and numerical calculation, the formulas are formulas with the latest real situation obtained by software simulation through collecting a large amount of data, and preset parameters and threshold selection in the formulas are set by those skilled in the art according to the actual situation.

The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions described in accordance with embodiments of the present application are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable devices. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more sets of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.

Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

It will be clear to those skilled in the art that, for convenience and brevity of description, the specific working procedures of the systems, apparatuses and units described above may refer to the corresponding procedures in the foregoing embodiments, and are not repeated here.

In the several embodiments provided in the present application, it should be understood that the disclosed system and apparatus may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other forms.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.

The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps in the content of the various embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, or other various media capable of storing program codes.

The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Finally: the foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.

Claims

1. An enterprise management office platform system based on cloud ERP management, comprising the following steps: the system comprises a consumable statistics module, a consumption early warning module, an important analysis module and a comprehensive analysis module, wherein the modules are connected through signals;

the comprehensive analysis module obtains a priority processing value by weighting and summing the sorting value I and the sorting value II according to the sorting value I and the sorting value II, and preferentially processes the office consumable inventory problem which is pre-warned according to the priority value;

step three, calculating the available stock time of office consumables, namely dividing the residual office consumable quantity by the consumption rate of the office consumables;

the demand parameters include the achievement of a degree of dependence ratio;

key parameters include surrogate feasibility index;

The acquisition logic to achieve the dependency ratio is:

Setting a dependency degree index threshold, comparing the monthly degree index with the dependency degree index threshold respectively, counting the number of the dependency degree indexes which are larger than or equal to the dependency degree index threshold, and dividing the number of the dependency degree indexes by the total number of months to obtain a rate of reaching the dependency degree;

The acquisition logic of the surrogate feasibility index is:

Step one, listing all functions of office consumables;

counting the number of functions with overlapping;

Calculating a functional overlap index using the following formula: function overlap index= (number of functions with overlap)/total number of functions;

2. The cloud ERP management-based enterprise management office platform system of claim 1, wherein: the specific operation process of the consumption early warning module comprises the following steps: