CN110288252A - Self-optimizing management system, method and business model based on business administration big data - Google Patents
Self-optimizing management system, method and business model based on business administration big data Download PDFInfo
- Publication number
- CN110288252A CN110288252A CN201910579675.9A CN201910579675A CN110288252A CN 110288252 A CN110288252 A CN 110288252A CN 201910579675 A CN201910579675 A CN 201910579675A CN 110288252 A CN110288252 A CN 110288252A
- Authority
- CN
- China
- Prior art keywords
- information
- enterprise
- solution
- business administration
- business
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06313—Resource planning in a project environment
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Educational Administration (AREA)
- Operations Research (AREA)
- Game Theory and Decision Science (AREA)
- Marketing (AREA)
- Development Economics (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Biodiversity & Conservation Biology (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The present invention relates to Techniques of Enterprise Management fields, more particularly to self-optimizing management system, method and business model based on business administration big data, system includes server and the first acquisition terminal, and server is stored with the enterprise's essential information for solving the first enterprise of business administration solution to the problem information and offer solution information；Server is used to obtain the business administration problem information of the second enterprise, and filters out solution information, which is pushed to the second enterprise；Server is also used to obtain feedback information, while pushing prompting message to the first enterprise；First acquisition terminal is used to supply first enterprise's editorial optimization solution information, and the optimal solution information is uploaded to server, server is also used to replacing with solution information into optimal solution information, and optimal solution information is sent to the second enterprise, solve the problem of that business administration can not find solution in time when something goes wrong with this.
Description
Technical field
The present invention relates to Techniques of Enterprise Management fields, and in particular to the self-optimizing management system based on business administration big data
System, method and business model.
Background technique
The resource of enterprise can be divided into external resource and internal resource.The internal resource of enterprise can be divided into: human resources, wealth
Material resources, information resources, technical resource, management resource, controllable market resource and internal environment resource.And the external money of enterprise
Source can be divided into: industry resource, Industrial Resources, market resource and external environment resource.
The wherein management resource component part one of important as corporate resources, be corporate resources is effectively integrated with
Reaching the dynamic creative activity of enterprise's set objective and responsibility, it is the integrated agent that the numerous resource effect of enterprise play,
Body is also one very important element of resource of enterprise.Directly affect or even decide the water that corporate resources overall effectiveness plays
It is flat.Management resource includes system of business management, Enterprise organization system arrangement, business administration strategy, business administration instruction etc..
Although the management resource of existing each enterprise at present is different, the management resource of the enterprise of same type but has
Similarity, but due to the enterprise of certain same types, exist in management resource with unreasonable, will lead to management effect
The low problem of rate generally requires to engage high-end managerial talent if enterprise wants to solve the problems, such as that the efficiency of management is low, and engages
The higher cost of high-end managerial talent does not often allow on some lesser business capitals, therefore needs a kind of business administration
System can recommend suitable management resource to enterprise intelligent according to enterprise demand, to improve the efficiency of management of enterprise.
Summary of the invention
The purpose of the present invention is to provide the self-optimizing management systems based on business administration big data, solve in business administration
When something goes wrong, the problem of solution can not be found in time.
In order to solve the above technical problems, base case of the invention is as follows:
Self-optimizing management system based on business administration big data, including server and the first acquisition terminal, the service
Device is stored with several solution business administration solution to the problem information, and also storage is provided with corresponding the of solution information
Enterprise's essential information of one enterprise；The server is used to obtain the business administration problem information of the second enterprise, and according to second
The business administration problem information of enterprise is filtered out with the solution letter for solving its business administration problem information of the second enterprise
Breath, and the solution information is pushed to the second enterprise；
The server is also used to obtain feedback information of second enterprise after application solution information, and is getting
When negative sense feedback information, scheme optimization prompting message is pushed to the first enterprise for providing the solution information；Described first adopts
Collect terminal and optimize prompting message for reception scheme, and supplies first enterprise's editorial optimization solution information, and the optimization is solved
Certainly scheme information is uploaded to server, and the server is also used to corresponding solution information replacing with optimal solution
Information, and optimal solution information is sent to the second enterprise.
The problems such as production efficiency of business administration problem information such as enterprise is low, high production cost, and these problems are each
Company is similar, the management just for property lacked, several solutions for solving the problems, such as business administration stored by server
Certainly scheme information, and according to the business administration problem information of the second enterprise, suitable solution information is filtered out, is finally pushed
To the second enterprise, provide reference the measure solved the problems, such as to the second enterprise, solution business administration when something goes wrong, can not be timely
The problem of finding solution.
It and is only merely the first enterprise due to the solution business administration solution to the problem information of server memory storage
The solution information being previously used, but with the development of enterprise and the rapid advances of modern society, pervious solution party
Case information is possible to fall behind, and there is the risk being eliminated, and is not too much suitable for present business administration demand, therefore server
It is also used to obtain feedback information of second enterprise after application solution information, and when getting negative sense feedback information, to
The first enterprise push scheme optimization prompting message of the solution information is provided.
Here negative sense feedback information refers to the second enterprise after applying the solution information, and the problem of management of enterprise is still
So exist, is solved not by very good solution or not.At this point, the first enterprise is receiving scheme optimization prompting message
Afterwards, so that it may according to the actual conditions of the enterprise of the second enterprise, and combine the business administration problem of present second enterprise, pass through first
Acquisition terminal edits out the optimal solution information for more having timeliness, and the optimization that this is more had timeliness solves
Scheme information is sent to server, and original solution information is replaced with updated optimal solution by server
Information can be accomplished the lasting solution information updated in server with this, achieve the purpose that self-optimizing management.And most
Optimal solution information is sent to the second enterprise afterwards, the ginseng for solving the problems, such as business administration can also be provided to the second enterprise in time
The property examined suggestion.
Further, the server is also used to obtain the corporate resources information of the first enterprise and the second enterprise, and matches
With highest first enterprise of corporate resources information similarity of the second enterprise；The server is also used to from all matched
In the solution information of one enterprise, filter out with the solution letter for solving its business administration problem information of the second enterprise
Breath.
The highest enterprise of corporate resources information similarity wherein matched, similarity is high, either such as Liang Ge enterprise
The similarity of the information such as scope of the enterprise, the type of business is all very high, therefore in this way, from all first enterprises matched
In the solution information of industry, filter out with the solution information for solving its business administration problem information of the second enterprise, it should
The solution information of first enterprise can be more in line with the current status of the second enterprise.
Further, the server is also used to mention to the first enterprise push scheme optimization for providing the solution information
While information of waking up, to first enterprise pushes the business administration problem information of corresponding second enterprise, solution business administration is asked
The solution information and negative sense feedback information of topic.
By this method, the first enterprise can be according to the business administration problem information of the second enterprise, it is thus understood that the second enterprise
Business administration problem what is, just will appreciate that the concrete condition in the solution according to solution information, by negative
It just although it is understood that the content in the solution results in which problem is not solved, and can be conducive to this to feedback information
First enterprise grasps more information relevant to the business administration problem information of the second enterprise, can be more conducive to the first enterprise
Take out more targeted optimal solution.
It further, further include the second acquisition terminal, second acquisition terminal solves its enterprise, the second enterprise for receiving
The solution information of problem of management information, second acquisition terminal are used for when receiving solution information, persistently adopt
Collect the corresponding associated data information of business administration problem information of the second enterprise.
Associated data information is data associated with the business administration problem, which objectively reflects the enterprise
Problem of management.
Therefore when the second acquisition terminal receives solution information, the business administration problem of the second enterprise of continuous collecting
The corresponding associated data information of information proves if associated data is increased or decreased compared to being originally to better direction
The business administration problem information of two enterprises utilizes the industrial management resource information of collected first enterprise, is resolved, instead
Do not obtain effective solution then.
Further, second acquisition terminal is also used to according to associated data information, generates feedback information, and by the feedback
Information is sent to server, and feedback information includes negative sense feedback information, and negative sense feedback information is that the second acquisition terminal is collected
When negative sense variation occurs for associated data information, the negative sense feedback information of generation.
By this method, can be more objective according to the feedback information that associated data information obtains, solution party is proved from data
Whether case information is able to solve the business administration problem of the second enterprise, and such as business administration problem information of the second enterprise is " production
It is inefficient " and using after the solution information, 1 month output drops to 9,500 by 10,000, at this time
The collected associated data information of second acquisition terminal is exactly that the associated data information of negative sense variation, the feedback letter of generation has occurred
Breath is just negative sense feedback information.
In addition, the present invention also provides the self-optimizing management methods based on business administration big data, comprising the following steps:
Storing step: prestoring several solution business administration solution to the problem information and provides pair of solution information
The enterprise's essential information for the first enterprise answered；
Problem information obtaining step: the business administration problem information of the second enterprise is obtained；
Screening step: according to the business administration problem information of the second enterprise, filtering out has solution its enterprise, the second enterprise
The solution information of problem of management information；
Solution sending step: the solution information is sent to the second enterprise；
Feedback information obtaining step: feedback information of second enterprise after application solution information is obtained；
Information pushes step: when getting negative sense feedback information, pushing away to the first enterprise for providing the solution information
Send scheme optimization prompting message；
Prompting message receiving step: first corporate recipient's case optimizes prompting message；
Edit step: first enterprise's editorial optimization solution information；
Replacement step: the corresponding solution information prestored is replaced with into the first enterprise and edits the optimization solution party completed
Case information；
Information sending step: optimal solution information is sent to the second enterprise.
The problems such as production efficiency of business administration problem information such as enterprise is low, high production cost, and these problems are each
Company is similar, the management just for property lacked, passes through several solution business administration solution to the problem of storage
Information, and according to the business administration problem information of the second enterprise, suitable solution information is filtered out, is finally pushed to second
Enterprise provides reference the measure that solves the problems, such as to the second enterprise, solution business administration when something goes wrong, solution can not be found in time
Certainly the problem of scheme.
It and is only merely use before the first enterprise due to the solution business administration solution to the problem information of storage
The solution information crossed, but with the development of enterprise and the rapid advances of modern society, pervious solution information has
It may fall behind, there is the risk being eliminated, not too much be suitable for present business administration demand, therefore can also obtain the second enterprise
Feedback information of the industry after application solution information, and when getting negative sense feedback information, believe to the solution is provided
First enterprise of breath pushes scheme optimization prompting message.
Here negative sense feedback information refers to the second enterprise after applying the solution information, and the problem of management of enterprise is still
So exist, is solved not by very good solution or not.At this point, the first enterprise is receiving scheme optimization prompting message
Afterwards, so that it may according to the actual conditions of the enterprise of the second enterprise, and combine the business administration problem of present second enterprise, edit out more
Add the optimal solution information for having timeliness, and the solution information stored originally is replaced with this and more has timeliness
The optimal solution information of property, can be accomplished the lasting solution information updated storage with this, reach self-optimizing management
Purpose.And optimal solution information is finally sent to the second enterprise, can also be provided in time to the second enterprise and solve enterprise
The referential suggestion of industry problem of management.
It further, further include corporate resources obtaining step and matching step；
Corporate resources obtaining step: the corporate resources information of the first enterprise and the second enterprise is obtained；
Matching step: highest first enterprise of corporate resources information similarity with the second enterprise is matched；
The screening step further include: from the solution information of all first enterprises matched, filtering out has
Solve the solution information of its business administration problem information of the second enterprise.
The highest enterprise of corporate resources information similarity wherein matched, similarity is high, either such as Liang Ge enterprise
The similarity of the information such as scope of the enterprise, the type of business is all very high, therefore in this way, from all first enterprises matched
In the solution information of industry, filter out with the solution information for solving its business administration problem information of the second enterprise, it should
The solution information of first enterprise can be more in line with the current status of the second enterprise.
Further, the information pushes step further include: in the first push side, enterprise to the offer solution information
While case optimizes prompting message, the business administration problem information of corresponding second enterprise is pushed to first enterprise, solves enterprise
The solution information and negative sense feedback information of industry problem of management.
By this method, the first enterprise can be according to the business administration problem information of the second enterprise, it is thus understood that the second enterprise
Business administration problem what is, just will appreciate that the concrete condition in the solution according to solution information, by negative
It just although it is understood that the content in the solution results in which problem is not solved, and can be conducive to this to feedback information
First enterprise grasps more information relevant to the business administration problem information of the second enterprise, can be more conducive to the first enterprise
Take out more targeted optimal solution.
It further, further include solution receiving step, continuous collecting step and feedback information generation step；
Solution receiving step: the second enterprise receives the solution party that can solve its business administration problem information of the second enterprise
Case information；
Continuous collecting step: when receiving solution information, the enterprise of the second enterprise of continuous collecting is managed for the second enterprise
Manage the corresponding associated data information of problem information；
Feedback information generation step: according to associated data information, feedback information is generated, feedback information includes negative sense feedback letter
Breath, when negative sense feedback information is that negative sense variation occurs for collected associated data information, the negative sense feedback information of generation.
Associated data information is data associated with the business administration problem, which objectively reflects the enterprise
Problem of management.
Therefore when the second enterprise receives solution information, the business administration problem information of the second enterprise of continuous collecting
Corresponding associated data information proves the second enterprise if associated data is increased or decreased compared to being originally to better direction
The business administration problem information of industry utilize collected first enterprise industrial management resource information, be resolved, it is on the contrary then
Do not obtain effective solution.
And can be more objective according to the feedback information that associated data information obtains, solution information is proved from data
Whether the business administration problem of second enterprise is able to solve, and such as business administration problem information of the second enterprise is that " production efficiency is not
It is high " and using after the solution information, 1 month output drops to 9,500 by 10,000, collects at this time
Associated data information be exactly have occurred negative sense variation associated data information, the feedback information of generation is just negative sense feedback letter
Breath.
In addition, the present invention also provides the self-optimizings based on business administration big data to manage business model, include the following steps:
S1: corporate resources shared platform is established using server, corporate resources shared platform prestores several solution enterprises
Enterprise's essential information of corresponding first enterprise of the solution information and offer solution information of problem of management；
S2: the second enterprise issues business administration problem information in corporate resources shared platform；
S3: for corporate resources shared platform in the business administration problem information for receiving the second enterprise, filtering out has solution
The certainly solution information of its business administration problem information of the second enterprise；
S4: the first enterprise and the second of publication business administration problem information of the offer solution information filtered out is obtained
The corporate resources information of enterprise；
S5: in the corporate resources information of the first enterprise filtered out, the corporate resources information with the second enterprise is matched
Highest first enterprise of similarity, and the first enterprise is solved into the push of its business administration solution to the problem information of the second enterprise
To the first enterprise；
While S6: the second enterprise issues business administration problem information to corporate resources shared platform, the amount of money is put in publication on someone's head；
S7: the first enterprise also editable optimal solution, and the business administration for the second enterprise of solution that editor is completed
The optimal solution information of problem information is sent to corporate resources shared platform, and shared flat from corporate resources by the second enterprise
Platform selects corresponding optimal solution information；
S8: after the second enterprise selects corresponding optimal solution information from corporate resources shared platform, corporate resources
Shared platform persistently obtains the corresponding associated data information of business administration problem information of the second enterprise, and according to incidence number it is believed that
Breath evaluates the feasibility of optimal solution information；
S9: corporate resources shared platform is according to the feasibility of the optimal solution information after evaluation, by the second enterprise
It puts the amount of money on someone's head to be delivered in proportion in the first enterprise, and the remaining amount of money of putting on someone's head is returned to the second enterprise.
By using associated data information as evaluation solution information feasibility foundation, that is, using data as
Evidence, it was demonstrated that the first enterprise provide whether solution feasible or how is effect, if by comparing the second enterprise using should
Associated data before and after solution obtains the direction that associated data is become better and increases, then proves that the program is feasible, enterprise
The amplitude that can be increased according to associated data sets the specific ratio for delivering the amount of money, and the direction become better such as associated data rises
%5, the then ratio for delivering the amount of money are set as 50%, with this can will more objectively put on someone's head the amount of money distribute to pay labour at
The first enterprise of fruit.
Detailed description of the invention
Fig. 1 is that the present invention is based on the schematic block diagrams of the self-optimizing management system embodiment of business administration big data；
Fig. 2 is that the present invention is based on the flow charts of the self-optimizing management method embodiment of business administration big data.
Specific embodiment
It is further described below by specific embodiment:
Embodiment is substantially as shown in Fig. 1: the self-optimizing management system based on business administration big data, including server,
First acquisition terminal and the second acquisition terminal, server include database, problem information acquisition module, screening module, enterprise's money
Source obtain module, matching module, solution sending module, feedback information obtain module, info push module, replacement module and
Information sending module, the first acquisition terminal include prompting message receiving module, editor module and uploading module, the second acquisition terminal
Including solution receiving module, continuous collecting module, feedback information generation module and Feedback information sending module.
Database purchase has several solution business administration solution to the problem information, and also storage is provided with solution letter
Enterprise's essential information of corresponding first enterprise of breath, enterprise's essential information include that enterprise name information, Enterprise linkage mode are believed
Breath and registered enterprise fund information etc..
Problem information obtains module: for obtaining the business administration problem information of the second enterprise.
Screening module: according to the business administration problem information of the second enterprise, filtering out has solution its enterprise, the second enterprise
The solution information of problem of management information.
Corporate resources obtains module: for obtaining the corporate resources information of the first enterprise and the second enterprise.
Matching module: highest first enterprise of corporate resources information similarity with the second enterprise is matched.
Screening module: being also used to from the solution information of all first enterprises matched, and filtering out has solution
The solution information of its business administration problem information of second enterprise.
Solution sending module: there is the solution for solving its business administration problem information of the second enterprise for that will filter out
Scheme information, the second acquisition terminal for being sent to the second enterprise are checked for the second enterprise.
Solution receiving module: the second enterprise receives the solution for solving its business administration problem information of the second enterprise
Information.
Continuous collecting module: when solution receiving module receives solution information, the second enterprise of continuous collecting
The corresponding associated data information of business administration problem information.
Feedback information generation module: for generating feedback information, feedback information includes that negative sense is anti-according to associated data information
Feedforward information, when negative sense feedback information is that negative sense variation occurs for continuous collecting module collected associated data information, generation is born
To feedback information.
Feedback information sending module: mould is obtained for the feedback information of generation to be sent to the feedback information in server
Block.
Feedback information obtains module: for obtaining feedback information of second enterprise after application solution information.
Info push module: it when getting negative sense feedback information, is pushed away to the first enterprise for providing the solution information
Send scheme optimization prompting message, corresponding second enterprise business administration problem information, solve the problems, such as the solution party of business administration
Case information and corresponding negative sense feedback information.
Prompting message receiving module: optimize prompting message for reception scheme.
Editor module: for when receiving scheme optimization prompting message, being compiled for the first enterprise in prompting message receiving module
Collect optimal solution information.
Uploading module: the optimal solution information is uploaded in the database in server.
Replacement module: for the corresponding solution information stored in database to be replaced with optimal solution letter
Breath.
Information sending module: optimal solution information is sent to the second acquisition terminal of the second enterprise for the second enterprise
It checks.
As shown in Fig. 2, the self-optimizing management system of the invention based on business administration big data is illustrated in order to clearer,
In the present embodiment, the self-optimizing management method based on business administration big data is also disclosed, this method is based on system above, including
Following steps:
Storing step: prestoring several solution business administration solution to the problem information and provides pair of solution information
The enterprise's essential information for the first enterprise answered, essential information include enterprise name information, Enterprise linkage mode information and enterprise's note
Volume fund information etc..
Problem information obtaining step: the business administration problem information of the second enterprise is obtained.
Screening step: according to the business administration problem information of the second enterprise, filtering out has solution its enterprise, the second enterprise
The solution information of problem of management information.
Corporate resources obtaining step: the corporate resources information of the first enterprise and the second enterprise is obtained.
Matching step: highest first enterprise of corporate resources information similarity with the second enterprise is matched.
Screening step further include: from the solution information of all first enterprises matched, filtering out has solution
The solution information of its business administration problem information of second enterprise.
Solution sending step: it will filter out with the solution for solving its business administration problem information of the second enterprise
Information is sent to the second enterprise.
Solution receiving step: the second enterprise receives the solution party that can solve its business administration problem information of the second enterprise
Case information.
Continuous collecting step: when receiving solution information, the enterprise of the second enterprise of continuous collecting is managed for the second enterprise
Manage the corresponding associated data information of problem information.
Feedback information generation step: according to associated data information, feedback information is generated, feedback information includes negative sense feedback letter
Breath, when negative sense feedback information is that negative sense variation occurs for collected associated data information, the negative sense feedback information of generation.
Feedback information obtaining step: feedback information of second enterprise after application solution information is obtained.
Information pushes step: when getting negative sense feedback information, pushing away to the first enterprise for providing the solution information
Send scheme optimization prompting message, corresponding second enterprise business administration problem information, solve the problems, such as the solution party of business administration
Case information and corresponding negative sense feedback information.
Prompting message receiving step: first corporate recipient's case optimizes prompting message.
Edit step: when the first enterprise receives scheme optimization prompting message, the administrative staff of the first enterprise edit excellent
Change solution information.
Replacement step: the administrative staff that the corresponding solution information prestored replaces with the first enterprise are edited into completion
Optimal solution information；
Information sending step: optimal solution information is sent to the second enterprise, is checked for the second enterprise.
In addition, illustrating self-optimizing management system of the invention based on business administration big data in order to clearer and being based on
The self-optimizing management method of business administration big data in the present embodiment, also discloses the self-optimizing based on business administration big data
Manage business model, comprising the following steps:
S1: corporate resources shared platform is established using server, corporate resources shared platform prestores several solution enterprises
Enterprise's essential information of corresponding first enterprise of the solution information and offer solution information of problem of management.
S2: the second enterprise issues business administration problem information in corporate resources shared platform.
S3: for corporate resources shared platform in the business administration problem information for receiving the second enterprise, filtering out has solution
The certainly solution information of its business administration problem information of the second enterprise.
S4: the first enterprise and the second of publication business administration problem information of the offer solution information filtered out is obtained
The corporate resources information of enterprise.
S5: in the corporate resources information of the first enterprise filtered out, the corporate resources information with the second enterprise is matched
Highest first enterprise of similarity, and the first enterprise is solved into the push of its business administration solution to the problem information of the second enterprise
To the first enterprise.
While S6: the second enterprise issues business administration problem information to corporate resources shared platform, the amount of money is put in publication on someone's head.
S7: the first enterprise also editable optimal solution, and the business administration for the second enterprise of solution that editor is completed
The optimal solution information of problem information is sent to corporate resources shared platform, and shared flat from corporate resources by the second enterprise
Platform selects corresponding optimal solution information.
S8: after the second enterprise selects corresponding optimal solution information from corporate resources shared platform, corporate resources
Shared platform persistently obtains the corresponding associated data information of business administration problem information of the second enterprise, and according to incidence number it is believed that
Breath evaluates the feasibility of optimal solution information.
S9: corporate resources shared platform is according to the feasibility of the optimal solution information after evaluation, by the second enterprise
It puts the amount of money on someone's head to be delivered in proportion in the first enterprise, and the remaining amount of money of putting on someone's head is returned to the second enterprise.
Specifically used scene is as follows:
When the second enterprise encounters business administration problem, the business administration problem information of this enterprise can be sent out by server
Cloth is gone out, in the server the problem of data obtaining module when getting the business administration problem information of the second enterprise, by
Highest first enterprise of corporate resources information similarity with the second enterprise is matched with module.
Its similarity is high, and the similarity of the information such as Zhi Liangge enterprise either scope of the enterprise, the type of business is all very high, enterprise
Scale is assessed from the information such as enterprise staff quantity, occupied area, output, for example, the headcount of A enterprise is
3523, the headcount of B enterprise is 3216, the headcount of C enterprise is 2065, it is assumed that A enterprise is to propose business administration problem
The enterprise of information, i.e., immediate with A in B and C on headcount is B enterprise.Compare occupied area and production again by this method
Amount, the enterprise most with A enterprise immediate item number in the information such as last comprehensive selection headcount, occupied area, output
As highest first enterprise of the degree of approximation.
And the business administration problem that can solve the second enterprise is screened from the first enterprise matched by screening module
The solution information of the first enterprise filtered out is pushed to the second enterprise by the first enterprise of information.As the second enterprise proposes
The problem of then corresponding screening module is screened by the identification of keyword, such as is known at this time for " automobile production process problem "
The keyword being clipped to is " automobile ", " production " and " process ", then screening module will be filtered out corresponding to these three keywords
Solution information, then the solution information that the first enterprise for screening provides as:
Automobile manufacturing management resource information includes: production procedure information, production technology information, product index value information and ginseng
Number set information, wherein production procedure includes setting of the manager for industrial whole flow process.
More particularly to such as: punching course, welding process, coating process and general assembly process during automobile production, and
Specific production technology information, such as blanking, drawing, deburring, punching, flange, shaping, bound edge are further related to during these,
And (specific dimensional accuracy is not here superfluous for the setting for the dimensional accuracy of each components being further related in production process etc.
It states).
The index value information of product is such as: index value is set as 3 grades, a grades (normal), b grades (exception), c grades (severely subnormal),
Wherein a grades of corresponding quality pass rates are 90% or more, b grades of corresponding quality pass rates between 80%-%90, c grades of correspondences
Quality pass rate be 80% or less.
Parameter setting information is such as: human cost (work post, quantity, operating time, every hourly pay), material cost (material kind
Class, consumption of materials, material unit price), basic cost (basic type, consumption, foundation unit price), other costs (cost type,
Cost total value) etc. information.
Above-mentioned production procedure information, production technology information, product index value information and parameter setting information has referred to whole
Prerequisite production management resource during a automobile manufacturing management, when the second enterprise encounter " automobile production process problem " or
When relevant enterprise problem of management, so that it may directly according to these solution informations of push, carry out the rectification of adaptability.And it pushes away
The solution information sent can also be directed to those types enterprise that is identical, and just establishing, refer to the solution information for them,
One's own management system can quickly be set up.
When the solution receiving module of the second acquisition terminal is when receiving solution information, continuous collecting second is looked forward to
The corresponding associated data information of the business administration problem information of industry, associated data information are associated with the business administration problem
The yields of certain part, the yield of part, the data objectively reflect the enterprise during data, such as automobile production
Problem of management is compared after the solution information that the second enterprise uses the first enterprise by the front and back of associated data, so that it may
Find out whether the solution is feasible.
And before associated data information is compared to the original solution information without using the first enterprise, under
What drop or rising were not obvious, then it generates negative sense feedback information and (is defined as unobvious rising for the 0.5% of data in the present embodiment
Or the standard of decline), and server is sent to by Feedback information sending module, server is getting negative sense feedback information
When, enterprise's pipe of scheme optimization prompting message, corresponding second enterprise is pushed to the first enterprise for providing the solution information
It manages problem information, solve business administration solution to the problem information and corresponding negative sense feedback information, make first enterprise's energy
Enough business administration problem informations according to the second enterprise, it is thus understood that the business administration problem of the second enterprise is, according to solution
Scheme information just will appreciate that the concrete condition in the solution, just although it is understood that the solution by negative sense feedback information
In content result in which problem is not solved, with this can be conducive to the first enterprise grasp more with the second enterprise
The relevant information of business administration problem information can be more conducive to the first enterprise and take out more targeted optimization solution party
Case.
It, can should by uploading module after the first enterprise completes optimal solution information by editor module editor
Optimal solution information is uploaded to server, the replacement module in server, so that it may the corresponding solution that will be stored in database
Certainly scheme information replaces with optimal solution information, can accomplish the solution letter in lasting more new database with this
Breath, achievees the purpose that self-optimizing management.And optimal solution information is finally sent to the second enterprise, it can also be in time to the
Two enterprises provide the referential suggestion for solving the problems, such as business administration.
What has been described above is only an embodiment of the present invention, and the common sense such as well known specific structure and characteristic are not made herein in scheme
Excessive description, technical field that the present invention belongs to is all before one skilled in the art know the applying date or priority date
Ordinary technical knowledge can know the prior art all in the field, and have using routine experiment hand before the date
The ability of section, one skilled in the art can improve and be implemented in conjunction with self-ability under the enlightenment that the application provides
This programme, some typical known features or known method should not become one skilled in the art and implement the application
Obstacle.It should be pointed out that for those skilled in the art, without departing from the structure of the invention, can also make
Several modifications and improvements out, these also should be considered as protection scope of the present invention, these all will not influence the effect that the present invention is implemented
Fruit and patent practicability.The scope of protection required by this application should be based on the content of the claims, the tool in specification
The records such as body embodiment can be used for explaining the content of claim.
Claims (10)
1. the self-optimizing management system based on business administration big data, including server and the first acquisition terminal, it is characterised in that:
The server is stored with several solution business administration solution to the problem information, and also storage is provided with solution information
Enterprise's essential information of corresponding first enterprise；The server is used to obtain the business administration problem information of the second enterprise, and
According to the business administration problem information of the second enterprise, filter out with the solution for solving its business administration problem information of the second enterprise
Scheme information, and the solution information is pushed to the second enterprise；
The server is also used to obtain feedback information of second enterprise after application solution information, and is getting negative sense
When feedback information, scheme optimization prompting message is pushed to the first enterprise for providing the solution information；First acquisition is eventually
End optimizes prompting message for reception scheme, and supplies first enterprise's editorial optimization solution information, and by optimization solution party
Case information is uploaded to server, and the server is also used to replace with corresponding solution information optimal solution letter
Breath, and optimal solution information is sent to the second enterprise.
2. the self-optimizing management system according to claim 1 based on business administration big data, it is characterised in that: the clothes
Business device is also used to obtain the corporate resources information of the first enterprise and the second enterprise, and matches and believe with the corporate resources of the second enterprise
Cease highest first enterprise of similarity；The server is also used to the solution information from all first enterprises matched
In, it filters out with the solution information for solving its business administration problem information of the second enterprise.
3. the self-optimizing management system according to claim 1 based on business administration big data, it is characterised in that: the clothes
Business device be also used to provide the solution information the first enterprise push scheme optimization prompting message while, to this first
Enterprise pushes the business administration problem information of corresponding second enterprise, solves business administration solution to the problem information and negative sense
Feedback information.
4. the self-optimizing management system according to claim 1 based on business administration big data, it is characterised in that: further include
Second acquisition terminal, second acquisition terminal are used to receive the solution for solving its business administration problem information of the second enterprise
Information, second acquisition terminal are used for when receiving solution information, and the business administration of the second enterprise of continuous collecting is asked
Inscribe the corresponding associated data information of information.
5. the self-optimizing management system according to claim 4 based on business administration big data, it is characterised in that: described
Two acquisition terminals are also used to generate feedback information, and the feedback information is sent to server according to associated data information, feed back
Information includes negative sense feedback information, and negative sense feedback information is that negative sense change occurs for the collected associated data information of the second acquisition terminal
When dynamic, the negative sense feedback information of generation.
6. the self-optimizing management method based on business administration big data, which comprises the following steps:
Storing step: prestoring several solution business administration solution to the problem information and provides the corresponding of solution information
Enterprise's essential information of first enterprise；
Problem information obtaining step: the business administration problem information of the second enterprise is obtained；
Screening step: according to the business administration problem information of the second enterprise, filtering out has solution its business administration of the second enterprise
The solution information of problem information；
Solution sending step: the solution information is sent to the second enterprise；
Feedback information obtaining step: feedback information of second enterprise after application solution information is obtained；
Information pushes step: when getting negative sense feedback information, to the first push side, enterprise of the offer solution information
Case optimizes prompting message；
Prompting message receiving step: first corporate recipient's case optimizes prompting message；
Edit step: first enterprise's editorial optimization solution information；
Replacement step: the corresponding solution information prestored is replaced with into the first enterprise and edits the optimal solution letter completed
Breath；
Information sending step: optimal solution information is sent to the second enterprise.
7. the self-optimizing management method according to claim 6 based on business administration big data, which is characterized in that further include
Corporate resources obtaining step and matching step；
Corporate resources obtaining step: the corporate resources information of the first enterprise and the second enterprise is obtained；
Matching step: highest first enterprise of corporate resources information similarity with the second enterprise is matched；
The screening step further include: from the solution information of all first enterprises matched, filtering out has solution
The solution information of its business administration problem information of second enterprise.
8. the self-optimizing management method according to claim 6 based on business administration big data, which is characterized in that the letter
Breath push step further include: while pushing scheme optimization prompting message to the first enterprise for providing the solution information,
The business administration problem information of corresponding second enterprise is pushed to first enterprise, solves business administration solution to the problem letter
Breath and negative sense feedback information.
9. the self-optimizing management method according to claim 6 based on business administration big data, which is characterized in that further include
Solution receiving step, continuous collecting step and feedback information generation step；
Solution receiving step: the second enterprise receives the solution letter that can solve its business administration problem information of the second enterprise
Breath；
Continuous collecting step: when receiving solution information, the business administration of the second enterprise of continuous collecting is asked for the second enterprise
Inscribe the corresponding associated data information of information；
Feedback information generation step: according to associated data information, generating feedback information, and feedback information includes negative sense feedback information,
When negative sense feedback information is that negative sense variation occurs for collected associated data information, the negative sense feedback information of generation.
10. the self-optimizing based on business administration big data manages business model, which comprises the steps of:
S1: corporate resources shared platform is established using server, corporate resources shared platform prestores several solution business administrations
Enterprise's essential information of corresponding first enterprise of solution to the problem information and offer solution information；
S2: the second enterprise issues business administration problem information in corporate resources shared platform；
S3: corporate resources shared platform filters out to have and solves the in the business administration problem information for receiving the second enterprise
The solution information of its business administration problem information of two enterprises；
S4: the first enterprise of the offer solution information filtered out and the second enterprise of publication business administration problem information are obtained
Corporate resources information；
S5: it in the corporate resources information of the first enterprise filtered out, matches similar to the corporate resources information of the second enterprise
It spends highest first enterprise, and the first enterprise solution its business administration solution to the problem information of the second enterprise is pushed to the
One enterprise；
While S6: the second enterprise issues business administration problem information to corporate resources shared platform, the amount of money is put in publication on someone's head；
S7: the first enterprise also editable optimal solution, and the business administration for solving the problems, such as the second enterprise that editor is completed
The optimal solution information of information is sent to corporate resources shared platform, and is selected by the second enterprise from corporate resources shared platform
Select corresponding optimal solution information；
S8: after the second enterprise selects corresponding optimal solution information from corporate resources shared platform, corporate resources is shared
Platform persistently obtains the corresponding associated data information of business administration problem information of the second enterprise, and according to associated data information,
Evaluate the feasibility of optimal solution information；
S9: corporate resources shared platform is according to the feasibility of the optimal solution information after evaluation, by putting on someone's head for the second enterprise
The amount of money is delivered in proportion in the first enterprise, and the remaining amount of money of putting on someone's head is returned to the second enterprise.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910579675.9A CN110288252A (en) | 2019-06-28 | 2019-06-28 | Self-optimizing management system, method and business model based on business administration big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910579675.9A CN110288252A (en) | 2019-06-28 | 2019-06-28 | Self-optimizing management system, method and business model based on business administration big data |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110288252A true CN110288252A (en) | 2019-09-27 |
Family
ID=68019869
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910579675.9A Pending CN110288252A (en) | 2019-06-28 | 2019-06-28 | Self-optimizing management system, method and business model based on business administration big data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110288252A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114663054A (en) * | 2022-03-22 | 2022-06-24 | 通号智慧城市研究设计院有限公司 | Data processing method, server and electronic equipment |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107844874A (en) * | 2016-09-19 | 2018-03-27 | 鼎捷软件股份有限公司 | Enterprise operation problem analysis system and its method |
| US20180309791A1 (en) * | 2017-04-24 | 2018-10-25 | Unisys Corporation | Solution definition for enterprise security management |
| US20180309788A1 (en) * | 2017-04-24 | 2018-10-25 | Unisys Corporation | Enterprise security management tool |
| CN109902153A (en) * | 2019-04-02 | 2019-06-18 | 杭州安脉盛智能技术有限公司 | Equipment fault diagnosis method and system based on natural language processing and reasoning by cases |
-
2019
- 2019-06-28 CN CN201910579675.9A patent/CN110288252A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107844874A (en) * | 2016-09-19 | 2018-03-27 | 鼎捷软件股份有限公司 | Enterprise operation problem analysis system and its method |
| US20180309791A1 (en) * | 2017-04-24 | 2018-10-25 | Unisys Corporation | Solution definition for enterprise security management |
| US20180309788A1 (en) * | 2017-04-24 | 2018-10-25 | Unisys Corporation | Enterprise security management tool |
| CN109902153A (en) * | 2019-04-02 | 2019-06-18 | 杭州安脉盛智能技术有限公司 | Equipment fault diagnosis method and system based on natural language processing and reasoning by cases |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114663054A (en) * | 2022-03-22 | 2022-06-24 | 通号智慧城市研究设计院有限公司 | Data processing method, server and electronic equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20050108262A1 (en) | Systems and methods for retrieving data | |
| CN112200544B (en) | Intelligent scientific research management system based on big data technology | |
| CN113361816A (en) | One set of customer service staff scheduling system | |
| CN112465468A (en) | Office task management system and management method | |
| CN115456472B (en) | Digital management method and system for industrial purchasing supply chain carbon assets | |
| CN110288252A (en) | Self-optimizing management system, method and business model based on business administration big data | |
| CN111950846A (en) | Intelligent factory shift scheduling system | |
| CN107292578A (en) | The online estimating and examining system of high voltage distribution network project feasibility study and method | |
| CN102194183B (en) | Support service promotion system and the method for multiple popularization activity coordinated implementation | |
| CN108921521A (en) | A kind of conference service management system | |
| CN112256767A (en) | Talent introduction data service management system based on printing industry | |
| CN109919361B (en) | Cooperative response control device for logistics business transaction | |
| CN109299926A (en) | A kind of external finance software data integration method | |
| CN110264102A (en) | Intelligent management system, method and business model based on business administration big data | |
| CN114255098B (en) | Online ordering full-period intelligent management system based on image analysis technology | |
| CN109165868A (en) | A kind of risk monitoring and control model established based on historical data | |
| US20040054562A1 (en) | Multi-perspective enterprise management tool | |
| CN104281908A (en) | Printing system enabling production to be scheduled based on orders | |
| CN111815453A (en) | Electric power transaction operation system | |
| CN110288248A (en) | A kind of business administration resource sharing system, method and business model | |
| CN113450012A (en) | Marketing inspection robot control system based on RPA technology | |
| CN111027928A (en) | Task rewarding employment system | |
| CN116579546B (en) | Intelligent electricity consumption data analysis and management system based on park | |
| CN110609994B (en) | Enterprise data direct reporting method and system based on Internet | |
| CN117522016A (en) | Automatic management system for working data |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190927 |