CN110288253A - Cost optimization management system and method - Google Patents
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Abstract
The present invention relates to cost management technology field, specially a kind of cost optimization management system and method, the system include data generation module, for generating single datum according to parameter actual information and statistical rules；Single datum is labeled as exceeded data for obtaining normal data, and when single datum exceeds normal data by data analysis module.Method includes the following steps: data generation step, obtains statistical rules, single datum is generated according to parameter actual information and statistical rules generating process data, and according to process data；Data analysis step obtains normal data, and when single datum exceeds normal data, single datum is labeled as exceeded data.Single datum can be automatically generated according to the parameter of acquisition using this programme, and exceeded data can be filtered out according to the single datum of generation and the normal data of setting to remind manager.
Description
Technical field
The present invention relates to cost management technology field, specially a kind of cost optimization management system and method.
Background technique
Production cost is that production unit is the every producing cost for producing product or utility service and occurring, including items are directly
Connect expenditure and manufacturing expense.Directly expenditure include direct material (raw material, auxiliary material, standby redundancy, fuel and power etc.),
Direct pay (wage of producers, subsidy), other direct expenditures (such as welfare fund)；Manufacturing expense refers to point in enterprise
Factory, workshop produce the general expenses that occurs by organization and management, including subsidiary factory, workshop management personnel wage, depreciation cost and its
His manufacturing expense (administrative expenses, travel charge, labor insurance fees etc.).
The profit of enterprise is that sales volume subtracts cost, in order to which net income increase often takes two kinds of measures, first is that increasing sale
Volume, second is that reduced cost.And most of enterprise is to strive for maximum profit, often two kinds of measures carry out simultaneously, in expansion city
While field increases sales volume, reasonable reduced cost under the premise of guaranteeing quality, therefore enterprise need to carry out the cost of product
Analysis and control.The existing enterprise that manufactures is mainly to use monthly to count, then share equally for the accounting of cost and management
Mode in every product carries out, and there are following disadvantages for such mode:
1. calculating excessive cycle: can just be exposed in the cost abnormal problem that certain day occurs when calculating, be unfavorable for locating in time
Manage cost abnormal problem；
2. the cost calculation inaccuracy that the mode of amortization makes single products: daily production cost and production are total in one month
Measure not identical, i.e. the cost of single products corresponding daily is not also identical, the mode monthly shared equally make original cost compared with
High product price is lower, and original lower-cost product price is got higher；
3. covering accidental cost abnormal problem: monthly counting and share equally, so that certain day accidental cost abnormal problem quilt
It divides in other normal number of days, may just will appear when comprehensive statistics that there is no abnormal situations.
Since there are disadvantages mentioned above, cause manager that can not grasp production cost variation in real time dynamically, while but also
Manager does not know set about from which link, carries out production process to require a great deal of time when optimizing production process
Analysis may be because causing to consume excessive cost without optimization production process in time and in this analysis phase.
Summary of the invention
The invention is intended to provide a kind of cost optimization management system, individual event number can be automatically generated according to the parameter of acquisition
According to, and exceeded data can be filtered out to remind manager according to the single datum of generation and the normal data of setting.
The present invention provides base case: cost optimization management system, including background server, the background server include
Data transmission module, for the actual information that gets parms；
Data generation module, for obtaining statistical rules, and according to parameter actual information and statistical rules generating process number
According to, and single datum is generated according to process data；
Data analysis module, for obtaining normal data, and when single datum exceeds normal data, by single datum mark
It is denoted as exceeded data.
Noun explanation: statistical rules, which is that enterprise is preset, finds out respective process data, statistical number according to parameter actual information
According to the formula or algorithm of, single datum；Parameter actual information is the parameters that the manager obtained requires, including parameter type
And parameter name；Process data is the data counted under every kind of parameter type, how many kind parameter type is with regard to how many process
Data；Normal data is the price of the acceptable single products cost of enterprise's setting.
The working principle and beneficial effect of base case: being got parms actual information by data transmission module, acquisition
Mode can be data picker and directly input, and be also possible to acquire by sensor, can also be directly from existing equipment
It obtains.What statistical rules can prestore for system developer, it can also be set and be prestored by company manager, data picker or pipe
Reason person inputs relevant parameter, and required process data and single datum just can be directly obtained by statistical rules.It can be by enterprise
Statistical rules is set, and single datum is generated according to statistical rules and is checked for the manager of enterprise, grasps Production development in real time.
Judge whether single datum is above standard data by data analysis module, when being more than, illustrate single products at
Originally exceeded range is come into, single datum is labeled as exceeded data at this time.By showing exceeded data, manager can
Get information about it is exceeded to same day single products cost, to remind manager to pay attention to the management to production process.
Further, the data analysis module is also used to according to the corresponding process data of exceeded data acquisition as exceeded
Process data.
The utility model has the advantages that according to the corresponding process data of exceeded data acquisition as exceeded process data, manager can be by
Check corresponding data, and then judge to be which link goes wrong in production process so that final single products at
This is exceeded, therefore saves on manager and checks each link many multidata times, faster finds problem link, and then solved
Certainly.
Further, the data analysis module, is also used to obtain normal process data, and according to normal process data from super
Exceeded item is filtered out in mark process data.
Noun illustrates: normal process data is the acceptable cost price of parameters type of enterprise's setting.
It is more than mark by numerical value in exceeded process data the utility model has the advantages that comparing exceeded process data by normal process data
The parameter type of quasi- process data is as exceeded item, and manager can intuitively be the discovery which cost is exceeded, such as manpower
Cost be exceeded item, then the reason is that manually arrange it is unreasonable etc., such as material cost be exceeded item, then the reason is that substandard product
Excessively or supply and marketing quotient floats for commodity price, thus reduces the workload that manager screens exceeded item, manager is use up
Fast link of finding the problem, and then handled in time, to reduce the loss of enterprise.
Further, the data analysis module is also used to mark single datum when single datum is more than target data
To severely exceed data.
The utility model has the advantages that illustrating that same day single products cost is excessively high when single datum exceeds target data, alreading exceed
The standard of enterprise, at this time by the single datum labeled as severe overweight data.Manager's even business survey is needed to produce
Journey finds out the main reason for single products cost is exceeded, is convenient for the timely processing cost abnormal problem of manager, to guarantee subsequent life
The cost of production process restores normal.
Further, the data transmission module, be also used to get parms actual information while, obtain target data and mark
Quasi- data, and it is sent to data analysis module.
The utility model has the advantages that target data and normal data are obtained while getting parms actual information, due to parameter reality
Information is uploaded daily by data picker, and target data and normal data can be set according to same day situation, such as same day material
Expect that purchasing price is excessively high, then raises target data and normal data, thus more accurately identify exceeded data and severe overweight
Data.
Further, the data transmission module is also used to obtain target data and normal data, and is stored in database
In.
The utility model has the advantages that target data and normal data are stored in the database by manager, data analysis module directly from
It obtains in database, is inputted daily without data picker or manager, save the time, also avoid manually repeatedly causing data defeated
The situation for entering mistake occurs.
The invention is intended to provide a kind of cost optimization management method, include the following steps,
Data acquisition step, get parms actual information；
Data generation step obtains statistical rules, according to parameter actual information and statistical rules generating process data, and root
Single datum is generated according to process data；
Data analysis step obtains normal data, and when single datum exceeds normal data, single datum is labeled as
Exceeded data.
The utility model has the advantages that by data acquisition step, acquisition parameter actual information, and automatically generated by data generation step
Process data and single datum analyze cost convenient for subsequent.Exceed standard in single datum by data analysis step
When data, single datum is labeled as exceeded data, administrator has found cost abnormal problem by exceeded data in time.
Further, the data analysis step is further comprising the steps of, according to the corresponding exceeded process of exceeded data acquisition
Data, and normal process data is obtained, exceeded item is filtered out from exceeded process data according to normal process data.
The utility model has the advantages that by data analysis step according to the corresponding exceeded process data of exceeded data screening, and according to mesh
Mark process data filters out exceeded item from exceeded process data.When there is single datum beyond target data, manager is needed
Find out the main reason for single products cost is exceeded.The main reason for exceeded item is exceeded is the manager mainly side of investigation
To, and need the link of control emphatically.By filtering out exceeded item, save the time of manager's investigation, convenient for manager and
When processing cost abnormal problem.
Further, the also described data analysis step is further comprising the steps of, will be single when single datum is more than target data
Item data is labeled as severe overweight data.
The utility model has the advantages that target data is to severely exceed line, exist on the day of single datum exceeds target data, that is, illustrates tight
The cost excessive problem of weight.Manager even should investigate production link with enterprise, and processing cost is abnormal in time
Problem, to guarantee that the cost of subsequent production process restores normal.
Further, the target data and normal data are retrieved as acquisition while getting parms actual information, or
Person obtains from database.
The utility model has the advantages that using get parms actual information while obtain target data and normal data, can be more acurrate
The exceeded data of label and severely exceed data, using target data and normal data is obtained from database, number can be reduced
Target data and normal data are all uploaded daily according to picker or manager, and then reduces the probability for uploading corrupt data, are also saved
Save more data acquisition times.
Detailed description of the invention
Fig. 1 is the logic diagram of cost optimization management system embodiment two of the present invention；
Fig. 2 is process of the cost optimization management method embodiment binary signal judgment step of the present invention to comparison Optimization Steps
Figure；
Fig. 3 is the logic diagram of cost optimization management system embodiment three of the present invention；
Fig. 4 is process of three data analysis step of cost optimization management method embodiment of the present invention to exceeded statistic procedure
Figure；
Fig. 5 is process of the three signal judgment step of cost optimization management method embodiment of the present invention to performance statistic procedure
Figure.
Specific embodiment
It is further described below by specific embodiment:
Embodiment one
Cost optimization management system, including background server, setting terminal and acquisition terminal, background server include setting
Module, data transmission module, data generation module, data analysis module and database, be stored in database statistical rules and
Parameter acquisition table, statistical rules and parameter acquisition table can be set by system developer, can also be whole from setting by company manager
End input is set.In the present embodiment, statistical rules and parameter acquisition table are set by manager.
Setting terminal, for the set information that gets parms (in the present embodiment, parameter setting information include human cost,
Material cost, basic cost and other costs, wherein human cost includes work post, quantity, operating time, every hourly pay, material
Cost includes material category, consumption of materials, material unit price, and basic cost includes basic type, consumption, foundation unit price,
His cost includes cost type, cost total value) and statistical rules, and parameter setting information and statistical rules are sent to backstage and taken
Business device.
Setting module for receiving parameter setting information, and generates data acquisition tables according to parameter setting information and is stored in
Database, and for receiving statistical rules storage (in the present embodiment, statistical rules are as follows: human cost are as follows: tired in the database
Quantity × operating time × every hourly pay of each work post is counted, material cost is the consumption of materials × material for adding up every kind of material
Unit price, basic cost are to add up every kind of basic consumption × foundation unit price, other costs be add up every class cost cost it is total
Volume, totle drilling cost are human cost+material cost+basic cost+other costs).
Acquisition terminal gets parms after actual information is sent to for showing data acquisition tables, and according to data acquisition tables
Platform server, for example, the data acquisition tables of the human cost after the actual information that gets parms are as shown in Table 1.Data transmit mould
Block is sent to data generation module for receiving parameter actual information, and by parameter actual information.
Table one
Data generation module obtains statistical rules, and according to parameter reality for receiving parameter actual information from database
Border information and statistical rules generating process data (in the present embodiment, share Four processes data, respectively human cost, material
Expect cost, basic cost, other costs, such as human cost is 10 × 8 × 20+20 × 6 × 15+30 × 8 × 12=6280
Member), and statistical data is generated according to process data, statistical data is sent to setting terminal, and store in the database (at this
In embodiment, statistical data is the sum of Four processes data, i.e. totle drilling cost).
Data generation module is also used to obtain production from database, and raw according to statistical data and production
It is sent to setting terminal and data analysis module at single datum, and by single datum, and is stored in the database.Setting is eventually
End, for being shown and being checked for manager in reception single datum and statistical data.In the present embodiment, statistical data one
It total production cost, the production total amount that production is one day, total production cost are that single-piece produces divided by production
Product cost, as single datum.
Data analysis module for receiving single datum, and obtains target data, judges target data and single datum
The single datum is labeled as by numerical values recited when single datum is greater than target data (single datum exceeds target data)
Data are severely exceeded, and are sent to setting terminal.Setting terminal severely exceeds data for receiving, and is shown.
Data analysis module is also used to obtain normal data, and the numerical values recited of judgment criteria data and single datum, when
When single datum is greater than normal data (single datum exceeds normal data), which is labeled as exceeded data, is obtained
The process data for generating exceeded data is taken (in the present embodiment, to be total to there are four exceeded process data, divide as exceeded process data
Wei human cost, material cost, basic cost, other costs), and normal process data is obtained from database, comparison is super
Process data and normal process data are marked, it is (i.e. exceeded to filter out exceeded item from exceeded process data according to normal process data
Process data is greater than the link of normal process data), and exceeded data and exceeded item are sent to setting terminal.Setting terminal is used
In the exceeded data of reception and exceeded item, and shown.
There are two types of acquisition modes for target data and normal data: first is that acquisition terminal is used in the actual information that gets parms
Meanwhile obtain target data and normal data, and be sent to background server, data analysis module for receive target data and
Normal data.Second is that setting terminal, for obtaining target data and normal data, and is sent to background server, data transmission
Module stores in the database for receiving target data and normal data, and data analysis module from database for obtaining
Take target data and normal data.In the present embodiment, using the second way.
Cost optimization management method based on cost optimization management system, comprising the following steps:
Rule settings step, get parms set information and statistical rules, generates data acquisition according to parameter setting information
Table, in the database by parameter setting information, data acquisition tables, statistical rules storage, parameter setting information are manager's requirement
Parameter that data picker fills in, the parameter for requiring sensor or existing equipment to acquire, statistical rules are to be believed according to parameter setting
The algorithm that can be generated, the function filled in similar Excel are ceased, parameter setting information can be set as needed in company manager
And the statistical rules of result is calculated according to parameter setting information.
Data acquisition step obtains data acquisition tables from database, and is got parms practical letter according to data acquisition tables
Breath, parameter actual information includes human cost (work post, quantity, operating time, every hourly pay), material cost (material category, material
Expect consumption, material unit price), basic cost (basic type, consumption, foundation unit price), other cost (cost types, cost
Total value).Acquisition modes have following three kinds: first is that data picker is manually entered by acquisition terminal；Second is that setting sensor is whole
End, passes through sensor automatic collection；Third is that being connect with existing equipment signal, directly acquired from existing equipment.In the present embodiment
In, human cost and other costs are obtained using first way, and material cost is obtained using the second way, and basic cost is adopted
It is obtained with the third mode (for example, human cost passes through acquisition by manager or data picker by the way of being manually entered
Terminal uploads, and material cost acquires weight data by sensor, obtains consumption of materials automatically, basic cost using with it is existing
The mode of device signal connection directly obtains corresponding consumption from ammeter, water meter, gas meter), certainly, data picker and pipe
Reason person can also pass through first way supplementary material cost and basic cost.
Data generation step obtains statistical rules, according to parameter actual information and statistical rules generating process data, due to
Parameter actual information is obtained according to data acquisition tables, can be directly substituted into generating process data in statistical rules, cumulative process
Data calculate statistical data and (in the present embodiment, share Four processes data, respectively human cost, material cost, basis
Cost, other costs, such as human cost are member, and statistical data is human cost, material cost, basic cost, other costs
The sum of, as the same day production cost).Production is obtained from database, and is calculated according to production and statistical data
Single datum.
Data analysis step obtains target data from database, and when single datum exceeds target data, by individual event
Data markers are to severely exceed data；Normal data is obtained from database, and when single datum exceeds normal data, it will be single
Item data is labeled as exceeded data, and according to the corresponding exceeded process data of exceeded data acquisition, and mark is obtained from database
Quasi- process data filters out exceeded item according to normal process data from exceeded process data.
Data displaying shows that single datum or severe overweight data or exceeded data, exceeded item are checked for manager.
Embodiment two
The present embodiment and embodiment one the difference is that: as shown in Fig. 1, background server further includes optimization mould
Block, optimization module include autoanalysis acquisition submodule, autoanalysis screening submodule, autoanalysis comparison submodule, comparison
Analyze acquisition submodule, comparative analysis screening submodule, comparative analysis comparison submodule.
Setting terminal for obtaining self-optimization signal and analysis quantity, and is sent to background server.Optimization module is used
After receiving self-optimization signal and analysis quantity, autoanalysis acquisition submodule is used to receive analysis quantity, and according to analysis
Temporally inverted order obtains several single datums identical with analysis quantity to quantity from database, and single datum is sent to certainly
My Analysis and Screening submodule.In the present embodiment, since measurement period is one day, if current date is on June 16th, 2019, point
Analysing quantity is 10, then the individual event number that the single datum obtained generates daily between on June 15,6 days to 2019 June in 2019
According to.
Autoanalysis screening submodule is used to successively compare the size of single datum, obtains the smallest single datum of numerical value and makees
For optimal data, and corresponding process data is screened as optimal process data from database according to optimal data, and
It is sent to autoanalysis comparison submodule.If the single datum generated daily between on June 15,6 days to 2019 June in 2019
Respectively 577 yuan, 552 yuan, 566 yuan, 584 yuan, 573 yuan, 599 yuan, 580 yuan, 579 yuan, 587 yuan, 563 yuan, then numerical value is minimum
Single datum be 552 yuan, i.e., 552 yuan be optimal data, corresponding process data be optimal process data.
Autoanalysis compares submodule, for obtaining the process data for generating current single datum as active procedure number
According to, and optimal process data and current process data are compared, numerical value in current process data is greater than to the mark of optimal process data
It is denoted as self-optimization item, and self-optimization item is sent to setting terminal and is shown.I.e. current single datum is in June, 2019
Single datum on the 16th, current process data is the corresponding process data of current single datum, if current process data is respectively
127 yuan (human cost), 380 yuan (material cost), 68 yuan (basic cost), 27 yuan (other costs), optimal process data point
Not Wei 125 yuan (human cost), 330 yuan (material cost), 70 yuan (basic cost), 27 yuan (other costs), that is, mark from
It is human cost and material cost that I, which optimizes item,.
Manager finds out corresponding cost problem according to self-optimization item, such as material cost is self-optimization item, be because
Be supply and marketing quotient for commodity price float, product of still failing is excessive, convenient for manager for different cost problems in time into
Row analysis and processing.
Setting terminal for obtaining comparison optimization signal and analysis group class, and is sent to background server.Optimization module is used
After receiving comparison optimization signal and analysis group class, comparative analysis acquisition submodule is used to receive analysis quantity, and according to analysis
Group class obtains several single datums of corresponding production group from database, and single datum is sent to comparative analysis screening submodule
Block.In the present embodiment, since measurement period is one day, if current date is on June 16th, 2019, analysis group class is 1-10,
Then obtain the single datum for the production group that on June 16th, 2019, number was 1-10.
Size of the submodule for the successively single datum of more each production group is screened in comparative analysis, and it is minimum to obtain numerical value
Single datum corresponding process data is screened from database as optimal as optimal data, and according to optimal data
Process data, and it is sent to comparative analysis comparison submodule.If the individual event number for the production group that on June 16th, 2019, number was 1-10
According to respectively 577 yuan, 552 yuan, 566 yuan, 584 yuan, 573 yuan, 599 yuan, 580 yuan, 579 yuan, 587 yuan, 563 yuan, then numerical value is most
Small single datum is 552 yuan, i.e., 552 yuan are optimal data, and corresponding production group is the production line of number 2, i.e., number is 2
The process data in production group on June 16th, 2019 be optimal process data.
Comparative analysis compares submodule, for obtaining the process data of this production group as current process data, and compares
The label that numerical value in current process data is greater than optimal process data is excellent by optimal process data and current process data
Change item, and comparison optimization item is sent to setting terminal and is shown.I.e. current single datum is this production group June 16 in 2019
The single datum of day, current process data is the corresponding process data of current single datum, if current process data is respectively 127
First (human cost), 380 yuan (material cost), 68 yuan (basic cost), 27 yuan (other costs), optimal process data are respectively
125 yuan (human cost), 330 yuan (material cost), 70 yuan (basic cost), 27 yuan (other costs), that is, the comparison marked is excellent
Changing item is human cost and material cost.
Manager finds out corresponding cost problem according to comparison optimization item, such as material cost is comparison optimization item, be because
For floating for commodity price for supply and marketing quotient, product of still failing is excessive, since the process data of the production group of comparison is on the same day
Data, then its supply and marketing quotient be for commodity price it is identical, then the reason of leading to the cost problem is more that product of failing is excessive,
Manager should increase to the personal management in production process, improve product quality, reduce substandard product.
Cost optimization management method based on cost optimization management system, as shown in Fig. 2, comprising the following steps:
Signal judgment step obtains autoanalysis signal or comparative analysis signal, if getting autoanalysis signal, into
Enter self-optimization step, if getting comparative analysis signal, enters comparison Optimization Steps.
Self-optimization step obtains analysis quantity, and obtains several single datums according to analysis quantity, successively judges individual event
The size of data filters out the smallest single datum of numerical value as optimal data, filters out the process data for generating optimal data
As optimal process data, the process data for generating current single datum is obtained as current process data, and compares optimal mistake
The label that numerical value in current process data is greater than optimal process data is item by number of passes evidence and current process data.
Optimization Steps are compared, analysis group class is obtained, and several single datums are obtained according to analysis group class, successively judges individual event
The size of data filters out the smallest single datum of numerical value as optimal data, filters out the process data for generating optimal data
As optimal process data, obtain the process data of this production group as current process data, and compare optimal process data and
The label that numerical value in current process data is greater than optimal process data is optimization item by current process data.
Data displaying shows that self-optimization item and/or comparison optimization item are checked for manager.
Embodiment three
The tightness and management method managed between different managers is different, in order to promote manager aggressive
Thinking management method, improve management quality, the wage of manager or production group and cost abnormal problem linked up with, to promote
The staff of production group actively improves product quality, and manager is promoted to reinforce the management to product cost in production process.
The present embodiment and embodiment two the difference is that: as shown in Fig. 3, background server further includes exceeded statistics
Module, performance adjust module and performance statistical module, are stored with normal data, normal process data, performance ratio in database,
Normal data is the standard price or the acceptable cost of highest of the single products cost of enterprise's setting；Normal process data is enterprise
The cost of the acceptable links of industry setting；Performance ratio is the accounting between each production link of enterprise's setting.
Data analysis module, for exceeded item to be sent to exceeded statistical module.Exceeded statistical module, it is exceeded for receiving
, and exceeded statistical form (exceeded statistical form includes exceeded item and exceeded quantity) is screened from database, it is exceeded when not screening
When statistical form, exceeded statistical form is generated according to exceeded item, when screening exceeded statistical form, exceeded statistics is updated according to exceeded item
Table, and in the database by the storage of exceeded statistical form.When exceeded item is human cost and material cost, the exceeded statistics of generation
Table is as shown in Table 2.
Table two
Setting terminal is sent to background server for obtaining performance statistical signal and performance period.Performance adjusts module
After receiving performance statistical signal, performance ratio and exceeded statistical form are obtained from database, and according in exceeded statistical form
The exceeded quantity of exceeded item adjusts performance ratio (exceeded quantity is bigger, and the weight of corresponding exceeded item is bigger), and will adjustment
Performance ratio afterwards is sent to performance statistical module, and updates performance ratio in the database.
Performance statistical module obtains in the corresponding time for receiving performance period and performance ratio, and according to performance period
Several process datas and production, cumulative process data simultaneously obtain performance process data divided by production, according to performance
The scoring of process data generating process, and Performance Rating is generated according to process scoring and performance ratio, and Performance Rating is sent to
Setting terminal.Setting terminal is shown for receiving Performance Rating.Using Performance Rating as one of manager in performance period
A performance assessment criteria, or directly linked up with money wages etc., promote manager to improve management quality.If performance period is 2019
May 31 1 day to 2019 May, then obtain every day in May process data added up after Four processes number
According to if Four processes data are respectively 5050 yuan, 81560 yuan, 1560 yuan, 1660 yuan, production adds up to be 100, then achievement
Imitating process data is respectively 50.5 yuan, 815.6 yuan, 15.6 yuan, 16.6 yuan.Divided with full marks 10 for total score, if the mistake thus generated
Journey scoring is respectively 8.3 points, 9 points, 8.8 points, 7.9 points, and performance ratio is 1:5:3:1, then Performance Rating is 8.3/ (1+5+3+1)
× 1+9/ (1+5+3+1) × 5+8.8/ (1+5+3+1) × 3+87.9/ (1+5+3+1) × 1=8.76 points.
Cost optimization management method based on cost optimization management system, further comprising the steps of as shown in attached drawing 4,5:
Exceeded statistic procedure obtains exceeded item, and exceeded statistical form is screened from database, when not screening exceeded statistics
When table, exceeded statistical form is generated according to exceeded item, when screening exceeded statistical form, exceeded statistical form is updated according to exceeded item.
Signal judgment step, when judging received signal for performance statistical signal, into performance set-up procedure.
Performance set-up procedure obtains performance ratio and exceeded statistical form, and adjusts performance ratio, root according to exceeded statistical form
Increase the weight of corresponding exceeded item according to exceeded quantity.
Performance statistic procedure, obtains performance period and performance ratio adjusted, and according to performance period obtain to it is corresponding when
In several process datas and production, cumulative process data and production respectively, after adding up process data and divided by
Production obtains performance process data after cumulative, is scored according to performance process data generating process, and according to process scoring and
Performance ratio generates Performance Rating.
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. cost optimization management system, including background server, it is characterised in that: the background server includes
Data transmission module, for the actual information that gets parms；
Data generation module, for obtaining statistical rules, and according to parameter actual information and statistical rules generating process data, and
Single datum is generated according to process data；
Single datum is labeled as by data analysis module for obtaining normal data, and when single datum exceeds normal data
Exceeded data.
2. cost optimization management system according to claim 1, it is characterised in that: the data analysis module is also used to
According to the corresponding process data of exceeded data acquisition as exceeded process data.
3. cost optimization management system according to claim 2, it is characterised in that: the data analysis module is also used to
Normal process data is obtained, and exceeded item is filtered out from exceeded process data according to normal process data.
4. cost optimization management system according to claim 1-3, it is characterised in that: the data analyze mould
Block is also used to when single datum is more than target data, by single datum labeled as severe overweight data.
5. cost optimization management system according to claim 4, it is characterised in that: the data transmission module is also used to
Get parms actual information while, obtain target data and normal data, and be sent to data analysis module.
6. cost optimization management system according to claim 4, it is characterised in that: the data transmission module is also used to
Target data and normal data are obtained, and is stored in the database.
7. cost optimization management method, it is characterised in that: include the following steps,
Data acquisition step, get parms actual information；
Data generation step obtains statistical rules, according to parameter actual information and statistical rules generating process data, and according to mistake
Number of passes is according to generation single datum；
Data analysis step obtains normal data, and when single datum exceeds normal data, by single datum labeled as exceeded
Data.
8. cost optimization management method according to claim 7, it is characterised in that: the data analysis step further include with
Lower step according to the corresponding exceeded process data of exceeded data acquisition, and obtains normal process data, according to normal process data
Exceeded item is filtered out from exceeded process data.
9. cost optimization management method according to claim 7 or 8, it is characterised in that: the data analysis step is also wrapped
Following steps are included, when single datum is more than target data, by single datum labeled as severe overweight data.
10. cost optimization management method according to claim 9, it is characterised in that: the target data and normal data
Be retrieved as acquisition while getting parms actual information, or obtained from database.
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