CN110288246A - Refine Cost Analysis System and method - Google Patents

Refine Cost Analysis System and method Download PDF

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CN110288246A
CN110288246A CN201910577648.8A CN201910577648A CN110288246A CN 110288246 A CN110288246 A CN 110288246A CN 201910577648 A CN201910577648 A CN 201910577648A CN 110288246 A CN110288246 A CN 110288246A
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龚量亮
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Chongqing Information Technology Co Ltd Clip
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Abstract

The present invention relates to the real-time analysis field of cost, specially a kind of fining Cost Analysis System and method, which includes parameter acquisition module, for the actual information that gets parms;Data statistics module, for generating statistical data according to parameter actual information and statistical rules;Data generation module, for generating single datum according to production and statistical data.This approach includes the following steps, rule settings step, the set information that gets parms, measurement period and statistical rules, and generates data acquisition tables;Parameters acquiring procedure, get parms actual information, and obtains production;Data statistics step generates statistical data according to parameter actual information, measurement period and statistical rules;Data generation step generates single datum according to statistical data and production.The cost that same day single products can be calculated automatically according to the data of acquisition using this programme, helps to find accidental cost abnormal problem in time.

Description

Refine Cost Analysis System and method
Technical field
The present invention relates to the real-time analysis field of cost, specially a kind of fining Cost Analysis System and method.
Background technique
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.
Summary of the invention
The invention is intended to provide a kind of fining Cost Analysis System, the same day can be calculated automatically according to the data of acquisition The cost of single products helps to find accidental cost abnormal problem in time.
The present invention provides base case: fining Cost Analysis System, including background server, the background server packet It includes
Parameter acquisition module, for being got parms actual information according to data acquisition tables;
Data statistics module, for generating statistical data according to parameter actual information and statistical rules;
Data generation module generates single datum for obtaining production, and according to production and statistical data.
Noun illustrates: parameter actual information is the real data obtained;Statistical data is intraday totle drilling cost;Production is total Amount is the product population of Tian Nei enterprise production;Single datum is the cost of automatic calculated single products.
The working principle and beneficial effect of base case: statistical rules can prestore for system developer, can also be by Company manager's setting prestores, and production can be filled in manually, and is also possible to the production obtained automatically during automated production Product quantity.According to being manually entered, sensor acquisition or directly get parms from existing equipment actual information, identical product or phase Production cost type like product is identical, and statistical rules is also similar, therefore can calculate system according to the statistical rules prestored It counts, i.e. the totle drilling cost on the same day.
On the day of learning totle drilling cost and on the day of production in the case where, share equally and obtain single products cost, is i.e. individual event number According to.By parameter actual information and statistical rules, same day cost is calculated automatically, grasps production cost in real time convenient for manager, Cost is calculated in a manner of day, helps to find accidental cost abnormal problem in time.
Further, the background server further includes setting module, for set information and the statistical rules of getting parms, and Data acquisition tables are generated to be stored.
Noun illustrates: parameter setting information is that manager requires the parameters obtained, including parameter type, parameter name Claim;Statistical rules is the formula or algorithm that respective process data, statistical data, single datum are found out according to parameter setting information.
The utility model has the advantages that the parameter and statistical rules that obtain freely are set by company manager, such as parameter type can be set For four classes: human cost, material cost, basic cost and other costs, wherein human cost includes four parameters, parameter name For work post, quantity, operating time, every hourly pay, material cost includes three parameters, and parameter name is material category, material disappears Consumption, material unit price, basic cost include three parameters, and parameter name is basic type, consumption, foundation unit price, other at This includes two parameters, and parameter name is cost type, cost total value.Statistical rules are as follows: human cost are as follows: add up each work post Quantity × operating time × every hourly pay, material cost is to add up the consumption of materials of every kind of material × material unit price, basis Cost is to add up every kind of basic consumption × foundation unit price, other costs are to add up the cost total value of every class cost, totle drilling cost For human cost+material cost+basic cost+other costs.The mode that parameter obtains can be to be filled in manually, and be set according to parameter Determine information and generate data acquisition tables, clearly requires the data of acquisition and the content filled in convenient for data picker, be also convenient for counting Rule carries out data calculating.
It further, further include setting terminal, for inputting parameter setting information, statistical rules and measurement period for manager It is sent to background server, and for showing statistics and single datum.
The utility model has the advantages that manager of the setting terminal for enterprise uses, manager needs to set by setting terminal input Parameter setting information, statistical rules and measurement period, and for show statistics it is intuitive for manager with single datum Check the data in various production processes.
It further, further include acquisition terminal, for showing data acquisition tables, and the parameter that will be acquired according to data acquisition tables Actual information is sent to background server.
The utility model has the advantages that acquisition terminal is used for data picker, data picker fills in various need by acquisition terminal The data to be manually entered are counted convenient for subsequent statistical rule according to corresponding rule according to data acquisition tables acquisition parameter According to calculating.
Further, the background server further includes
Data analysis module for obtaining the single datum of different measurement periods, and is screened out from it the smallest list of numerical value The measurement period of item data is as optimal period;
Optimize pushing module, for screening parameter actual information, process data, statistical data and individual event in optimal period Data-pushing is to manager.
The utility model has the advantages that the cost that manager when being managed, not only needs to find and solved in production process in time is different Chang Wenti also needs the variation tendency of monitoring cost, constantly optimizes production process, to reach the mesh for improving quality, reducing cost 's.Using every day as measurement period, for 30 days one month, such as the single datum that one middle of the month of acquisition is daily, that is, it obtains The variation tendency of single products cost daily in 30 days can be with since the quality of enterprise product is to have as defined in standard Think that the quality of product in 30 days is essentially identical, i.e., by 30 single datums of comparison, finds out the smallest single datum of numerical value, just It can be by the way that the corresponding parameter actual information of the single datum, process data, statistical data be analyzed and are learnt, to reduce life Cost is produced, brings bigger profit for enterprise.Since the single datum of comparison is the historical data of itself, it is easier to be analyzed Study.
Further, the background server further includes
Data analysis module for obtaining the single datum of each production group in same measurement period, and is screened out from it The production group of the smallest single datum of numerical value is as optimal group;
Optimize pushing module, for according to parameter actual information, process data, statistical data and the list for screening optimal group Item data is pushed to remaining production group.
The utility model has the advantages that a manufacturing enterprise, the production line more than one of like products, with a production line for one A production group compares the single datum of different production lines on the same day, also due to the quality of its enterprise product is that have standard rule Fixed, therefore need to only learn the smallest single datum of numerical value, it just can find the minimum production group of same day single products cost, study The knowhow of the production group brings bigger profit to reduce production cost for enterprise.
The invention is intended to also provide a kind of fining Cost Analysis Method, include the following steps,
Rule settings step, the set information that gets parms, measurement period and statistical rules, and generate data acquisition tables;
Parameters acquiring procedure gets parms actual information according to data acquisition tables, and obtains production;
Data statistics step, according to parameter actual information, measurement period and statistical rules generating process data, and according to mistake Number of passes is according to generation statistical data;
Data generation step generates single datum according to statistical data and production.
The utility model has the advantages that being got parms set information, measurement period and statistical rules by rule settings step, it is convenient for Data statistics and analysis in production process.
It is further, further comprising the steps of,
Data analysis step successively obtains the single datum of different measurement periods, the size of single datum is judged, until obtaining Access is worth the smallest single datum as optimal data;
Data-pushing step obtains parameter actual information, process data, the system of corresponding measurement period according to optimal data It counts and is pushed to manager with single datum.
The utility model has the advantages that filtering out one day optimal number of conduct that production cost controls best according to the historical data of itself According to the corresponding parameter actual information of optimal data, process data, statistical data and single datum are analyzed and are learnt, is mentioned Rise the quality of production control of itself.
It is further, further comprising the steps of,
Data analysis step successively obtains the single datum of different production groups, judges the size of single datum, until obtaining The smallest single datum of numerical value is as optimal data;
Data-pushing step obtains parameter actual information, the process data, statistics of corresponding production group according to optimal data Data and single datum are pushed to manager.
The utility model has the advantages that comparing the single datum of different production groups, the production group that production cost is controlled best is as most Excellent data are analyzed and are learned to the corresponding parameter actual information of optimal data, process data, statistical data and single datum It practises, learns the knowhow of other production groups, promote self, and motivate the learning object for oneself becoming other production groups.
Further, get parms in the parameters acquiring procedure actual information mode be manually entered, terminal acquisition and It is obtained from existing equipment one such.
The utility model has the advantages that the acquisition of parameter can be selected according to the actual situation, such as the consumption of water, electricity and gas can be existing It is directly acquired in equipment, such as the consumption of material can directly be acquired by the sensor of terminal, thus data be avoided to acquire Person fills in data daily, works many and diverse.
Detailed description of the invention
Fig. 1 is the logic diagram of present invention fining Cost Analysis System embodiment one.
Fig. 2 is the flow chart of present invention fining Cost Analysis Method embodiment one.
Fig. 3 is the logic diagram of present invention fining Cost Analysis System embodiment three.
Fig. 4 is process of the present invention fining three data screening step of Cost Analysis Method embodiment to data-pushing step Figure.
Specific embodiment
It is further described below by specific embodiment:
Embodiment one
Cost Analysis System is refined, as shown in Fig. 1, including setting terminal, acquisition terminal and background server, backstage Server includes database, setting module, parameter acquisition module, data statistics module and data generation module, is deposited in database Production is contained, production is the quantity of qualified products, i.e., is finally capable of the product quantity of outbound.The acquisition of production Mode has following three kinds: first is that data picker passes through acquisition terminal while acquisition parameter actual information, acquisition production is total Amount;Second is that production process is full-automatic production line, production can be obtained by production line automatically, third is that in production line Upper setting sensor acquires production by sensor, obtains production using first way in the present embodiment, and In the database by production storage.
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), statistical rules and measurement period (in the present embodiment, measurement period is one day), And parameter setting information, statistical rules and measurement period are sent to background server.
Setting module for receiving parameter setting information, and generates data acquisition tables according to parameter setting information and is stored in Database, and for receive statistical rules and measurement period and store in the database (in the present embodiment, statistical rules are as follows: Human cost are as follows: add up quantity × operating time × every hourly pay of each work post, material cost is the material for adding up every kind of material Expect consumption × material unit price, basic cost is to add up every kind of basic consumption × foundation unit price, other costs are accumulative every The cost total value of class cost, 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.Parameter obtains mould Block is sent to data statistics module for receiving parameter actual information, and by parameter actual information.
Table one
Data statistics 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 data generation module and setting terminal, and store (in the present embodiment, statistical data is the sum of Four processes data, i.e. totle drilling cost) in the database.
Data generation module for receiving statistical data, and obtains production from database, and according to statistical data Single datum is generated with production, and single datum is sent to setting terminal, and store in the database.Setting terminal, For being shown and being checked for manager in reception single datum and statistical data.In the present embodiment, statistical data is one day Total production cost, production is one day production total amount, and total production cost is single products divided by production Cost, as single datum.
Based on the fining Cost Analysis Method of fining Cost Analysis System, as shown in Fig. 2, comprising the following steps:
Rule settings step, the set information that gets parms, measurement period and statistical rules are generated according to parameter setting information Data acquisition tables, in the database by parameter setting information, data acquisition tables, statistical rules, measurement period storage, parameter setting Information is the parameter that manager requires data picker to fill in, the parameter for requiring sensor or existing equipment to acquire, statistical rules For the algorithm that can be generated according to parameter setting information, similar to the function filled in Excel, company manager can be as needed Setup parameter set information and the statistical rules that result is calculated according to parameter setting information.
Parameters acquiring procedure 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 statistics step, according to parameter actual information, statistical rules and measurement period 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 (in the present embodiment, share Four processes data, respectively human cost, material cost, basis at Originally, other costs, such as human cost are 10 × 8 × 20+20 × 6 × 15+30 × 8 × 12=6280 member, and statistical data is behaved The sum of power cost, material cost, basic cost, other costs, as same day production cost).
Data generation step obtains production from database, and calculates list according to production and statistical data Item data.Data displaying shows statistics and checks with single datum for manager.
Embodiment two
Manager in addition to needing to grasp daily single products cost in production process in real time, should also grasp single products at This variation tendency, and the variation tendency of single products cost is analyzed, convenient for while ensuring quality, reduce at This, to create bigger profit.
The present embodiment and embodiment one the difference is that;Background server further includes data screening module, data point Module is analysed, marks storage time while storing single datum, process data, statistical data and parameter actual information.
Setting terminal is also used to obtain self-optimization signal and analysis quantity, and is sent to background server.Data screening Module is for receiving self-optimization signal with after analysis quantity, and according to analysis quantity, temporally inverted order obtains and divides from database The identical several single datums of quantity are analysed, and single datum is sent to data analysis module.In the present embodiment, due to statistics Period is one day, if current date is on June 16th, 2019, analysis quantity is 10, then the single datum obtained is in June, 2019 The single datum generated daily between on June 15th, 6 days 1.
Data analysis module successively compares single datum for received quantity single datum identical with analysis quantity Size obtains the smallest single datum of numerical value, and using the corresponding measurement period of the single datum as optimal period.If 2019 The single datum generated daily between June 15 6 days to 2019 June is respectively 577 yuan, 552 yuan, 566 yuan, 584 yuan, 573 Member, 599 yuan, 580 yuan, 579 yuan, 587 yuan, 563 yuan, then the smallest single datum of numerical value is 552 yuan, corresponding measurement period For on June 7th, 2019, i.e. on June 7th, 2019 was optimal period.
Data analysis module is also used to the parameter actual information screened in optimal period according to optimal period, crosses number of passes According to, statistical data and single datum, and be sent to setting terminal, setting terminal for receive parameter actual information, process data, Statistical data and single datum, and shown and checked for manager.
It is further comprising the steps of based on the fining Cost Analysis Method of fining Cost Analysis System:
Data screening step, after obtaining self-optimization signal and analysis quantity, according to self-optimization signal from database Screen quantity single datum identical with analysis quantity.
Data analysis step: the numerical values recited of the single datum filtered out in data screening step is successively judged, until obtaining Access is worth the smallest single datum, as optimal data.
Data-pushing step obtains corresponding measurement period according to optimal data, is obtained from database according to measurement period Parameter actual information, process data, statistical data and single datum is taken to be pushed to manager.
Embodiment three
In manufacturing enterprise, an often like products not only production line, manager has been between different production lines Difference, there is also differences for the data of production process.Therefore the life in addition to manager in addition to analyzing the production line oneself managed It produces outside data, should also analyze the creation data of other production lines, use for reference the knowhow of the outstanding production line of creation data.With every Production line is production group, and every production line is equipped with unique production group class, that is, numbers.
The present embodiment and embodiment two the difference is that: as shown in Fig. 3, it is excellent that setting terminal is also used to obtain comparison Change signal and analysis group class, and is sent to background server.Data screening module is for receiving comparison optimization signal and analysis group After class, several single datums of corresponding production group are obtained from database according to analysis group class, and single datum is sent to number According to analysis module.In the present embodiment, since measurement period is one day, if current date is on June 16th, 2019, analysis group class For 1-10, then the single datum for the production group that on June 16th, 2019, number was 1-10 is obtained.
Data analysis module is used to receive the single datum of each production group, and successively compares the size of single datum, obtains Access is worth the smallest single datum, and using the corresponding production group of the single datum as optimal group.If on June 16th, 2019 compiles It number is respectively 577 yuan, 552 yuan, 566 yuan, 584 yuan, 573 yuan, 599 yuan, 580 yuan, 579 for the single datum of production group of 1-10 Member, 587 yuan, 563 yuan, then the smallest single datum of numerical value is 552 yuan, and corresponding production group is the production line of number 2, that is, is compiled It number is optimal group for 2 production group.
Data analysis module is also used to screen corresponding parameter actual information, process data, statistical number according to optimal group According to and single datum, and be sent to setting terminal, setting terminal is for receiving parameter actual information, process data, statistical data And single datum, and shown and checked for manager.
Fining Cost Analysis Method based on fining Cost Analysis System further includes as shown in Fig. 4 following step It is rapid:
Data screening step, after obtaining comparison optimization signal and analysis group class, according to comparison optimization signal from database Screen several single datums corresponding with analysis group class.
Data-pushing step obtains corresponding production group according to optimal data, obtains ginseng from database according to production group Number actual information, process data, statistical data and single datum are pushed to manager.
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. refining Cost Analysis System, including background server, it is characterised in that: the background server includes
Parameter acquisition module, for being got parms actual information according to data acquisition tables;
Data statistics module, for generating statistical data according to parameter actual information and statistical rules;
Data generation module generates single datum for obtaining production, and according to production and statistical data.
2. fining Cost Analysis System according to claim 1, it is characterised in that: the background server further includes setting Cover half block for set information and the statistical rules of getting parms, and generates data acquisition tables and is stored.
3. fining Cost Analysis System according to claim 2, it is characterised in that: further include setting terminal, for supplying Manager inputs parameter setting information, statistical rules and measurement period and is sent to background server, and for showing statistics And single datum.
4. fining Cost Analysis System according to claim 1, it is characterised in that: further include acquisition terminal, for showing Registration is sent to background server according to acquisition tables, and by the parameter actual information acquired according to data acquisition tables.
5. fining Cost Analysis System according to claim 4, it is characterised in that: the background server further includes number According to analysis module, for obtaining the single datum of different measurement periods, and it is screened out from it the system of the smallest single datum of numerical value The period is counted as optimal period;
Optimize pushing module, for screening parameter actual information, process data, statistical data and single datum in optimal period It is pushed to manager.
6. fining Cost Analysis System according to claim 4, it is characterised in that: the background server further includes number According to analysis module, for obtaining the single datum of each production group in same measurement period, and it is the smallest to be screened out from it numerical value The production group of single datum is as optimal group;
Optimize pushing module, for according to parameter actual information, process data, statistical data and the individual event number for screening optimal group According to being pushed to remaining production group.
7. refining Cost Analysis Method, it is characterised in that: include the following steps,
Rule settings step, the set information that gets parms, measurement period and statistical rules, and generate data acquisition tables;
Parameters acquiring procedure gets parms actual information according to data acquisition tables, and obtains production;
Data statistics step, according to parameter actual information, measurement period and statistical rules generating process data, and according to number of passes excessively According to generation statistical data;
Data generation step generates single datum according to statistical data and production.
8. fining Cost Analysis Method according to claim 7, it is characterised in that: it is further comprising the steps of,
Data analysis step successively obtains the single datum of different measurement periods, judges the size of single datum, until obtaining number It is worth the smallest single datum as optimal data;
Data-pushing step obtains parameter actual information, the process data, statistical number of corresponding measurement period according to optimal data Manager is pushed to according to single datum.
9. fining Cost Analysis Method according to claim 7, it is characterised in that: it is further comprising the steps of,
Data analysis step successively obtains the single datum of different production groups, judges the size of single datum, until obtaining numerical value The smallest single datum is as optimal data;
Data-pushing step obtains parameter actual information, the process data, statistical data of corresponding production group according to optimal data Manager is pushed to single datum.
10. the fining Cost Analysis Method according to any one of claim 7-9, it is characterised in that: the parameter obtains Get parms in step actual information mode be manually entered, terminal acquisition and obtained from existing equipment one such.
CN201910577648.8A 2019-06-28 2019-06-28 Refine Cost Analysis System and method Pending CN110288246A (en)

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CN113721549B (en) * 2021-08-30 2023-09-15 上汽通用五菱汽车股份有限公司 Method and system suitable for cutter cost management

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Application publication date: 20190927