CN109508358A - A kind of enterprise management efficiency Measurement Method based on composite optimization analysis - Google Patents
A kind of enterprise management efficiency Measurement Method based on composite optimization analysis Download PDFInfo
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- CN109508358A CN109508358A CN201811223358.5A CN201811223358A CN109508358A CN 109508358 A CN109508358 A CN 109508358A CN 201811223358 A CN201811223358 A CN 201811223358A CN 109508358 A CN109508358 A CN 109508358A
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Abstract
The invention discloses a kind of enterprise management efficiency Measurement Methods based on composite optimization analysis, comprising the following steps: A, acquisition enterprise operation data, the data of acquisition are pre-processed, and are removed the attribute unrelated with its, are rejected relevant high fork attribute；B, Cluster Classification is carried out to pretreated data, the enterprise operation data after obtaining Cluster Classification；C, data characteristics extraction is carried out to the data after Cluster Classification, the data after obtaining feature extraction；D, realize that enterprise management efficiency is estimated finally by Synthetic Measurement.Measurement Method of the invention is easy to operate, estimates high-efficient, improves enterprise management efficiency；Wherein, the data clusters classification method of use, which reduces, improves the utilization rate of data so that the classification of data is more accurate using the time for being manually labeled consuming to data collection；The data characteristics extracting method of use can effectively extract the feature of business data, be convenient for subsequent Synthetic Measurement.
Description
Technical field
The present invention relates to enterprise management efficiencies to estimate technical field, specially a kind of enterprise's pipe based on composite optimization analysis
Manage efficiency measure method.
Background technique
Enterprise operation and management is the key that do enterprise well.Management is management an important factor for restricting and determine the performance of enterprises
Horizontal height is critically depend on the situation of the efficiency of management, and the lower efficiency of management is difficult that enterprise is made to obtain higher income time
Report；The higher efficiency of management is generally consistent with the preferable performance of enterprises.There is big for the efficiency of management and enterprise efficiency and benefit
The positive correlation of body consistency.Therefore research business administration problem, must be placed on the efficiency of management position outstanding and give
Adequately understanding and assurance.The efficiency of management is a kind of scientific method with input-output analysis tool administration of research activities situation.Extensively
The efficiency of management of justice refers to the proportionate relationship put into management activity with output, exactly total specific to an enterprise and unit
The relationship of investment and total output.The broad sense efficiency of management and enterprise efficiency are consistent in amount, are difficult in business finance tight
Lattice are distinguished.The efficiency of management of narrow sense refers to the spent cost (referring mainly to administration fee) and brought receipts of management activity itself
The proportionate relationship of benefit.The division of the broad sense efficiency of management and the narrow sense efficiency of management is just significant only in quantitative analysis, in theory
Use is often confused in analysis.
In the environment of market economy, measuring the whether successful sole indicator of an enterprise is profit maximization.Enterprise wants
The efficiency of management for maximizing that key is enterprises to be improved is generated profit, the further big and immanent society now in competition day
Meeting, managerial economics is other than being the basic common sense of entrepreneur's indispensability, and nonbusiness circle personage also should learn and understand, to reach
The effect of To know one's own strength and the enemy's is the sure way to victory.As long as tellurian scarcity of resources problem is not resolved for one day, manager
Using the principle of managerial economics, decision more efficiently is made.
It generallys use expert currently, estimate to enterprise management efficiency and estimates technology, high labor cost estimates efficiency
It is low, therefore, it is necessary to improve.
Summary of the invention
The purpose of the present invention is to provide a kind of enterprise management efficiency Measurement Methods based on composite optimization analysis, to solve
The problems mentioned above in the background art.
To achieve the above object, the invention provides the following technical scheme: a kind of business administration based on composite optimization analysis
Efficiency measure method, the following steps are included:
A, enterprise operation data are acquired, the data of acquisition are pre-processed, and the attribute unrelated with its is removed, and are rejected relevant
High fork attribute；
B, Cluster Classification is carried out to pretreated data, the enterprise operation data after obtaining Cluster Classification；
C, data characteristics extraction is carried out to the data after Cluster Classification, the data after obtaining feature extraction；
D, realize that enterprise management efficiency is estimated finally by Synthetic Measurement.
Preferably, data clusters classification method is as follows in the step B:
A, data to be clustered are acquired, and are in N number of Sub Data Set by data cutting；
B, redundant filtration is carried out to N number of Sub Data Set, obtains Non-redundant data；
C, calculating is merged using multiple computational threads to Non-redundant data；
D, the calculated result after joint account is modified and is saved；
E, related data, i.e., the Cluster Classification of complete paired data are finally determined from Non-redundant data.
Preferably, data characteristics extracting method is as follows in the step C:
A, data set is established, multiple Sub Data Sets to feature extraction are wherein included in data set；
B, feature training is carried out to data set, obtains training pattern；
C, the first keyword and the second keyword in data set are extracted；
D, each Sub Data Set in cyclic search data set, using the first keyword and the second keyword as primary condition, antithetical phrase
Data set scans for；
E, search is matched to the first keyword or the second keyword in each Sub Data Set, then extracts to data.
Preferably, Synthetic Measurement method is as follows in the step D:
A, enterprise management efficiency measurement indicator system is constructed；
B, enterprise management efficiency measure function is established according to characteristic；
C, by the overall cost during enterprise operation, consolidated profit, staff number, working time, in input measure function,
Obtain measure value, wherein measure value P=(consolidated profit-overall cost) the * working time/staff number；
If d, measure value is less than 10, then it represents that the efficiency of management is low, if measure value is more than or equal to 10 less than 20, then it represents that management
Efficiency is medium；If measure value is more than or equal to 20, then it represents that the efficiency of management is high.
Compared with prior art, the beneficial effects of the present invention are:
(1) Measurement Method of the invention is easy to operate, estimates high-efficient, improves enterprise management efficiency；Wherein, use
Data clusters classification method reduces using the time for being manually labeled consuming to data collection, so that the classification of data is more quasi-
Really, the utilization rate of data is improved；The data characteristics extracting method of use can effectively extract the feature of business data, after being convenient for
Continuous Synthetic Measurement.
(2) the Synthetic Measurement method that uses of the present invention can quantify, accurately estimate the efficiency of management of enterprise, can be enterprise
Development provides scientific, objective, accurate decision-making foundation with management.
Detailed description of the invention
Fig. 1 is present system flow chart；
Fig. 2 is Synthetic Measurement method flow diagram of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
The present invention provides a kind of technical solution referring to FIG. 1-2: a kind of enterprise management efficiency based on composite optimization analysis
Measurement Method, the following steps are included:
A, enterprise operation data are acquired, the data of acquisition are pre-processed, and the attribute unrelated with its is removed, and are rejected relevant
High fork attribute；
B, Cluster Classification is carried out to pretreated data, the enterprise operation data after obtaining Cluster Classification；
C, data characteristics extraction is carried out to the data after Cluster Classification, the data after obtaining feature extraction；
D, realize that enterprise management efficiency is estimated finally by Synthetic Measurement.
In the present invention, data clusters classification method is as follows in the step B:
A, data to be clustered are acquired, and are in N number of Sub Data Set by data cutting；
B, redundant filtration is carried out to N number of Sub Data Set, obtains Non-redundant data；
C, calculating is merged using multiple computational threads to Non-redundant data；
D, the calculated result after joint account is modified and is saved；
E, related data, i.e., the Cluster Classification of complete paired data are finally determined from Non-redundant data.
The data classification method of use reduced using the time for being manually labeled consuming to data collection, so that data
It is more accurate to classify, and improves the utilization rate of data.
In the present invention, data characteristics extracting method is as follows in step C:
A, data set is established, multiple Sub Data Sets to feature extraction are wherein included in data set；
B, feature training is carried out to data set, obtains training pattern；
C, the first keyword and the second keyword in data set are extracted；
D, each Sub Data Set in cyclic search data set, using the first keyword and the second keyword as primary condition, antithetical phrase
Data set scans for；
E, search is matched to the first keyword or the second keyword in each Sub Data Set, then extracts to data.
In addition, Synthetic Measurement method is as follows in step D in the present invention:
A, enterprise management efficiency measurement indicator system is constructed；
B, enterprise management efficiency measure function is established according to characteristic；
C, by the overall cost during enterprise operation, consolidated profit, staff number, working time, in input measure function,
Obtain measure value, wherein measure value P=(consolidated profit-overall cost) the * working time/staff number；
If d, measure value is less than 10, then it represents that the efficiency of management is low, if measure value is more than or equal to 10 less than 20, then it represents that management
Efficiency is medium；If measure value is more than or equal to 20, then it represents that the efficiency of management is high.
The Synthetic Measurement method that the present invention uses can quantify, accurately estimate the input-output ratio of enterprise, can be enterprise
Development and management scientific, objective, accurate decision-making foundation is provided.
In conclusion Measurement Method of the invention is easy to operate, estimate high-efficient, improves enterprise management efficiency；Wherein,
The data clusters classification method of use reduces using the time for being manually labeled consuming to data collection, so that the classification of data
It is more accurate, improve the utilization rate of data；The data characteristics extracting method of use can effectively extract the feature of business data,
Convenient for subsequent Synthetic Measurement；The Synthetic Measurement method that the present invention uses can quantify, accurately estimate the efficiency of management of enterprise, energy
Scientific, objective, accurate decision-making foundation is provided for the development and management of enterprise.
Above-mentioned data use the enterprise management efficiency photometry system analyzed based on composite optimization to carry out, and system includes that data are defeated
Enter unit, data processing unit and data outputting unit；The data input cell is for inputting enterprise operation data；The number
According to processing unit for handling the input enterprise operation data of input；The data outputting unit is at output data
Data after managing cell processing；
The processing step of the data processing unit is as follows: Step 1: acquisition enterprise operation data, the data of acquisition are carried out
Pretreatment；
Step 2: classifying to pretreated data, sorted enterprise operation data are obtained；
Step 3: realizing that enterprise management efficiency is estimated by Synthetic Measurement to sorted data.
The preprocess method are as follows: the removal attribute unrelated with enterprise operation data
It although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
A variety of variations, modification, replacement can be carried out to these embodiments without departing from the principles and spirit of the present invention by understanding
And modification, the scope of the present invention is defined by the appended.
Claims (4)
1. a kind of enterprise management efficiency Measurement Method based on composite optimization analysis, it is characterised in that: the following steps are included:
A, enterprise operation data are acquired, the data of acquisition are pre-processed, and are removed the attribute unrelated with its, are rejected relevant high score
Branch attribute；
B, Cluster Classification is carried out to pretreated data, the enterprise operation data after obtaining Cluster Classification；
C, data characteristics extraction is carried out to the data after Cluster Classification, the data after obtaining feature extraction；
D, realize that enterprise management efficiency is estimated finally by Synthetic Measurement.
2. a kind of enterprise management efficiency Measurement Method based on composite optimization analysis according to claim 1, feature exist
In: data clusters classification method is as follows in the step B:
A, data to be clustered are acquired, and are in N number of Sub Data Set by data cutting；
B, redundant filtration is carried out to N number of Sub Data Set, obtains Non-redundant data；
C, calculating is merged using multiple computational threads to Non-redundant data；
D, the calculated result after joint account is modified and is saved；
E, related data, i.e., the Cluster Classification of complete paired data are finally determined from Non-redundant data.
3. a kind of enterprise management efficiency Measurement Method based on composite optimization analysis according to claim 1, feature exist
In: data characteristics extracting method is as follows in the step C:
A, data set is established, multiple Sub Data Sets to feature extraction are wherein included in data set；
B, feature training is carried out to data set, obtains training pattern；
C, the first keyword and the second keyword in data set are extracted；
D, each Sub Data Set in cyclic search data set, using the first keyword and the second keyword as primary condition, subdata
Collection scans for；
E, search is matched to the first keyword or the second keyword in each Sub Data Set, then extracts to data.
4. a kind of enterprise management efficiency Measurement Method based on composite optimization analysis according to claim 1, feature exist
In: Synthetic Measurement method is as follows in the step D:
A, enterprise management efficiency measurement indicator system is constructed；
B, enterprise management efficiency measure function is established according to characteristic；
C, it by the overall cost during enterprise operation, consolidated profit, staff number, working time, in input measure function, obtains
Measure value, wherein measure value P=(consolidated profit-overall cost) * working time/staff number；
If d, measure value is less than 10, then it represents that the efficiency of management is low, if measure value is more than or equal to 10 less than 20, then it represents that the efficiency of management
It is medium；If measure value is more than or equal to 20, then it represents that the efficiency of management is high.
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