CN116385057A - Building engineering material provider selection evaluation method based on multidimensional feature analysis - Google Patents

Building engineering material provider selection evaluation method based on multidimensional feature analysis Download PDF

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CN116385057A
CN116385057A CN202310285056.5A CN202310285056A CN116385057A CN 116385057 A CN116385057 A CN 116385057A CN 202310285056 A CN202310285056 A CN 202310285056A CN 116385057 A CN116385057 A CN 116385057A
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analyzed
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刘振邦
余俊锋
王步云
何中华
张云莉
耿天宝
刘道学
穆明辉
胡伟
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Anhui Shuzhi Construction Research Institute Co ltd
China Tiesiju Civil Engineering Group Co Ltd CTCE Group
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China Tiesiju Civil Engineering Group Co Ltd CTCE Group
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Abstract

The invention relates to the technical field of supplier selection, and particularly discloses a multi-dimensional feature analysis-based building engineering material supplier selection evaluation method, which comprises the following steps: s1, target item information acquisition, S2, supplier supply capacity demand analysis, S3, supplier tendency analysis, S4, supplier historical delivery quality analysis and S5, supplier processing to be analyzed, wherein the method is more suitable for target items, ensures the accuracy of analysis results of suppliers, lays a foundation for the evaluation index of subsequent analysis suppliers, ensures the supply capacity of the suppliers to meet the requirements of the target items, overcomes the defect of low attention to historical work records of responsibility managers in the prior art, ensures the practicability of supplier selection, overcomes the defect of neglect in the aspect of paying funds to the suppliers in the prior art, further ensures the risk bearing capacity of the suppliers, and ensures the balance between corresponding funds and goods of the suppliers.

Description

Building engineering material provider selection evaluation method based on multidimensional feature analysis
Technical Field
The invention relates to the technical field of supplier selection, in particular to a multi-dimensional feature analysis-based building engineering material supplier selection evaluation method.
Background
In the project construction process of the building engineering, the purchasing of materials is often involved, how to purchase can maximize economic benefits is an important research point of related companies of the building engineering, the selection problem of suppliers is an important content of purchasing decisions, for most enterprises, purchasing cost accounts for more than 70% of total cost of products, reasonable selection of suppliers can achieve the purposes of reducing enterprise cost, increasing enterprise flexibility and improving competitiveness of the enterprises, if the selection of the suppliers is unreasonable, on one hand, project cost can be influenced, benefits brought by the project can be reduced, on the other hand, quality problems of project construction can be influenced, reputation of the building companies can be reduced, influence on the forward aspect of the building companies can not be brought, and therefore, analysis of suppliers corresponding to the building engineering projects is needed.
In the prior art, the corresponding analysis and selection of suppliers of the building engineering projects can meet the current requirements to a certain extent, but certain defects exist, and the method is specifically characterized in that: (1) The prior art has low attention to the historical work records of relevant responsibility managers of the building engineering project, the project manager balances the conflicting targets based on intuition of personal experience, past business contact experience or factors of long-term cooperation in the future, a certain subjective impression is formed on the contacted suppliers, and a part of suppliers with better impressions tend to be selected in a certain range, so that the project manager has a certain reference value to the historically selected suppliers, the choice of the suppliers may deviate from the actual demand due to the neglect of the prior art, and the correctness and scientificity of the choice of the suppliers cannot be ensured.
(2) In the prior art, the delivery timeliness and historical related scores of the suppliers are mostly analyzed when the quality analysis of the delivery of the suppliers is performed, the prepaid pad fund amount of the suppliers reflects the risk bearing capacity of the suppliers to a certain extent, the selected risk bearing capacity of the suppliers may be insufficient due to the neglect of the prior art on the aspect of the evaluation of the suppliers, and the balance between corresponding funds and cargoes of the suppliers cannot be ensured, so that the accuracy of the evaluation and analysis of the suppliers is reduced.
Disclosure of Invention
In order to overcome the defects in the background technology, the embodiment of the invention provides a multi-dimensional feature analysis-based building engineering material provider selection evaluation method which can effectively solve the problems related to the background technology.
The aim of the invention can be achieved by the following technical scheme: a building engineering material supplier selection evaluation method based on multidimensional feature analysis comprises the following steps: s1, acquiring target item information: and obtaining the required quantity, the required proportion and the required unit price of the target item corresponding to various materials.
S2, supplier supply capacity demand analysis: and analyzing the demand quantity conforming coefficient and the demand proportion conforming coefficient corresponding to each supplier, comprehensively analyzing the supply capacity coefficient corresponding to each supplier, and screening each supplier to be analyzed according to the supply capacity coefficient.
S3, supplier tendency analysis: acquiring responsibility manager corresponding to target item, and further analyzing selection trend coefficient XC corresponding to each supplier to be analyzed f Acquiring the highest-level responsible company corresponding to the target item based on the current responsible company to which the target item belongs, and further analyzing headquarter evaluation coefficients PJ corresponding to each supplier to be analyzed f Thereby comprehensively analyzing the comprehensive selection tendency coefficients corresponding to the suppliers to be analyzed.
S4, analysis of historical delivery quality of suppliers: and analyzing the historical delivery quality coefficients corresponding to each supplier to be analyzed.
S5, treating by a supplier to be analyzed: and analyzing the comprehensive evaluation coefficients corresponding to the suppliers to be analyzed, and further carrying out corresponding processing on the suppliers to be analyzed.
As a preferred solution, the analyzing the corresponding demand quantity of each supplier accords with the coefficient, and the specific method is as follows: extracting the number CS of historical transactions corresponding to various materials of various suppliers in a set period from a building platform management center imj Where i is denoted as the number of each vendor, i=1, 2,..n, m is denoted as the number of each kind of material, m=1, 2,..i, j is denoted as the number of each transaction, j=1, 2,..k.
Screening the lowest transaction quantity corresponding to each kind of material of each supplier from the transaction quantity corresponding to each kind of material of each supplier
Figure BDA0004139475630000031
According to the demand quantity SL of various materials corresponding to the target project m Analyzing the demand quantity coincidence coefficient corresponding to various materials of various suppliers>
Figure BDA0004139475630000032
Where k is denoted as the number of transactions, lambda 1 、λ 2 Respectively representing the weight coefficients of proper preset demand quantity and corresponding demand quantity and the lowest transaction quantity.
The demand quantity corresponding to the materials belonging to each supplier is subjected to average value processing to obtainObtaining the corresponding demand quantity of each supplier to meet the coefficient epsilon i ′。
As a preferred scheme, the method for analyzing the demand proportion coincidence coefficient corresponding to each supplier specifically comprises the following steps: extracting transaction quantity proportion value BL corresponding to various materials of various suppliers im And based on the demand quantity proportion value XL corresponding to various materials corresponding to the target item m Analyzing the demand proportion coincidence coefficient corresponding to each supplier
Figure BDA0004139475630000041
Where l is expressed as the number of asset classes.
As a preferable solution, the capacity coefficient corresponding to each supplier has a calculation formula as follows:
Figure BDA0004139475630000042
wherein gamma is 1 、γ 2 And respectively representing that the preset demand quantity accords with the corresponding weight factor of the demand proportion.
As a preferred scheme, the screening of each supplier to be analyzed is carried out by the following specific method: comparing the supply capacity coefficient corresponding to each supplier with a preset supply capacity coefficient threshold, screening each supplier with the supply capacity coefficient larger than or equal to the supply capacity coefficient threshold, and marking the supplier as each qualified supply supplier.
Extracting the corresponding unit price increase rate SP of each material belonging to each qualified supplier bm Where b is denoted as the number of each supply qualified provider, b=1, 2.
Average transaction unit price SP according to the histories of various goods and materials which each qualified supplier belongs to in the last year b ′ m And based on the target item, the unit price DP of the demand corresponding to various materials m Analyzing supply price suitability coefficients corresponding to various materials of various qualified suppliers
Figure BDA0004139475630000043
According to predefined intervals of supply price suitability coefficients corresponding to various materials, taking the intermediate value of the corresponding interval as a reference supply price suitability coefficient corresponding to various materials
Figure BDA0004139475630000044
Comprehensive analysis of supply price suitability coefficient corresponding to each supply qualified supplier>
Figure BDA0004139475630000051
Wherein χ is m The supply price corresponding to the preset mth kind of material is represented as a proper duty factor.
Comparing the supply price suitability coefficient corresponding to each qualified supply supplier with a predefined supply price suitability coefficient, and if the supply price suitability coefficient corresponding to a qualified supply supplier is greater than or equal to the supply price suitability coefficient, marking the qualified supply supplier as a supplier to be analyzed, thereby obtaining each supplier to be analyzed.
As a preferable scheme, the selection tendency coefficient corresponding to each supplier to be analyzed comprises the following specific analysis methods: extracting suppliers corresponding to each historical selection corresponding to all managers from a building platform management center, further counting the total number of times CP of the historical selection suppliers corresponding to all managers, and counting the total selection times CI corresponding to each supplier to be analyzed f Where f is denoted as the number of each supplier to be analyzed, f=1, 2.
Extracting the suppliers to which the objective project belongs from the suppliers to which the history selections belong, and counting the total times CH of the suppliers to which the objective project belongs and the selections CF to which the objective project corresponds f 。
Analyzing the selection trend coefficient corresponding to each supplier to be analyzed
Figure BDA0004139475630000052
Wherein delta 1 、δ 1 Respectively expressed as the preset selection tendency proportion coefficient corresponding to the selection times of other managers and the selection times of responsible managers.
As a preferable solution, the total evaluation coefficient corresponding to each to-be-analyzed supplier is specifically analyzed by the following method: extracting the sum JE of each headquarter historical order corresponding to each supplier to be analyzed fx Wherein x is the number of each headquarter historical order, x=1, 2, and y, and average processing is performed on the number to obtain an average amount J corresponding to each supplier to be analyzed f 。
Extracting the maximum transaction amount corresponding to each to-be-analyzed supplier based on the amount of each to-be-analyzed supplier corresponding to each headquarter historical order
Figure BDA0004139475630000061
And minimum amount of transaction->
Figure BDA0004139475630000062
Counting the number of deals of the highest-level responsible company to which the target item belongs corresponding to each supplier to be analyzed, so as to analyze the headquarter evaluation coefficient corresponding to each supplier to be analyzed
Figure BDA0004139475630000063
Wherein ρ is 1 、ρ 2 The correction factors are respectively indicated as proper sum and corresponding sum deviation, and JT' is indicated as preset allowed sum error.
As a preferable solution, the calculation formula of the comprehensive selection tendency coefficient corresponding to each supplier to be analyzed is as follows: ZX (ZX) f ＝ln(1+XC f *τ 1 +PJ f *τ 2 ) Wherein τ 1 、τ 2 Respectively representing the corresponding duty ratio coefficients of the preset responsibility manager evaluation and the headquarter evaluation.
As a preferable scheme, the method for analyzing the historical delivery quality coefficient corresponding to each supplier to be analyzed specifically comprises the following steps: acquiring relevant parameters corresponding to each transaction of each to-be-analyzed provider, wherein the relevant parameters comprise a grading value PF fh Predicted delivery time point T f ′ h Actual delivery time point T fh Amount of assembly fh And prepaid mat fund amount Q' fh Where h is expressed as the number of each transaction, h=1, 2,..g.
Analyzing the historical delivery quality coefficients corresponding to each supplier to be analyzed
Figure BDA0004139475630000064
Where g is expressed as the number of transactions, T is expressed as the number of suppliers to be analyzed, and T "is expressed as a preset allowable delivery error.
As a preferred scheme, the analyzing the comprehensive evaluation coefficients corresponding to each to-be-analyzed supplier, and further, performing corresponding processing on each to-be-analyzed supplier, and the specific method comprises the following steps: extracting a supply price suitability coefficient SD corresponding to each supplier to be analyzed based on the supply price suitability coefficient corresponding to each qualified supplier f Further analyzing the comprehensive quality coefficient corresponding to each supplier to be analyzed
Figure BDA0004139475630000071
Wherein τ 1 、τ 2 、τ 3 The correction coefficients are respectively expressed as a preset supply price fit, a comprehensive selection tendency and a historical delivery quality.
Screening the maximum comprehensive quality coefficient psi based on the comprehensive quality coefficient corresponding to each supplier to be analyzed max And a minimum combined quality coefficient psi min Further, the comprehensive evaluation coefficients corresponding to the suppliers to be analyzed can be obtained by adopting the following standard 0-1 standard method
Figure BDA0004139475630000072
Sequencing the suppliers to be analyzed according to the sequence from high to low of the corresponding comprehensive evaluation coefficients to obtain sequenced suppliers to be analyzed, marking the first-ranked suppliers to be analyzed as target suppliers, and sending the target suppliers to a responsibility manager.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects: (1) According to the method, the related demand parameters of the materials corresponding to the target item are acquired in the target item information acquisition step, the analyzed data are more attached to the target item, the accuracy of the analysis result of the supplier is further guaranteed, and meanwhile, a foundation is laid for subsequent analysis of the evaluation index of the supplier.
(2) In the step of analyzing the supply capacity demand of the supplier, the invention analyzes the supply capacity of the supplier through the historical data of the supplier, thereby ensuring that the supply capacity of the supplier meets the requirement of a target project, and simultaneously providing powerful data support for the comprehensive evaluation coefficient of the subsequent analysis supplier.
(3) According to the method, in the step of analyzing the tendency of the suppliers, the selection tendency of the suppliers is analyzed through the relevant historical data of the responsibility manager to which the target project belongs, so that the defect of low attention to the historical work records of the responsibility manager in the prior art is overcome, the practicability of the supplier selection is further ensured, and the correctness and the scientificity of the supplier selection are effectively improved.
(4) In the step of analyzing the historical delivery quality of the supplier, the method analyzes the historical delivery quality of the supplier through the delivery timeliness of the supplier, the historical related scores and the prepaid pad fund amount of the supplier, overcomes the defect that the aspect of paying funds to the supplier in the prior art is neglected, further ensures the risk bearing capacity of the supplier, avoids the defect of insufficient risk bearing capacity of the selected supplier, further ensures the balance between corresponding funds and goods of the supplier, and improves the accuracy of the supplier assessment analysis.
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The invention will be further described with reference to the accompanying drawings, in which embodiments do not constitute any limitation of the invention, and other drawings can be obtained by one of ordinary skill in the art without inventive effort from the following drawings.
FIG. 1 is a schematic flow chart of the method of the present invention.
Fig. 2 is a logic thinking diagram of a method for selecting and evaluating building engineering material suppliers based on multidimensional feature analysis.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1 and 2, the present invention provides a method for selecting and evaluating a building engineering material provider based on multidimensional feature analysis, comprising: s1, acquiring target item information: and obtaining the required quantity, the required proportion and the required unit price of the target item corresponding to various materials.
According to the method, the related demand parameters of the materials corresponding to the target item are acquired in the target item information acquisition step, the analyzed data are more attached to the target item, the accuracy of the analysis result of the supplier is further guaranteed, and meanwhile, a foundation is laid for subsequent analysis of the evaluation index of the supplier.
S2, supplier supply capacity demand analysis: and analyzing the demand quantity conforming coefficient and the demand proportion conforming coefficient corresponding to each supplier, comprehensively analyzing the supply capacity coefficient corresponding to each supplier, and screening each supplier to be analyzed according to the supply capacity coefficient.
In a specific embodiment of the present invention, the analyzing the demand quantity corresponding to each supplier accords with a coefficient, and the specific method includes: extracting the number CS of historical transactions corresponding to various materials of various suppliers in a set period from a building platform management center imj Where i is denoted as the number of each vendor, i=1, 2,..n, m is denoted as the number of each kind of material, m=1, 2,..i, j is denoted as the number of each transaction, j=1, 2,..k.
Screening the lowest transaction quantity corresponding to each kind of material of each supplier from the transaction quantity corresponding to each kind of material of each supplier
Figure BDA0004139475630000091
Corresponding to various target itemsDemand quantity SL of class material m Analyzing the demand quantity coincidence coefficient corresponding to various materials of various suppliers>
Figure BDA0004139475630000092
Where k is denoted as the number of transactions, lambda 1 、λ 2 Respectively representing the weight coefficients of proper preset demand quantity and corresponding demand quantity and the lowest transaction quantity.
The demand quantity coincidence coefficients corresponding to the various materials of each supplier are subjected to mean value processing, so that the demand quantity coincidence coefficients epsilon corresponding to each supplier are obtained i ′。
In a specific embodiment of the present invention, the analyzing the demand proportion coincidence coefficient corresponding to each supplier specifically includes: extracting transaction quantity proportion value BL corresponding to various materials of various suppliers im And based on the demand quantity proportion value XL corresponding to various materials corresponding to the target item m Analyzing the demand proportion coincidence coefficient corresponding to each supplier
Figure BDA0004139475630000101
Where l is expressed as the number of asset classes.
It should be noted that, the specific method for extracting the transaction quantity proportion value corresponding to each kind of material to which each supplier belongs is as follows: summarizing the transaction quantity of each supplier corresponding to each kind of material of each year to obtain the total transaction quantity of each time corresponding to each kind of material of each supplier, counting the total transaction quantity of each kind of material of each supplier, constructing the transaction quantity proportion of each kind of material of each supplier according to the total transaction quantity, and extracting the transaction quantity proportion value BL of each kind of material of each supplier im 。
In a specific embodiment of the present invention, the capacity coefficient corresponding to each supplier has a calculation formula as follows:
Figure BDA0004139475630000102
wherein gamma is 1 、γ 2 And respectively representing that the preset demand quantity accords with the corresponding weight factor of the demand proportion.
In a specific embodiment of the present invention, the screening of each supplier to be analyzed includes the following specific methods: comparing the supply capacity coefficient corresponding to each supplier with a preset supply capacity coefficient threshold, screening each supplier with the supply capacity coefficient larger than or equal to the supply capacity coefficient threshold, and marking the supplier as each qualified supply supplier.
Extracting the corresponding unit price increase rate SP of each material belonging to each qualified supplier bm Where b is denoted as the number of each supply qualified provider, b=1, 2.
It should be noted that, the specific method for extracting the unit price increase rate corresponding to each kind of material to which each qualified supplier belongs is as follows: extracting each historical transaction unit price corresponding to each type of material of each qualified supplier in a set period from a building platform management center, further regulating each historical transaction unit price corresponding to each type of material according to the corresponding transaction year, thereby obtaining each historical transaction unit price corresponding to each type of material in each year, utilizing average processing to obtain each historical average transaction unit price corresponding to each type of material in each year, and further extracting unit price increasing rate SP corresponding to each type of material of each qualified supplier from the obtained historical average transaction unit price bm 。
Average transaction unit price SP according to the histories of various goods and materials which each qualified supplier belongs to in the last year b ′ m And based on the target item, the unit price DP of the demand corresponding to various materials m Analyzing supply price suitability coefficients corresponding to various materials of various qualified suppliers
Figure BDA0004139475630000111
According to predefined intervals of supply price suitability coefficients corresponding to various materials, taking the intermediate value of the corresponding interval as a reference supply price suitability coefficient corresponding to various materials
Figure BDA0004139475630000112
Comprehensive analysis of supply price suitability coefficient corresponding to each supply qualified supplier>
Figure BDA0004139475630000113
Wherein χ is m The supply price corresponding to the preset mth kind of material is represented as a proper duty factor.
Comparing the supply price suitability coefficient corresponding to each qualified supply supplier with a predefined supply price suitability coefficient, and if the supply price suitability coefficient corresponding to a qualified supply supplier is greater than or equal to the supply price suitability coefficient, marking the qualified supply supplier as a supplier to be analyzed, thereby obtaining each supplier to be analyzed.
In the step of analyzing the supply capacity demand of the supplier, the invention analyzes the supply capacity of the supplier through the historical data of the supplier, thereby ensuring that the supply capacity of the supplier meets the requirement of a target project, and simultaneously providing powerful data support for the comprehensive evaluation coefficient of the subsequent analysis supplier.
S3, supplier tendency analysis: acquiring responsibility manager corresponding to target item, and further analyzing selection trend coefficient XC corresponding to each supplier to be analyzed f Acquiring the highest-level responsible company corresponding to the target item based on the current responsible company to which the target item belongs, and further analyzing headquarter evaluation coefficients PJ corresponding to each supplier to be analyzed f Thereby comprehensively analyzing the comprehensive selection tendency coefficients corresponding to the suppliers to be analyzed.
In a specific embodiment of the present invention, the selection tendency coefficient corresponding to each to-be-analyzed provider is specifically analyzed by: extracting suppliers corresponding to each historical selection corresponding to all managers from a building platform management center, further counting the total number of times CP of the historical selection suppliers corresponding to all managers, and counting the total selection times CI corresponding to each supplier to be analyzed f Where f is denoted as the number of each supplier to be analyzed, f=1, 2.
From all managers corresponding to the providers to which each history selection belongsExtracting the corresponding historical selection of the providers of the responsible manager of the target item, counting the total times CH of the historical selection of the providers of the responsible manager of the target item, and counting the number of selections CF of the responsible manager of the target item f 。
Analyzing the selection trend coefficient corresponding to each supplier to be analyzed
Figure BDA0004139475630000121
Wherein delta 1 、δ 1 Respectively expressed as the preset selection tendency proportion coefficient corresponding to the selection times of other managers and the selection times of responsible managers.
In a specific embodiment of the present invention, the total evaluation coefficient corresponding to each to-be-analyzed provider is specifically analyzed by: extracting the sum JE of each headquarter historical order corresponding to each supplier to be analyzed fx Wherein x is the number of each headquarter historical order, x=1, 2, and y, and average processing is performed on the number to obtain an average amount J corresponding to each supplier to be analyzed f 。
It should be noted that, the method for extracting the amount of money of each to-be-analyzed supplier corresponding to each headquarter historical order comprises the following specific steps: acquiring each historical order of the highest-level responsible company corresponding to the target item from the building platform management center, and further, normalizing each historical order according to the to-be-analyzed suppliers to obtain each headquarter historical order corresponding to each to-be-analyzed supplier, thereby extracting the sum JE of each headquarter historical order corresponding to each to-be-analyzed supplier fx 。
Extracting the maximum transaction amount corresponding to each to-be-analyzed supplier based on the amount of each to-be-analyzed supplier corresponding to each headquarter historical order
Figure BDA0004139475630000131
And minimum amount of transaction->
Figure BDA0004139475630000132
The highest-level responsible company to which the statistical target item belongs corresponds to each supplier to be analyzedAnalyzing the total evaluation coefficient corresponding to each supplier to be analyzed
Figure BDA0004139475630000133
Wherein ρ is 1 、ρ 2 The correction factors are respectively indicated as proper sum and corresponding sum deviation, and JT' is indicated as preset allowed sum error.
In a specific embodiment of the present invention, the calculation formula of the comprehensive selection tendency coefficient corresponding to each to-be-analyzed provider is: ZX (ZX) f ＝ln(1+XC f *τ 1 +PJ f *τ 2 ) Wherein τ 1 、τ 2 Respectively representing the corresponding duty ratio coefficients of the preset responsibility manager evaluation and the headquarter evaluation.
According to the method, in the step of analyzing the tendency of the suppliers, the selection tendency of the suppliers is analyzed through the relevant historical data of the responsibility manager to which the target project belongs, so that the defect of low attention to the historical work records of the responsibility manager in the prior art is overcome, the practicability of the supplier selection is further ensured, and the correctness and the scientificity of the supplier selection are effectively improved.
S4, analysis of historical delivery quality of suppliers: and analyzing the historical delivery quality coefficients corresponding to each supplier to be analyzed.
In a specific embodiment of the present invention, the analyzing the historical delivery quality coefficient corresponding to each supplier to be analyzed specifically includes: acquiring relevant parameters corresponding to each transaction of each to-be-analyzed provider, wherein the relevant parameters comprise a grading value PF fh Predicted delivery time point T f ′ h Actual delivery time point T fh Amount of assembly fh And prepaid mat fund amount Q' fh Where h is expressed as the number of each transaction, h=1, 2,..g.
Analyzing the historical delivery quality coefficients corresponding to each supplier to be analyzed
Figure BDA0004139475630000141
Where g is expressed as the number of transactions, T is expressed as the number of suppliers to be analyzed, and T "is expressed as a preset allowable transactionAnd (5) error is paid.
In the step of analyzing the historical delivery quality of the supplier, the method analyzes the historical delivery quality of the supplier through the delivery timeliness of the supplier, the historical related scores and the prepaid pad fund amount of the supplier, overcomes the defect that the aspect of paying funds to the supplier in the prior art is neglected, further ensures the risk bearing capacity of the supplier, avoids the defect of insufficient risk bearing capacity of the selected supplier, further ensures the balance between corresponding funds and goods of the supplier, and improves the accuracy of the supplier assessment analysis.
S5, treating by a supplier to be analyzed: and analyzing the comprehensive evaluation coefficients corresponding to the suppliers to be analyzed, and further carrying out corresponding processing on the suppliers to be analyzed.
In a specific embodiment of the present invention, the analyzing the comprehensive evaluation coefficients corresponding to each to-be-analyzed provider further performs corresponding processing on each to-be-analyzed provider, and the specific method thereof is as follows: extracting a supply price suitability coefficient SD corresponding to each supplier to be analyzed based on the supply price suitability coefficient corresponding to each qualified supplier f Further analyzing the comprehensive quality coefficient corresponding to each supplier to be analyzed
Figure BDA0004139475630000151
Wherein τ 1 、τ 2 、τ 3 The correction coefficients are respectively expressed as a preset supply price fit, a comprehensive selection tendency and a historical delivery quality.
Screening the maximum comprehensive quality coefficient psi based on the comprehensive quality coefficient corresponding to each supplier to be analyzed max And a minimum combined quality coefficient psi min Further, the comprehensive evaluation coefficients corresponding to the suppliers to be analyzed can be obtained by adopting the following standard 0-1 standard method
Figure BDA0004139475630000152
It should be noted that, the invention adopts the 0-1 standard method to control the value range of the comprehensive evaluation coefficient corresponding to each supplier to be analyzed within 0-1, the expression of the data is more visual and simple, the overlarge difference between the data is avoided, and the aesthetic property of the evaluation coefficient of the supplier is improved to a certain extent.
Sequencing the suppliers to be analyzed according to the sequence from high to low of the corresponding comprehensive evaluation coefficients to obtain sequenced suppliers to be analyzed, marking the first-ranked suppliers to be analyzed as target suppliers, and sending the target suppliers to a responsibility manager.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art of describing particular embodiments without departing from the structures of the invention or exceeding the scope of the invention as defined by the claims.

Claims (10)

1. A method for selecting and evaluating a building engineering material provider based on multidimensional feature analysis, comprising the steps of:
s1, acquiring target item information: acquiring the required quantity, required proportion and required unit price of various materials corresponding to a target project;
s2, supplier supply capacity demand analysis: analyzing the demand quantity conforming coefficient and the demand proportion conforming coefficient corresponding to each supplier, further comprehensively analyzing the supply capacity coefficient corresponding to each supplier, and screening each supplier to be analyzed according to the supply capacity coefficient;
s3, analyzing the tendencies of suppliers: acquiring responsibility manager corresponding to target item, and further analyzing selection trend coefficient XC corresponding to each supplier to be analyzed f Acquiring the highest-level responsible company corresponding to the target item based on the current responsible company to which the target item belongs, and further analyzing headquarter evaluation coefficients PJ corresponding to each supplier to be analyzed f Thereby comprehensively analyzing the comprehensive selection tendency coefficients corresponding to the suppliers to be analyzed;
s4, analysis of historical delivery quality of suppliers: analyzing historical delivery quality coefficients corresponding to each supplier to be analyzed;
s5, treating the suppliers to be analyzed: and analyzing the comprehensive evaluation coefficients corresponding to the suppliers to be analyzed, and further carrying out corresponding processing on the suppliers to be analyzed.
2. A method for selecting and evaluating a building engineering material provider based on multidimensional feature analysis as recited in claim 1, wherein: the specific method for analyzing the demand quantity corresponding to each supplier accords with the coefficient comprises the following steps:
extracting the number CS of historical transactions corresponding to various materials of various suppliers in a set period from a building platform management center imj Where i is denoted as the number of each vendor, i=1, 2,..n, m is denoted as the number of each kind of material, m=1, 2,..i, j is denoted as the number of each transaction, j=1, 2,..k;
screening the lowest transaction quantity corresponding to each kind of material of each supplier from the transaction quantity corresponding to each kind of material of each supplier
Figure FDA0004139475620000021
According to the demand quantity SL of various materials corresponding to the target project m Analyzing the demand quantity coincidence coefficient corresponding to various materials of various suppliers>
Figure FDA0004139475620000022
Where k is denoted as the number of transactions, lambda 1 、λ 2 Respectively representing the weight coefficients of proper preset demand quantity and corresponding demand quantity and the lowest transaction quantity;
the demand quantity coincidence coefficients corresponding to the various materials of each supplier are subjected to mean value processing, so that the demand quantity coincidence coefficients epsilon corresponding to each supplier are obtained i ′。
3. A method for selecting and evaluating a building engineering material provider based on multidimensional feature analysis as recited in claim 2, wherein: the specific method for analyzing the demand proportion coincidence coefficient corresponding to each supplier comprises the following steps:
extracting transaction quantity proportion value BL corresponding to various materials of various suppliers im And corresponds to various categories based on the target itemsDemand quantity proportional value XL corresponding to materials m Analyzing the demand proportion coincidence coefficient corresponding to each supplier
Figure FDA0004139475620000023
Where l is expressed as the number of asset classes.
4. A method for selecting and evaluating a building engineering material provider based on multidimensional feature analysis as recited in claim 1, wherein: the corresponding supply capacity coefficient of each supplier has the following calculation formula:
Figure FDA0004139475620000024
wherein gamma is 1 、γ 2 And respectively representing that the preset demand quantity accords with the corresponding weight factor of the demand proportion.
5. A method of selecting and evaluating a building engineering material provider based on multidimensional feature analysis as claimed in claim 3, wherein: the specific method for screening each supplier to be analyzed comprises the following steps:
comparing the supply capacity coefficient corresponding to each supplier with a preset supply capacity coefficient threshold, screening each supplier corresponding to the supply capacity coefficient greater than or equal to the supply capacity coefficient threshold, and marking the supplier as each qualified supply supplier;
extracting the corresponding unit price increase rate SP of each material belonging to each qualified supplier bm Wherein b represents the number of each supply qualified provider, b=1, 2, c;
average transaction unit price SP according to the histories of various goods and materials which each qualified supplier belongs to in the last year b ′ m And based on the target item, the unit price DP of the demand corresponding to various materials m Analyzing supply price suitability coefficients corresponding to various materials of various qualified suppliers
Figure FDA0004139475620000031
According to predefined intervals of supply price suitability coefficients corresponding to various materials, taking the intermediate value of the corresponding interval as a reference supply price suitability coefficient corresponding to various materials
Figure FDA0004139475620000032
Comprehensive analysis of supply price suitability coefficient corresponding to each supply qualified supplier>
Figure FDA0004139475620000033
Wherein χ is m The supply price corresponding to the preset mth kind of material is represented as a proper duty factor;
comparing the supply price suitability coefficient corresponding to each qualified supply supplier with a predefined supply price suitability coefficient, and if the supply price suitability coefficient corresponding to a qualified supply supplier is greater than or equal to the supply price suitability coefficient, marking the qualified supply supplier as a supplier to be analyzed, thereby obtaining each supplier to be analyzed.
6. A method for selecting and evaluating a building engineering material provider based on multidimensional feature analysis as recited in claim 1, wherein: the specific analysis method of the selection tendency coefficient corresponding to each supplier to be analyzed comprises the following steps:
extracting suppliers corresponding to each historical selection corresponding to all managers from a building platform management center, further counting the total number of times CP of the historical selection suppliers corresponding to all managers, and counting the total selection times CI corresponding to each supplier to be analyzed f Where f is denoted as the number of each supplier to be analyzed, f=1, 2,..;
extracting the suppliers to which the objective project belongs from the suppliers to which the history selections belong, and counting the total times CH of the suppliers to which the objective project belongs and the selections CF to which the objective project corresponds f ；
Analyzing the corresponding selection inclination of each supplier to be analyzedCoefficient of orientation
Figure FDA0004139475620000041
Wherein delta 1 、δ 1 Respectively expressed as the preset selection tendency proportion coefficient corresponding to the selection times of other managers and the selection times of responsible managers.
7. The method for selecting and evaluating the building engineering material suppliers based on the multidimensional feature analysis according to claim 6, wherein the method comprises the following steps: the headquarter evaluation coefficients corresponding to the suppliers to be analyzed comprise the following specific analysis methods:
extracting the sum JE of each headquarter historical order corresponding to each supplier to be analyzed fx Wherein x is the number of each headquarter historical order, x=1, 2, and y, and average processing is performed on the number to obtain an average amount J corresponding to each supplier to be analyzed f ；
Extracting the maximum transaction amount corresponding to each to-be-analyzed supplier based on the amount of each to-be-analyzed supplier corresponding to each headquarter historical order
Figure FDA0004139475620000051
And minimum amount of transaction->
Figure FDA0004139475620000052
Counting the number of deals of the highest-level responsible company to which the target item belongs corresponding to each supplier to be analyzed, so as to analyze the headquarter evaluation coefficient corresponding to each supplier to be analyzed
Figure FDA0004139475620000053
Wherein ρ is 1 、ρ 2 The correction factors are respectively indicated as proper sum and corresponding sum deviation, and JT' is indicated as preset allowed sum error.
8. The method for selecting and evaluating building engineering material suppliers based on multidimensional feature analysis according to claim 6, wherein the method comprises the following steps ofIn the following steps: the comprehensive selection tendency coefficient corresponding to each supplier to be analyzed has a calculation formula as follows: ZX (ZX) f ＝ln(1+XC f *τ 1 +PJ f *τ 2 ) Wherein τ 1 、τ 2 Respectively representing the corresponding duty ratio coefficients of the preset responsibility manager evaluation and the headquarter evaluation.
9. The method for selecting and evaluating the building engineering material suppliers based on the multidimensional feature analysis according to claim 8, wherein the method comprises the following steps: the method for analyzing the historical delivery quality coefficient corresponding to each supplier to be analyzed comprises the following specific steps:
acquiring relevant parameters corresponding to each transaction of each to-be-analyzed provider, wherein the relevant parameters comprise a grading value PF fh Predicted delivery time point T f ′ h Actual delivery time point T fh Amount of assembly fh And prepaid mat fund amount Q' fh Where h is the number of each transaction, h=1, 2, g;
analyzing the historical delivery quality coefficients corresponding to each supplier to be analyzed
Figure FDA0004139475620000061
Where g is expressed as the number of transactions, T is expressed as the number of suppliers to be analyzed, and T "is expressed as a preset allowable delivery error.
10. The method for selecting and evaluating the building engineering material suppliers based on the multidimensional feature analysis according to claim 9, wherein the method comprises the following steps: the method is characterized by analyzing the comprehensive evaluation coefficients corresponding to each to-be-analyzed supplier, and further carrying out corresponding processing on each to-be-analyzed supplier, and comprises the following specific steps:
extracting a supply price suitability coefficient SD corresponding to each supplier to be analyzed based on the supply price suitability coefficient corresponding to each qualified supplier f Further analyzing the comprehensive quality coefficient corresponding to each supplier to be analyzed
Figure FDA0004139475620000062
Wherein τ 1 、τ 2 、τ 3 Respectively representing correction coefficients corresponding to preset supply price, comprehensive selection tendency and historical delivery quality;
screening the maximum comprehensive quality coefficient psi based on the comprehensive quality coefficient corresponding to each supplier to be analyzed max And a minimum combined quality coefficient psi min Further, the comprehensive evaluation coefficients corresponding to the suppliers to be analyzed can be obtained by adopting the following standard 0-1 standard method
Figure FDA0004139475620000063
Sequencing the suppliers to be analyzed according to the sequence from high to low of the corresponding comprehensive evaluation coefficients to obtain sequenced suppliers to be analyzed, marking the first-ranked suppliers to be analyzed as target suppliers, and sending the target suppliers to a responsibility manager.
CN202310285056.5A 2023-03-22 2023-03-22 Building engineering material provider selection evaluation method based on multidimensional feature analysis Pending CN116385057A (en)

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116796202A (en) * 2023-07-17 2023-09-22 上海朗晖慧科技术有限公司 Equipment data matching method based on big data and abnormal data processing system
CN116796202B (en) * 2023-07-17 2024-06-04 上海朗晖慧科技术有限公司 Equipment data matching method based on big data and abnormal data processing system
CN116993116A (en) * 2023-08-30 2023-11-03 杭州静嘉科技有限公司 Distribution method and equipment for outsourcing human resources
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