CN113177184A - Building material equipment manufacturing enterprise supplier selection method, equipment and storage medium - Google Patents

Building material equipment manufacturing enterprise supplier selection method, equipment and storage medium Download PDF

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CN113177184A
CN113177184A CN202110437950.0A CN202110437950A CN113177184A CN 113177184 A CN113177184 A CN 113177184A CN 202110437950 A CN202110437950 A CN 202110437950A CN 113177184 A CN113177184 A CN 113177184A
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index
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郭钧
张晓�
杜百岗
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Wuhan University of Technology WUT
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Abstract

The invention discloses a method, equipment and a storage medium for selecting suppliers of building material equipment manufacturing enterprises, wherein the method comprises the following steps: acquiring a plurality of evaluation indexes of alternative strategy suppliers; obtaining quantitative decision information of each alternative strategy supplier, and constructing a mixed multi-attribute decision matrix according to the quantitative decision information; converting the mixed multi-attribute decision matrix into an intuitive fuzzy multi-attribute matrix, and acquiring a decision reference point according to the intuitive fuzzy multi-attribute matrix; constructing a long-term cooperation matrix based on a foreground theory and the decision reference point to obtain a cooperation value of each alternative strategy supplier under each evaluation index; and calculating the weight of each evaluation index by adopting a fuzzy analytic hierarchy process, and selecting suppliers by adopting a fuzzy multi-criterion method according to the weight of each evaluation index and the long-term cooperation matrix. The invention solves the problem that the influence of the time factor on the cooperation value of the tactical supplier is neglected when the supplier selects at present.

Description

Building material equipment manufacturing enterprise supplier selection method, equipment and storage medium
Technical Field
The invention relates to the technical field of supplier selection, in particular to a method, equipment and a storage medium for selecting suppliers of building material equipment manufacturing enterprises.
Background
With the increasing market competition, customers have higher requirements on the response speed, the product quality, the manufacturing period, the after-sale service capacity and the like of enterprises, and have higher requirements on the coordination capacity between the enterprises and suppliers under the background of industrial division and refinement. However, due to the dynamics and complexity of modern market environments, strategic providers' performance during the collaboration period can fluctuate over time. Therefore, how to evaluate the dynamic service level of the strategy suppliers in a longer cooperation period and select strategy suppliers which accord with the development of enterprises from the perspective of long-term collaboration has important significance for building material equipment manufacturing enterprises.
At present, the research on the selection problem of suppliers mainly considers the synergistic effect from the construction of an evaluation index system, and has less research on the synergistic measure and development prospect of the suppliers. The complete set of building material equipment has complex manufacturing process and long construction period, and the coordination problem is considered only when the selection index of a supplier is constructed, so that the requirement change of building material equipment manufacturing enterprises and the dynamic and changeable selection environment in the selection process of the supplier are difficult to adapt.
Therefore, it is necessary to comprehensively consider the historical information, the current information and the future development information of suppliers in the cooperation process and deeply research the selection problem of strategic suppliers of building material equipment manufacturing enterprises.
Disclosure of Invention
The invention aims to overcome the technical defects, provides a supplier selection method, equipment and a storage medium for building material equipment manufacturing enterprises, and solves the technical problem that the influence of a time factor on a tactical supplier cooperation value is neglected when a supplier selects in the prior art.
In order to achieve the technical purpose, the invention adopts the following technical scheme:
in a first aspect, the present invention provides a method for selecting suppliers for building material equipment manufacturers, comprising the steps of:
acquiring a plurality of evaluation indexes of alternative strategy suppliers according to product requirements;
obtaining quantitative decision information of each alternative strategy supplier under each evaluation index, and constructing a mixed multi-attribute decision matrix according to the quantitative decision information;
converting the mixed multi-attribute decision matrix into an intuitive fuzzy multi-attribute matrix, and acquiring a decision reference point according to the intuitive fuzzy multi-attribute matrix;
constructing a long-term cooperation matrix based on a foreground theory and the decision reference point to obtain a cooperation value of each alternative strategy supplier under each evaluation index;
and calculating the weight of each evaluation index by adopting a fuzzy analytic hierarchy process, and selecting suppliers by adopting a fuzzy multi-criterion method according to the weight of each evaluation index and the long-term cooperation matrix.
Preferably, in the method for selecting suppliers of building material equipment manufacturers, the evaluation indexes at least include price, quality and supply efficiency.
Preferably, in the building material equipment manufacturing enterprise supplier selection method, the acquiring quantitative decision information of each alternative strategy supplier under each evaluation index and constructing a mixed multi-attribute decision matrix according to the quantitative decision information specifically includes:
and obtaining quantitative decision information of each alternative strategy supplier under each quantitative index according to the historical average information of the enterprises provided by each alternative strategy supplier, and constructing a mixed multi-attribute decision matrix based on the quantitative decision information.
Preferably, in the building material equipment manufacturing enterprise supplier selection method, the converting the mixed multi-attribute decision matrix into an intuitive fuzzy multi-attribute matrix, and the obtaining a decision reference point according to the intuitive fuzzy multi-attribute matrix specifically includes:
converting the quantitative decision information into a membership interval index;
and acquiring an intuitive fuzzy value of the membership interval index based on a preset membership grade intuitive fuzzy table.
Preferably, in the method for selecting suppliers of building material equipment manufacturers, the calculation model of the synergy value of each candidate strategy supplier under each evaluation index is specifically:
Figure BDA0003033811340000031
Figure BDA0003033811340000032
Figure BDA0003033811340000033
Figure BDA0003033811340000034
Figure BDA0003033811340000035
Figure BDA0003033811340000036
Figure BDA0003033811340000037
Figure BDA0003033811340000038
Figure BDA0003033811340000039
Figure BDA00030338113400000310
wherein, t0Representing a starting point for a business to collaborate with a strategic provider; t is t1Representing a point in time when a foreground event occurs; t is t2Representing business and strategic suppliersMaking an end point; t is t2-t0Representing the period of cooperation of the enterprise with the strategic provider;
Figure BDA0003033811340000041
representing a foreground event l affecting the strategic provider index j, at time t1Probability of occurrence with the ith supplier;
Figure BDA0003033811340000042
representing the probability that the foreground event does not occur during the collaboration period; omegaijRepresenting a set of foreground events that have an impact on the tactical provider index j,
Figure BDA0003033811340000043
a set of foreground events representing no effect on index j of a tactical supplier i; l isijRepresenting the number of foreground events that have an effect on the tactical provider index j,
Figure BDA0003033811340000044
representing the number of foreground events that have no effect on the tactical provider i index j;
Figure BDA0003033811340000045
representing a foreground event l influencing an index j of a strategy provider i, wherein when the foreground event l occurs to the strategy provider i, the distance between a foreground value of the index j of the strategy provider i and a decision reference point is obtained; rijA decision reference point representing the strategic provider index j;
Figure BDA0003033811340000046
representing a foreground event l having an influence on an index j of a strategic provider i, when the foreground event l occurs to a strategic provider i, the foreground event l has a foreground estimation value under the influence of the foreground event l;
Figure BDA0003033811340000047
representing the distance between the foreground value of the index j of the strategy supplier i and the decision reference point when the foreground event l influencing the index j of the strategy supplier i does not occur to the strategy supplier i; y isijRepresenting strategic suppliers i index jA current decision value;
Figure BDA0003033811340000048
representing the distance between the decision value of the index j of the supplier i and the decision reference point when a foreground event l without influence on the index j of the tactical supplier i occurs or does not occur in the strategic supplier i; vijRepresenting the synergy value of the strategy supplier i index j; theta reflects the sensitivity of the decision maker to loss, and alpha and beta reflect the attitude of the decision maker to risk.
Preferably, in the method for selecting suppliers of building material equipment manufacturers, the step of calculating the weight of each evaluation index by the fuzzy analytic hierarchy process specifically includes:
determining a target layer of a first layer of decisions, wherein the target layer of the first layer of decisions is to select an optimal strategic supplier for a building material equipment manufacturing enterprise;
based on a preset proportion scale, the importance of each evaluation index to the target layer of the first layer decision is scored pairwise to construct a first layer judgment matrix;
determining the principal eigenvector of the first layer judgment matrix by adopting a square root method, and carrying out normalization processing on the principal eigenvector of the first layer judgment matrix to obtain the weight of each primary evaluation index;
carrying out consistency check on the first layer judgment matrix;
constructing a second-layer decision target layer, wherein the second-layer decision target layer is each primary evaluation index;
calculating the contribution degree of each secondary evaluation index to the primary evaluation index of the secondary evaluation index according to a preset proportion scale, and respectively giving a judgment matrix of each secondary evaluation index;
calculating the relative importance of each secondary evaluation index relative to the primary evaluation index to which the secondary evaluation index belongs, and performing consistency check on the judgment matrix of each secondary evaluation index;
and calculating the weight of each secondary index according to the weight of the acquired primary evaluation index and the relative importance of each secondary evaluation index relative to the primary evaluation index to which the secondary evaluation index belongs.
Preferably, in the method for selecting suppliers of building material equipment manufacturers, the selecting suppliers by using a fuzzy multi-criteria method according to the weight of each evaluation index and the long-term cooperation matrix specifically includes:
determining long-term synergy positive ideal solution and long-term synergy negative ideal solution of each evaluation index;
calculating long-term cooperative group benefit values and long-term cooperative individual regret values of alternative strategy suppliers based on the long-term cooperative positive ideal solution and the long-term cooperative negative ideal solution of each evaluation index, the weight of each evaluation index and a long-term cooperative matrix;
calculating the long-term cooperative interest ratio of each alternative strategy supplier based on the long-term cooperative group benefit value and the long-term cooperative individual regret value of each alternative strategy supplier;
ranking each alternative strategy supplier based on the long-term cooperative interest proportion of each alternative strategy supplier, the long-term cooperative group benefit value of each alternative strategy supplier and the long-term cooperative individual regret value;
and selecting the optimal strategy supplier based on the sorting result.
Preferably, in the method for selecting suppliers of building material equipment manufacturers, the method for calculating the long-term synergy positive ideal solution and the long-term synergy negative ideal solution of each evaluation index is as follows:
Figure BDA0003033811340000061
Figure BDA0003033811340000062
wherein the content of the first and second substances,
Figure BDA0003033811340000063
represents a long-term synergistic positive ideal solution for the index j,
Figure BDA0003033811340000064
representing a long-term synergistic negative ideal solution for the index j;
the calculation method of the long-term cooperative interest ratio of each alternative strategy supplier, the long-term cooperative group benefit value of each alternative strategy supplier and the long-term cooperative individual regret value comprises the following steps:
Figure BDA0003033811340000065
Figure BDA0003033811340000066
Figure BDA0003033811340000067
wherein S isiRepresenting the long-term cooperative group benefit value of each alternative strategy supplier; riIndicating long-term synergistic individual regret QiRepresenting long-term synergy benefit ratios of alternative strategy suppliers; omegajRepresents the weight of the j index;
Figure BDA0003033811340000068
Figure BDA0003033811340000069
Figure BDA00030338113400000610
τ is the long-term cooperative group utility weight.
In a second aspect, the present invention also provides a building material equipment manufacturer supplier selection device comprising: a processor and a memory;
the memory has stored thereon a computer readable program executable by the processor;
the processor, when executing the computer readable program, implements the steps in the building material equipment manufacturer supplier selection method as described above.
In a third aspect, the present invention also provides a computer readable storage medium storing one or more programs executable by one or more processors to perform the steps in the building material equipment manufacturing enterprise supplier selection method as described above.
Compared with the prior art, the building material equipment manufacturing enterprise supplier selection method, the equipment and the storage medium provided by the invention consider the characteristics of complex structure, long design-manufacturing period and long cooperation period of a strategy supplier of the building material equipment, introduce the time influence factor when calculating the long-term cooperation value of the strategy supplier, fully consider the influence of the time factor, and construct the long-term cooperation value calculation model which meets the selection actual requirement of the strategy supplier of the building material equipment manufacturing enterprise, so that the evaluation method is more effective.
Drawings
FIG. 1 is a flow chart of a preferred embodiment of a building material equipment manufacturer supplier selection method provided by the present invention;
FIG. 2 is a graph of the impact of the foreground events employed by the present invention on the tactical provider.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, a method for selecting suppliers of building material equipment manufacturers according to an embodiment of the present invention includes the following steps:
s100, obtaining a plurality of evaluation indexes of alternative strategy suppliers according to product requirements.
Specifically, the invention firstly establishes an evaluation index system related to alternative strategy suppliers according to the product requirements of customers, and a plurality of evaluation indexes at least comprise price, quality and supply efficiency. Wherein, the price index includes price ratio and price fluctuation, the quality index includes product percent of pass, repair rate and quality control, and the supply efficiency index includes shipment efficiency, logistics quality and supply flexibility.
S200, obtaining quantitative decision information of each alternative strategy supplier under each evaluation index, and constructing a mixed multi-attribute decision matrix according to the quantitative decision information.
Specifically, the step S200 specifically includes:
and obtaining quantitative decision information of each alternative strategy supplier under each quantitative index according to the historical average information of the enterprises provided by each alternative strategy supplier, and constructing a mixed multi-attribute decision matrix based on the quantitative decision information.
Specifically, the invention provides quantitative evaluation for the evaluation indexes according to enterprise historical average information provided by a supplier, and further forms a mixed multi-attribute decision matrix.
S300, converting the mixed multi-attribute decision matrix into an intuitive fuzzy multi-attribute matrix, and acquiring a decision reference point according to the intuitive fuzzy multi-attribute matrix.
Specifically, the step S300 specifically includes:
converting the quantitative decision information into a membership interval index;
and acquiring an intuitive fuzzy value of the membership interval index based on a preset membership grade intuitive fuzzy table.
Specifically, the invention converts quantitative decision information into a membership interval index based on the following formula,
Figure BDA0003033811340000091
wherein the content of the first and second substances,
Figure BDA0003033811340000092
for the enterprise decision team to expect the interval range of the index j,
Figure BDA0003033811340000093
is a supplier siDecision information on the quantitative index j,
Figure BDA0003033811340000094
is composed of
Figure BDA0003033811340000095
The membership interval index of (1).
In a preferred embodiment, the predetermined membership level intuitive fuzzy table is shown as follows:
Figure BDA0003033811340000096
and S400, constructing a long-term cooperation matrix based on the foreground theory and the decision reference point to obtain the cooperation value of each alternative strategy supplier under each evaluation index.
Specifically, referring to fig. 2, the calculation model of the synergy value of each alternative strategy supplier under each evaluation index is specifically:
Figure BDA0003033811340000097
Figure BDA0003033811340000101
Figure BDA0003033811340000102
Figure BDA0003033811340000103
Figure BDA0003033811340000104
Figure BDA0003033811340000105
Figure BDA0003033811340000106
Figure BDA0003033811340000107
Figure BDA0003033811340000108
Figure BDA0003033811340000109
wherein, t0Representing a starting point for a business to collaborate with a strategic provider; t is t1Representing a point in time when a foreground event occurs; t is t2Representing an end point of a business's collaboration with a strategic provider; t is t2-t0Representing the period of cooperation of the enterprise with the strategic provider;
Figure BDA00030338113400001010
representing a foreground event l affecting the strategic provider index j, at time t1Probability of occurrence with the ith supplier;
Figure BDA00030338113400001011
representing the probability that the foreground event does not occur during the collaboration period; omegaijRepresenting a set of foreground events that have an impact on the tactical provider index j,
Figure BDA00030338113400001012
a set of foreground events representing no effect on index j of a tactical supplier i; l isijRepresenting the number of foreground events that have an effect on the tactical provider index j,
Figure BDA00030338113400001013
representing the number of foreground events that have no effect on the tactical provider i index j;
Figure BDA00030338113400001014
representing a foreground event l influencing an index j of a strategy provider i, wherein when the foreground event l occurs to the strategy provider i, the distance between a foreground value of the index j of the strategy provider i and a decision reference point is obtained; rijA decision reference point representing the strategic provider index j;
Figure BDA0003033811340000111
representing a foreground event l having an influence on an index j of a strategic provider i, when the foreground event l occurs to a strategic provider i, the foreground event l has a foreground estimation value under the influence of the foreground event l;
Figure BDA0003033811340000112
representing the distance between the foreground value of the index j of the strategy supplier i and the decision reference point when the foreground event l influencing the index j of the strategy supplier i does not occur to the strategy supplier i; y isijRepresenting the current decision value of the strategic provider index j;
Figure BDA0003033811340000113
representing the distance between the decision value of the index j of the supplier i and the decision reference point when a foreground event l without influence on the index j of the tactical supplier i occurs or does not occur in the strategic supplier i; vijRepresenting the synergy value of the strategy supplier i index j; theta reflects the sensitivity of the decision maker to loss, and alpha and beta reflect the attitude of the decision maker to risk.
And S500, calculating the weight of each evaluation index by adopting a fuzzy analytic hierarchy process, and selecting suppliers by adopting a fuzzy multi-criterion method according to the weight of each evaluation index and the long-term cooperation matrix.
Specifically, the step of calculating the weight of each evaluation index by the fuzzy analytic hierarchy process specifically includes:
(1) determining a target layer of a first layer of decisions, wherein the target layer of the first layer of decisions is to select an optimal strategic supplier for a building material equipment manufacturing enterprise;
(2) based on a preset proportion scale, the importance of each evaluation index to the target layer of the first layer decision is scored pairwise to construct a first layer judgment matrix;
(3) determining the principal eigenvector of the first layer judgment matrix by adopting a square root method, and carrying out normalization processing on the principal eigenvector of the first layer judgment matrix to obtain the weight of each primary evaluation index;
(4) carrying out consistency check on the first layer judgment matrix; specifically, the consistency of the judgment matrix is checked, a judgment matrix consistency check parameter CR is solved, if CR is more than or equal to 0 and less than 0.1, the weight obtained in the step (3) is the weight of the level 1 index, and otherwise, the judgment matrix is reconstructed;
(5) constructing a second-layer decision target layer, wherein the second-layer decision target layer is each primary evaluation index;
(6) calculating the contribution degree of each secondary evaluation index to the primary evaluation index of the secondary evaluation index according to a preset proportion scale, and respectively giving a judgment matrix of each secondary evaluation index;
(7) calculating the relative importance of each secondary evaluation index relative to the primary evaluation index to which the secondary evaluation index belongs, and performing consistency check on the judgment matrix of each secondary evaluation index;
(8) and calculating the weight of each secondary index according to the weight of the acquired primary evaluation index and the relative importance of each secondary evaluation index relative to the primary evaluation index to which the secondary evaluation index belongs.
The first-level evaluation index is one of the arbitrarily selected evaluation indexes, and the second-level evaluation index is the rest of the evaluation indexes except the first-level evaluation index. The preset scale is specifically shown in the following table:
Figure BDA0003033811340000121
further, the selecting, according to the weight of each evaluation index and the long-term cooperation matrix, the supplier by using the fuzzy multi-criterion method specifically includes:
determining long-term synergy positive ideal solution and long-term synergy negative ideal solution of each evaluation index;
calculating long-term cooperative group benefit values and long-term cooperative individual regret values of alternative strategy suppliers based on the long-term cooperative positive ideal solution and the long-term cooperative negative ideal solution of each evaluation index, the weight of each evaluation index and a long-term cooperative matrix;
calculating the long-term cooperative interest ratio of each alternative strategy supplier based on the long-term cooperative group benefit value and the long-term cooperative individual regret value of each alternative strategy supplier;
ranking each alternative strategy supplier based on the long-term cooperative interest proportion of each alternative strategy supplier, the long-term cooperative group benefit value of each alternative strategy supplier and the long-term cooperative individual regret value;
and selecting the optimal strategy supplier based on the sorting result.
The calculation method of the long-term synergy positive ideal solution and the long-term synergy negative ideal solution of each evaluation index comprises the following steps:
Figure BDA0003033811340000131
Figure BDA0003033811340000132
wherein the content of the first and second substances,
Figure BDA0003033811340000133
represents a long-term synergistic positive ideal solution for the index j,
Figure BDA0003033811340000134
representing a long-term synergistic negative ideal solution for the index j;
the calculation method of the long-term cooperative interest ratio of each alternative strategy supplier, the long-term cooperative group benefit value of each alternative strategy supplier and the long-term cooperative individual regret value comprises the following steps:
Figure BDA0003033811340000135
Figure BDA0003033811340000141
Figure BDA0003033811340000142
wherein S isiRepresenting the long-term cooperative group benefit value of each alternative strategy supplier; riIndicating long-term synergistic individual regret QiRepresenting long-term synergy benefit ratios of alternative strategy suppliers; omegajRepresents the weight of the j index;
Figure BDA0003033811340000143
Figure BDA0003033811340000144
Figure BDA0003033811340000145
τ is the long-term cooperative group utility weight.
In specifically selecting the optimal strategy supplier, Q is satisfied when the assumption condition 1 and the assumption condition 2 are simultaneously satisfiediThe smallest strategy supplier is the optimal strategy supplier. If only the condition 2 is passed, the strategy supplier with the smallest Q value and the strategy supplier with the second smallest Q value are considered as the optimum compromise strategy supplier.
Wherein, condition 1 specifically is:
Figure BDA0003033811340000146
wherein Q is(2)Represents the long-term synergy benefit ratio, Q, of the strategic supplier with the second smallest Q value(1)Representing the long-term synergy benefit ratio of the strategic supplier with the smallest Q value.
The condition 2 is specifically: s(1)＜S(2)∩R(1)＜R(2)Wherein S is(2)Long term cooperative group benefit value, S, representing the strategic supplier with the second smallest Q value(1)Long-term collaboration group representing strategic suppliers with minimum QValue of physical benefit, R(2)Long-term synergy regret value, R, representing the second smallest strategy supplier of Q(1)Representing the long-term synergy individual regret value of the strategic supplier with the smallest Q value.
Based on the above method for selecting suppliers of building material equipment manufacturers, the present invention further provides a corresponding equipment for selecting suppliers of building material equipment manufacturers, comprising: a processor and a memory;
the memory has stored thereon a computer readable program executable by the processor;
the processor, when executing the computer readable program, performs the steps in the building material equipment manufacturer supplier selection method as described in the various embodiments above.
Since the above description of the building material equipment manufacturer supplier selection method has been described in detail, it is not repeated here.
Based on the above-described building material equipment manufacturing supplier selection method, the present invention also provides a computer-readable storage medium storing one or more programs, which are executable by one or more processors to implement the steps of the building material equipment manufacturing supplier selection method according to the above-described embodiments.
Since the above description of the building material equipment manufacturer supplier selection method has been described in detail, it is not repeated here.
In summary, the building material equipment manufacturing enterprise supplier selection method, the equipment and the storage medium provided by the invention consider the characteristics of complex structure, long design-manufacturing period and long cooperation period of the strategy supplier of the building material equipment, introduce the time influence factor when calculating the long-term cooperation value of the strategy supplier, fully consider the influence of the time factor, and construct the long-term cooperation value calculation model which meets the selection actual requirement of the strategy supplier of the building material equipment manufacturing enterprise, so that the evaluation method is more effective.
The above-described embodiments of the present invention should not be construed as limiting the scope of the present invention. Any other corresponding changes and modifications made according to the technical idea of the present invention should be included in the protection scope of the claims of the present invention.

Claims (10)

1. A method for selecting suppliers for building material equipment manufacturing enterprises, comprising the steps of:
acquiring a plurality of evaluation indexes of alternative strategy suppliers according to product requirements;
obtaining quantitative decision information of each alternative strategy supplier under each evaluation index, and constructing a mixed multi-attribute decision matrix according to the quantitative decision information;
converting the mixed multi-attribute decision matrix into an intuitive fuzzy multi-attribute matrix, and acquiring a decision reference point according to the intuitive fuzzy multi-attribute matrix;
constructing a long-term cooperation matrix based on a foreground theory and the decision reference point to obtain a cooperation value of each alternative strategy supplier under each evaluation index;
and calculating the weight of each evaluation index by adopting a fuzzy analytic hierarchy process, and selecting suppliers by adopting a fuzzy multi-criterion method according to the weight of each evaluation index and the long-term cooperation matrix.
2. A building materials equipment manufacturer supplier selection method as in claim 1 wherein the plurality of evaluation metrics includes at least price, quality and supply efficiency.
3. The building material equipment manufacturing enterprise supplier selection method according to claim 1, wherein the obtaining quantitative decision information of each alternative strategy supplier under each evaluation index, and the constructing a hybrid multi-attribute decision matrix according to the quantitative decision information specifically comprises:
and obtaining quantitative decision information of each alternative strategy supplier under each quantitative index according to the historical average information of the enterprises provided by each alternative strategy supplier, and constructing a mixed multi-attribute decision matrix based on the quantitative decision information.
4. The building material equipment manufacturing business supplier selection method of claim 3, wherein converting the hybrid multi-attribute decision matrix into an intuitive fuzzy multi-attribute matrix, and obtaining decision reference points based on the intuitive fuzzy multi-attribute matrix specifically comprises:
converting the quantitative decision information into a membership interval index;
and acquiring an intuitive fuzzy value of the membership interval index based on a preset membership grade intuitive fuzzy table.
5. The building material equipment manufacturing enterprise supplier selection method according to claim 4, wherein the calculation model of the synergy value of each candidate strategy supplier under each evaluation index is specifically:
Figure FDA0003033811330000021
Figure FDA0003033811330000022
Figure FDA0003033811330000023
Figure FDA0003033811330000024
Figure FDA0003033811330000025
Figure FDA0003033811330000026
Figure FDA0003033811330000027
Figure FDA0003033811330000028
Figure FDA0003033811330000029
Figure FDA00030338113300000210
wherein, t0Representing a starting point for a business to collaborate with a strategic provider; t is t1Representing a point in time when a foreground event occurs; t is t2Representing an end point of a business's collaboration with a strategic provider; t is t2-t0Representing the period of cooperation of the enterprise with the strategic provider;
Figure FDA0003033811330000031
representing a foreground event l affecting the strategic provider index j, at time t1Probability of occurrence with the ith supplier;
Figure FDA0003033811330000032
representing the probability that the foreground event does not occur during the collaboration period; omegaijRepresenting a set of foreground events that have an impact on the tactical provider index j,
Figure FDA0003033811330000033
a set of foreground events representing no effect on index j of a tactical supplier i; l isijRepresenting the number of foreground events that have an effect on the tactical provider index j,
Figure FDA0003033811330000034
representing the number of foreground events that have no effect on the tactical provider i index j;
Figure FDA0003033811330000035
representing a foreground event l influencing an index j of a strategy provider i, wherein when the foreground event l occurs to the strategy provider i, the distance between a foreground value of the index j of the strategy provider i and a decision reference point is obtained; rijA decision reference point representing the strategic provider index j;
Figure FDA0003033811330000036
representing a foreground event l having an influence on an index j of a strategic provider i, when the foreground event l occurs to a strategic provider i, the foreground event l has a foreground estimation value under the influence of the foreground event l;
Figure FDA0003033811330000037
representing the distance between the foreground value of the index j of the strategy supplier i and the decision reference point when the foreground event l influencing the index j of the strategy supplier i does not occur to the strategy supplier i; y isijRepresenting the current decision value of the strategic provider index j;
Figure FDA0003033811330000038
representing the distance between the decision value of the index j of the supplier i and the decision reference point when a foreground event l without influence on the index j of the tactical supplier i occurs or does not occur in the strategic supplier i; vijRepresenting the synergy value of the strategy supplier i index j; theta reflects the sensitivity of the decision maker to loss, and alpha and beta reflect the attitude of the decision maker to risk.
6. The building material equipment manufacturer supplier selection method of claim 5, wherein the step of calculating the weight of each evaluation index by the fuzzy analytic hierarchy process specifically comprises:
determining a target layer of a first layer of decisions, wherein the target layer of the first layer of decisions is to select an optimal strategic supplier for a building material equipment manufacturing enterprise;
based on a preset proportion scale, the importance of each evaluation index to the target layer of the first layer decision is scored pairwise to construct a first layer judgment matrix;
determining the principal eigenvector of the first layer judgment matrix by adopting a square root method, and carrying out normalization processing on the principal eigenvector of the first layer judgment matrix to obtain the weight of each primary evaluation index;
carrying out consistency check on the first layer judgment matrix;
constructing a second-layer decision target layer, wherein the second-layer decision target layer is each primary evaluation index;
calculating the contribution degree of each secondary evaluation index to the primary evaluation index of the secondary evaluation index according to a preset proportion scale, and respectively giving a judgment matrix of each secondary evaluation index;
calculating the relative importance of each secondary evaluation index relative to the primary evaluation index to which the secondary evaluation index belongs, and performing consistency check on the judgment matrix of each secondary evaluation index;
and calculating the weight of each secondary index according to the weight of the acquired primary evaluation index and the relative importance of each secondary evaluation index relative to the primary evaluation index to which the secondary evaluation index belongs.
7. The building material equipment manufacturing company supplier selection method according to claim 6, wherein the selecting suppliers by the fuzzy multi-criteria method based on the weight of each evaluation index and the long-term cooperation matrix specifically comprises:
determining long-term synergy positive ideal solution and long-term synergy negative ideal solution of each evaluation index;
calculating long-term cooperative group benefit values and long-term cooperative individual regret values of alternative strategy suppliers based on the long-term cooperative positive ideal solution and the long-term cooperative negative ideal solution of each evaluation index, the weight of each evaluation index and a long-term cooperative matrix;
calculating the long-term cooperative interest ratio of each alternative strategy supplier based on the long-term cooperative group benefit value and the long-term cooperative individual regret value of each alternative strategy supplier;
ranking each alternative strategy supplier based on the long-term cooperative interest proportion of each alternative strategy supplier, the long-term cooperative group benefit value of each alternative strategy supplier and the long-term cooperative individual regret value;
and selecting the optimal strategy supplier based on the sorting result.
8. The building material equipment manufacturer supplier selection method of claim 1, wherein the long-term synergy positive ideal solution and the long-term synergy negative ideal solution for each evaluation index are calculated by:
Figure FDA0003033811330000051
Figure FDA0003033811330000052
wherein the content of the first and second substances,
Figure FDA0003033811330000053
represents a long-term synergistic positive ideal solution for the index j,
Figure FDA0003033811330000054
representing a long-term synergistic negative ideal solution for the index j;
the calculation method of the long-term cooperative interest ratio of each alternative strategy supplier, the long-term cooperative group benefit value of each alternative strategy supplier and the long-term cooperative individual regret value comprises the following steps:
Figure FDA0003033811330000055
Figure FDA0003033811330000056
Figure FDA0003033811330000057
wherein S isiRepresenting the long-term cooperative group benefit value of each alternative strategy supplier; riIndicating long-term synergistic individual regret QiRepresenting long-term synergy benefit ratios of alternative strategy suppliers; omegajRepresents the weight of the j index;
Figure FDA0003033811330000058
τ is the long-term cooperative group utility weight.
9. A building material equipment manufacturing enterprise supplier selection apparatus, comprising: a processor and a memory;
the memory has stored thereon a computer readable program executable by the processor;
the processor when executing the computer readable program performs the steps in the building material equipment manufacturing business supplier selection method of any one of claims 1-8.
10. A computer readable storage medium, wherein the computer readable storage medium stores one or more programs which are executable by one or more processors to perform the steps in the building material equipment manufacturer provider selection method of any of claims 1-8.
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116402403A (en) * 2023-04-20 2023-07-07 北京一凌宸飞科技有限公司 Supplier evaluation method and system
CN117273609A (en) * 2023-09-22 2023-12-22 广州巨斧科技有限公司 Method and system for selecting suppliers for enterprise purchasing

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103942609A (en) * 2014-03-28 2014-07-23 上海交通大学 Product service supply chain optimization designing method
WO2017036333A1 (en) * 2015-09-02 2017-03-09 阿里巴巴集团控股有限公司 Interaction event-based webpage item recommendation method and device
CN112488786A (en) * 2020-11-30 2021-03-12 广东电网有限责任公司 Supplier recommendation method and device based on user collaborative filtering

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103942609A (en) * 2014-03-28 2014-07-23 上海交通大学 Product service supply chain optimization designing method
WO2017036333A1 (en) * 2015-09-02 2017-03-09 阿里巴巴集团控股有限公司 Interaction event-based webpage item recommendation method and device
CN112488786A (en) * 2020-11-30 2021-03-12 广东电网有限责任公司 Supplier recommendation method and device based on user collaborative filtering

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
朱文豪: "协同视角下建材装备制造企业绿色供应商选择方法研究", 《中国优秀硕士学位论文全文数据库-经济与管理科学辑》, no. 07, pages 2 - 3 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116402403A (en) * 2023-04-20 2023-07-07 北京一凌宸飞科技有限公司 Supplier evaluation method and system
CN117273609A (en) * 2023-09-22 2023-12-22 广州巨斧科技有限公司 Method and system for selecting suppliers for enterprise purchasing

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