CN114331229A - Comprehensive balancing method and system for equipment guarantee scheme - Google Patents
Comprehensive balancing method and system for equipment guarantee scheme Download PDFInfo
- Publication number
- CN114331229A CN114331229A CN202210234757.1A CN202210234757A CN114331229A CN 114331229 A CN114331229 A CN 114331229A CN 202210234757 A CN202210234757 A CN 202210234757A CN 114331229 A CN114331229 A CN 114331229A
- Authority
- CN
- China
- Prior art keywords
- matrix
- scheme
- equipment
- evaluation index
- plan
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Landscapes
- Complex Calculations (AREA)
Abstract
The invention discloses a comprehensive balancing method and a system for equipment guarantee schemes, which comprises the following steps: determining evaluation indexes, and acquiring evaluation index data of each evaluation index corresponding to each equipment guarantee scheme; determining a weighting decision matrix according to the evaluation index data and the weight corresponding to each evaluation index; determining a positive ideal scheme matrix and a negative ideal scheme matrix according to the weighting decision matrix; calculating a first proximity degree of each equipment guarantee scheme to the positive ideal scheme matrix and a second proximity degree of each equipment guarantee scheme to the negative ideal scheme matrix according to the weighted decision matrix, the positive ideal scheme matrix and the negative ideal scheme matrix; determining the relative closeness of each equipment guarantee scheme and the negative ideal scheme matrix according to the first closeness degree and the second closeness degree corresponding to each equipment guarantee scheme; and determining an optimal equipment guarantee scheme according to the equipment guarantee scheme corresponding to the maximum relative closeness.
Description
Technical Field
The invention relates to the technical field of equipment guarantee scheme evaluation, in particular to a comprehensive weighing method and a comprehensive weighing system for equipment guarantee schemes.
Background
The equipment guarantee scheme takes one-time combat/training task as traction, and takes the main body, guarantee system, guarantee business, guarantee relation, guarantee behavior and other elements of equipment guarantee into consideration to form a set of imagination scheme for supporting the combat/training task. When a plurality of schemes are formulated according to different guarantee modes, guarantee systems and guarantee requirements, an optimal guarantee scheme needs to be selected. However, how to construct an equipment guarantee capability index system, how to evaluate an equipment guarantee scheme, and how to comprehensively balance multiple guarantee schemes. Therefore, how to use the equipment task as traction, based on the current organization, summarize the traditional equipment guarantee mode, and use the original maintenance and guarantee experience for reference, form a guarantee scheme meeting the equipment guarantee requirements, which is a problem to be solved at present.
The existing comprehensive balance optimization aiming at the equipment guarantee scheme has various methods, such as qualitative analysis methods of an expert scoring method, an analytic hierarchy process and the like, and the problem of large interference of human factors exists.
Therefore, a new approach to the integrated trade-off of equipment safeguards is needed.
Disclosure of Invention
The invention provides a comprehensive weighing method and a comprehensive weighing system for equipment guarantee schemes, which aim to solve the problem of how to evaluate the equipment guarantee schemes to obtain optimal equipment guarantee schemes.
In order to solve the above-mentioned problems, according to an aspect of the present invention, there is provided an integrated weighing method of an equipment securing scheme, the method including:
determining evaluation indexes, and acquiring evaluation index data of each evaluation index corresponding to each equipment guarantee scheme;
determining a weighting decision matrix according to the evaluation index data and the weight corresponding to each evaluation index;
determining a positive ideal scheme matrix and a negative ideal scheme matrix according to the weighting decision matrix;
calculating a first proximity degree of each equipment guarantee scheme to the positive ideal scheme matrix and a second proximity degree of each equipment guarantee scheme to the negative ideal scheme matrix according to the weighted decision matrix, the positive ideal scheme matrix and the negative ideal scheme matrix;
determining the relative closeness of each equipment guarantee scheme and the negative ideal scheme matrix according to the first closeness degree and the second closeness degree corresponding to each equipment guarantee scheme;
and determining an optimal equipment guarantee scheme according to the equipment guarantee scheme corresponding to the maximum relative closeness.
Preferably, wherein the evaluation index includes: at least one of the following evaluation indices: equipment completeness, reliability, task success probability, availability, task reliability, average fault interval time, average fatal fault interval time, average repair time, average preventive repair time, maximum repair time, average spare part delay time, various guaranteed resource utilization rates, various guaranteed resource satisfaction rates, average fault interval time, average fatal fault interval time, average repair time, average preventive repair time, maintenance equipment number, maintenance equipment working hours, time for maintenance to occupy various guaranteed resources, the number of various guaranteed resources consumed for maintenance, spare part warehousing quantity and spare part consumption quantity.
Preferably, the determining a weighted decision matrix according to the evaluation index data and the weight corresponding to each evaluation index includes:
where M is a weighted decision matrix, Zm×nM is the number of equipment guarantee schemes as a decision matrix; n is the number of evaluation indexes; w n×1Is a weight matrix;
a weighted decision value corresponding to the nth evaluation index of the mth equipment guarantee scheme;
the corresponding weight of the nth evaluation index pair is obtained;
and the evaluation index data corresponds to the nth evaluation index of the mth equipment guarantee scheme.
Preferably, wherein the method further comprises:
for any evaluation index, when the index type to which the any evaluation index belongs is a benefit type index, performing normalization processing on the evaluation index data corresponding to the any evaluation index by using the following mode, wherein the normalization processing comprises the following steps:
when the index type of any evaluation index belongs to a cost-type index, normalization processing is performed on evaluation index data corresponding to the any evaluation index in the following mode, and the normalization processing comprises the following steps:
wherein the content of the first and second substances,
for the ith equipmentThe evaluation index data which is subjected to normalization processing and corresponds to the jth evaluation index of the guarantee scheme;
evaluating index data which is not subjected to normalization processing and corresponds to the jth evaluating index of the ith equipment guarantee scheme; i =1,2, …, m, j =1,2, …, n, m is the number of equipment warranty plans; n is the number of evaluation indexes.
Preferably, the determining a positive ideal solution matrix and a negative ideal solution matrix according to the weighted decision matrix includes:
determining a positive ideal scheme matrix according to the maximum value of each column in the weighting decision matrix;
and determining a negative ideal scheme matrix according to the minimum value of each column in the weighted decision matrix.
Preferably, the calculating a first proximity of each equipment safeguard scheme to the positive ideal scheme matrix and a second proximity of each equipment safeguard scheme to the negative ideal scheme matrix according to the weighted decision matrix, the positive ideal scheme matrix and the negative ideal scheme matrix comprises:
wherein the content of the first and second substances,
a first proximity of the ith equipment assurance plan to the positive ideal plan matrix;
a second proximity of the ith equipment assurance plan to the negative ideal plan matrix;
a weighted decision value corresponding to the jth evaluation index of the ith equipment guarantee scheme;
is the jth element in the positive ideal scheme matrix Y +;
is the jth element in the negative ideal scheme matrix Y-.
Preferably, the determining the relative closeness of each equipment assurance plan to the negative ideal plan matrix according to the first closeness and the second closeness corresponding to each equipment assurance plan includes:
wherein the content of the first and second substances,
relative closeness of the ith equipment guarantee scheme and the negative ideal scheme matrix is obtained;
a first proximity of the ith equipment assurance plan to the positive ideal plan matrix;
a second proximity of the ith equipment assurance plan to the negative ideal plan matrix.
According to another aspect of the present invention, there is provided an integrated balance system of equipment securing schemes, the system including:
the data acquisition unit is used for determining the evaluation indexes and acquiring the evaluation index data of each evaluation index corresponding to each equipment guarantee scheme;
a weighted decision matrix determining unit, configured to determine a weighted decision matrix according to the evaluation index data and the weight corresponding to each evaluation index;
the positive and negative ideal scheme matrix determining unit is used for determining a positive ideal scheme matrix and a negative ideal scheme matrix according to the weighting decision matrix;
the proximity calculation unit is used for calculating a first proximity of each equipment guarantee scheme and the positive ideal scheme matrix and a second proximity of each equipment guarantee scheme and the negative ideal scheme matrix according to the weighted decision matrix, the positive ideal scheme matrix and the negative ideal scheme matrix;
the relative closeness determining unit is used for determining the relative closeness of each equipment guarantee scheme and the negative ideal scheme matrix according to the first closeness and the second closeness corresponding to each equipment guarantee scheme;
and the optimal equipment guarantee scheme determining unit is used for determining the optimal equipment guarantee scheme according to the equipment guarantee scheme corresponding to the maximum relative closeness.
Preferably, wherein the evaluation index includes: at least one of the following evaluation indices: equipment completeness, reliability, task success probability, availability, task reliability, average fault interval time, average fatal fault interval time, average repair time, average preventive repair time, maximum repair time, average spare part delay time, various guaranteed resource utilization rates, various guaranteed resource satisfaction rates, average fault interval time, average fatal fault interval time, average repair time, average preventive repair time, maintenance equipment number, maintenance equipment working hours, time for maintenance to occupy various guaranteed resources, the number of various guaranteed resources consumed for maintenance, spare part warehousing quantity and spare part consumption quantity.
Preferably, the determining unit of the weighted decision matrix determines the weighted decision matrix according to the evaluation index data and the weight corresponding to each evaluation index, and includes:
where M is a weighted decision matrix, Zm×nM is the number of equipment guarantee schemes as a decision matrix; n is the number of evaluation indexes; w n×1Is a weight matrix;
a weighted decision value corresponding to the nth evaluation index of the mth equipment guarantee scheme;
the corresponding weight of the nth evaluation index pair is obtained;
and the evaluation index data corresponds to the nth evaluation index of the mth equipment guarantee scheme.
Preferably, wherein the system further comprises: a normalization processing unit configured to:
for any evaluation index, when the index type to which the any evaluation index belongs is a benefit type index, performing normalization processing on the evaluation index data corresponding to the any evaluation index by using the following mode, wherein the normalization processing comprises the following steps:
when the index type of any evaluation index belongs to a cost-type index, normalization processing is performed on evaluation index data corresponding to the any evaluation index in the following mode, and the normalization processing comprises the following steps:
wherein the content of the first and second substances,
the method comprises the steps of normalizing evaluation index data corresponding to the jth evaluation index of the ith equipment guarantee scheme;
evaluating index data which is not subjected to normalization processing and corresponds to the jth evaluating index of the ith equipment guarantee scheme; i =1,2, …, m,j =1,2, …, n, m is the number of equipment warranty plans; n is the number of evaluation indexes.
Preferably, the positive and negative ideal scheme matrix determining unit determines a positive ideal scheme matrix and a negative ideal scheme matrix according to the weighted decision matrix, and includes:
determining a positive ideal scheme matrix according to the maximum value of each column in the weighting decision matrix;
and determining a negative ideal scheme matrix according to the minimum value of each column in the weighted decision matrix.
Preferably, the calculating the proximity degree includes calculating a first proximity degree of each equipment safeguard scheme to the positive ideal scheme matrix and a second proximity degree of each equipment safeguard scheme to the negative ideal scheme matrix according to the weighted decision matrix, the positive ideal scheme matrix and the negative ideal scheme matrix, and includes:
wherein the content of the first and second substances,
a first proximity of the ith equipment assurance plan to the positive ideal plan matrix;
a second proximity of the ith equipment assurance plan to the negative ideal plan matrix;
a weighted decision value corresponding to the jth evaluation index of the ith equipment guarantee scheme;
is the jth element in the positive ideal scheme matrix Y +;
is the jth element in the negative ideal scheme matrix Y-.
Preferably, the determining unit of relative proximity determines the relative proximity of each equipment assurance scheme to the negative ideal scheme matrix according to the first proximity and the second proximity corresponding to each equipment assurance scheme, and includes:
wherein the content of the first and second substances,
relative closeness of the ith equipment guarantee scheme and the negative ideal scheme matrix is obtained;
a first proximity of the ith equipment assurance plan to the positive ideal plan matrix;
a second proximity of the ith equipment assurance plan to the negative ideal plan matrix.
The invention provides a comprehensive balancing method and a system for equipment guarantee schemes, which comprises the following steps: determining evaluation indexes, and acquiring evaluation index data of each evaluation index corresponding to each equipment guarantee scheme; determining a weighting decision matrix according to the evaluation index data and the weight corresponding to each evaluation index; determining a positive ideal scheme matrix and a negative ideal scheme matrix according to the weighting decision matrix; calculating a first proximity degree and a second proximity degree according to the weighted decision matrix, the positive ideal scheme matrix and the negative ideal scheme matrix; determining the relative closeness of each equipment guarantee scheme and the negative ideal scheme matrix according to the first closeness degree and the second closeness degree; and determining an optimal equipment guarantee scheme according to the equipment guarantee scheme corresponding to the maximum relative closeness. The evaluation index system of the method is more comprehensive and effective, the equipment guarantee scheme can be evaluated on the whole, the multiple guarantee schemes can be efficiently decided, the comprehensive balance of the multiple guarantee schemes is realized, the optimal equipment guarantee scheme is determined, and the problems of overhigh subjectivity and lack of actual data support in evaluation can be avoided.
Drawings
A more complete understanding of exemplary embodiments of the present invention may be had by reference to the following drawings in which:
FIG. 1 is a flow diagram of a method 100 for integrated weighing of equipment safeguards in accordance with an embodiment of the present invention;
FIG. 2 is a schematic diagram of an equipment warranty assessment indicator system according to an embodiment of the present invention;
FIG. 3 is an exemplary diagram of implementing equipment safeguarding scheme integrated tradeoffs in accordance with an embodiment of the present invention;
FIG. 4 is a schematic diagram of an integrated tradeoff system 400 for equipment support schemes according to an embodiment of the present invention.
Detailed Description
The exemplary embodiments of the present invention will now be described with reference to the accompanying drawings, however, the present invention may be embodied in many different forms and is not limited to the embodiments described herein, which are provided for complete and complete disclosure of the present invention and to fully convey the scope of the present invention to those skilled in the art. The terminology used in the exemplary embodiments illustrated in the accompanying drawings is not intended to be limiting of the invention. In the drawings, the same units/elements are denoted by the same reference numerals.
Unless otherwise defined, terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Further, it will be understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense.
FIG. 1 is a flow diagram of a method 100 for integrated weighing of equipment safeguards in accordance with an embodiment of the present invention. As shown in fig. 1, the comprehensive balancing method for the equipment protection scheme provided by the embodiment of the invention has the advantages that an evaluation index system is more comprehensive and effective, the equipment protection scheme can be evaluated on the whole, a plurality of protection schemes can be efficiently decided, the comprehensive balancing of the multiple protection schemes is realized, the optimal equipment protection scheme is determined, and the problems of overhigh subjectivity and lack of actual data support in evaluation can be avoided. The method 100 for comprehensively balancing equipment security schemes provided by the embodiment of the invention starts from step 101, determines the evaluation indexes in step 101, and acquires the evaluation index data of each evaluation index corresponding to each equipment security scheme.
Preferably, wherein the evaluation index includes: at least one of the following evaluation indices: equipment completeness, reliability, task success probability, availability, task reliability, average fault interval time, average fatal fault interval time, average repair time, average preventive repair time, maximum repair time, average spare part delay time, various guaranteed resource utilization rates, various guaranteed resource satisfaction rates, average fault interval time, average fatal fault interval time, average repair time, average preventive repair time, maintenance equipment number, maintenance equipment working hours, time for maintenance to occupy various guaranteed resources, the number of various guaranteed resources consumed for maintenance, spare part warehousing quantity and spare part consumption quantity.
The invention analyzes an equipment guarantee scheme and aims to perform comprehensive balance selection of multiple guarantee schemes.
In the invention, when a comprehensive balance index system of a guarantee scheme is constructed, an equipment system and a guarantee organization are selected as index system objects for guaranteeing balance of the scheme, and a set of scheme capable of evaluating the guarantee capability of the equipment is constructed; the guarantee organization parameters mainly aim at maintenance organizations and supply organizations to construct parameter indexes reflecting the maintenance guarantee capability of the maintenance organizations.
In the invention, the evaluation of the equipment guarantee scheme is to construct an index system aiming at the evaluation of the equipment guarantee capability, and a whole set of index system for analysis and evaluation is constructed according to different objectives of the analysis of different guarantee schemes so as to measure the quality of the guarantee scheme.
The equipment guarantee capability index system is constructed by taking an equipment system and a guarantee organization as objects, and a plurality of guarantee capability indexes are established and organically matched with each other to form a set of index system, as shown in figure 2.
(1) Reliability, maintainability, and Supportability (RMS) parameters of equipment system
When the attribute of the equipment system is described, the attribute of the RMS parameter needs to be considered, the RMS parameter of an equipment layer and the RMS parameter of a system are respectively given through the RMS parameter analysis of the equipment until the RMS parameter of a replaceable unit Layer (LRU) is obtained, the parameters are collected according to the hardware structure of the equipment, and then the parameter set of the whole equipment can be obtained to form an equipment system evaluation model. The level of equipment varies, the characteristics of interest vary, and the parameters applicable to describe their characteristics vary. For an equipment system, comprehensive parameters are concerned more to evaluate equipment integrity, task success and task continuity, for a system and a replaceable unit formed by equipment and lower-level hardware thereof, RMS single parameters such as reliability, maintainability, supportability and other characteristic parameters are concerned more, and for special requirements of the equipment, certain single parameters such as average fault interval time, average repair time and the like can be selected to describe. Specifically, the equipment system RMS parameter system is shown in table 1, where the commonly used safeguard resources for equipment safeguard are safeguard facilities, safeguard stations, safeguard equipment, spare parts, and the like.
TABLE 1 Equipment systems RMS parameter systems
(2) Safeguarding tissue parameters
The maintenance organization is divided into a maintenance organization and an equipment warehouse according to two types of main bodies of equipment guarantee, the maintenance organization is responsible for the maintenance of the equipment, the equipment warehouse is responsible for the supply of spare parts, so that the evaluation indexes are different for different main bodies, the maintenance organization evaluation is the analysis of the maintenance process, and the equipment maintenance process constituent elements are the basis of the guarantee capability evaluation and mainly depend on the comprehensive process of maintenance equipment, personnel and resources. The difference between the equipment repair mode (including mobile repair and fixed repair) and the repair mode (including original repair and replacement repair) also affects the calculation of the guarantee capability index.
The equipment supply is a constraint factor of equipment maintenance, the maintenance time extension and spare part planning caused by different supply modes (such as temporary supply and timing supply) are considered, the equipment supply plan and the coordination capacity are considered during the supply, and an equipment supply evaluation model is the reasonable embodiment of a supply strategy. The guaranteed organization parameter system is shown in table 2.
TABLE 2 guaranteed organization parameter system
In the present invention, the evaluation index can be selected according to the above evaluation index system, and the evaluation index data of each evaluation index corresponding to each equipment security scheme is obtained, where the relationship between each scheme and the corresponding evaluation index data is shown in table 3.
TABLE 3 correspondence between the schemes and the evaluation index data
According to different concerns of the security scheme evaluation tradeoffs, indexes 1-n can be selected from all or part of tables 1 and 2, RijIs the evaluation index data corresponding to the jth evaluation index of the ith scenario.
In step 102, a weighted decision matrix is determined according to the evaluation index data and the weight corresponding to each evaluation index.
Preferably, the determining a weighted decision matrix according to the evaluation index data and the weight corresponding to each evaluation index includes:
where M is a weighted decision matrix, Zm×nM is the number of equipment guarantee schemes as a decision matrix; n is the number of evaluation indexes; w n×1Is a weight matrix;
a weighted decision value corresponding to the nth evaluation index of the mth equipment guarantee scheme;
the corresponding weight of the nth evaluation index pair is obtained;
and the evaluation index data corresponds to the nth evaluation index of the mth equipment guarantee scheme.
Preferably, wherein the method further comprises:
for any evaluation index, when the index type to which the any evaluation index belongs is a benefit type index, performing normalization processing on the evaluation index data corresponding to the any evaluation index by using the following mode, wherein the normalization processing comprises the following steps:
when the index type of any evaluation index belongs to a cost-type index, normalization processing is performed on evaluation index data corresponding to the any evaluation index in the following mode, and the normalization processing comprises the following steps:
wherein the content of the first and second substances,
the method comprises the steps of normalizing evaluation index data corresponding to the jth evaluation index of the ith equipment guarantee scheme;
evaluating index data which is not subjected to normalization processing and corresponds to the jth evaluating index of the ith equipment guarantee scheme; i =1,2, …, m, j =1,2, …, n, m is the number of equipment warranty plans; n is the number of evaluation indexes.
The ideal point method is an evaluation function method, and is a method for solving the multi-target object comprehensive balance by making each target value approximate to the ideal value or the optimal value as much as possible. At present, the problem of multi-objective decision analysis is solved by an ideal point method, relative quality ordering is carried out through a plurality of objects, the optimal solution of a one-point range is determined, and the quality ordering is carried out on the plurality of target objects in the comprehensive balancing of the scheme.
In the invention, after the evaluation index is determined and the evaluation index data is obtained, the evaluation index data can be normalized in advance to obtain a normalized decision matrix, and then a weighted decision matrix is obtained according to the normalized decision matrix and the weight.
In particular, R for each safeguard schemeijAnd dividing the set to distinguish a benefit type index set and a cost type index set which influence the experimental scheme. The index type of each evaluation index can be obtained according to table 1 and table 2.
For the evaluation indexes in the benefit index set, the larger the index evaluation data is, the better the index evaluation data is, the following formula is utilized to carry out normalization processing on the benefit indexes, and the normalization processing comprises the following steps:
for the evaluation indexes in the cost type index set, the smaller the index evaluation data is, the better the index evaluation data is, the normalization processing is performed on the cost type index by using the following formula, including:
the normalized decision matrix obtained by the normalization process is: z = [ Z ]ij]，
Wherein the content of the first and second substances,
the method comprises the steps of normalizing evaluation index data corresponding to the jth evaluation index of the ith equipment guarantee scheme;
evaluating index data which is not subjected to normalization processing and corresponds to the jth evaluating index of the ith equipment guarantee scheme; i =1,2, …, m, j =1,2, …, n, m is the number of equipment warranty plans; n is the number of evaluation indexes.
Determining a weighted decision matrix by combining the normalized decision matrix Z = [ zij ] after normalization processing and an index weight set of a guarantee scheme, wherein the method comprises the following steps:
where M is a weighted decision matrix, Zm×nM is the number of equipment guarantee schemes as a decision matrix; n is the number of evaluation indexes; wn×1Is a weight matrix;
is as followsWeighting decision values corresponding to the nth evaluation indexes of the m equipment guarantee schemes;
the corresponding weight of the nth evaluation index pair is obtained;
and the evaluation index data corresponds to the nth evaluation index of the mth equipment guarantee scheme.
In step 103, a positive ideal solution matrix and a negative ideal solution matrix are determined from the weighted decision matrix.
Preferably, the determining a positive ideal solution matrix and a negative ideal solution matrix according to the weighted decision matrix includes:
determining a positive ideal scheme matrix according to the maximum value of each column in the weighting decision matrix;
and determining a negative ideal scheme matrix according to the minimum value of each column in the weighted decision matrix.
In the invention, after the weighting decision matrix M is determined, the maximum value of each column is selected in the M matrix to form a positive ideal scheme matrix Y + = Max [ M [ ]ij]Selecting the minimum value of each column in the M matrix to form a positive ideal scheme matrix Y- = Min [ M [)ij]。
In step 104, a first proximity of each equipment safeguard scheme to the positive ideal scheme matrix and a second proximity of each equipment safeguard scheme to the negative ideal scheme matrix are calculated based on the weighted decision matrix, the positive ideal scheme matrix, and the negative ideal scheme matrix.
Preferably, the calculating a first proximity of each equipment safeguard scheme to the positive ideal scheme matrix and a second proximity of each equipment safeguard scheme to the negative ideal scheme matrix according to the weighted decision matrix, the positive ideal scheme matrix and the negative ideal scheme matrix comprises:
wherein the content of the first and second substances,
a first proximity of the ith equipment assurance plan to the positive ideal plan matrix;
a second proximity of the ith equipment assurance plan to the negative ideal plan matrix;
a weighted decision value corresponding to the jth evaluation index of the ith equipment guarantee scheme;
is the jth element in the positive ideal scheme matrix Y +;
is the jth element in the negative ideal scheme matrix Y-.
In step 105, a relative closeness of each equipment assurance plan to the negative ideal plan matrix is determined according to the first closeness and the second closeness corresponding to each equipment assurance plan.
Preferably, the determining the relative closeness of each equipment assurance plan to the negative ideal plan matrix according to the first closeness and the second closeness corresponding to each equipment assurance plan includes:
wherein the content of the first and second substances,
relative closeness of the ith equipment guarantee scheme and the negative ideal scheme matrix is obtained;
provisioning scheme and for ith equipmentA first proximity of a positive ideal solution matrix;
a second proximity of the ith equipment assurance plan to the negative ideal plan matrix.
In the invention, the proximity degree from each decision-making safeguard scheme to the positive ideal scheme Y + and the negative ideal scheme Y-is respectively calculated, and then the relative proximity degree from each decision-making safeguard scheme i to the negative ideal scheme Y-is determined according to the proximity degree.
Wherein, the proximity degree of each decision-making safeguard scheme i and the positive ideal scheme matrix Y +
Comprises the following steps:
the closeness of each decision-making scheme i to the negative ideal scheme matrix Y-
Comprises the following steps:
then, calculating the relative closeness of each decision-making guarantee scheme i and the negative ideal scheme matrix Y < - >;
wherein the content of the first and second substances,
a first proximity of the ith equipment assurance plan to the positive ideal plan matrix;
a second proximity of the ith equipment assurance plan to the negative ideal plan matrix;
a weighted decision value corresponding to the jth evaluation index of the ith equipment guarantee scheme;
is the jth element in the positive ideal scheme matrix Y +;
is the jth element in the negative ideal scheme matrix Y-;
and ensuring the relative closeness of the ith equipment guarantee scheme and the negative ideal scheme matrix.
In step 106, an optimal equipment assurance scheme is determined according to the equipment assurance scheme corresponding to the maximum relative closeness.
In the invention, the schemes participating in the decision are ordered according to the di value from large to small, and if the di value is the largest, the corresponding decision scheme can be considered to be optimal. As shown in fig. 3, the proximity of the safeguard scheme 3 to the negative ideal scheme is the greatest, and the corresponding decision scheme is the best.
In the current practical application, the comprehensive balance is carried out aiming at different guarantee schemes, which is beneficial to the research of comprehensive guarantee of equipment, the invention constructs index parameters which accord with the evaluation of the guarantee capability of the equipment aiming at the guarantee schemes, and applies the ideal point method of multi-objective analysis, so that the equipment guarantee service can be analyzed close to the real situation, the research of the comprehensive guarantee capability of the equipment and a guarantee system thereof is beneficial, the balance and optimization of a plurality of guarantee schemes are realized, and the theoretical support is provided for the optimization of the guarantee schemes; meanwhile, in order to better solve the problem by applying the method, a software program is built through C #, so that the application efficiency is improved. The evaluation method has the advantages that the evaluation of the guarantee schemes is continuously enriched, the diversity of the parameters is increased, the balance optimization of a plurality of guarantee schemes closer to the equipment guarantee service is facilitated, reasonable and efficient schemes which accord with actual conditions are formed, effective improvement suggestions are provided for weak links of the comprehensive guarantee capability of the equipment, and a working method suitable for comprehensive guarantee of the equipment is formed.
FIG. 4 is a schematic diagram of an integrated tradeoff system 400 for equipment support schemes according to an embodiment of the present invention. As shown in fig. 4, the integrated weighing system 400 for equipment securing scheme provided by the embodiment of the present invention includes: a data acquisition unit 401, a weighted decision matrix determination unit 402, a positive and negative ideal scheme matrix determination unit 403, a proximity calculation unit 404, a relative closeness determination unit 405, and an optimal equipment assurance scheme determination unit 406.
Preferably, the data acquiring unit 401 is configured to determine an evaluation index, and acquire evaluation index data of each evaluation index corresponding to each equipment support plan.
Preferably, wherein the evaluation index includes: at least one of the following evaluation indices: equipment completeness, reliability, task success probability, availability, task reliability, average fault interval time, average fatal fault interval time, average repair time, average preventive repair time, maximum repair time, average spare part delay time, various guaranteed resource utilization rates, various guaranteed resource satisfaction rates, average fault interval time, average fatal fault interval time, average repair time, average preventive repair time, maintenance equipment number, maintenance equipment working hours, time for maintenance to occupy various guaranteed resources, the number of various guaranteed resources consumed for maintenance, spare part warehousing quantity and spare part consumption quantity.
Preferably, the weighted decision matrix determining unit 402 is configured to determine a weighted decision matrix according to the evaluation index data and the weight corresponding to each evaluation index.
Preferably, the determining unit 402 of the weighted decision matrix determines the weighted decision matrix according to the evaluation index data and the weight corresponding to each evaluation index, including:
where M is a weighted decision matrix, Zm×nM is the number of equipment guarantee schemes as a decision matrix; n is the number of evaluation indexes; w n×1Is a weight matrix;
a weighted decision value corresponding to the nth evaluation index of the mth equipment guarantee scheme;
the corresponding weight of the nth evaluation index pair is obtained;
and the evaluation index data corresponds to the nth evaluation index of the mth equipment guarantee scheme.
Preferably, wherein the system further comprises: a normalization processing unit configured to:
for any evaluation index, when the index type to which the any evaluation index belongs is a benefit type index, performing normalization processing on the evaluation index data corresponding to the any evaluation index by using the following mode, wherein the normalization processing comprises the following steps:
when the index type of any evaluation index belongs to a cost-type index, normalization processing is performed on evaluation index data corresponding to the any evaluation index in the following mode, and the normalization processing comprises the following steps:
wherein the content of the first and second substances,
for the ith equipmentThe evaluation index data which is subjected to normalization processing and corresponds to the jth evaluation index of the barrier scheme;
evaluating index data which is not subjected to normalization processing and corresponds to the jth evaluating index of the ith equipment guarantee scheme; i =1,2, …, m, j =1,2, …, n, m is the number of equipment warranty plans; n is the number of evaluation indexes.
Preferably, the positive and negative ideal scheme matrix determining unit 403 is configured to determine a positive ideal scheme matrix and a negative ideal scheme matrix according to the weighted decision matrix.
Preferably, the positive and negative ideal scheme matrix determining unit 403 determines a positive ideal scheme matrix and a negative ideal scheme matrix according to the weighted decision matrix, including:
determining a positive ideal scheme matrix according to the maximum value of each column in the weighting decision matrix;
and determining a negative ideal scheme matrix according to the minimum value of each column in the weighted decision matrix.
Preferably, the proximity calculation unit 404 is configured to calculate a first proximity of each equipment safeguard scheme to the positive ideal scheme matrix and a second proximity of each equipment safeguard scheme to the negative ideal scheme matrix according to the weighted decision matrix, the positive ideal scheme matrix and the negative ideal scheme matrix.
Preferably, the calculating the proximity degree by the proximity degree calculating unit 404, according to the weighted decision matrix, the positive ideal scheme matrix and the negative ideal scheme matrix, calculates a first proximity degree of each equipment safeguard scheme to the positive ideal scheme matrix and a second proximity degree of each equipment safeguard scheme to the negative ideal scheme matrix, including:
wherein the content of the first and second substances,
is as followsA first proximity of the i equipment assurance schemes to the positive ideal scheme matrix;
a second proximity of the ith equipment assurance plan to the negative ideal plan matrix;
a weighted decision value corresponding to the jth evaluation index of the ith equipment guarantee scheme;
is the jth element in the positive ideal scheme matrix Y +;
is the jth element in the negative ideal scheme matrix Y-.
Preferably, the relative closeness determining unit 405 is configured to determine the relative closeness of each equipment assurance scheme and the negative ideal scheme matrix according to the first closeness and the second closeness corresponding to each equipment assurance scheme.
Preferably, the determining unit 405 determines the relative proximity of each equipment assurance plan to the negative ideal plan matrix according to the first proximity and the second proximity corresponding to each equipment assurance plan, and includes:
wherein the content of the first and second substances,
relative closeness of the ith equipment guarantee scheme and the negative ideal scheme matrix is obtained;
a first proximity of the ith equipment assurance plan to the positive ideal plan matrix;
a second proximity of the ith equipment assurance plan to the negative ideal plan matrix.
Preferably, the optimal equipment protection scheme determining unit 406 is configured to determine the optimal equipment protection scheme according to the equipment protection scheme corresponding to the maximum relative closeness.
The integrated weighing system 400 of the equipment protection scheme according to the embodiment of the present invention corresponds to the integrated weighing method 100 of the equipment protection scheme according to another embodiment of the present invention, and is not described herein again.
The invention has been described with reference to a few embodiments. However, other embodiments of the invention than the one disclosed above are equally possible within the scope of the invention, as would be apparent to a person skilled in the art from the appended patent claims.
Generally, all terms used in the claims are to be interpreted according to their ordinary meaning in the technical field, unless explicitly defined otherwise herein. All references to "a/an/the [ device, component, etc ]" are to be interpreted openly as referring to at least one instance of said device, component, etc., unless explicitly stated otherwise. The steps of any method disclosed herein do not have to be performed in the exact order disclosed, unless explicitly stated.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
Claims (14)
1. A method for integrating trade-offs of equipment assurance schemes, the method comprising:
determining evaluation indexes, and acquiring evaluation index data of each evaluation index corresponding to each equipment guarantee scheme;
determining a weighting decision matrix according to the evaluation index data and the weight corresponding to each evaluation index;
determining a positive ideal scheme matrix and a negative ideal scheme matrix according to the weighting decision matrix;
calculating a first proximity degree of each equipment guarantee scheme to the positive ideal scheme matrix and a second proximity degree of each equipment guarantee scheme to the negative ideal scheme matrix according to the weighted decision matrix, the positive ideal scheme matrix and the negative ideal scheme matrix;
determining the relative closeness of each equipment guarantee scheme and the negative ideal scheme matrix according to the first closeness degree and the second closeness degree corresponding to each equipment guarantee scheme;
and determining an optimal equipment guarantee scheme according to the equipment guarantee scheme corresponding to the maximum relative closeness.
2. The method according to claim 1, wherein the evaluation index includes: at least one of the following evaluation indices: equipment completeness, reliability, task success probability, availability, task reliability, average fault interval time, average fatal fault interval time, average repair time, average preventive repair time, maximum repair time, average spare part delay time, various guaranteed resource utilization rates, various guaranteed resource satisfaction rates, average fault interval time, average fatal fault interval time, average repair time, average preventive repair time, maintenance equipment number, maintenance equipment working hours, time for maintenance to occupy various guaranteed resources, the number of various guaranteed resources consumed for maintenance, spare part warehousing quantity and spare part consumption quantity.
3. The method of claim 1, wherein determining a weighted decision matrix according to the evaluation index data and the weight corresponding to each evaluation index comprises:
where M is a weighted decision matrix, Zm×nM is the number of equipment guarantee schemes as a decision matrix; n is the number of evaluation indexes; wn×1Is a weight matrix;
a weighted decision value corresponding to the nth evaluation index of the mth equipment guarantee scheme;
the corresponding weight of the nth evaluation index pair is obtained;
and the evaluation index data corresponds to the nth evaluation index of the mth equipment guarantee scheme.
4. The method of claim 1, further comprising:
for any evaluation index, when the index type to which the any evaluation index belongs is a benefit type index, performing normalization processing on the evaluation index data corresponding to the any evaluation index by using the following mode, wherein the normalization processing comprises the following steps:
when the index type of any evaluation index belongs to a cost-type index, normalization processing is performed on evaluation index data corresponding to the any evaluation index in the following mode, and the normalization processing comprises the following steps:
wherein the content of the first and second substances,
the method comprises the steps of normalizing evaluation index data corresponding to the jth evaluation index of the ith equipment guarantee scheme;
evaluating index data which is not subjected to normalization processing and corresponds to the jth evaluating index of the ith equipment guarantee scheme; i =1,2, …, m, j =1,2, …, n, m is the number of equipment warranty plans; n is the number of evaluation indexes.
5. The method of claim 1, wherein determining a positive ideal solution matrix and a negative ideal solution matrix from the weighted decision matrix comprises:
determining a positive ideal scheme matrix according to the maximum value of each column in the weighting decision matrix;
and determining a negative ideal scheme matrix according to the minimum value of each column in the weighted decision matrix.
6. The method of claim 1, wherein calculating a first proximity of each equipment assurance plan to a positive ideal plan matrix and a second proximity of each equipment assurance plan to a negative ideal plan matrix based on the weighted decision matrix, positive ideal plan matrix, and negative ideal plan matrix comprises:
wherein the content of the first and second substances,
a first proximity of the ith equipment assurance plan to the positive ideal plan matrix;
a second proximity of the ith equipment assurance plan to the negative ideal plan matrix;
a weighted decision value corresponding to the jth evaluation index of the ith equipment guarantee scheme;
is the jth element in the positive ideal scheme matrix Y +;
is the jth element in the negative ideal scheme matrix Y-.
7. The method of claim 1, wherein determining the relative proximity of each equipment assurance plan to the negative ideal plan matrix based on the first proximity and the second proximity corresponding to each equipment assurance plan comprises:
wherein the content of the first and second substances,
relative closeness of the ith equipment guarantee scheme and the negative ideal scheme matrix is obtained;
a first proximity of the ith equipment assurance plan to the positive ideal plan matrix;
a second proximity of the ith equipment assurance plan to the negative ideal plan matrix.
8. An integrated balance system for equipment assurance solutions, the system comprising:
the data acquisition unit is used for determining the evaluation indexes and acquiring the evaluation index data of each evaluation index corresponding to each equipment guarantee scheme;
a weighted decision matrix determining unit, configured to determine a weighted decision matrix according to the evaluation index data and the weight corresponding to each evaluation index;
the positive and negative ideal scheme matrix determining unit is used for determining a positive ideal scheme matrix and a negative ideal scheme matrix according to the weighting decision matrix;
the proximity calculation unit is used for calculating a first proximity of each equipment guarantee scheme and the positive ideal scheme matrix and a second proximity of each equipment guarantee scheme and the negative ideal scheme matrix according to the weighted decision matrix, the positive ideal scheme matrix and the negative ideal scheme matrix;
the relative closeness determining unit is used for determining the relative closeness of each equipment guarantee scheme and the negative ideal scheme matrix according to the first closeness and the second closeness corresponding to each equipment guarantee scheme;
and the optimal equipment guarantee scheme determining unit is used for determining the optimal equipment guarantee scheme according to the equipment guarantee scheme corresponding to the maximum relative closeness.
9. The system of claim 8, wherein the evaluation index comprises: at least one of the following evaluation indices: equipment completeness, reliability, task success probability, availability, task reliability, average fault interval time, average fatal fault interval time, average repair time, average preventive repair time, maximum repair time, average spare part delay time, various guaranteed resource utilization rates, various guaranteed resource satisfaction rates, average fault interval time, average fatal fault interval time, average repair time, average preventive repair time, maintenance equipment number, maintenance equipment working hours, time for maintenance to occupy various guaranteed resources, the number of various guaranteed resources consumed for maintenance, spare part warehousing quantity and spare part consumption quantity.
10. The system according to claim 8, wherein the weighted decision matrix determining unit determines a weighted decision matrix according to the evaluation index data and the weight corresponding to each evaluation index, and includes:
where M is a weighted decision matrix, Zm×nM is the number of equipment guarantee schemes as a decision matrix; n is the number of evaluation indexes; wn×1Is a weight matrix;
a weighted decision value corresponding to the nth evaluation index of the mth equipment guarantee scheme;
the corresponding weight of the nth evaluation index pair is obtained;
and the evaluation index data corresponds to the nth evaluation index of the mth equipment guarantee scheme.
11. The system of claim 8, further comprising: a normalization processing unit configured to:
for any evaluation index, when the index type to which the any evaluation index belongs is a benefit type index, performing normalization processing on the evaluation index data corresponding to the any evaluation index by using the following mode, wherein the normalization processing comprises the following steps:
when the index type of any evaluation index belongs to a cost-type index, normalization processing is performed on evaluation index data corresponding to the any evaluation index in the following mode, and the normalization processing comprises the following steps:
wherein the content of the first and second substances,
the method comprises the steps of normalizing evaluation index data corresponding to the jth evaluation index of the ith equipment guarantee scheme;
evaluating index data which is not subjected to normalization processing and corresponds to the jth evaluating index of the ith equipment guarantee scheme; i =1,2, …, m, j =1,2, …, n, m is the number of equipment warranty plans; n is the number of evaluation indexes.
12. The system of claim 8, wherein the positive and negative ideal scheme matrix determining unit determines a positive ideal scheme matrix and a negative ideal scheme matrix based on the weighted decision matrix, comprising:
determining a positive ideal scheme matrix according to the maximum value of each column in the weighting decision matrix;
and determining a negative ideal scheme matrix according to the minimum value of each column in the weighted decision matrix.
13. The system of claim 8, wherein the proximity calculation unit calculates a first proximity of each equipment assurance plan to a positive ideal plan matrix and a second proximity of each equipment assurance plan to a negative ideal plan matrix based on the weighted decision matrix, the positive ideal plan matrix, and the negative ideal plan matrix, comprises:
wherein the content of the first and second substances,
a first proximity of the ith equipment assurance plan to the positive ideal plan matrix;
a second proximity of the ith equipment assurance plan to the negative ideal plan matrix;
a weighted decision value corresponding to the jth evaluation index of the ith equipment guarantee scheme;
is the jth element in the positive ideal scheme matrix Y +;
is the jth element in the negative ideal scheme matrix Y-.
14. The system of claim 8, wherein the relative closeness determination unit determines the relative closeness of each equipment assurance plan to the negative ideal plan matrix based on the first and second closeness corresponding to each equipment assurance plan, comprising:
wherein the content of the first and second substances,
is the ithThe relative closeness of the equipment guarantee scheme and the negative ideal scheme matrix;
a first proximity of the ith equipment assurance plan to the positive ideal plan matrix;
a second proximity of the ith equipment assurance plan to the negative ideal plan matrix.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210234757.1A CN114331229A (en) | 2022-03-11 | 2022-03-11 | Comprehensive balancing method and system for equipment guarantee scheme |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210234757.1A CN114331229A (en) | 2022-03-11 | 2022-03-11 | Comprehensive balancing method and system for equipment guarantee scheme |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114331229A true CN114331229A (en) | 2022-04-12 |
Family
ID=81033163
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210234757.1A Pending CN114331229A (en) | 2022-03-11 | 2022-03-11 | Comprehensive balancing method and system for equipment guarantee scheme |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114331229A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117172611A (en) * | 2023-09-27 | 2023-12-05 | 北京瑞风协同科技股份有限公司 | Method, system and equipment for evaluating all-machine fastener in design and manufacturing process |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109242273A (en) * | 2018-08-20 | 2019-01-18 | 西南交通大学 | A kind of distribution network failure recovery scheme population evaluation method |
| CN109523183A (en) * | 2018-11-27 | 2019-03-26 | 中铁二院工程集团有限责任公司 | The evaluation method of railway construction scheme based on hybrid multi-attribute decision making |
| CN111008440A (en) * | 2019-12-04 | 2020-04-14 | 中国直升机设计研究所 | Method for comprehensively balancing five properties and performance based on ideal solution |
| CN111340306A (en) * | 2020-03-12 | 2020-06-26 | 郑州航空工业管理学院 | Machine tool equipment optimization method for intelligent manufacturing |
| US20200282503A1 (en) * | 2018-08-28 | 2020-09-10 | Dalian University Of Technology | Comprehensive performance evaluation method for cnc machine tools based on improved pull-off grade method |
-
2022
- 2022-03-11 CN CN202210234757.1A patent/CN114331229A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109242273A (en) * | 2018-08-20 | 2019-01-18 | 西南交通大学 | A kind of distribution network failure recovery scheme population evaluation method |
| US20200282503A1 (en) * | 2018-08-28 | 2020-09-10 | Dalian University Of Technology | Comprehensive performance evaluation method for cnc machine tools based on improved pull-off grade method |
| CN109523183A (en) * | 2018-11-27 | 2019-03-26 | 中铁二院工程集团有限责任公司 | The evaluation method of railway construction scheme based on hybrid multi-attribute decision making |
| CN111008440A (en) * | 2019-12-04 | 2020-04-14 | 中国直升机设计研究所 | Method for comprehensively balancing five properties and performance based on ideal solution |
| CN111340306A (en) * | 2020-03-12 | 2020-06-26 | 郑州航空工业管理学院 | Machine tool equipment optimization method for intelligent manufacturing |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117172611A (en) * | 2023-09-27 | 2023-12-05 | 北京瑞风协同科技股份有限公司 | Method, system and equipment for evaluating all-machine fastener in design and manufacturing process |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106548357B (en) | Client satisfaction evaluation method and system | |
| CN106779441B (en) | Method and device for predicting change risk | |
| CN107590569A (en) | A kind of data predication method and device | |
| CN111614491A (en) | Power monitoring system oriented safety situation assessment index selection method and system | |
| Tadić et al. | The evaluation and ranking of medical device suppliers by using fuzzy topsis methodology | |
| CN114331229A (en) | Comprehensive balancing method and system for equipment guarantee scheme | |
| Chatterjee et al. | Supplier selection using compromise ranking and outranking methods | |
| CN113554213A (en) | Natural gas demand prediction method, system, storage medium and equipment | |
| CN117196311A (en) | Railway engineering construction project risk management method | |
| CN111178731A (en) | Social unit dynamic fire risk assessment method based on big data enabling condition | |
| CN103646189A (en) | Comprehensive evaluation method for microorganism capacity verifying results | |
| CN117035158A (en) | System and method for evaluating energy storage optimization configuration of user side based on multiple profit modes | |
| CN115829209A (en) | Environment-friendly intelligent warehouse environment-friendly quality analysis method and device based on carbon path | |
| CN113592362A (en) | Urban power grid anti-disaster capability assessment method and related device | |
| Azadeh et al. | An integrated approach for configuration optimization in a CBM system by considering fatigue effects | |
| CN113867922B (en) | Task scheduling method suitable for mutual inductor metering performance online monitoring system | |
| Bae et al. | INTEGRATED RISK MANAGEMENT PROCESS TO ADDRESS THE PROBLEM OF ASSIGNING PILOT MISSIONS TO KOREAN ARMY HELICOPTER UNITS. | |
| Borgianni et al. | Integration of OTSM-TRIZ and Analytic Hierarchy Process for choosing the right solution | |
| CN113222461B (en) | AHP-CRITIC-based offshore wind power booster station cooling system evaluation method | |
| CN112749963A (en) | Estimation method and system for reducing radar life cycle cost | |
| Junying | On emergency of large scale engineering sports events | |
| CN105005738A (en) | Information security effect promotion method based on multi-attribute decision | |
| CN114912802A (en) | Power grid technical route differentiation formulation method and system | |
| CN116911487A (en) | Community gas pipeline leakage accident emergency resource optimization method and device | |
| Wang | Evaluation Model of Equipment's Operational Readiness Based on Entropy Weight Method and VIKOR Method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |