CN111428889A - Device and method for dividing external field replaceable unit L RU - Google Patents
Device and method for dividing external field replaceable unit L RU Download PDFInfo
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Abstract
The invention provides a device and a method for dividing outfield replaceable units L RUs, which relate to the field of product maintenance, and the device and the method introduce a grouped maintenance idea during L RU division, select an optimal unit combination by analyzing the influence of various maintenance correlations among components on possible L RU unit maintenance cost and maintenance time, and aiming at minimizing the total system maintenance cost and maximizing the maintenance saving time, and merge possible L RU units into a plurality of L RU groups with certain characteristics according to certain similarity criteria to generate a L RU multipart division scheme, thereby effectively improving the rationality of L RU planning design.
Description
Technical Field
The invention relates to the field of product maintenance, in particular to a L RU dividing method and device based on time and cost correlation
Background
The design of the L RU is mainly to improve the convenience of external field replacement, and mainly considers the simplicity of external field fault detection, fault diagnosis, replacement and recovery use tests, the design of a complex system is influenced by various factors, on the basis of meeting the functional design of a product, the planning of an external field replaceable unit (L RU) is required to be synchronous with the functional design and mutually coordinated and iterated, particularly, the division of the L RU determines the advantages and disadvantages of the maintainability design to a great extent, so that the reasonable L RU planning can greatly save maintenance time in external field maintenance, reduce unplanned shutdown caused by faults, improve the reliability of an equipment system, balance and optimization of the product design can be realized, and the maintenance difficulty of the product is reduced in the whole life cycle and the maintenance economy is improved.
The conventional L RU planning method includes the steps of firstly obtaining a preliminary functional unit list according to a function definition file FDD of a product, secondly, carrying out engineering classification on main factors influencing L RU planning design, and carrying out verification and evaluation by combining overall layout design and maintainability related design on the basis of basic realization of product performance.
In particular, most of the existing maintenance optimization models are only for single components, i.e. the physical structure, failure mode and even maintenance cost between components are considered to be independent. That is, in the present complex system, the optimal maintenance intervals of each component are determined according to the maintenance strategy of each single component, but actually, for the complex system, due to the extensive existence of the spare system, the parallel system and the unit body system, the interaction and the mutual influence among the components in the system are caused, namely, the maintenance intervals of each component are different and even different, so that the maintenance can not be executed according to the maintenance intervals,
the method has the advantages that the requirements on the accuracy and the rationality of maintenance planning are higher and higher along with the continuous improvement of the maintenance importance, a more accurate and reasonable maintenance optimization model is established, the model of a complex system can be optimized, the maintenance efficiency and the maintenance effect are improved, the cost is reduced, the method is more and more widely applied to the system maintenance planning, and the traditional method for planning L RUs by purely qualitative analysis cannot meet the requirements on the maintenance characteristics of the system aiming at the maintenance requirements of an equipment system.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides a quantitative L RU planning device and method based on time saving and cost saving, which introduces the thought of group maintenance in L RU division, and by analyzing the influence of various maintenance correlations among components on the possible L RU unit maintenance cost and maintenance time, and aiming at minimizing the total system maintenance cost and maximizing the maintenance saving time, the optimal unit combination is selected, the possible L RU units are merged into a plurality of L RU groups with certain characteristics according to certain similarity criteria, and a L RU division scheme is generated, so that the rationality of L RU planning design is effectively improved.
To achieve the technical objects of the present invention, in one aspect, the present invention provides an apparatus for dividing an outfield replaceable unit L RU, comprising:
in the product design process, the components which are determined to be in the same group are subjected to maintenance correlation analysis, and an analysis module for obtaining a plurality of correlation sets is obtained;
a calculation module for calculating the maintenance cost and the maintenance time of the correlation sets obtained in the analysis module to obtain the maintenance cost and the maintenance time generated by each correlation set;
a judgment module for comparing the maintenance cost and the maintenance time generated by each correlation set obtained in the calculation module and judging to obtain a maintenance set with less maintenance cost and shorter maintenance time;
according to the maintenance set obtained by the judging module, taking the components in the non-maintenance set and the components which are not determined to be in the same group as the processing module of the minimum replaceable unit; and
the repair set obtained by the judgment module and the minimum replaceable unit obtained by the processing module form an output module of the outfield replaceable unit L RU division scheme.
Wherein the components determined to be the same group are obtained by grouping the components according to the whole replaceability of manufacture or use through the grouping module.
To achieve the technical object of the present invention, a second aspect of the present invention provides a method of dividing an outfield replaceable unit L RU, comprising:
in the product design process, an analysis module is utilized to carry out maintenance correlation analysis on the components which are determined to be in the same group, and a plurality of correlation sets are obtained;
utilizing a calculation module to calculate the maintenance cost of the components in the correlation sets, and obtaining the maintenance cost generated by maintaining each correlation set; calculating the maintenance time of the components in the correlation sets by using a calculation module to obtain the maintenance time required by maintaining each correlation set;
comparing the maintenance cost and the required maintenance time of each correlation set by using a judgment module to obtain a maintenance set with less maintenance cost and shorter maintenance time;
the components not in the repair set and the components not determined to be the same group are treated as the minimum replaceable unit by the processing module, and the outfield replaceable unit L RU division scheme is obtained by the output module.
Wherein each relevance set comprises at least two components of the same group.
Wherein the repair correlations include fault correlations, time correlations, structural correlations, and functional correlations.
Wherein the correlation set comprises a fault correlation set, a time correlation set, a structural correlation combination and a functional correlation set.
Wherein the maintenance costs include direct maintenance costs, failure loss costs, and downtime loss costs.
Wherein the calculating of the repair cost of the components in the correlation set comprises:
maintenance costs incurred to maintain the components in the dependency set under the influence of time factors;
maintenance costs incurred to maintain the components in the dependency set under the influence of the functional factors;
maintenance costs incurred to maintain the components in the dependency set under the influence of structural factors;
the saved maintenance cost is calculated by preferentially selecting the factors which influence the maximum maintenance cost influence of the parts in the relevance set in time, function and structure relevance.
In particular, the maintenance costs incurred for maintaining the components in the dependency set under the influence of the time factor are obtained by:
setting virtual variables of the condition that each part needs to be stopped for maintenance and the condition that the part does not need to be stopped for maintenance;
and calculating the maintenance cost generated by the component according to the set virtual variable, the shutdown loss caused by unit time when the component is maintained at a certain time, the maintenance time required by different components and the distributed fixed maintenance cost.
Wherein the virtual variable is
Where W represents a virtual variable.
Wherein, the maintenance cost generated by calculating the component according to the set virtual variable, the shutdown loss caused by unit time during maintenance at a certain moment, the maintenance time required by different components and the distributed fixed maintenance cost is as follows:
where i denotes a hypothetical one of the components, j denotes a hypothetical other component, t denotes a time, CStop(T) represents the shutdown loss per unit time at time T for maintenance, Ti(T) represents the required maintenance time of the component i, Tj(t) represents the required repair time for part j,
representing the fixed maintenance costs shared by components i and j,
representing the maintenance costs incurred to repair the components in the dependency set under the influence of time factors.
In particular, the maintenance cost for maintaining the components in the correlation set under the influence of the functional factors is obtained by calculating the virtual variables and the logistics delay time set as described above, the distance from the part with the failure of the equipment at a certain time to the guarantee point, the average transportation speed, and the unit loss cost due to the delay at a certain time.
The maintenance cost generated by the unit loss cost calculation component caused by the virtual variable, the logistics delay time, the distance from the part with the failure of the equipment at a certain moment to the guarantee point, the average transportation speed and the later delay at a certain moment can be calculated by the following formula:
where i denotes a hypothetical one of the components, j denotes a hypothetical other component, t denotes a time, CStop(T) represents the shutdown loss per unit time at time T for maintenance, Ti(T) represents the required maintenance time of the component i, Tj(T) represents the required repair time, Δ T, for part j2 ij(t) is the logistical delay time,
indicating the maintenance costs incurred to repair the components in the dependency set under the influence of the functional factors.
Wherein the content of the first and second substances,
wherein S (t) is tDistance, V, from the location of the equipment at which the fault occurred to the safeguard point at any moment0Is the average transport speed. CstopAnd (t) is unit loss cost caused by delay at the moment t.
In particular, said maintenance costs resulting from the maintenance of the components of the dependency set under the influence of the structural factors are
Where i denotes a hypothetical one of the components, j denotes a hypothetical other component, t denotes a time, CStop(T) represents the shutdown loss per unit time at time T for maintenance, Ti(T) represents the required maintenance time of the component i, Tj(t) represents the required repair time for part j,
for maintenance down-time, C, saved by component i and component j due to structural dependenciespThe labor cost of a unit is increased,
representing the repair costs incurred to repair the components in the dependency set under the influence of the structural factors.
Wherein said calculating repair time for components in the set comprises:
maintenance time required to maintain the components in the set under the influence of functional factors;
maintenance time required to maintain the components in the collection under the influence of structural factors;
the saved maintenance time is calculated by selecting the factors which influence the maximum maintenance time influence of the parts in the correlation set in the functional and structural correlations preferentially.
In particular, said maintenance time required for the maintenance of the components in the set under the influence of functional factors is obtained by:
counting the maintenance steps of the maintenance events and the corresponding standard maintenance time to obtain the maintenance steps of each maintenance time and the corresponding standard maintenance time;
a traversal method is applied to calculate the structure-related repair time.
Wherein, the statistics of the maintenance steps of the maintenance events and the corresponding standard maintenance time can be represented by a two-dimensional array, for example, if two types of maintenance events 1 and 2 are assumed, when the statistics is represented by the two-dimensional array, the first column represents the maintenance step number, and the second column represents the letter miAnd njA specific value representing the corresponding maintenance time is shown in equation (5):
then when applying traversal method to calculate the structure-related repair time, use
A maintenance event 1 is indicated in the form of a maintenance event,
representing maintenance event 2, step number in first column of two arrays, e.g. found
Then
In summary, the following steps:
where i denotes one component of the hypothesis, j denotes another component of the hypothesis,
in particular, the maintenance time required to maintain the components in the assembly, under the influence of structural factors, is obtained from the distance from the point of failure of the equipment to the guarantee point at a certain moment, and the average transport speed.
Assuming that there is a functional correlation between component i and component j, the time saved is as shown in equation 7:
where i denotes one component, j denotes another component, S (t) is the distance from the location of the equipment failure to the safeguard point at time t, V0Is the average transport speed.
Wherein the components determined to be of the same group are obtained by:
to achieve the technical object of the present invention, the third aspect of the present invention also provides a use of the method of the first aspect for maintenance of an electromechanical product.
To achieve the technical object of the present invention, the fourth aspect of the present invention also provides a use of the apparatus of the second aspect for maintenance of an electromechanical product.
Has the advantages that:
1. according to the invention, the characteristics of interaction and interaction of internal components of the existing complex system are considered during L RU division, a grouping idea is innovatively introduced, and the actual situation that the existing maintenance model only aims at a single component is improved to a certain extent;
2. on the basis of considering the mutual influence relationship among the components, the maintenance characteristics among the components of the system are considered, the possible L RU units are classified into a plurality of L RU groups with certain similar characteristics according to a certain similarity criterion, and a new idea is provided for L RU division;
3. the invention quantitatively analyzes the efficiency of possible L RUs combined into a group, and quantitatively calculates through two indexes of maintenance time and maintenance cost;
4. the invention aims at minimizing the total maintenance cost of the subsystems and maximizing the time saving, generates the L RU planning scheme of the multi-component system and effectively improves the rationality of L RU planning design.
Drawings
Fig. 1 is a schematic structural diagram of an apparatus for dividing an external field replaceable unit L RU according to embodiment 1 of the present invention;
fig. 2 is a flowchart of a method of dividing an external field replaceable unit L RU according to embodiment 2 of the present invention;
FIG. 3 is a framework of L RU scheme generation method of application example 1;
FIG. 4 is the effect of the correlation of components of application example 1 on maintenance;
FIG. 5 shows a classification of maintenance costs in application example 1.
Detailed Description
The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings, and it should be understood that the preferred embodiments described below are only for the purpose of illustrating and explaining the present invention, and are not to be construed as limiting the present invention.
Example 1
As shown in fig. 1, the apparatus for dividing an external field replaceable unit L RU according to the present invention includes:
the analysis module 1 is used for performing maintenance correlation analysis on the components which are determined to be in the same group to obtain a plurality of correlation sets;
the calculation module 2 is used for calculating the maintenance cost and the maintenance time of the correlation sets obtained in the analysis module to obtain the maintenance cost and the maintenance time generated by each correlation set;
the judging module 3 is used for comparing the maintenance cost and the maintenance time generated by each correlation set obtained in the calculating module and judging to obtain a maintenance set with less maintenance cost and shorter maintenance time;
the processing module 4 is used for taking the components in the non-maintenance set and the components which are not determined to be in the same group as the minimum replaceable unit according to the maintenance set obtained by the judging module;
and an output module 5, configured to form the maintenance set obtained by the determining module and the minimum replaceable unit obtained by the processing module into a outfield replaceable unit L RU partition scheme.
Further, the components which are determined to be in the same group are obtained by grouping the components according to the whole replaceability of manufacture or use.
The parts of the above modules not described are referred to the content of example 2.
Example 2
As shown in fig. 2, the method for dividing L RU by using the L RU dividing device based on time and cost correlation provided in embodiment 1 includes the following steps:
step S101, performing maintenance correlation analysis on the components determined to be in the same group to obtain a plurality of correlation sets;
specifically, the repair correlations include fault correlations, time correlations, structural correlations, and functional correlation analyses.
Wherein the fault correlations include type I fault correlations, type II fault correlations, impulse damage correlations, and the like.
The fault dependencies between components fall into three categories: type I fault correlation, namely when one component fails, other components in the system are triggered to fail with a certain probability; type II fault correlation, namely when one component in the system fails, the fault rate of other components is influenced; impact damage is related, i.e. when one of the components fails in a two-component system, random damage is caused to the other component, and when the random damage accumulates to a certain extent, the component fails.
As can be seen from the above definition of fault correlation, it only acts on the system fault rate and has no direct impact on maintenance time and maintenance costs. Therefore, it is not considered herein.
Furthermore, the type I fault correlation, i.e. when one component fails, may cause other components in the system to fail with a certain probability; type II fault correlation, namely when one component in the system fails, the fault rate of other components is influenced; impact damage correlation, namely when one part of a two-part system fails, random damage can be caused to the other part, and when the random damage is accumulated to a certain degree, the part fails; the structural correlation means that when one part is repaired, the other part must be involved in the repair process of the other part, and the two parts are partially overlapped or intersected in the repair process.
Specifically, the correlation set includes a fault correlation set, a time correlation set, a structural correlation set, and a functional correlation set.
Step S102, calculating the maintenance cost of the components in the correlation sets to obtain the maintenance cost generated by maintaining each correlation set;
specifically, the maintenance costs include direct maintenance costs, failure loss costs, and downtime loss costs.
Further, the direct maintenance cost includes maintenance material cost, maintenance labor cost and the like; the failure loss costs include facility costs, equipment costs, management costs, and the like.
Specifically, the calculation of the maintenance cost of the components in the correlation set is calculated by the following aspects:
maintenance costs incurred to maintain the components in the dependency set under the influence of time factors;
maintenance costs incurred to maintain the components in the dependency set under the influence of the functional factors;
maintenance costs incurred to maintain the components in the dependency set under the influence of structural factors;
step S103, calculating the maintenance time of the components in the correlation sets to obtain the maintenance time required for maintaining each correlation set;
maintenance time required to maintain the components in the set under the influence of functional factors;
the structural factors affect the repair time required to repair the components in the collection.
Step S104, comparing the maintenance cost and the required maintenance time of each correlation set to obtain a maintenance set with less maintenance cost and shorter maintenance time;
in step S105, components not in the repair set and components not determined to be of the same group are taken as minimum replaceable units, and a outfield replaceable unit L RU partition plan is obtained.
In practical application, the method comprises the following specific steps:
1. the method comprises the steps of preliminarily judging whether maintenance correlation exists between units or not, and carrying out correlation analysis on the units
Then, the possible L RUs are judged one by one whether the correlation exists among the units, if the correlation exists, the units can be grouped, and the relation which exists can be preliminarily analyzed for the grouped units.
2. Calculating average maintenance cost saved after grouping units with correlation
And (4) analyzing the maintenance cost saved after the maintenance units with the correlation are grouped together with the maintenance units with the correlation obtained in the step one. The saved maintenance cost can be analyzed and calculated from the following four aspects: time-related, function-related, structure-related and the combined action of the three.
(1) Assuming that component i and component j have a time dependence, the shutdown penalty per unit time for maintenance at time t is CStop(T) required maintenance times for parts i and j are T, respectivelyi(t)，Tj(t) the allocated fixed maintenance cost is
Respectively taking two virtual variables wiAnd wjAs shown in formulas (1) and (2).
The cost savings of component i and component j due to the time dependency at time t is
(2) The maintenance cost saved due to the functional dependency is shown in equation (4).
Wherein, Delta T2 ij(t) is a logistical delay time, and
s (t) is the distance V from the failed part of the equipment to the guarantee point at the moment t0Is the average transport speed. CStop(t) represents the cost of the outage loss per unit time at time t.
(3) the maintenance cost of the component i and the component j at time t, which is saved due to the structural dependency, is expressed by the formula (5)
Wherein
For maintenance down-time, C, saved by component i and component j due to structural dependenciespUnit labor cost, Ti(T) and Tj(t) repair down time required for parts i and j, respectively.
Suppose that the maintenance cost required before the unitizable cell i and the unitizable cell j are unitized is Ci，CjThe number of times each unit capable of being grouped needs to be replaced in the whole life cycle, namely the failure rate is lambdai，λjCorresponding to a Mean Time Between Failure (MTBF) of Vi，VjThen the average maintenance cost over the life cycle can be expressed as:
η＝Ci/Vi+Cj/Vj＝Ciλi+Cjλj(27)
assuming that the cost that can be saved after grouping the groutable unit i and the groutable unit j is Δ C, the number of times the groutable unit needs to be replaced in the whole life cycle after grouping, i.e. the failure rate λ, and the corresponding Mean Time Between Failures (MTBF) in the life cycle is W, the average maintenance cost in the whole life cycle can be expressed as:
μ＝(Ci+Cj-ΔC)/W＝(Ci+Cj-ΔC)·λ (28)
the average maintenance cost saved after grouping of the cells i capable of being grouped and the cells j capable of being grouped is
ω＝λ·ΔC (10)
3. Average maintenance time saved after calculating units with correlation
Similarly, the maintenance units with correlation obtained in the step one are combined to analyze the maintenance time saved after the units are grouped, and the saved maintenance time can be calculated from three aspects: functional, structural and combined actions of the two.
(1) Structure dependent time calculation
Firstly, obtaining maintenance steps of two types of maintenance events and corresponding standard maintenance time, and representing the steps by using a two-dimensional array, wherein the first column represents the number of the maintenance steps, and the second column represents the letter miAnd njSpecific values representing the corresponding maintenance times:
then, using a traversal method, traverse
And
step numbers in the first of two arrays, e.g. found
Then
In summary, the following steps:
(2) function dependent time calculation
The time savings due to functional dependency ii are shown in equation (13):
wherein S (t) is the distance from the part with the fault to the guarantee point at the moment t, V0Is the average transport speed.
Suppose that the maintenance time required before the cells i and j that can be grouped are grouped is Ti，TjThe number of times each unit capable of being grouped needs to be replaced in the whole life cycle, namely the failure rate is lambdai，λjCorresponding to a Mean Time Between Failure (MTBF) of X over the life cyclei，XjThen the average repair time over the life cycle can be expressed as:
α＝Ti/Xi+Tj/Xj＝Ti·λi+Tj·λj(25)
assuming that D T represents the time that can be saved after grouping the groutable unit i and the groutable unit j, and the number of replacements required for the groutable unit in the entire life cycle after grouping, i.e., the failure rate λ, and the corresponding Mean Time Between Failures (MTBF) in the life cycle is Y, the mean time between repairs in the entire life cycle can be expressed as:
β＝(Ti+Tj-ΔT)/Y＝(Ti+Tj-ΔT)λ (26)
namely: the average maintenance time saved by the system after grouping is gamma-lambda-delta T
4. Determining which correlations to consider and determining a grouping scheme
And step two and step three are comprehensively considered, corresponding time and cost-based balance consideration is carried out on the units which can be grouped, time and cost are saved by comprehensive consideration, and the most suitable system correlation is judged. It is determined what correlations to consider and combine the components into a group. And the optimal grouping scheme is selected by weighing each grouping scheme. The time and cost based tradeoff is shown below.
For different systems, the attention degrees of the maintenance cost and the maintenance time are different, so that the cost and the time can be weighted according to the attention degrees of the maintenance time and the maintenance cost in the actual maintenance activities. The maintenance time is weighted as a, and the maintenance cost is weighted as b.
(1) Determining the impact of a correlation on a correlation set
The average maintenance time and maintenance cost of all the parts in the p-th related set when not grouped is recorded as αpAnd ηpThe maintenance time and maintenance cost saved due to the kth maintenance correlation are recorded as γpkAnd ωpk(k-1, 2,3), wherein k-1 is a temporal correlation, k-2 is a functional correlation, and k-3 is a structural correlation.
The impact of the kth repair correlation on the pth correlation set is
Selecting Effectp1，Effectp2，Effectp3And the correlation corresponding to the medium maximum value is used as a correlation factor which has the largest influence on the correlation set.
(2) Selecting an optimal grouping scheme
Let l correlation sets exist, wherein the p-th correlation set saves maintenance time and maintenance cost due to the correlation factor which influences the p-th correlation set most as gammapAnd ωp(p ═ 1, …, l). The average maintenance time and average maintenance cost over the life cycle of all components in the system when not grouped is recorded as TzAnd Cz
The impact of repair time and cost on the pth correlation set is recorded
For Effectp(p ═ 1, …, l) were sorted from large to small and summarized into a grouping scheme. The scheme should cover all cells that can be grouped and there is no cell duplication. Let there be h grouping schemes, where the qth grouping scheme has N0A set of correlations. The impact on the qth grouping scheme due to maintenance time and maintenance costs is
Wherein EffectwRepresenting the impact of the w-th correlation set in the q-th grouping scheme.
Compare EffectqAnd (q is 1, …, h), and selecting the grouping scheme corresponding to the maximum value as the optimal grouping scheme.
5. Summarizing the units which cannot be grouped and the grouped units to form L RU division scheme
Summarizing the cells that cannot be grouped in step one and the optimal grouping scheme in step four, an L RU partitioning scheme is formed.
Application example 1
Taking a certain electromechanical product as an example, the system only has 5 parts, and the part numbers are 1,2,3,4 and 5; the maintenance resources are sufficient; according to the system data, structural correlation exists between the component 1 and the component 2, functional correlation and time correlation exist between the component 3 and the component 4, and time correlation exists between the component 1 and the component 4.
Wherein the component 1 requires a maintenance time T1(t) 10 minutes, the required maintenance cost is 2000 yuan; the component 2 requires a maintenance time T2(t) 20 minutes, the required maintenance cost is 1500 yuan; the required maintenance time for the component 3 is T3(t) 10 minutes, the required maintenance cost is 1000 yuan; the component 4 requires a maintenance time T4(t) 15 minutes, the required maintenance cost is 2000 yuan; shutdown losses C per unit time at time tStop(t) 1 Yuan, labor cost per unit time Cp(t) 0.01 Yuan。
According to the system data, the fixed maintenance cost of the component 1 and the component 2 is divided into
The fixed maintenance costs of the components 3 and 4 are shared by the functional dependencies
The fixed maintenance costs of the components 3 and 4 are shared by the time dependence
The fixed maintenance costs of the components 1 and 4 are shared by the time dependence
The maintenance down time saved for all parts due to maintenance dependencies is considered the same as 5 minutes. The failure rate of all components is regarded as the same as lambdaiFailure rate λ after component 1 and component 2 are grouped, 1% ( i 1,2,3,4)12Failure rate λ after component 3 and component 4 ganged 1.5%34Failure rate λ after component 1 and component 4 are grouped 2%141.5 percent; the required maintenance cost before all the components are grouped is regarded as CiThe maintenance time weight a is 0.5 and the maintenance cost weight b is 0.5, 2000 yuan (i is 1,2,3, 4).
The electromechanical product is divided into the outfield replaceable unit L RU according to the above, and the division is performed by referring to the L RU scheme generation method framework of fig. 3, the influence of the component correlation on the maintenance shown in fig. 4, and the maintenance cost classification shown in fig. 5, and the specific steps are as follows:
1. determining energy grouping unit
Since the parts 1,2,3,4 and the other parts have maintenance relevance, and the part 5 and the other parts have no maintenance relevance, it is determined that the parts 1,2,3,4 are groupable units and the part 5 is not groupable unit
2. Calculating average maintenance cost saved after grouping units with correlation
a) The first set of correlations is component 1 and component 2, which have an average maintenance cost savings due to structural correlations of
b) The second set of correlations is component 3 and component 4, which are savings in average maintenance costs due to functional correlations
The average maintenance cost saved due to the time dependency is
ω21＝λ34·ΔC 1 342% (80+ 1.10.60) ═ 13.6 yuan
c) The third correlation set is component 1 and component 4, which have an average maintenance cost ω saved due to time correlation31＝λ14·ΔC1 141.5% · (80+1 · 10 · 60) ═ 10.2 yuan;
3. average maintenance time saved after calculating units with correlation
a) The first set of correlations is component 1 and component 2, which have an average repair time saved due to structural correlations of
γ13＝λ12·ΔT12＝1.5％·min(T1(t),T2(t))＝1.5％·10·60＝9s；
b) The second set of correlations is component 3 and component 4, which have an average maintenance time saving of γ due to functional dependencies22＝λ34·ΔT34＝2％·min(T3(t),T4(t))＝2％·10·60＝12s；
4. Determining which relevance merging component to consider and determining a grouping scheme
a) It is assumed that there are two kinds of correlations in the second correlation set, and the influence of the functional correlation and the time correlation on the correlation sets needs to be measured to determine what kind of correlation is considered in the group:
the effect of the functional dependency on the second set of dependencies is:
the impact of the temporal correlation on the second correlation set is:
apparently Effect22＞Effect21
The functional dependency is taken into account in the grouping of components 3 and 4.
b) The effect of repair time and repair cost on the first correlation set:
the effect of repair time and repair costs on the second correlation set:
the effect of repair time and repair costs on the third correlation set:
the grouping scheme of the components 1,2,3,4 that can be grouped is:
case one { (1,2), (3,4) }, its Effect1＝0.22+0.33＝0.55；
Scheme two { (1,2),3,4}, its Effect2＝0.22；
Scheme three {1,2, (3,4) }, its Effect3＝0.33；
Scheme four { (1,4),2,3}, its Effect4＝0.08；
Scheme five {1,2,3,4}, its Effect5＝0。
5. L RU partitioning scheme determination
Summarizing the units which cannot be grouped in the step 1 and the optimal grouping scheme in the step 4, and finally determining L RU division schemes as { (1,2), (3,4),5 }.
Although the present invention has been described in detail hereinabove, the present invention is not limited thereto, and various modifications can be made by those skilled in the art in light of the principle of the present invention. Thus, modifications made in accordance with the principles of the present invention should be understood to fall within the scope of the present invention.
Claims (10)
1. An apparatus for partitioning an outfield replaceable unit L RU, comprising:
in the product design process, the components which are determined to be in the same group are subjected to maintenance correlation analysis, and an analysis module for obtaining a plurality of correlation sets is obtained;
a calculation module for calculating the maintenance cost and the maintenance time of the correlation sets obtained in the analysis module to obtain the maintenance cost and the maintenance time generated by each correlation set;
a judgment module for comparing the maintenance cost and the maintenance time generated by each correlation set obtained in the calculation module and judging to obtain a maintenance set with less maintenance cost and shorter maintenance time;
according to the maintenance set obtained by the judging module, taking the components in the non-maintenance set and the components which are not determined to be in the same group as the processing module of the minimum replaceable unit; and
the repair set obtained by the judgment module and the minimum replaceable unit obtained by the processing module form an output module of the outfield replaceable unit L RU division scheme.
2. The apparatus of claim 1, wherein the components identified as the same group are grouped by overall replaceability of the components for manufacture or use.
3. A method of using the apparatus of claim 1 for partitioning an outfield replaceable unit L RU, comprising:
in the product design process, an analysis module is utilized to carry out maintenance correlation analysis on the components which are determined to be in the same group, and a plurality of correlation sets are obtained;
utilizing a calculation module to calculate the maintenance cost of the components in the correlation sets, and obtaining the maintenance cost generated by maintaining each correlation set; calculating the maintenance time of the components in the correlation sets by using a calculation module to obtain the maintenance time required by maintaining each correlation set;
comparing the maintenance cost and the required maintenance time of each correlation set by using a judgment module to obtain a maintenance set with less maintenance cost and shorter maintenance time;
using the processing module to take the components not in the maintenance set and the components not determined to be the same group as the minimum replaceable unit, and obtaining a outfield replaceable unit L RU division scheme through the output module;
wherein each relevance set comprises at least two components of the same group.
4. The method of claim 3, wherein the repair correlations comprise fault correlations, time correlations, structural correlations, and functional correlations analyses, and the set of correlations comprises a fault correlation set, a time correlation set, a structural correlation combination, and a functional correlation set.
5. The method of claim 3, wherein the repair costs include direct repair costs, lost to failure costs, and lost to shutdown costs.
6. The method of claim 3, wherein performing a repair fee calculation for a component in a dependency set comprises:
maintenance costs incurred to maintain the components in the dependency set under the influence of time factors;
maintenance costs incurred to maintain the components in the dependency set under the influence of the functional factors;
maintenance costs incurred to maintain the components in the dependency set under the influence of structural factors; and
the saved maintenance cost is calculated by preferentially selecting the factors which influence the maximum maintenance cost influence of the parts in the relevance set in time, function and structure relevance.
7. The method of claim 3, wherein performing a repair time calculation for a component in the set comprises:
maintenance time required to maintain the components in the set under the influence of functional factors;
the structural factors affect the repair time required to repair the components in the collection.
8. A method according to claim 3, wherein the components identified as a group are grouped according to their overall replaceability in manufacture or use.
9. Use of a device according to any of claims 1-2 for maintenance of electromechanical products.
10. Use of a method according to any of claims 3-8 for maintenance of an electromechanical product.
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