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A Calculation Method of Gamma Unit Spare Parts Requirement under the Risk of Storage Failure

A gamma-type, demand-based technology, applied in the direction of calculation, data processing applications, instruments, etc., can solve the problems of unsatisfactory spare parts storage environment, failure of guarantee tasks, and failure of spare parts, etc., to achieve fast and convenient calculation, small error, and satisfactory The effect of engineering application requirements

Active Publication Date: 2021-11-02
NAVAL UNIV OF ENG PLA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, for those spare parts that are not usually stored in professional warehouses, such as random spare parts that are equipped with equipment, sometimes due to various conditions such as limited working environment and space, it is impossible to provide a storage environment for spare parts that meets the storage standards; especially for those long-term The equipment working in the field, such as the relevant equipment on the ship is at sea all the year round, and is often in a relatively harsh working environment such as high humidity, high salinity, mechanical and electrical equipment work or vibration caused by the shaking of the hull. If the working environment at this time If it is the storage environment of random spare parts, there is a risk of failure of spare parts during storage
At this time, if the risk of storage failure is ignored, and the conventional method is still used to calculate the demand for spare parts, the number of spare parts will be insufficient due to the failure of some spare parts during the storage period, which will lead to the failure of the support task

Method used

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  • A Calculation Method of Gamma Unit Spare Parts Requirement under the Risk of Storage Failure
  • A Calculation Method of Gamma Unit Spare Parts Requirement under the Risk of Storage Failure
  • A Calculation Method of Gamma Unit Spare Parts Requirement under the Risk of Storage Failure

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0024] Assuming that the storage life of a gamma-type unit obeys the gamma distribution Ga(2.6,1500), the working life obeys the gamma distribution Ga(1.6,700), and the guaranteed task time T w =5000h, guarantee probability index P 0 is 0.85, try to calculate the demand for spare parts as follows:

[0025] S1, initialization step

[0026] S1.1, let the spare parts guarantee probability be

[0027] Because P ok 0 , so set the number of spare parts S = 1, go to step 1.2.

[0028] S1.2, let i=1, S now = S;

[0029] S2, calculate the guarantee probability P ok

[0030] S2.1, Calculate the failure probability gP 1 ,

[0031] make

[0032] S2.2, calculate the fault time gT 1 ,make

[0033] S2.3, calculate storage effect Pzs

[0034] Since at this time S 1 = 1, so

[0035] 2.4, let P ok =P ok +gP 1 ×Pzs=0.0313, let S now =(S now -1)×(1-P z0 )=0;

[0036] 2.5, let i=i+1=2, because i>S, so turn to step 3;

[0037] S3, judgment step

[0038] Because at th...

Embodiment 2

[0041] Assuming that the storage life of a gamma-type unit obeys the gamma distribution Ga(2.6,1500), the working life obeys the gamma distribution Ga(1.6,700), and the guaranteed task time T w =5000h, guarantee probability index P 0 is 0.85, when the number of spare parts is k, the simulation process steps for the implementation of a guarantee task are as follows:

[0042] 1) The working time simTw=0 of the initialization unit;

[0043] 2) Generate a random number t 0 , used to simulate the working life of the unit in the equipment, t 0 Obey the gamma distribution Ga(α 2 ,b 2 ); let simTw=t 0 ;

[0044] 3) Generate k random numbers t1 m (1≤m≤k), used to simulate the storage life of spare parts, t1 m Obey the gamma distribution Ga(α 1 ,b 1 );

[0045] 4) Generate k random numbers t2 m (1≤m≤k), used to simulate the working life of spare parts, t2 m Obey the gamma distribution Ga(α 2 ,b 2 );

[0046] 5) Compare the size of simTw and Tw.

[0047] If simTw>Tw, the...

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Abstract

The present invention proposes a method for calculating the demand for gamma-type unit spare parts under the risk of storage failure, including three steps: initialization step, calculation guarantee probability and judgment step, with accurate calculation, small error, fast and convenient calculation, which is different from the traditional one-time method The simulation results of the implementation of the support tasks are relatively close, meeting the requirements of engineering applications.

Description

technical field [0001] The invention relates to the field of calculation of demand for spare parts, in particular to a calculation method for demand of gamma-type unit spare parts under the risk of storage failure. Background technique [0002] Accurately calculating the demand for spare parts can quantitatively describe the degree of support of equipment from the perspective of economic costs such as spare parts procurement costs. [0003] "Spare parts are always "good" until they are put into use, and will not expire in storage" is a common assumption in all current spare part demand calculation methods. This assumption is reasonable if the spare parts are stored in professional warehouses with a good environment, and it is also very consistent with the actual performance of spare parts in reality. However, for those spare parts that are not usually stored in professional warehouses, such as random spare parts that are equipped with equipment, sometimes due to various con...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06G06Q10/00
CPCG06Q10/0635G06Q10/06393G06Q10/20
Inventor 张光宇郭璇任海东吴笛霄李华
Owner NAVAL UNIV OF ENG PLA