CN109598464A - A kind of calculation method of exponential unit spare part loss quantity - Google Patents

A kind of calculation method of exponential unit spare part loss quantity Download PDF

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Publication number
CN109598464A
CN109598464A CN201811245076.5A CN201811245076A CN109598464A CN 109598464 A CN109598464 A CN 109598464A CN 201811245076 A CN201811245076 A CN 201811245076A CN 109598464 A CN109598464 A CN 109598464A
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spare part
now
exponential
spare
tzc
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CN109598464B (en
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阮旻智
李华
王俊龙
张光宇
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Naval University of Engineering PLA
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Naval University of Engineering PLA
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/087Inventory or stock management, e.g. order filling, procurement or balancing against orders
    • G06Q10/0875Itemisation or classification of parts, supplies or services, e.g. bill of materials

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Abstract

The invention proposes a kind of calculation methods of exponential unit spare part loss quantity, including initialization step, cycle calculations step and output result step, calculating is accurate, error is small, it calculates quick and convenient, there are the spare parts support process simulation analog results of store failure risk to be closer to conventionally employed, meets engineer application requirement.

Description

A kind of calculation method of exponential unit spare part loss quantity
Technical field
The present invention relates to the calculating of spare parts demand amount calculating field more particularly to a kind of exponential unit spare part loss quantity Method.
Background technique
In actual operation, the spare part in warehouse is possible to store failure.Storage spare part before use herein Failure is referred to as to be lost.Quantity is lost in the accurate spare part that calculates, can be from the angle of economic cost, and the protection of quantitative description equipment is excellent Bad degree.
The spare part of loss is a kind of waste, is cost truly.During calculating spare parts demand amount, generally Need to go the guarantee effect of evaluation spare part from income and cost the two angles.Generally using spare parts support probability, using available The indexs such as degree quantify income, using indexs such as spare parts purchasing expense, spare part utilization rates quantify cost.Spare part utilization rate refers to During support mission, the ratio of the spare part quantity and spare part initial number that use." spare part is " non-defective unit " always, will not be stored Failure " is a common hypothesis of current all spare parts demand amount calculation methods.At this point, after due to certain support mission Remaining spare part still can be used for later support mission, not will cause actual waste.Therefore, either spare parts purchasing Expense or spare part utilization rate are practically without accurately reflection cost, and what is more reflected is all carryovers of spare parts support fund Degree, such as huge spare parts purchasing expense corresponding with excessively ensureing (lower spare part utilization rate), direct result is in fact A large amount of spare parts support financing depositions accumulate in spare parts warehouse, without flowing.Do not consider that evaluation spare part is removed in spare part loss Guarantee effect, neither tally with the actual situation, the cost of spare parts support can not be accurately reflected.
In general, the service life of the units such as electronic component obeys exponential distribution, such as: edge receptacle, the ministry of electronics industry Part, resistance, capacitor, integrated circuit etc..Exponential unit refers to that the service life obeys the unit of exponential distribution, and service life X obeys exponential distribution It is denoted as X~Exp (λ), the density function of X is f (x)=λ e-λx.The unit that the service life obeys exponential distribution is referred to as herein Exponential unit.
Summary of the invention
In view of this, the invention proposes a kind of meters for calculating exponential unit spare part loss quantity accurate, that error is small Calculation method.
Assume herein: the storage life of exponential unit obeys exponential distribution Exp (λ1), working life obeys index It is distributed Exp (λ2);Exponential unit is continuous operation mode during operation, when the unit break down when, need spare part into Row alternate maintenance, at this time checks spare parts warehouse, the spare part found out available spare part, reject store failure;Appoint when ensureing At the end of business, spare parts warehouse can be checked, reject the spare part of store failure;Support mission start time is also spare part simultaneously At the time of starting storage, and both storage life and working life are mutually indepedent.
The technical scheme of the present invention is realized as follows: the present invention provides a kind of exponential unit spare part loss quantity Calculation method includes the following steps,
S1 enables current spare part quantity Snow=Sn, Nf=0, i=1, wherein the spare part quantity of configuration is Sn, spare part loss number Amount is Nf, i is the number to check a stock;
S2.1 calculates cT at the time of i-th checks a stocki,TwTo protect Hinder task time, λ2For spare part working life exponential distribution crash rate parameter;
S2.2, if i > 1, enables Tzc=cTi-cTi-1;Otherwise Tzc=cT is enabled1, Tzc is interim period of storage;
S2.3 calculates store failure probability Pz0,
λ1For spare part storage life exponential distribution crash rate parameter;
S2.4 updates Nf、Snow, enable Nf=Nf+Snow×Pz0, enable SnowFor (Snow-1)×(1-Pz0) and 0 between it is larger Value;
S2.5 enables i=i+1, if i≤Sn, then S2.1 is gone to step, S3 is otherwise gone to step;
S3 exports NfQuantity is lost for final spare part.
The calculation method of exponential unit spare part loss quantity of the invention has below compared with the existing technology beneficial to effect Fruit:
(1) calculating is accurate, error is small, and calculating is quick and convenient, and there are the spare part of store failure risk guarantors with conventionally employed Barrier process simulation analog result is closer to, and meets engineer application requirement.
Specific embodiment
Below in conjunction with embodiment of the present invention, the technical solution in embodiment of the present invention is carried out clearly and completely Description, it is clear that described embodiment is only some embodiments of the invention, rather than whole embodiments.Base Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts all Other embodiments shall fall within the protection scope of the present invention.
Embodiment 1
The storage life of certain exponential unit obeys exponential distribution Exp (0.0002), and working life obeys exponential distribution Exp (0.001), support mission time TwWhen=5000h, spare part quantity SnIt is 8, examination calculates spare part and quantity N is lostfSteps are as follows:
S1, initialization step
Enable current spare part quantity Snow=8, Nf=0, i=1;
S2, cycle calculations step
S2.1 calculates cT at the time of i-th checks a stocki
S2.2, calculation stages period of storage Tzc
Because i=1 enables Tzc=cT1=1835.8;
S2.3 calculates store failure probability Pz0
It enables
2.4, update Nf、Snow
Enable Nf=Nf+Snow×Pz0=2.46, enable Snow=max ([(Snow-1)×(1-Pz0) 0])=4.85;
2.5, i=i+1=2 is enabled, due to i≤Sn, therefore S2.1 is gone to step, repeat above step;
As i=i+1=9, due to i > Sn, therefore go to step S3;
S3 exports result step
Export final result Nf=4.31.
Embodiment 2
The storage life of certain exponential unit obeys exponential distribution Exp (0.0002), and working life obeys exponential distribution Exp (0.001), support mission time TwWhen=5000h, spare part quantity k is 8, and it is imitative that there are the spare parts support processes of store failure risk True process step is as follows:
1) the working time simTw=0 of initialization unit;
2) 1 random number t is generated0, for the working life of the unit in simulating assembly, t0Obey exponential distribution Exp (λ2);Enable simTw=t0
3) k random number t1 is generatedm(1≤m≤k), for simulating the storage life of spare part, t1mObey exponential distribution Exp (λ1);
4) k random number t2 is generatedm(1≤m≤k), for simulating the working life of spare part, t2mObey exponential distribution Exp (λ2);
5) compare the size cases of simTw and Tw
If simTw > Tw, this simulation terminates, and turns 6);
If simTw < Tw, a spare parts demand is generated, is checked a stock, if storage life cannot be found greater than simTw Spare part, then this simulation terminates, turn 6);If can find spare part of the storage life greater than simTw (remembers its working life For t2'), then simTw=simTw+t2' is enabled, then the spare part is rejected from part warehouse, turned 5);
6) it checks a stock, searches the spare part that all storage lives are less than Tw, these spare parts are store failure spare part, quantity For quantity is lost.
According to the above process, support mission can be repeatedly simulated, obtained all spare parts loss quantity simulation result is carried out Statistics, mean value are that quantity is lost in the spare part simulated.
Following table 1 lists in the calculating process in embodiment 1, SnWhen=1~10, quantity meter is lost in corresponding spare part Calculate result and 2 analog result of embodiment.
The comparative situation of 1 calculated result of analog result and embodiment of quantity is lost in 1 spare part of table
Table 1 the result shows that, although step S2.4 will lead to calculating error, result of the present invention still with analog result more It is close, meet engineer application requirement.
The foregoing is merely better embodiments of the invention, are not intended to limit the invention, all of the invention Within spirit and principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.

Claims (1)

1. a kind of calculation method of exponential unit spare part loss quantity, it is characterised in that: include the following steps,
S1 enables current spare part quantity Snow=Sn, Nf=0, i=1, wherein the spare part quantity of configuration is Sn, spare part loss quantity be Nf, i is the number to check a stock;
S2.1 calculates cT at the time of i-th checks a stocki,TwAppoint to ensure It is engaged in the time, λ2For spare part working life exponential distribution crash rate parameter;
S2.2, if i > 1, enables Tzc=cTi-cTi-1;Otherwise Tzc=cT is enabled1, Tzc is interim period of storage;
S2.3 calculates store failure probability Pz0,
λ1For spare part storage life exponential distribution crash rate parameter;
S2.4 updates Nf、Snow, enable Nf=Nf+Snow×Pz0, enable SnowFor (Snow-1)×(1-Pz0) and 0 between the larger value;
S2.5 enables i=i+1, if i≤Sn, then S2.1 is gone to step, S3 is otherwise gone to step;
S3 exports NfQuantity is lost for final spare part.
CN201811245076.5A 2018-10-24 2018-10-24 Calculation method for loss quantity of exponential type unit spare parts Active CN109598464B (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110717669A (en) * 2019-09-30 2020-01-21 中国人民解放军海军工程大学 Method and device for calculating demand of index type universal spare parts

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010134750A (en) * 2008-12-05 2010-06-17 Hitachi Ltd Inventory management system
US8170893B1 (en) * 2006-10-12 2012-05-01 Sergio J Rossi Eliminating sources of maintenance losses
CN103729693A (en) * 2013-12-23 2014-04-16 清华大学 Maintenance and spare part supply combined optimization method based on deterministic inventory degradation model
CN105160513A (en) * 2015-09-07 2015-12-16 拓维信息系统股份有限公司 Equipment spare part safety stock calculating method and system
CN106920061A (en) * 2017-03-22 2017-07-04 北京奔驰汽车有限公司 spare parts management system and device
CN108536960A (en) * 2018-04-09 2018-09-14 中国人民解放军海军工程大学 A kind of exponential unit spare parts demand amount computational methods under store failure risk

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8170893B1 (en) * 2006-10-12 2012-05-01 Sergio J Rossi Eliminating sources of maintenance losses
JP2010134750A (en) * 2008-12-05 2010-06-17 Hitachi Ltd Inventory management system
CN103729693A (en) * 2013-12-23 2014-04-16 清华大学 Maintenance and spare part supply combined optimization method based on deterministic inventory degradation model
CN105160513A (en) * 2015-09-07 2015-12-16 拓维信息系统股份有限公司 Equipment spare part safety stock calculating method and system
CN106920061A (en) * 2017-03-22 2017-07-04 北京奔驰汽车有限公司 spare parts management system and device
CN108536960A (en) * 2018-04-09 2018-09-14 中国人民解放军海军工程大学 A kind of exponential unit spare parts demand amount computational methods under store failure risk

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
邵松世,张志华,李华,刘任洋: "正态型有寿件的备件方案确定方法", 《航空学报》 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110717669A (en) * 2019-09-30 2020-01-21 中国人民解放军海军工程大学 Method and device for calculating demand of index type universal spare parts
CN110717669B (en) * 2019-09-30 2023-02-17 中国人民解放军海军工程大学 Method and device for calculating demand of index type universal spare parts

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