CN110727921B - Method and device for calculating demand quantity of normal general spare parts - Google Patents
Method and device for calculating demand quantity of normal general spare parts Download PDFInfo
- Publication number
- CN110727921B CN110727921B CN201910944859.0A CN201910944859A CN110727921B CN 110727921 B CN110727921 B CN 110727921B CN 201910944859 A CN201910944859 A CN 201910944859A CN 110727921 B CN110727921 B CN 110727921B
- Authority
- CN
- China
- Prior art keywords
- spare part
- demand
- parts
- calculating
- general
- 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.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 22
- 238000004364 calculation method Methods 0.000 claims abstract description 20
- 230000009191 jumping Effects 0.000 claims description 5
- 230000006870 function Effects 0.000 claims description 3
- 239000002699 waste material Substances 0.000 abstract description 3
- 238000004088 simulation Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000003638 chemical reducing agent Substances 0.000 description 1
- 238000007796 conventional method Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- General Physics & Mathematics (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Mathematical Physics (AREA)
- Computational Mathematics (AREA)
- Mathematical Analysis (AREA)
- Life Sciences & Earth Sciences (AREA)
- Operations Research (AREA)
- Probability & Statistics with Applications (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Algebra (AREA)
- Evolutionary Biology (AREA)
- Databases & Information Systems (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- Bioinformatics & Computational Biology (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention relates to a method and a device for calculating the demand of normal general spare parts. According to the invention, the spare part demand is comprehensively considered from the overall demand of all equipment, and the interchangeability characteristic of the universal parts is fully considered, so that the final spare part demand obtained through calculation can be fitted with the actual demand to a great extent, and the excessive purchasing of the universal parts is avoided, so that the waste is formed.
Description
Technical Field
The invention relates to the technical field of equipment maintenance, in particular to a method and a device for calculating the demand quantity of a normal general spare part.
Background
The normal distribution is often used to describe the life distribution of mechanical type units, such as bus rings, gearboxes, reducers, etc. And the universal parts are units with interchangeability among different types or types of products of different specifications. The normal general part refers to a general part with unit life obeying normal distribution, and the life X obeys normal distribution and is marked as X-N (mu, sigma) 2 ) Wherein mu is a mean parameter, sigma is a root variance parameter, and the density function of X is
The universal parts have higher universality, so that the universal parts can be used in a wider range of products. The calculation of spare part demand is generally aimed at meeting the spare part demand of a piece of equipment. For general-purpose parts, the method adopted in the past is as follows: firstly, the spare part demand of each equipment is calculated, and then the sum of all spare part quantities is used as the final spare part demand. The method does not actually consider the interchangeability characteristic of the universal parts, but does not comprehensively consider the spare part demand from the overall demand of all equipment, and excessive purchasing of the universal parts and spare parts can be caused to form waste.
Disclosure of Invention
Aiming at the technical problems in the prior art, the invention provides a method and a device for calculating the demand of a normal general spare part, which fully consider the interchangeability characteristic of the general spare part and comprehensively consider the demand of the spare part from the total demand of all equipment.
The technical scheme for solving the technical problems is as follows:
in a first aspect, the present invention provides a method for calculating demand of a normal general-purpose spare part, including the steps of:
s1, initializing the number S of spare parts, wherein S=0;
S2，i＝1；
s3, calculating an array p1, wherein the array comprises S+1 elements,
order the
Wherein T is i Representing the annual planned working time of the universal piece in the ith equipment, wherein i is more than or equal to 1 and less than or equal to N, and N is the total number of the equipment using the universal piece;
s4, if i is equal to 1, let p2=p1; otherwise, let p2=p1×p2, where×is the convolution symbol;
s5, let i=i+1, if i is less than or equal to N, jump to step S3, otherwise letThen jumping to step S6;
s6, judging P S Whether the spare part guarantee requirement is met, namely judging P S Whether or not it is smaller than the minimum spare part satisfaction rate P1, if P S Let s=s+1 and jump to step S2, otherwise terminate the calculation and output the current value of S as the final spare part demand.
The beneficial effects of the invention are as follows: the spare part demand is comprehensively considered from the overall demand of all equipment, and the interchangeability characteristic of the general parts is fully considered, so that the calculated final spare part demand can be fitted with the actual demand to a great extent, and excessive purchasing of the general spare parts is avoided, and waste is formed.
In a second aspect, the present invention provides a normal-type general-purpose spare part demand amount calculating device, including:
an input module for setting the number of equipment N, the minimum spare part satisfaction rate P1 and the annual planned working time T of the general parts in each equipment i ，1≤i≤N；
The calculation module is used for calculating the demand of the spare parts of the general-purpose parts; the specific calculation method is as follows:
s1, initializing the number S of spare parts, wherein S=0;
S2，i＝1；
s3, calculating an array p1, wherein the array comprises S+1 elements,
order the
Wherein T is i Representing the annual planned working time of the general part in the ith equipment, wherein i is more than or equal to 1 and less than or equal to N;
s4, if i is equal to 1, let p2=p1; otherwise, let p2=p1×p2, where×is the convolution symbol;
s5, let i=i+1, if i is less than or equal to N, jump to step S3, otherwise letThen jump to step S6；
S6, judging P S Whether the spare part guarantee requirement is met, namely judging P S Whether or not it is smaller than the minimum spare part satisfaction rate P1, if P S Let s=s+1 and jump to step S2, otherwise terminate the calculation and take the current value of S as the final spare part demand;
and the output display module is used for outputting and displaying the final spare part demand calculated by the calculation module.
In a third aspect, the present invention provides a normal-type general-purpose spare part demand amount calculating device, including:
a memory for storing a computer software program;
and the processor is used for reading and executing the computer software program stored in the memory to realize the method for calculating the demand of the normal general spare part according to the first aspect of the invention.
In a fourth aspect, the present invention provides a non-transitory computer readable storage medium, wherein the storage medium stores a computer software program for implementing a method for calculating a normal-type spare part demand according to the first aspect of the present invention.
Drawings
FIG. 1 is a flowchart of a method for calculating the demand of a normal general purpose spare part according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an example simulation result provided in a first embodiment of the present invention;
fig. 3 is a block diagram of a device for calculating demand of a normal general spare part according to a second embodiment of the present invention.
Detailed Description
The principles and features of the present invention are described below with reference to the drawings, the examples are illustrated for the purpose of illustrating the invention and are not to be construed as limiting the scope of the invention.
The convention is made herein: a generic part is used in N pieces of equipment (number of columns 1), which may be of different types or different specifications, respectively, and the working time T planned each year in each piece of equipment is known i I is more than or equal to 1 and less than or equal to N, when the general part failsAnd when the repair is performed, the fault is removed by adopting a replacement repair mode (the replacement repair time is ignored). The spare parts warehouse needs to purchase the spare parts of the general part for one year, the number of the spare parts is recorded as S, and the spare parts meeting rate is required to be not lower than P1.
Example 1
As shown in fig. 1, the embodiment of the invention provides a method for calculating the demand of a normal general spare part, which comprises the following steps:
s1, initializing the number S of spare parts, wherein S=0;
S2，i＝1；
s3, calculating an array p1, wherein the array comprises S+1 elements,
order the
Wherein T is i Representing the annual planned working time of the universal piece in the ith equipment, wherein i is more than or equal to 1 and less than or equal to N, and N is the total number of the equipment using the universal piece;
s4, if i is equal to 1, let p2=p1; otherwise, let p2=p1×p2, where×is the convolution symbol;
s5, let i=i+1, if i is less than or equal to N, jump to step S3, otherwise letThen jumping to step S6;
s6, judging P S Whether the spare part guarantee requirement is met, namely judging P S Whether or not it is smaller than the minimum spare part satisfaction rate P1, if P S Let s=s+1 and jump to step S2, otherwise terminate the calculation and output the current value of S as the final spare part demand.
Calculation example
4 different types of equipment are provided with a common part, and the service life of the common part is subjected to normal distribution N (160,70) 2 ) The working time of the universal piece in 4 pieces of equipment is predicted to be 400, 600, 800 and 1000 hours each year. The warehouse storage capacity of the general spare parts for one year is calculated by adopting the method, so that the spare part satisfaction rate is not lower than 0.8.
Solution: 1) Initializing the number of spare parts, letting s=0.
2) Calculating the spare part satisfaction rate P S 。
Table 1 lists the corresponding spare part satisfaction rates when the number of spare parts takes various values.
TABLE 1
3) When s=17, the spare part satisfaction rate P S And the spare part meeting rate is 0.8, and the spare part guarantee requirement that the spare part meeting rate is not lower than 0.8 is met.
4) The calculation was terminated and the warehouse storage capacity of the spare part for one year for the universal part was 17.
In this example, if the conventional method is adopted (the own spare part demand of each equipment is calculated, and then the sum of all spare part numbers is taken as the final spare part demand), the spare part demand of each of 4 pieces of equipment is 3, 4, 5 and 7, and 19 spare parts are required in total.
FIG. 2 shows the spare parts satisfaction rate of the method and the simulation method according to the present invention when the number of spare parts in the above calculation example is from 0 to 20. A large number of simulation results show that: the error of the two is within the engineering application range.
Example two
As shown in fig. 3, the present invention provides a normal general-purpose spare part demand amount calculating device, comprising:
an input module for setting the number of equipment N, the minimum spare part satisfaction rate P1 and the annual planned working time T of the general parts in each equipment i ，1≤i≤N；
The calculation module is used for calculating the demand of the spare parts of the general-purpose parts; the specific calculation method is as follows:
s1, initializing the number S of spare parts, wherein S=0;
S2，i＝1；
s3, calculating an array p1, wherein the array comprises S+1 elements,
order the
Wherein T is i Representing the annual planned working time of the general part in the ith equipment, wherein i is more than or equal to 1 and less than or equal to N;
s4, if i is equal to 1, let p2=p1; otherwise, let p2=p1×p2, where×is the convolution symbol;
s5, let i=i+1, if i is less than or equal to N, jump to step S3, otherwise letThen jumping to step S6;
s6, judging P S Whether the spare part guarantee requirement is met, namely judging P S Whether or not it is smaller than the minimum spare part satisfaction rate P1, if P S Let s=s+1 and jump to step S2, otherwise terminate the calculation and take the current value of S as the final spare part demand;
and the output display module is used for outputting and displaying the final spare part demand calculated by the calculation module.
Example III
The embodiment of the invention provides a device for calculating the demand of a normal general spare part, which comprises the following components:
a memory for storing a computer software program;
and the processor is used for reading and executing the computer software program stored in the memory to realize the method for calculating the demand of the normal general spare part according to the first embodiment of the invention.
Example IV
The embodiment of the invention provides a non-transitory computer readable storage medium, wherein the storage medium stores a computer software program for realizing the method for calculating the demand of the normal general spare part according to the embodiment of the invention.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.
The foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and scope of the invention are intended to be included within the scope of the invention.
Claims (4)
1. A method for calculating demand quantity of normal general parts refers to general parts with unit life obeying normal distribution, and life X obeys normal distribution and is recorded as X-N (mu, sigma) 2 ) Wherein mu is a mean parameter, sigma is a root variance parameter, and the density function of X isThe method is characterized by comprising the following steps of:
s1, initializing the number S of spare parts, wherein S=0;
S2，i＝1；
s3, calculating an array p1, wherein the array comprises S+1 elements,
order the
Wherein T is i Representing the annual planned working time of the universal piece in the ith equipment, wherein i is more than or equal to 1 and less than or equal to N, and N is the total number of the equipment using the universal piece;
s4, if i is equal to 1, let p2=p1; otherwise, let p2=p1×p2, where×is the convolution symbol;
s5, let i=i+1, if i is less than or equal to N, jump to step S3, otherwise letThen jumping to step S6;
s6, judging P S Whether the spare part guarantee requirement is met, namely judging P S Whether or not it is smaller than the minimum spare part satisfaction rate P1, if P S Let s=s+1 and jump to step S2, otherwise terminate the calculation and output the current value of S as the final spare part demand.
2. A demand quantity calculating device for normal general parts refers to general parts with unit life obeying normal distribution, and life X obeys normal distribution and is recorded as X-N (mu, sigma) 2 ) Wherein mu is a mean parameter, sigma is a root variance parameter, and the density function of X isCharacterized by comprising the following steps:
an input module for setting the number of equipment N, the minimum spare part satisfaction rate P1 and the annual planned working time T of the general parts in each equipment i ，1≤i≤N；
The calculation module is used for calculating the demand of the spare parts of the general-purpose parts; the specific calculation method is as follows:
s1, initializing the number S of spare parts, wherein S=0;
S2，i＝1；
s3, calculating an array p1, wherein the array comprises S+1 elements,
order the
Wherein T is i Representing the annual planned working time of the general part in the ith equipment, wherein i is more than or equal to 1 and less than or equal to N;
s4, if i is equal to 1, let p2=p1; otherwise, let p2=p1×p2, where×is the convolution symbol;
s5, let i=i+1, if i is less than or equal to N, jump to step S3, otherwise letThen jumping to step S6;
s6, judging P S Whether the spare part guarantee requirement is met, namely judging P S Whether or not it is smaller than the minimum spare part satisfaction rate P1, if P S Let s=s+1 and jump to step S2, otherwise terminate the calculation and take the current value of S as the final spare part demand;
and the output display module is used for outputting and displaying the final spare part demand calculated by the calculation module.
3. A normal type general-purpose spare part demand amount calculating device, characterized by comprising:
a memory for storing a computer software program;
a processor for reading and executing the computer software program stored in the memory to implement a method for calculating the demand for normal universal spare parts according to claim 1.
4. A non-transitory computer readable storage medium having stored therein a computer software program for implementing a normal-type general-purpose spare part demand calculating method according to claim 1.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910944859.0A CN110727921B (en) | 2019-09-30 | 2019-09-30 | Method and device for calculating demand quantity of normal general spare parts |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910944859.0A CN110727921B (en) | 2019-09-30 | 2019-09-30 | Method and device for calculating demand quantity of normal general spare parts |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110727921A CN110727921A (en) | 2020-01-24 |
| CN110727921B true CN110727921B (en) | 2023-11-07 |
Family
ID=69218738
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910944859.0A Active CN110727921B (en) | 2019-09-30 | 2019-09-30 | Method and device for calculating demand quantity of normal general spare parts |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110727921B (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004234470A (en) * | 2003-01-31 | 2004-08-19 | Ricoh Co Ltd | Demand prediction method and demand prediction program |
| CN106777819A (en) * | 2017-01-20 | 2017-05-31 | 中国人民解放军海军工程大学 | A kind of Normal Type has the computational methods of part replacement cycle in longevity |
| US10062053B1 (en) * | 2013-10-23 | 2018-08-28 | American Airlines, Inc. | Spare component ownership planning system and method |
| CN108470250A (en) * | 2018-03-25 | 2018-08-31 | 中国人民解放军海军工程大学 | A kind of spare parts demand amount computational methods of Normal Type series components |
| CN108733883A (en) * | 2018-04-16 | 2018-11-02 | 中国人民解放军海军工程大学 | A kind of method of determining Normal Type unit replenished spares demand |
| CN109523160A (en) * | 2018-11-15 | 2019-03-26 | 青岛航讯网络技术服务有限公司 | The more normal state assembly of elements spare parts demand amounts of the long-term support mission of larger cargo ships determine method |
-
2019
- 2019-09-30 CN CN201910944859.0A patent/CN110727921B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004234470A (en) * | 2003-01-31 | 2004-08-19 | Ricoh Co Ltd | Demand prediction method and demand prediction program |
| US10062053B1 (en) * | 2013-10-23 | 2018-08-28 | American Airlines, Inc. | Spare component ownership planning system and method |
| CN106777819A (en) * | 2017-01-20 | 2017-05-31 | 中国人民解放军海军工程大学 | A kind of Normal Type has the computational methods of part replacement cycle in longevity |
| CN108470250A (en) * | 2018-03-25 | 2018-08-31 | 中国人民解放军海军工程大学 | A kind of spare parts demand amount computational methods of Normal Type series components |
| CN108733883A (en) * | 2018-04-16 | 2018-11-02 | 中国人民解放军海军工程大学 | A kind of method of determining Normal Type unit replenished spares demand |
| CN109523160A (en) * | 2018-11-15 | 2019-03-26 | 青岛航讯网络技术服务有限公司 | The more normal state assembly of elements spare parts demand amounts of the long-term support mission of larger cargo ships determine method |
Non-Patent Citations (5)
| Title |
|---|
| A new methodology to optimize target stock level for unpredictable demand of spare parts: A Case Study in Business Aircrafts’ Industry;H.Rezaei;IFAC-PapersOnline;第51卷(第11期);538-543 * |
| A simulation-based optimization approach evaluating maintenance and spare parts demand interaction effects;James M. Wakiru;International Journal of Production Economics;第208卷;329-342 * |
| 张建军,李树芳,张涛,郭波,高大化.备件保障度评估与备件需求量模型研究.电子产品可靠性与环境试验.2004,(第06期),全文. * |
| 林国宝 等.基于保障概率的初始备件需求预测方法研究.《计算机与数字工程》.2015,第43卷(第43卷),第428-451页. * |
| 邵松世 ; 刘任洋 ; 李庆民 ; 李华 ; .批量换件下多正态单元表决系统备件量确定.华中科技大学学报(自然科学版).2016,(第05期),全文. * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110727921A (en) | 2020-01-24 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106874238B (en) | Method for calculating required quantity of Weibull unit spare parts | |
| CN106844953B (en) | Guarantee probability calculation method for Weibull-type spare parts with service lives | |
| US11042823B2 (en) | Business management system | |
| CN110909917A (en) | Data mining and process model based optimization scheduling method, system, medium and equipment | |
| CN110598363A (en) | Voting component spare part amount calculation method, voting component spare part amount simulation method, voting component terminal, and storage medium | |
| CN110727921B (en) | Method and device for calculating demand quantity of normal general spare parts | |
| CN110727902B (en) | Weibull general spare part demand quantity calculating method and device | |
| CN110704884B (en) | Method and device for calculating demand quantity of log-normal general spare parts | |
| CN109144762B (en) | Processing method and device for repairing abnormal scheduling task | |
| CN110717267B (en) | Gamma-type universal part spare part demand calculation method and device | |
| CN110738007B (en) | Spare part guarantee probability calculation method and device for electronic general parts | |
| CN110717669B (en) | Method and device for calculating demand of index type universal spare parts | |
| CN110298071B (en) | Modularized component maintenance planning method and device | |
| CN110717266A (en) | Log-normal type spare part guarantee probability calculation method and device for general parts | |
| JP4924383B2 (en) | Input device and input program | |
| CN110705102B (en) | Spare part guarantee probability calculation method and device for mechanical universal parts | |
| CN111898948B (en) | Spare part ordering and inventory decision optimization method based on two-dimensional replacement strategy | |
| CN109583017B (en) | Method for calculating loss quantity of normal unit spare parts | |
| WO2003048952A1 (en) | Control chart with single display | |
| Utami et al. | Six sigma implementation in production process in electronic company Malaysia | |
| CN117829820B (en) | Method for calculating repair timely response degree | |
| KR20190059686A (en) | Method for compensating a cutting error of vessel main panel | |
| JP5493104B2 (en) | Loss cost calculation method, loss cost calculation program, and loss cost calculation device | |
| JP5123592B2 (en) | Safety stock quantity calculation system and safety stock quantity calculation program | |
| CN111429177A (en) | Method and apparatus for adjusting product price |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |