Electronic equipment spare part demand quantity calculation method considering maintenance time consumption

Abstract

The application discloses a kind of electronic equipment spare parts demand quantity calculation method considering maintenance time consumption, comprising: (1) the spare parts quantity s of each unit is 0;(2) the support intensity pdy of each unit is calculated i , and find out the unit with minimum support intensity, add 1 to the spare parts quantity of this unit;(3) traverse and calculate the timely completion repair probability ps when spare parts consumption total number r starts from 0 and increases one by one and the untimely completion repair probability pf i , the probability ps r And the probability pf r Both add maintenance time consumption factor, and when r=sn, sn is the total number of spare parts of electronic equipment, calculate spare parts support probability Pb;(4) if Pb r Pb r , P is the minimum index requirement value of spare parts support probability, then execute step (2), otherwise the spare parts demand quantity of each unit is s i , and the corresponding spare parts support probability is Pb.The application can accurately calculate the spare parts demand quantity of electronic equipment.

Description

Technical Field

[0001] This invention belongs to the field of spare parts demand calculation, and more specifically, relates to a method for calculating the spare parts demand of electronic equipment that takes into account maintenance time. Background Technology

[0002] Spare parts demand is the minimum number of spare parts required to ensure that the probability of spare parts availability is not lower than the target requirement. Currently, when calculating spare parts demand in the industry, it is generally agreed that the maintenance time for using spare parts is negligible. On the one hand, there are indeed scenarios in reality where maintenance time is very short. On the other hand, ignoring maintenance time simplifies the complex problem of calculating spare parts demand. The calculation result at this time is equivalent to the upper limit of spare parts demand.

[0003] However, in reality, there are many scenarios where maintenance takes a long time. For example, many maintenance items for civil aircraft are time-consuming. If a one-year maintenance period is taken as the mission period, and the aircraft malfunctions during the mission, the actual working time will inevitably decrease due to the maintenance time taking up the flight time during the mission period, which will lead to a decrease in the demand for spare parts.

[0004] Therefore, accurately calculating the demand for spare parts is an urgent problem to be solved. Summary of the Invention

[0005] In view of the shortcomings of the prior art, the purpose of this invention is to provide a method for calculating the demand for spare parts of electronic equipment that takes into account the maintenance time, in order to solve the problem of large errors in the traditional method for calculating the demand for spare parts of electronic equipment.

[0006] To achieve the above objectives, in a first aspect, the present invention provides a method for calculating the spare parts demand of electronic devices considering maintenance time, wherein the electronic device comprises n electronic component units, and the method comprises the following steps:

[0007] (1) Initialize the number of spare parts s for each unit i =0, where i is the unit number, 1≤i≤n;

[0008] (2) Calculate the protection strength pdy of each unit. i , guarantee strength pdy i Given the current number of spare parts, determine the probability that the cumulative working time of electronic component unit i exceeds the equipment task time, and identify the unit with the lowest guarantee strength, then increment the number of spare parts for that unit by 1.

[0009] (3) Iterate through the total number of spare parts consumed r and calculate the probability ps when the total number of spare parts consumed r increases sequentially from 0. r And probability pf r And when r = sn, calculate the spare parts availability probability.

[0010] Where sn is the total number of spare parts for the electronic equipment. ps r The maintenance time factor is incorporated, representing the probability of timely completion of maintenance for equipment consuming r spare parts; pf r The maintenance time factor is included, which represents the probability that the equipment consumes r spare parts but maintenance is not completed in time;

[0011] (4) If Pb < P, where P is the minimum required value for spare parts availability probability, then proceed to step (2); otherwise, the spare parts requirement for each unit is s. i The corresponding spare parts availability probability is Pb.

[0012] In one embodiment, in step (2), the protection strength pdy of each unit i The calculation formula is:

[0013]

[0014] In the formula, Γ() is the gamma function. T represents the task time of the electronic device; a i This represents the average lifetime of electronic component unit i.

[0015] In one embodiment, in step (3), the probability ps r The calculation formula is:

[0016]

[0017] In the formula, Γ() is the gamma function. T represents the task time of the electronic device; a i Let be the average lifespan of electronic component unit i; b be the average maintenance time of the electronic device; q(x) be the probability that the electronic device consumes r spare parts;

[0018] The specific steps for calculating q(x) are as follows:

[0019] (Q.1) Let the number of the electronic component unit i = 1;

[0020] (Q.2) Calculate the probability array pd1, where the probability array pd1 includes S. i +1 element, the value of each element is determined by the following formula:

[0021]

[0022] (Q.3) If i = 1, let array pj1 = pd1; otherwise, let pj1 = pj1 * pd1, where * is the convolution calculation symbol.

[0023] (Q.4) Update i = i + 1. If i ≤ n, execute step (Q.2); otherwise, q(x) = pj11+r pj1 1+r It is the (1+r)th element in the array pj1 obtained in step (Q.3).

[0024] In one embodiment, in step (3), the probability pf is calculated. r The specific steps are as follows:

[0025] (F.1) Let the electronic component unit number i = 1;

[0026] (F.2) Calculate the probability pft that electronic component unit i fails to complete maintenance in a timely manner. i probability pft i The calculation formula is:

[0027]

[0028] In the formula, T represents the task time of the electronic device; a i Let be the average lifespan of electronic component unit i; b be the average maintenance time of the electronic equipment; g(x) be the probability of consuming r spare parts under the condition that maintenance is not completed in time. h(x) is the probability of the equipment's operating time when maintenance is not completed in time and a total of r spare parts are consumed;

[0029] The specific steps for calculating h(x) are as follows:

[0030] (H.1) Initialize the electronic component unit number j = 1;

[0031] (H.2) Calculate the probability array pd2. If j = i, then the probability array pd2 includes S. j There are n elements, and the values ​​of each element are: If j ≠ i, then the probability array pd2 includes S j +1 element, the value of each element is: In the formula, Γ() is the gamma function. a j Let j be the average lifetime of electronic component unit j;

[0032] (H.3) If j = 1, let array pj2 = pd2; otherwise, let pj2 = pj2 * pd2, where * is the convolution calculation symbol.

[0033] (H.4) Update j = j + 1. If j ≤ n, execute step (H.2); otherwise, h(x) = pj2. r pj2 r This refers to the r-th element in the array pj2 obtained in step (H.3);

[0034] (F.3) Update i = i + 1. If i ≤ n, proceed to step (F.2); otherwise...

[0035] In one embodiment, the method is applicable to calculating the spare parts demand for electronic equipment when the repair time is greater than 0.5 hours.

[0036] Secondly, the present invention provides a system for calculating the demand for spare parts for electronic devices that takes into account maintenance time, comprising:

[0037] The initialization module is configured to initialize the number of spare parts s for each unit. i =0, where i is the unit number, 1≤i≤n;

[0038] The protection strength calculation module is configured to calculate the protection strength pdy for each unit. i , guarantee strength pdy i Given the current number of spare parts, determine the probability that the cumulative working time of electronic component unit i exceeds the equipment task time, and identify the unit with the lowest guarantee strength, then increment the number of spare parts for that unit by 1.

[0039] The probability calculation module is configured to iterate through and calculate the probability ps of the total spare parts consumption r increasing sequentially from 0. r And probability pf r And when r = sn, calculate the spare parts availability probability. Where sn is the total number of spare parts for the electronic equipment. ps r The maintenance time factor is incorporated, representing the probability of timely completion of maintenance for equipment consuming r spare parts; pf r The maintenance time factor is included, which represents the probability that the equipment consumes r spare parts but maintenance is not completed in time;

[0040] The spare parts demand calculation module is configured to activate the support strength calculation module if Pb < P, where P is the minimum required value for spare parts availability probability; otherwise, the spare parts demand for each unit is s. i The corresponding spare parts availability probability is Pb.

[0041] Thirdly, the present invention provides a device for calculating the demand for spare parts for electronic devices that takes into account maintenance time, comprising:

[0042] Memory, on which computer programs are stored; and

[0043] A processor for executing the computer program in the memory to implement the steps of any of the methods described above.

[0044] Fourthly, the present invention provides a storage medium having a computer program stored thereon, characterized in that the program, when executed by a processor, implements the steps of any of the methods described above.

[0045] The present invention provides a method, system, device, and storage medium for calculating the demand for spare parts of electronic equipment that takes into account the time spent on maintenance. Considering that maintenance time occupies working time during the task, which reduces the demand for spare parts and makes the probability of spare parts availability greater for the same number of spare parts, the present invention incorporates the maintenance time factor when calculating the demand for spare parts and combines the probability of timely completion of maintenance with the probability of not timely completion of maintenance to calculate the probability of spare parts availability, thereby determining the demand for spare parts under the required indicators. Compared with the traditional method of calculating the demand for spare parts that ignores maintenance time, this invention can effectively improve the calculation accuracy of the demand for spare parts of electronic equipment. Attached Figure Description

[0046] Figure 1 This is a flowchart of a method for calculating the demand for spare parts for electronic devices that takes into account maintenance time, provided in an embodiment of the present invention.

[0047] Figure 2 This is a comparison chart of spare parts availability probability results using the industry's previous methods under ideal conditions that ignore maintenance time, the calculation method of this invention that takes maintenance time into account, and the simulation method that takes maintenance time into account. Detailed Implementation

[0048] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0049] It should be noted that electronic devices are composed of multiple electronic components of different types. When one component fails, the entire device is considered to have failed, and repairs are completed by replacing the faulty component. The lifespan of electronic components generally follows an exponential distribution, such as printed circuit board components, electronic parts, resistors, capacitors, and integrated circuits. A random variable follows an exponential distribution E(μ), where μ is the mean of the variable and its probability density function is...

[0050] To address the issue of large errors in traditional methods for calculating the demand for spare parts in electronic equipment, this invention provides a method for calculating the demand for spare parts in electronic equipment that takes into account maintenance time, primarily targeting scenarios where maintenance time is long (more than 0.5 hours). Figure 1 This is a flowchart of a method for calculating the demand for spare parts for electronic devices that takes into account maintenance time, provided by an embodiment of the present invention. Figure 1 As shown, the task time of an electronic device is T. This electronic device consists of n electronic components, and the lifetimes of these components follow an exponential distribution E(a). i If the repair time follows an exponential distribution E(b), and the probability of spare parts availability is required to be no less than P, then the method for estimating the spare parts requirement for this electronic device is as follows:

[0051] S10, Initialize the number of spare parts s for each unit. i =0, where i is the unit number, 1≤i≤n.

[0052] S20, calculate the protection strength pdy of each unit. i , guarantee strength pdy i Given the current number of spare parts, determine the probability that the cumulative working time of electronic component unit i exceeds the equipment task time, identify the unit with the lowest guarantee level, and increment the number of spare parts for that unit by 1.

[0053] In this embodiment, the protection strength pdy of each unit i The specific calculation formula can be:

[0054]

[0055] In the formula, Γ() is the gamma function. T represents the task time of the electronic device; a i This represents the average lifetime of electronic component unit i.

[0056] S30, iterate through and calculate the probability ps of the total spare parts consumption r increasing sequentially from 0. r And probability pf r And when r = sn, calculate the spare parts availability probability.

[0057] Where sn is the total number of spare parts for the electronic equipment. ps r The maintenance time factor is incorporated, representing the probability of timely completion of maintenance for equipment consuming r spare parts; pf r The maintenance time factor has been added, which represents the probability that the equipment will not be repaired in time if r spare parts are consumed.

[0058] In this embodiment, step S30 specifically includes the following steps:

[0059] S31, setting the total number of spare parts The total number of spare parts consumed, r = 0.

[0060] S32, calculate the probability ps of timely completion of repair when the equipment consumes r spare parts. r probability ps r The calculation formula is:

[0061]

[0062] In the formula, b is the average repair time of electronic equipment; q(x) is the probability that the electronic equipment consumes r spare parts.

[0063] The specific steps for calculating q(x) are as follows:

[0064] (Q.1) Let the number of the electronic component unit be i = 1.

[0065] (Q.2) Calculate the probability array pd1, where the probability array pd1 includes S. i +1 element, the value of each element is determined by the following formula:

[0066]

[0067] (Q.3) If i = 1, let array pj1 = pd1; otherwise, let pj1 = pj1 * pd1, where * is the convolution calculation symbol.

[0068] (Q.4) Update i = i + 1. If i ≤ n, execute step (Q.2); otherwise, q(x) = pj1 1+r pj1 1+r It is the (1+r)th element in the array pj1 obtained in step (Q.3).

[0069] S33, the probability pf that equipment fails to complete repairs in a timely manner after consuming r spare parts. r .

[0070] Wherein, probability pf r The specific steps are as follows:

[0071] S331, let the electronic component unit number i = 1.

[0072] S332, calculate the probability pft that electronic component unit i fails to complete maintenance in a timely manner. i probability pft i The calculation formula is:

[0073]

[0074] In the formula, g(x) represents the probability of consuming r spare parts during maintenance if maintenance is not completed in a timely manner. h(x) is the probability of the equipment's operating time if maintenance is not completed in time and a total of r spare parts are consumed.

[0075] The specific steps for calculating h(x) are as follows:

[0076] (H.1) Initialize the electronic component unit number j = 1.

[0077] (H.2) Calculate the probability array pd2. If j = i, then the probability array pd2 includes S. j There are n elements, and the values ​​of each element are: If j ≠ i, then the probability array pd2 includes S j +1 element, the value of each element is:

[0078]

[0079] In the formula, Γ() is the gamma function. a j Let be the average lifetime of electronic component unit j.

[0080] (H.3) If j = 1, let array pj2 = pd2; otherwise, let pj2 = pj2 * pd2, where * is the convolution calculation symbol.

[0081] (H.4) Update j = j + 1. If j ≤ n, execute step (H.2); otherwise, h(x) = pj2. r pj2 r It is the r-th element in the array pj2 obtained in step (H.3).

[0082] S333, update i = i + 1. If i ≤ n, execute step S332; otherwise...

[0083] S34, update r = r + 1. If r ≤ sn, execute step S32; otherwise, set the spare parts availability probability.

[0084]

[0085] S40, if Pb < P, where P is the minimum required value for spare parts availability probability, then proceed to step S20; otherwise, the spare parts requirement for each unit is s. i The corresponding spare parts availability probability is Pb.

[0086] The method for calculating the demand for spare parts for electronic equipment that takes into account maintenance time provided in this embodiment takes into account the fact that maintenance time occupies the working time during the task, which will reduce the demand for spare parts and make the probability of spare parts availability greater for the same number of spare parts. When calculating the demand for spare parts, the maintenance time factor is added and the probability of timely completion of maintenance and failure to complete maintenance are combined to calculate the probability of spare parts availability, thereby determining the demand for spare parts under the required indicators. Compared with the traditional method of calculating the demand for spare parts that ignores maintenance time, it can effectively improve the calculation accuracy of the demand for spare parts for electronic equipment.

[0087] The present invention also provides a system for calculating the demand for spare parts of electronic equipment that takes into account the maintenance time, including an initialization module, a support strength calculation module, a support probability calculation module, and a spare parts demand calculation module.

[0088] In this embodiment, the initialization module is configured to initialize the number of spare parts s for each unit. i =0, where i is the unit number, 1≤i≤n.

[0089] The protection strength calculation module is configured to calculate the protection strength pdy of each unit.i , guarantee strength pdy i Given the current number of spare parts, determine the probability that the cumulative working time of electronic component unit i exceeds the equipment task time, and identify the unit with the lowest guarantee strength, then increment the number of spare parts for that unit by 1.

[0090] The probability calculation module is configured to iterate through and calculate the probability ps of the total spare parts consumption r starting from 0 and increasing sequentially. r And probability pf r And when r = sn, calculate the spare parts availability probability.

[0091] Where sn is the total number of spare parts for the electronic equipment. ps r The maintenance time factor is incorporated, representing the probability of timely completion of maintenance for equipment consuming r spare parts; pf r The maintenance time factor has been added, which represents the probability that the equipment will not be repaired in time if r spare parts are consumed.

[0092] The spare parts requirement calculation module is configured to activate the support strength calculation module if Pb < P, where P is the minimum required value for spare parts availability probability; otherwise, the spare parts requirement for each unit is s. i The corresponding spare parts availability probability is Pb.

[0093] The present invention also provides a device for calculating the demand for spare parts for electronic devices that takes into account maintenance time. The device includes a processor for executing the following program modules stored in a memory:

[0094] The initialization module is configured to initialize the number of spare parts s for each unit. i =0, where i is the unit number, 1≤i≤n.

[0095] The protection strength calculation module is configured to calculate the protection strength pdy for each unit. i , guarantee strength pdy i Given the current number of spare parts, determine the probability that the cumulative working time of electronic component unit i exceeds the equipment task time, and identify the unit with the lowest guarantee strength, then increment the number of spare parts for that unit by 1.

[0096] The probability calculation module is configured to iterate through and calculate the probability ps of the total spare parts consumption r increasing sequentially from 0. r And probability pf r And when r = sn, calculate the spare parts availability probability. Where sn is the total number of spare parts for the electronic equipment. ps r The maintenance time factor is incorporated, representing the probability of timely completion of maintenance for equipment consuming r spare parts; pf rThe maintenance time factor has been added, which represents the probability that the equipment will not be repaired in time if r spare parts are consumed.

[0097] The spare parts demand calculation module is configured to activate the support strength calculation module if Pb < P, where P is the minimum required value for spare parts availability probability; otherwise, the spare parts demand for each unit is s. i The corresponding spare parts availability probability is Pb.

[0098] In addition, the present invention also provides a storage medium on which a computer program is stored, which, when executed by a processor, implements the above-described estimation method steps.

[0099] It should be noted that the system, device and storage medium provided by the present invention and the method in the foregoing embodiments are based on two aspects of the same inventive concept. The implementation process of the method has been described in detail above, so those skilled in the art can clearly understand the structure and implementation process of the system in this embodiment based on the foregoing description. For the sake of brevity, it will not be described again here.

[0100] The calculation method provided by the present invention will be described in detail below with reference to specific embodiments:

[0101] An electronic component consists of 4 electronic units. The lifespan of the electronic units follows an exponential distribution E(110), E(120), E(130), E(140). The task time is 150 hours, and the time to repair the fault follows an exponential distribution E(10). The spare parts availability probability is required to be no less than 0.9. Calculate the spare parts requirement at this time.

[0102] Solution: (1) Initialize the number of spare parts s in each unit i =0, 1≤i≤n.

[0103] (2) Identify the unit with the least protection strength. At this time, the pdy values ​​of each unit are 0.26, 0.29, 0.32, and 0.34 respectively. Unit 1 is the unit with the least protection strength, so add one spare part to it.

[0104] After executing steps S20 and S30 multiple times, the number of spare parts and the probability of spare parts availability for each unit are shown in Table 1.

[0105] Table 1

[0106] 0.026 1 1 0 0 0 0.062 2 1 1 0 0 0.140 3 1 1 1 0 0.293 4 1 1 1 1 0.398 5 2 1 1 1 0.515 6 2 2 1 1 0.641 7 2 2 2 1 0.773 8 2 2 2 2 0.830 9 3 2 2 2 0.880 10 3 3 2 2 0.922 11 3 3 3 2

[0107] (3) The spare parts demand of each unit is 3, 3, 3, 2, and the corresponding spare parts guarantee probability is 0.922, which meets the requirement of not less than 0.9.

[0108] The key to the electronic device spare parts demand calculation method provided by this invention lies in calculating the spare parts availability probability corresponding to the spare parts quantity. This is achieved by employing industry-standard methods under ideal conditions that ignore maintenance time, the evaluation method presented in this paper that considers maintenance time, and a simulation method that considers maintenance time. Figure 2 The results show the probability of spare parts availability for three different scenarios with a total spare parts quantity of 1 to 20 in the above example. Figure 2 This indicates that the evaluation results of the calculation method provided by this invention are in excellent agreement with the simulation results, reflecting the actual situation that "due to the time spent on maintenance during the task, the demand for spare parts will decrease, and the probability of spare parts availability should be higher for the same number of spare parts." Faced with the same requirement of "spare parts availability probability not less than 0.9," the total number of spare parts ignoring maintenance time and considering maintenance time are 14 and 11 respectively. When faced with the actual situation of large maintenance time, the calculation method provided by this invention can more reasonably determine the spare parts demand, effectively solving the problem of excessive spare parts preparation caused by previous industry methods.

[0109] Those skilled in the art will readily understand that the above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for calculating the demand for spare parts for electronic equipment considering maintenance time, characterized in that, The electronic device includes A single electronic component unit, the method comprising the following steps: (1) Initialize the number of spare parts for each unit =0, The unit number, 1≤ ≤ ; (2) Calculate the support strength of each unit Safeguards For electronic components Given the current number of spare parts, determine the probability that the cumulative working time exceeds the equipment task time, identify the unit with the weakest support, and increase the number of spare parts for that unit by 1. (3) Calculate the total number of spare parts consumed. The probability of incrementing from 0. Sum of probabilities , and when = At that time, calculate the spare parts availability probability. ;in, This represents the total number of spare parts for electronic equipment. ; The time spent on maintenance has been factored in, thus affecting equipment consumption. The probability of timely repair of each spare part; The time spent on maintenance has been factored in, thus affecting equipment consumption. The probability that a spare part is not repaired in a timely manner; (4) If Pb < P, where P is the minimum required value for spare parts availability, then proceed to step (2); otherwise, the spare parts requirement for each unit is... The corresponding spare parts availability probability is Pb; In step (3), the probability The calculation formula is: In the formula, For gamma function, ; For the task time of electronic devices; For electronic components The average lifespan; This represents the average repair time for electronic equipment. Consumption of electronic devices The probability of a spare part; In step (3), the probability is calculated. The specific steps are as follows: (F.1) Number the electronic component unit =1; (F.2) Computing Electronics Unit The probability of not completing repairs in a timely manner probability The calculation formula is: In the formula, For the task time of electronic devices; For electronic components The average lifespan; This represents the average repair time for electronic equipment. Consumption due to failure to complete maintenance in a timely manner The probability of repair time for each spare part ; The failure to complete the repairs in a timely manner and the resulting costs The probability of equipment operating time when a spare part is used; (F.3) Update = +1, if ≤ Perform step (F.2), otherwise .

2. The method for calculating the demand for spare parts for electronic equipment considering maintenance time, as described in claim 1, is characterized in that... In step (2), the guarantee strength pdy of each unit i The calculation formula is: In the formula, For gamma function, ; For the task time of electronic devices; For electronic components The average lifespan.

3. The method for calculating the demand for spare parts for electronic equipment considering maintenance time according to claim 1, characterized in that, in, The specific calculation steps are as follows: (Q.1) Let the electronic component unit number... =1; (Q.2) Calculate the probability array pd1, which includes... +1 element, the value of each element is determined by the following formula: ； (Q.3) If = 1. Set array pj1 = pd1; otherwise, set pj1 = pj1 * pd1. This is the symbol for convolution calculation; (Q.4) Update = +1, if ≤ Perform step (Q.2), otherwise , The first and second elements in the array pj1 obtained in step (Q.3) Each element.

4. The method for calculating the demand for spare parts for electronic equipment considering maintenance time, as described in claim 1, is characterized in that... in, The specific calculation steps are as follows: (H.1) Initialize electronic component unit numbering = 1; (H.2) Calculate the probability array pd2, if = Then the probability array pd2 includes There are n elements, and the values ​​of each element are: ; like j≠i Then the probability array pd2 includes +1 element, the value of each element is: In the formula, For gamma function, ; For electronic components The average lifespan; (H.3) If = 1. Set array pj2 = pd2; otherwise, set pj2 = pj2 * pd2. This is the symbol for convolution calculation; (H.4) Update = +1, if ≤ Execute step (H.2), otherwise , The first element in the array pj2 obtained in step (H.3) Each element.

5. The method for calculating the demand for spare parts for electronic equipment considering maintenance time, as described in claim 1, is characterized in that... The method is applicable to calculating the spare parts demand of electronic equipment when the repair time is greater than 0.5 hours.

6. A system for calculating the demand for spare parts for electronic equipment that takes into account maintenance time, characterized in that, include: The initialization module is configured to initialize the number of spare parts for each unit. =0, The unit number, 1≤ ≤ ; The protection strength calculation module is configured to calculate the protection strength of each unit. Safeguards For electronic components Given the current number of spare parts, determine the probability that the cumulative working time exceeds the equipment task time, identify the unit with the weakest support, and increase the number of spare parts for that unit by 1. The probability calculation module is configured to iterate through and calculate the total number of spare parts consumed. The probability of incrementing from 0. Sum of probabilities , and when When =sn, calculate the spare parts availability probability. Where sn is the total number of spare parts for the electronic equipment. ; The time spent on maintenance has been factored in, thus affecting equipment consumption. The probability of timely repair of each spare part; The time spent on maintenance has been factored in, thus affecting equipment consumption. The probability that a spare part is not repaired in a timely manner; The spare parts requirement calculation module is configured to activate the support strength calculation module if Pb < P, where P is the minimum required value for spare parts availability probability; otherwise, the spare parts requirement for each unit is... s i The corresponding spare parts availability probability is Pb; probability The calculation formula is: In the formula, For gamma function, ; For the task time of electronic devices; For electronic components The average lifespan; This represents the average repair time for electronic equipment. Consumption of electronic devices The probability of a spare part; Calculate probability The specific steps are as follows: (F.1) Number the electronic component unit =1; (F.2) Computing Electronics Unit The probability of not completing repairs in a timely manner probability The calculation formula is: In the formula, For the task time of electronic devices; For electronic components The average lifespan; This represents the average repair time for electronic equipment. Consumption due to failure to complete maintenance in a timely manner The probability of repair time for each spare part ; The failure to complete the repairs in a timely manner and the resulting costs The probability of equipment operating time when a spare part is used; (F.3) Update = +1, if ≤ Perform step (F.2), otherwise .

7. A device for calculating the demand for spare parts for electronic equipment that takes into account maintenance time, characterized in that, include: A memory on which computer programs are stored; as well as A processor for executing the computer program in the memory to implement the steps of the method according to any one of claims 1 to 5.

8. A storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the program implements the steps of the method described in any one of claims 1 to 5.

Images