Spare part safety inventory management method, device and system

Abstract

The invention discloses a spare part safety inventory management method, device and system, and the method comprises the steps: calculating the total spare part demand number of a certain spare part on a certain device in a production cycle based on a pre-constructed spare part demand model, and enabling the spare part demand model to be related to the planned operation time and the service life of the device, the Poisson distribution is met; and when the total demand number of the spare parts meets a set threshold value, calculating a corresponding safety stock based on a preset safety stock calculation strategy by combining a spare part level classification result. According to the invention, the appropriate safety inventory management strategy is generated by combining the equipment operation time, the service life and the spare part level classification, so that the spare part safety inventory management can be more efficiently and flexibly realized, and the requirements of modern industrial production are met.

Description

Technical Field

[0001] The present invention belongs to the technical field of production equipment spare parts management, and in particular relates to a spare parts safety inventory management method, device and system. Background Art

[0002] With the rapid development of industrial production, the complexity and diversity of equipment are increasing, and the importance of spare parts management is becoming more and more prominent. Effective spare parts management is not only related to the efficient operation of equipment, but also directly affects the continuity and economic benefits of production. In actual production, the frequency of use and importance of spare parts to production vary. Reasonable classification management can optimize inventory strategies. Important spare parts are usually crucial to the operation of production lines, and a high safety stock must be maintained to avoid downtime, while necessary spare parts and removable spare parts can adopt more flexible inventory management strategies based on their actual usage. By clarifying the level classification of spare parts, enterprises can better manage inventory, reduce holding costs and improve turnover efficiency.

[0003] Traditional spare parts management methods rely on static data and empirical judgments, usually based on historical demand predictions, and lack dynamic monitoring of equipment operating status and service life. This method can easily lead to inaccurate forecasts of spare parts demand, resulting in out-of-stock or excess inventory, which in turn affects production efficiency and corporate profitability. The operating time and service life of equipment are important factors in determining spare parts demand. The performance and failure rate of equipment will change significantly at different operating stages. For example, as the service life increases, the probability of equipment failure increases, and the demand for spare parts also increases. Therefore, considering the impact of equipment operating time and service life on spare parts demand can help achieve more accurate demand forecasts.

[0004] In the Chinese invention patent application with publication number CN108022061A, an inventory management system and method are disclosed, which includes: a control device; an inventory database; a safety inventory calculation device, based on the control of the control device, triggers and executes the safety inventory calculation process with a first time period as a cycle, for calculating the safety inventory of each component when the total inventory cost is the smallest in the next first time period, and updates it to the inventory database; a remaining inventory calculation device, based on the control of the control device, triggers and executes the remaining inventory calculation process with a second time period as a cycle, to calculate the remaining inventory of each component, and updates it to the inventory database; and a purchase calculation device, based on the control of the control device, triggers and executes the purchase calculation process with the second time period as a cycle. By adopting the above-mentioned inventory management system of the present invention, the inventory can be optimized, thereby effectively reducing the waste of inventory space, inventory management personnel, and funds. In this scheme, the safety inventory is controlled by minimizing the cost through the out-of-stock rate. However, it is necessary to combine the demand number of each category of spare parts in the cycle to confirm the out-of-stock number, storage number, and transportation number of each spare part in each cycle. The demand number of spare parts of each category within a cycle is predicted by historical data to obtain the total number of spare parts within the cycle. Through Poisson distribution, the demand number of spare parts of each category is obtained according to the total number of spare parts within the cycle. There are many prediction links, and the next prediction depends on the result of the previous prediction link, resulting in low accuracy of the final result.

[0005] In the Chinese invention patent application with publication number CN105160513A, a method and system for calculating the safety stock of equipment spare parts are disclosed, which include the following steps: Step 1: Based on the sliding window method, the historical spare parts replacement records are counted, and based on the MTBF algorithm, the distribution of the probability of the life cycle duration of each spare part is determined; Step 2: Based on the distribution of the probability of the life cycle duration of the spare parts, the replacement probability is calculated for each spare part to determine whether the spare part needs to be replaced in the next cycle; and then the total number of all spare parts that need to be replaced in the next cycle is counted, and the total number is the safety stock amount k1. The method and system for calculating the safety stock of equipment spare parts are easy to implement and have higher accuracy, which is conducive to ensuring the normal operation of machinery and equipment. Based on the MBTF algorithm, the scheme predicts whether a spare part needs to be replaced in the next cycle, and obtains the safety stock by accumulating the spare parts that need to be replaced. The method is simple to calculate, but in actual use, it lacks economic considerations.

[0006] In the Chinese invention patent application with publication number CN104134132A, a control method for a safety inventory control system is disclosed, including a server, a switch, a distribution computer, a spare parts planning computer, a warehouse computer and a supervisor computer located at the headquarters; a provincial material management computer located in each province, and an office computer located in each office within the province; the switch is electrically connected to the server, the distribution computer, the spare parts planning computer, the warehouse computer and the supervisor computer, respectively, and the switch is connected to each provincial material management computer and the office computer through the Internet. The present invention has the characteristics that the inventory is always within a reasonable range, effectively reduces inventory backlogs, speeds up inventory turnover, and thus reduces inventory occupancy costs. The solution dynamically calculates the inventory of each branch warehouse and the main warehouse, so that the inventory of each branch warehouse is always within a reasonable range. However, in actual use, there is a lack of economic considerations.

[0007] In the Chinese invention patent application with publication number CN112561411A, a calculation method, storage device and terminal for the number of spare parts safety stocks are disclosed, including the following steps: S100, obtaining sample parameters, the sample parameters include: death data and right-censored data; S200, obtaining a reliability distribution function according to the sample parameters, the reliability distribution function is used to represent the failure distribution of spare parts; S300, obtaining the posterior probability of each currently working spare part failing in the next procurement cycle according to the reliability distribution function; S400, obtaining the probability distribution function of the number of failures according to the posterior probability; S500, obtaining service level parameters; S600, obtaining the number of spare parts safety stocks according to the service level parameters and the probability distribution function of the number of failures. The method, storage device and terminal for calculating the number of spare parts safety stocks provided by the present invention can give a recommendation on the number of spare parts inventory that meets the set customer service level conditions, provide a scientific quantitative method for the spare parts inventory of an enterprise, and effectively reduce the operation and maintenance costs. This solution collects the operating parameters of spare parts, establishes a reliable analysis model, and predicts the probability of failure in the next cycle. This method has high prediction accuracy, but the data collection cost is high and the model operation takes a long time.

[0008] In the Chinese invention patent application with publication number CN104732287A, an inventory control method based on the optimal replenishment cycle of spare parts is disclosed. The present invention provides an inventory control method based on the optimal replenishment cycle of spare parts, which aims to reduce the spare parts inventory cost of the enterprise as the core, and proposes a complete inventory control model based on the optimal replenishment cycle of spare parts by analyzing the impact of the replenishment cycle of spare parts on the inventory level, so as to optimize the spare parts inventory of the enterprise. The optimal number of spare parts replenishment and the safety inventory of spare parts storage in a replenishment cycle are judged by the historical demand characteristics of spare parts and the costs of spare parts procurement and storage, and the time and replenishment batch of spare parts are judged in combination with the demand forecast value of spare parts. The scheme constructs a set of inventory control models based on the optimal replenishment cycle of spare parts, and predicts the optimal replenishment time and batch of spare parts in the next cycle through historical spare parts demand data, but the method only performs effect value analysis based on different types of spare parts, and lacks effect value analysis of the equipment using the spare parts. Summary of the invention

[0009] In response to the above problems, the present invention proposes a spare parts safety inventory management method, device and system, which generates a suitable safety inventory management strategy by combining equipment operating time, service life, and spare parts level classification, and can more efficiently and flexibly implement spare parts safety inventory management to meet the needs of modern industrial production.

[0010] In order to achieve the above technical objectives and the above technical effects, the present invention is implemented through the following technical solutions:

[0011] In a first aspect, the present invention provides a spare parts safety inventory management method, comprising:

[0012] Based on a pre-built spare parts demand model, the total number of spare parts demand for a certain spare part on a certain equipment during the production cycle is calculated. The spare parts demand model is related to the planned operating time and service life of the equipment and conforms to the Poisson distribution;

[0013] When the total number of spare parts requirements meets the set threshold, the corresponding safety stock is calculated based on the preset safety stock calculation strategy in combination with the spare parts level classification results.

[0014] In combination with the first aspect, optionally, the mathematical expression of the spare parts demand model is:

[0015] ;

[0016] ;

[0017] in, For equipment Total number of spare parts required; For equipment The planned running time of For equipment The useful life of is a constant term, which indicates the initial number of spare parts in the inventory before the production cycle begins. , , All are weight coefficients; is the total number of spare parts required in the preset production cycle, is the total number of devices.

[0018] In combination with the first aspect, optionally, when the total number of spare parts requirements meets a set condition, the corresponding safety stock is calculated based on a preset safety stock calculation strategy in combination with the spare parts level classification result, including:

[0019] When the total number of spare parts requirements is greater than a set threshold, the first safety stock is calculated based on the service level and the total number of spare parts requirements of the normal distribution;

[0020] When the total number of spare parts requirements is less than or equal to the set threshold, the second safety stock is calculated based on the out-of-stock rate and the total number of spare parts requirements.

[0021] In combination with the first aspect, optionally, when the total number of spare parts demand is greater than a set threshold, the calculation formula of the first safety stock is:

[0022] ;

[0023] in, is the out-of-stock rate, which is related to the importance of spare parts; As the first safety stock, The total number of spare parts required in the preset production cycle.

[0024] In combination with the first aspect, optionally, the higher the importance of the spare parts, the smaller the value of the out-of-stock rate.

[0025] In combination with the first aspect, optionally, when the total number of spare parts requirements is less than or equal to a set threshold, the calculation formula of the second safety stock is:

[0026] ;

[0027] in, It is the second safety stock; is the standard deviation multiple corresponding to the selected service level, which is related to the importance of the spare part; is the standard deviation of demand during the production cycle; , The total number of spare parts required in the preset production cycle; For the production cycle.

[0028] In combination with the first aspect, optionally, the higher the importance of the spare part, the greater the value of the service level.

[0029] In a second aspect, the present invention provides a spare parts safety inventory management device, comprising:

[0030] A total number of spare parts demand calculation module is used to calculate the total number of spare parts demand for a certain spare part on a certain equipment within a production cycle based on a pre-built spare parts demand model, wherein the spare parts demand model is related to the planned operating time and service life of the equipment and conforms to the Poisson distribution;

[0031] A first safety stock calculation module, used for calculating a first safety stock based on a service level of a normal distribution and the total number of spare parts demands when the total number of spare parts demands is greater than a set threshold;

[0032] The second safety stock calculation module is used to calculate the second safety stock based on the out-of-stock rate and the total number of spare parts requirements when the total number of spare parts requirements is less than or equal to a set threshold.

[0033] In a third aspect, the present invention provides a spare parts safety inventory management device, comprising:

[0034] Production planning module, used to obtain the operation data and attribute data of all equipment involved in the historical production cycle;

[0035] Maintenance module, used to obtain spare parts data generated during historical maintenance processes;

[0036] Maintenance module, used to obtain spare parts data generated during historical maintenance processes;

[0037] A spare parts demand model building module, used to generate a spare parts demand model based on the historical data of the production planning module, the repair module and the maintenance module;

[0038] The spare parts management module is connected to the production planning module and the spare parts demand model building module respectively, and is configured to execute any one of the methods described in the first aspect.

[0039] In a fourth aspect, the present invention provides a spare parts safety inventory management system, including a storage medium and a processor;

[0040] The storage medium is used to store instructions;

[0041] The processor is configured to operate according to the instructions to execute the method according to any one of the first aspects.

[0042] Compared with the prior art, the present invention has the following beneficial effects:

[0043] The present invention proposes a spare parts safety inventory management method, device and system, which generate a suitable safety inventory management strategy by combining equipment operation time, service life and spare parts grade classification, and can realize spare parts safety inventory management more efficiently and flexibly to meet the needs of modern industrial production. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative labor, among which:

[0045] Figure 1 A schematic diagram of a spare parts safety inventory management method flow chart according to an embodiment of the present invention;

[0046] Figure 2 The figure is a schematic diagram of the structure of a spare parts safety inventory management device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0047] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0048] In addition, if there are descriptions involving "first", "second", etc. in the embodiments of the present invention, the descriptions of "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or suggesting their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In addition, the technical solutions between the various embodiments can be combined with each other, but they must be based on the ability of ordinary technicians in the field to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0049] Example 1

[0050] The present invention provides a method for managing spare parts safety inventory. Figure 1 As shown, the following steps are included:

[0051] (1) Calculate the total number of spare parts required for a certain spare part on a certain equipment during the production cycle based on a pre-built spare parts demand model, where the spare parts demand model is related to the planned operating time and service life of the equipment and conforms to the Poisson distribution;

[0052] (2) When the total number of spare parts demand meets the set threshold, the corresponding safety stock is calculated based on the preset safety stock calculation strategy in combination with the spare parts level classification results.

[0053] In a specific implementation of the embodiment of the present invention, the mathematical expression of the spare parts demand model is:

[0054] ;

[0055]

[0056] in, For equipment Total number of spare parts required; For equipment The planned running time of For equipment The useful life of is a constant term, which indicates the initial number of spare parts in the inventory before the production cycle begins. , , All are weight coefficients; is the total number of spare parts required in the preset production cycle, is the total number of devices. In the specific implementation process, the weight coefficient , , Obtained through the following methods:

[0057] Use the production planning module to obtain the operating data and attribute data of all equipment involved in the production cycle;

[0058] Use the maintenance module to obtain spare parts data generated during the maintenance process;

[0059] Use the maintenance module to obtain spare parts data generated during the maintenance process;

[0060] Based on the operating data, property data and spare parts data of all equipment, and , use mean square error (MSE) or mean absolute error (MAE) to evaluate the prediction error, use Deviance or Pearson's Chi-square to measure the fit between the model and the actual data, and finally get the weight coefficient , , The value of .

[0061] In a specific implementation of the embodiment of the present invention, when the total number of spare parts requirements meets the set conditions, the corresponding safety stock is calculated based on the preset safety stock calculation strategy in combination with the spare parts level classification result, including:

[0062] When the total number of spare parts requirements is greater than a set threshold, the first safety stock is calculated based on the service level and the total number of spare parts requirements of the normal distribution;

[0063] When the total number of spare parts requirements is less than or equal to the set threshold, the second safety stock is calculated based on the out-of-stock rate and the total number of spare parts requirements.

[0064] When the total number of spare parts demand is greater than the set threshold, the calculation formula of the first safety stock is:

[0065] ;

[0066] in, is the out-of-stock rate, which is related to the importance of spare parts; It is the first safety stock; The total number of spare parts required in the preset production cycle. The higher the importance of the spare parts, the smaller the out-of-stock rate.

[0067] When the total number of spare parts demand is less than or equal to the set threshold, the calculation formula of the second safety stock is:

[0068] ;

[0069] in, It is the second safety stock; is the standard deviation multiple corresponding to the selected service level, which is related to the importance of the spare part; is the standard deviation of demand during the production cycle; , The total number of spare parts required in the preset production cycle; The higher the importance of the spare parts, the greater the service level.

[0070] A spare parts safety inventory management method in an embodiment of the present invention is described in detail below in conjunction with a specific implementation manner.

[0071] Step 1: Obtain key information such as the equipment that needs to be invested, the planned operating time of each equipment, and the service life of each equipment from the production planning module in a certain production cycle. In a certain production cycle, assuming that the total number of equipment that needs a certain spare part is , No. The number of spare parts required by a piece of equipment during the production cycle is (i.e. equipment The total number of spare parts required for this spare part in this production cycle is:

[0072] .

[0073] Step 2: The number of equipment replacements is a count data. Poisson regression is suitable for predicting the number of events that occur within a certain period of time, assuming that the probability of the event is uniform and the variance is close to the mean. Poisson regression models usually use a logarithmic link function to express the expected number of replacements as a function of the planned operating time. At the same time, the age of use is added as an additional feature in the Poisson regression model to better capture the impact of equipment aging on the frequency of spare parts replacement. For a certain production cycle, the number of equipment The number of spare parts required is as follows:

[0074] ;

[0075] in, For equipment Total number of spare parts required; For equipment The planned running time of For equipment The useful life of is a constant term, which indicates the initial number of spare parts in the inventory before the production cycle begins. , , are weight coefficients. The quadratic term of service life indicates that the aging process of the equipment may be accelerated. For example, the equipment ages slowly in the early stage, but as the service life increases, the degree of wear may accelerate, resulting in an increase in the number of spare parts replacements. The historical data of spare parts replacement for a certain equipment can be obtained from the repair module and the maintenance module. The weight coefficient can be obtained by training the Poisson regression model using historical data , , The data structure is as follows:

[0076] Number of spare parts requests Planned running time (hours) Equipment service life (years) 5 168 4 8 336 4 6 168 10 20 336 10 ... ... ...

[0077] Use mean square error (MSE) or mean absolute error (MAE) to evaluate the prediction error. Use Deviance or Pearson's Chi-square to measure how well the model fits the actual data. , , , .

[0078] Step 3: When the total number of spare parts demand is obtained, a hybrid strategy combining classification management and dynamic safety stock is adopted. Assuming that the demand for spare parts conforms to the Poisson distribution, when the total number of spare parts demand is large (generally greater than 20), it is close to the normal distribution. Therefore, when the total number of spare parts demand is less than or equal to 20, the first safety stock is calculated based on the out-of-stock rate, and the formula is as follows:

[0079] ;

[0080] in, is the out-of-stock rate, which is related to the importance of spare parts; It is the first safety stock; The total number of spare parts required in the preset production cycle. The higher the importance of the spare parts, the smaller the out-of-stock rate.

[0081] When the total number of spare parts requirements is greater than 20, the second safety stock is calculated using the service level based on normal distribution, as follows:

[0082] ;

[0083] in, It is the second safety stock; is the standard deviation multiple corresponding to the selected service level, which is related to the importance of the spare part; is the standard deviation of demand during the production cycle; , The total number of spare parts required in the preset production cycle; The higher the importance of the spare parts, the greater the service level.

[0084] Based on the VED classification method, items are divided into three categories according to their importance: Vital, Essential and Desirable. The following is the method of setting safety stock for different categories of spare parts:

[0085] Vital: It is essential to production or operation. Out of stock will lead to significant losses. It is recommended to set a higher safety stock. That is, when the total number of spare parts demand is less than or equal to 20, the out of stock rate is set to 5%. When the average demand in the production cycle is greater than 20, the service level is set to 95%, corresponding to The value is 1.65. Therefore, when the demand within 7 days is 20, the mean is 2.85, and the safety stock within 7 days should be set to When the demand in 7 days is 150 and the mean is 21.4, the safety stock in 7 days should be set to (Round up).

[0086] Essential: Necessary for operation, but not as critical as important materials. A medium safety stock can be set. When the total number of spare parts required is less than or equal to 20, the out-of-stock rate is set to 10%. When the average demand in the production cycle is greater than 20, the service level is set to 90%, corresponding to The value is 1.28. Therefore, when the demand within 7 days is 20, the mean is 2.85, and the safety stock within 7 days should be set to When the demand in 7 days is 150, the safety stock in 7 days should be set to (Round up).

[0087] Desirable: Although it helps improve efficiency, the stockout does not directly affect operations. Do not consider safety stock and rely solely on on-demand ordering.

[0088] Example 2

[0089] An embodiment of the present invention provides a spare parts safety inventory management device, including:

[0090] A total number of spare parts demand calculation module is used to calculate the total number of spare parts demand for a certain spare part on a certain equipment within a production cycle based on a pre-built spare parts demand model, wherein the spare parts demand model is related to the planned operating time and service life of the equipment and conforms to the Poisson distribution;

[0091] A first safety stock calculation module, used for calculating a first safety stock based on a service level of a normal distribution and the total number of spare parts demands when the total number of spare parts demands is greater than a set threshold;

[0092] The second safety stock calculation module is used to calculate the second safety stock based on the out-of-stock rate and the total number of spare parts requirements when the total number of spare parts requirements is less than or equal to a set threshold.

[0093] The rest are the same as in Example 1.

[0094] Example 3

[0095] In an embodiment of the present invention, a spare parts safety inventory management device is provided. Figure 2 As shown, including:

[0096] Production planning module, used to obtain the operation data and attribute data of all equipment involved in the historical production cycle;

[0097] Maintenance module, used to obtain spare parts data generated during historical maintenance processes;

[0098] Maintenance module, used to obtain spare parts data generated during historical maintenance processes;

[0099] A spare parts demand model building module, used to generate a spare parts demand model based on the historical data of the production planning module, the repair module and the maintenance module;

[0100] The spare parts management module is connected to the production planning module and the spare parts demand model building module respectively, and is configured to execute any one of the methods described in the first aspect.

[0101] In the specific implementation process, the primary task of the production planning module is to generate a detailed operation schedule, namely the production operation plan, based on the production goals (including time and output requirements), taking into account the availability of personnel, equipment, materials and various interruption factors that may be encountered during the production process.

[0102] The maintenance module is mainly used to manage the reporting and maintenance process of equipment failures. When the person reporting the repair submits a repair work order, the maintenance personnel will record the key information of the maintenance process based on the actual maintenance situation, including the start and end time of the maintenance, the cause of the failure, the maintenance method to solve the failure, and the spare parts replaced during the maintenance process. The module can also generate spare parts usage reports to provide data support for spare parts management and maintenance decisions.

[0103] The module is mainly responsible for the maintenance and maintenance management of the equipment to ensure the efficient and stable operation of the equipment. This module includes functions such as daily inspection, regular maintenance, fault repair and equipment status monitoring. Through preventive maintenance planning and fault management, the maintenance module can promptly detect and handle equipment problems, and replace spare parts during the maintenance process, which helps to reduce unplanned downtime and extend the service life of the equipment. At the same time, the maintenance module records the historical data of equipment maintenance to provide support for the optimization decision of equipment and spare parts management.

[0104] The spare parts management module is mainly responsible for the full-process management of spare parts to ensure sufficient supply of spare parts required for equipment repair and maintenance. The current spare parts module includes the following functions: spare parts information management, which is used to record and maintain the basic information of spare parts; spare parts inventory management, which tracks the inventory status of spare parts in real time; spare parts collection, which supports maintenance personnel to collect spare parts on demand; spare parts purchase and procurement functions, which are used to replenish inventory and meet special spare parts needs. Through these functions, the spare parts module can effectively support the continuity of maintenance work and the optimization of inventory costs. A safety stock will be set for each spare part in the spare parts information so that warehouse managers can always pay attention to the inventory status.

[0105] Example 4

[0106] An embodiment of the present invention provides a spare parts safety inventory management system, including a storage medium and a processor;

[0107] The storage medium is used to store instructions;

[0108] The processor is configured to operate according to the instructions to execute the method according to any one of the embodiments 1.

[0109] In summary, the present invention can improve the accuracy of the forecast of the demand for a certain spare part of a certain equipment during the production cycle. By combining the equipment operation time with the equipment service life, the demand for a certain spare part during the production cycle can be more accurately predicted. This innovative method can identify the performance changes of the equipment at different stages, thereby improving the accuracy of the forecast.

[0110] The present invention can dynamically arrange the safety stock within the production planning cycle for each spare part. By classifying spare parts, the inventory management efficiency within the production planning cycle is effectively improved. Different safety stock strategies are formulated for different categories of spare parts, such as important spare parts, necessary spare parts and removable spare parts, to ensure the timely supply of key spare parts and reduce the risk of equipment downtime. In addition, classification management makes the inventory level more scientific, reduces the phenomenon of excess and out-of-stock, optimizes capital occupation, and reduces operating costs.

[0111] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0112] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0113] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0114] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0115] The embodiments of the present invention are described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the enlightenment of the present invention, ordinary technicians in this field can also make many forms without departing from the scope of protection of the purpose of the present invention and the claims, which all fall within the protection of the present invention.

[0116] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A spare parts safety inventory management method, characterized in that: include: Based on a pre-built spare parts demand model, the total number of spare parts demand for a certain spare part on a certain equipment during the production cycle is calculated. The spare parts demand model is related to the planned operating time and service life of the equipment and conforms to the Poisson distribution; When the total number of spare parts requirements meets the set threshold, the corresponding safety stock is calculated based on the preset safety stock calculation strategy in combination with the spare parts level classification results.

2. A spare parts safety inventory management method according to claim 1, characterized in that: The mathematical expression of the spare parts demand model is: ； ； in, For equipment Total number of spare parts required; For equipment The planned running time of For equipment The useful life of is a constant term, which indicates the initial number of spare parts in the inventory before the production cycle begins. , , All are weight coefficients; is the total number of spare parts required in the preset production cycle, is the total number of devices.

3. A spare parts safety inventory management method according to claim 1, characterized in that: When the total number of spare parts requirements meets the set conditions, the corresponding safety stock is calculated based on the preset safety stock calculation strategy in combination with the spare parts level classification result, including: When the total number of spare parts requirements is greater than a set threshold, the first safety stock is calculated based on the service level and the total number of spare parts requirements of the normal distribution; When the total number of spare parts requirements is less than or equal to the set threshold, the second safety stock is calculated based on the out-of-stock rate and the total number of spare parts requirements.

4. A spare parts safety inventory management method according to claim 3, characterized in that: When the total number of spare parts demand is greater than the set threshold, the calculation formula of the first safety stock is: ； in, is the out-of-stock rate, which is related to the importance of spare parts; As the first safety stock, The total number of spare parts required in the preset production cycle.

5. A spare parts safety inventory management method according to claim 4, characterized in that: The higher the importance of the spare parts, the smaller the out-of-stock rate.

6. A spare parts safety inventory management method according to claim 3, characterized in that: When the total number of spare parts demand is less than or equal to the set threshold, the calculation formula of the second safety stock is: ； in, It is the second safety stock; is the standard deviation multiple corresponding to the selected service level, which is related to the importance of the spare part; is the standard deviation of demand during the production cycle; , The total number of spare parts required in the preset production cycle; For the production cycle.

7. A spare parts safety inventory management method according to claim 6, characterized in that: The higher the importance of the spare part, the higher the service level value.

8. A spare parts safety inventory management device, characterized in that: include: A total number of spare parts demand calculation module is used to calculate the total number of spare parts demand for a certain spare part on a certain equipment within a production cycle based on a pre-built spare parts demand model, wherein the spare parts demand model is related to the planned operating time and service life of the equipment and conforms to the Poisson distribution; A first safety stock calculation module, used for calculating a first safety stock based on a service level of a normal distribution and the total number of spare parts demands when the total number of spare parts demands is greater than a set threshold; The second safety stock calculation module is used to calculate the second safety stock based on the out-of-stock rate and the total number of spare parts requirements when the total number of spare parts requirements is less than or equal to a set threshold.

9. A spare parts safety inventory management device, characterized in that: include: Production planning module, used to obtain the operation data and attribute data of all equipment involved in the historical production cycle; Maintenance module, used to obtain spare parts data generated during historical maintenance processes; Maintenance module, used to obtain spare parts data generated during historical maintenance processes; A spare parts demand model building module, used to generate a spare parts demand model based on the historical data of the production planning module, the repair module and the maintenance module; The spare parts management module is connected to the production planning module and the spare parts demand model building module respectively, and is configured to execute the method according to any one of claims 1 to 7.

10. A spare parts safety inventory management system, characterized in that: including storage media and processors; The storage medium is used to store instructions; The processor is configured to operate according to the instructions to perform the method according to any one of claims 1-7.

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