JP6894414B2 - Inventory management support system and method - Google Patents

Description

The present invention relates to an inventory management support system and method, and is suitable for application to, for example, an inventory management support device that supports inventory management of elevator parts.

Elevators are highly public products that support social infrastructure. Therefore, when a failure occurs in the elevator, it is required to restore the elevator as soon as possible by replacing the failed parts. Therefore, a business operator who maintains the elevator (hereinafter referred to as a maintenance business operator) prepares for a situation such as a trouble by storing a certain amount of each part of the elevator.

At this time, if the number of parts stockpiled by the maintenance company is excessive, the parts become stagnant products, which leads to deterioration of the profit of the maintenance business. On the other hand, if the inventory is insufficient, parts cannot be replaced and the elevator stopped due to trouble cannot be restored. Therefore, the maintenance company will try to balance the shortage and business profit by stockpiling the minimum parts that can handle the trouble, but specifically, how much inventory should be held for each part? It is not easy to judge whether it is good or not.

As a method of managing such an appropriate inventory amount of parts, for example, in Patent Document 1, a failure occurrence cycle leading to a failure is calculated based on a past failure record and device operation information. , How to plan inventory quantity is disclosed.

Japanese Unexamined Patent Publication No. 2003-257808

Elevators may be installed not only indoors but also outdoors, and have a wide range of uses such as condominiums, train stations, and distribution facilities. Furthermore, there are variations in the load of each elevator due to variations in installation accuracy, and variations in the life of the parts themselves. Therefore, even if the elevator uses the same model and the same parts, the time when the failure of each part occurs varies depending on the elevator.

Therefore, the elevator maintenance company considers such variations in each elevator in the inventory plan of each part, for example, a failure occurrence cycle with 95% reliability (elevators of the same model have a 5% probability of failure). We try to prevent the occurrence of shortages by setting a high safety factor, such as by adopting the cycle of occurrence) and preparing inventory.

However, in the inventory plan based on the failure occurrence cycle calculated from the past failures, the inventory plan is made with a uniform reliability on the safety side such as 95% reliability in order to prevent shortages without considering the importance of each part. There was no choice but to have surplus inventory as a result, or to rely on the know-how of engineers who manage inventory such as past experience, and there was a problem that it was difficult to determine an appropriate inventory amount.

The present invention has been made in consideration of the above points, and an object of the present invention is to propose an inventory management support system and a method capable of supporting inventory management so that the inventory amount of each part type can be optimized.

In order to solve such a problem, in the present invention, in the inventory management support system that supports the inventory management of the parts of the predetermined device to be stored for the maintenance of the predetermined device, each measurement data regarding the deterioration factor for each of the parts to be stored The component has an inventory management support device that determines the inventory amount of each component type of the component based on the operation status, failure history, and replacement history of each component of the predetermined device. For each type, the rank of the degree of influence on the operation of the predetermined device when a failure occurs in the part of the part type is set in advance, and for each rank, the part of the corresponding part type is assigned. The reliability for calculating the failure occurrence cycle, which is the cycle in which the failure occurs, is set in advance, and the inventory management support device is used for each of the component types based on the measurement data and the operation information. Based on the failure occurrence cycle calculation unit that calculates the failure occurrence cycle with the reliability according to the rank of the influence degree and the measurement data representing the current state of each of the parts, the said device of each of the predetermined devices. A failure occurs for each component of the predetermined device based on the replacement necessity determination unit that determines the necessity of replacement for each component and the failure occurrence cycle for each component type calculated by the failure occurrence cycle calculation unit. The inventory planning calculation unit is provided to predict the time when the above-mentioned occurrence occurs, and to determine the inventory amount for each part type based on the prediction result and the determination result of the replacement necessity determination unit.

Further, the present invention is an inventory management support method executed in an inventory management support system that supports inventory management of parts of the predetermined device to be stored for maintenance of the predetermined device, and the inventory management support system is a storage. Based on each measurement data regarding the deterioration factor for each of the target parts and the operation information regarding the operation status, failure history, and replacement history of each of the predetermined devices, the inventory amount of the parts for each part type is set. It has an inventory management support device to be determined, and for each of the component types, the rank of the degree of influence on the operation of the predetermined device when a failure occurs in the component of the component type is set in advance, and the rank is set. For each, the reliability in calculating the failure occurrence cycle, which is the cycle in which the failure occurs in the component of the corresponding component type, is set in advance, and the inventory management support device is based on the measurement data and the operation information. The first step of calculating the failure occurrence cycle with the reliability corresponding to the rank of the influence degree of the component type for each component type, and the component calculated by the inventory management support device. Based on the failure occurrence cycle for each type, the time when a failure occurs for each component of the predetermined device is predicted, and each predetermined device is based on the measurement data representing the current state of each component. The necessity of replacement for each of the parts of the device is determined, and the predicted timing of the failure of each of the parts of the predetermined device and the determination result of the necessity of replacement of each of the parts of the predetermined device are obtained. Based on the above, a second step of determining the inventory amount for each part type is provided.

According to the inventory management support system and method of the present invention, the inventory amount of each part type can be determined to be an appropriate amount according to the degree of influence on the operation of a predetermined device when a failure occurs in the part. ..

According to the present invention, it is possible to realize an inventory management support system and a method capable of supporting inventory management so that the inventory amount of each component type can be optimized.

It is a block diagram which shows the hardware configuration of the inventory management support system by this embodiment. It is a block diagram which shows the logical structure of the inventory management support system by this embodiment. (A) is a chart showing a configuration example of a measurement data database, and (B) is a chart used for explaining measurement items of each component. It is a figure which shows the configuration example of the operation information database. It is a chart which shows the structural example of the influence degree rank table. It is a chart which shows the composition example of the inventory planning table. It is a figure which shows the structural example of the exchange necessity judgment threshold table. It is a flowchart which shows the processing procedure of the failure occurrence cycle calculation processing. It is a chart which shows the composition example of the summary table of the number of failures for each failure time. It is a flowchart which shows the processing procedure of the inventory plan calculation process. It is a flowchart which shows the processing procedure of the exchange necessity determination processing. (A) and (B) are graphs used for explaining the failure occurrence cycle calculation process. It is a flowchart which shows the processing procedure of the part replacement quality judgment process. (A) to (C) are graphs used for explaining the parts replacement quality determination process.

Hereinafter, one embodiment of the present invention will be described in detail with reference to the drawings.

(1) Configuration of Inventory Management Support System According to the Present Embodiment FIG. 1 shows a hardware configuration of the inventory management support system 1 according to the present embodiment. The inventory management support system 1 is a system that supports inventory management of parts of the elevator 2.

The inventory management support system 1 includes a remote monitoring device 3, a measurement data management server 4, an operation information management server 5, a communication terminal 6, and an inventory management support device 7, which are connected to each other via a network 8 such as the Internet. It is composed of.

The remote monitoring device 3 is a communication terminal device arranged at the installation location of the elevator 2 to be monitored. The measurement data management server 4 and the operation information management server 5 are composed of general-purpose server devices. The communication terminal 6 is composed of, for example, a portable communication terminal device such as a smartphone or a tablet, and the maintenance worker 9 performs information on the replacement record of parts of the elevator 2 and the failure that occurred at that time at a maintenance site or the like (hereinafter, this). Is called parts replacement record / failure information).

The inventory management support device 7 is a computer device that executes various arithmetic processes for supporting the inventory management of each component of the elevator 2, and includes information processing resources such as a CPU (Central Processing Unit) 10 and a memory 11 and an input device. It is configured to include a 12 and a display device 13.

The CPU 10 is a processor that controls the operation of the entire inventory management support device. Further, the memory 11 is composed of, for example, a semiconductor memory and is used as a work memory of the CPU 10. In the case of the present embodiment, the memory 11 contains the failure occurrence cycle calculation program 14, the inventory planning calculation program 15, the replacement necessity determination program 16, the influence degree rank table 17, the inventory planning table 18, and the replacement necessity determination threshold table 19. Is stored. Details of these will be described later.

The input device 12 is composed of a mouse, a keyboard, and the like, and is used for the user to operate the inventory management support device 7. Further, the display device is composed of, for example, a liquid crystal display or an organic EL (Electro Luminescence) display, and is used for displaying necessary information.

FIG. 2 shows the logical configuration of the inventory management support system 1. In FIG. 2, the arrow indicated by the solid line indicates the flow of data and commands at the time of creating the inventory plan, and the arrow indicated by the broken line indicates the data after the parts of the elevator 2 have been replaced by the maintenance worker 9. The command flow is shown.

The remote monitoring device 3 is installed corresponding to each elevator 2, and measurement data regarding deterioration factors of each component measured by a sensor or the like attached to the corresponding elevator 2 is periodically (from the control panel 2A of the elevator 2). For example, it is acquired every few minutes to several hours), and the acquired measurement data is transmitted to the measurement data management server 4. Further, the remote monitoring device 3 acquires operation information such as the operation time of the entire elevator 2 and necessary parts from the control panel 2A at the same cycle as the measurement data, and transmits these acquired operation information to the operation information management server 5. To do.

The measurement data management server 4 registers and manages measurement data related to deterioration factors of each component transmitted from the remote monitoring device 3 in the measurement data database 20 described later with reference to FIG. 3A. Further, the operation information management server 5 registers the operation information transmitted from the remote monitoring device 3 and the above-mentioned parts replacement record / failure information transmitted from the communication terminal 6 in the operation information database 21 which will be described later with reference to FIG. And manage it.

The inventory management support device 7 includes a failure occurrence cycle calculation unit 22, an inventory planning calculation unit 23, and a replacement necessity determination unit 24. The failure occurrence cycle calculation unit 22 has a function realized by the CPU 10 (FIG. 1) of the inventory management support device 7 executing the failure occurrence cycle calculation program 14 (FIG. 1) stored in the memory 11 (FIG. 1). It is a department.

The failure occurrence cycle calculation unit 22 calculates the failure occurrence cycle for each part type of the elevator 2 (hereinafter, this is referred to as a failure occurrence cycle) by using the parts replacement record / failure information stored in the operation information database 21. Has the function of In this case, the failure occurrence cycle calculation unit 22 refers to the influence degree rank table 17 described later with respect to FIG. 4, and the degree to which the operation of the elevator 2 is hindered when a component of the component type fails (hereinafter, this is referred to as this). The failure occurrence cycle of each part is calculated in consideration of the degree of influence at the time of failure).

The inventory plan calculation unit 23 is a functional unit embodied by the CPU 10 of the inventory management support device 7 executing the inventory plan calculation program 15 (FIG. 1) stored in the memory 11. The inventory planning calculation unit 23 uses the failure occurrence cycle for each part type calculated by the failure occurrence cycle calculation unit 22 and the operation information of each part of each elevator 2 stored in the operation information database 21 to be used for each elevator. The year and month when the failure of each of the two parts is predicted to occur (hereinafter, this is referred to as the failure occurrence prediction year and month) is calculated, and the calculation result is stored in the inventory planning table 18. Further, the inventory planning calculation unit 23 determines the necessity of inventory for each part of each elevator 2 in the next fiscal year based on the calculation result, and stores the determination result in the inventory planning table 18.

The replacement necessity determination unit 24 is a functional unit embodied by executing the replacement necessity determination program 16 (FIG. 1) stored in the memory 11 by the CPU 10 of the inventory management support device 7. The replacement necessity determination unit 24 is based on the measurement data accumulated in the measurement data database 20 and the threshold value of the measurement data for each component registered in advance in the replacement necessity determination threshold table 19 which will be described later with respect to FIG. Each part of the elevator 2 has a function of determining the necessity of replacement from the current state. Further, the replacement necessity determination unit 24 registers the inventory amount of the parts of each part type in the inventory plan table 18 based on the determination result, or causes the inventory plan calculation unit 23 to change the registered inventory amount. Give instructions.

FIG. 3A shows a configuration example of the measurement data database 20 managed by the measurement data management server 4 (FIG. 2). As shown in FIG. 3A, the measurement data database 20 includes a serial number column 20A and a plurality of measurement value columns 20B provided corresponding to each component of the elevator 2. In the measurement data database 20, one row corresponds to one elevator 2 to be managed.

Then, the serial number of the corresponding elevator 2 is stored in the serial number column 20A. Further, in the case of the present embodiment, as shown in FIG. 3B, the deterioration factor is defined as a measurement item for each part type, for example, the elongation rate of the belt. Then, in the measurement value column 20B, the measurement values related to these measurement items measured by the sensor installed in the elevator 2 and transmitted as measurement data from the remote monitoring device 3 are stored and accumulated in time series.

FIG. 4 shows a configuration example of the operation information database 21. As shown in FIG. 4, the operation information database 21 includes a serial number column 21A, a product model column 21B, a delivery date column 21C, and a plurality of component columns 21D provided corresponding to each component of the elevator 2. Is configured with. In the operation information database 21, one row corresponds to one elevator 2 to be managed.

The serial number column 21A stores the serial number of the corresponding elevator 2, and the product model column 21B stores the model of the elevator 2. Further, in the delivery date column 21C, the date when the elevator 2 was delivered to the installation location is stored.

Each part column 21D is composed of a model column 21DA, an installation date column 21DB, a replacement date column 21DC, a cumulative operating time column 21DD, a monthly operating time column 21DE, and a failure history column 21DF. The model column 21DA stores the model of the corresponding component, and the installation date column 21DB stores the date (installation date) when the component was installed in the corresponding elevator 2.

Further, in the replacement date column 21DC, when the corresponding part is replaced, the date (replacement date) entered by the maintenance worker 9 (FIG. 2) into the communication terminal 6 (FIG. 6) at the work site or the like is performed. ) Is stored. In this case, when the part has been replaced multiple times, all the replacement dates are stored in the replacement date column in chronological order.

Similarly, in the failure history column 21DF, when a failure occurs in the corresponding component, the date (failure date) at which the failure occurred, which is input to the communication terminal 6 by the maintenance worker 9 at the work site or the like, is stored. .. In this case, when the component has a failure multiple times, all the dates on which the failure occurred are stored in the failure history column 21DF in chronological order.

In the cumulative operating time column 21DD, the cumulative operating time (cumulative operating time) of the corresponding component calculated based on the information acquired by the operation information management server 5 from the remote monitoring device 3 is stored. Further, in the monthly operating time column 21DE, the average monthly operating time (monthly operating time) of the corresponding component calculated based on the information acquired by the operation information management server 5 from the remote monitoring device 3 is also stored. ..

Therefore, in the case of the example of FIG. 4, the elevator 2 having the serial number "00001" has the product model "A01" and the delivery date "2013/4", and the "part 1" used in the elevator 2 is used. The model of the part with the part name (part type) is "MC001", the installation date is "2013/4", the cumulative operating time is "1440h", the monthly operating time is "40h", and "2015/6/29" ”(Failure history column 21DF), and the replacement was performed on that day (replacement date column 21DC).

On the other hand, FIG. 5 shows a configuration example of the influence degree rank table 17 managed by the failure occurrence cycle calculation unit 22 (FIG. 2). The influence degree rank table 17 manages the degree of influence on the operation of the elevator 2 (hereinafter, referred to as the degree of influence at the time of failure) and the like when a failure occurs in a part of the part type of the elevator 2 for each part type. It is a table for the user and is set in advance by the user.

As shown in FIG. 5, the impact rank table 17 includes a part name column 17A, a model column 17B, a failure impact degree column 17C, a failure frequency column 17D, a component cost column 17E, a component delivery period column 17F, and a failure occurrence cycle calculation. It is configured with a time reliability column 17G. In the impact rank table 17, one row corresponds to one part type.

The part name column 17A stores the name (part name) of the corresponding component type of the elevator 2, and the model column 17B stores the model of the corresponding component type. Further, in the failure impact degree column 17C, the failure impact degree determined by the user for the component of the corresponding component type is stored. In the case of the present embodiment, three ranks of "A", "B", and "C" are defined as the degree of influence at the time of failure, and when a failure occurs, the operation of the elevator 2 is most affected. The rank of the impact of failure of the part type is "A", the rank of the impact of failure of the part type that has the next largest impact is "B", and the rank of the impact of failure of the part type that has the least impact is "A". It is set to "C" respectively.

In the failure frequency column 17D, the frequency at which a failure occurs in a component of the corresponding component type (hereinafter, this is referred to as a failure frequency) is stored. In the case of this embodiment, the failure frequency of the component type that is likely to fail is set to "high", the failure frequency of the component type that is likely to fail next is set to "medium", and the failure frequency of the component type that is difficult to fail is set to "low". Will be done.

Further, in the component cost column 17E, the cost of procurement and replacement work of the component of the corresponding component type is stored. In the case of this embodiment, the cost of the part in the highest price range is set to "high", the cost of the part in the next highest price range is set to "medium", and the cost of the part in the lowest price range is set to "low". ..

The parts delivery period column 17F stores the period from when the parts of the corresponding parts type are ordered from the manufacturing company to when they are delivered to the maintenance company. Further, the reliability column 17G at the time of calculating the failure occurrence cycle stores the reliability to be used as a reference when calculating the failure occurrence cycle. For example, in the case of a reliability of "95%", a cycle in which a failure occurs in a component of 5% (failure occurrence cycle) is stored.

Therefore, in the case of the example of FIG. 5, the part of the part type "part 1" has the model "B01", the rank of the degree of influence at the time of failure is set to "A", and the failure frequency is "low". It is shown that the component cost is "high", the delivery takes "3 months", and the reliability in calculating the failure occurrence cycle is "95%".

On the other hand, FIG. 6 shows a configuration example of the inventory planning table 18 managed by the inventory planning calculation unit 23 (FIG. 2). In the inventory planning table 18, when a failure occurs for each part of each elevator 2 calculated by the inventory planning calculation unit 23 based on the failure occurrence cycle for each part of each elevator 2 calculated by the failure occurrence cycle calculation unit 22. This table is used to manage the predicted dates (hereinafter referred to as failure prediction dates).

As shown in FIG. 6, the inventory planning table 18 includes a serial number column 18A and a plurality of component columns 18B provided corresponding to each component of the elevator 2. In the inventory planning table 18, one row corresponds to one elevator 2. The serial number column 18A stores the serial number of the corresponding elevator 2.

Further, each part column 18B is composed of a failure occurrence prediction date column 18BA, an inventory necessity column 18BB, and an inventory quantity column 18BC for the next fiscal year, respectively. Then, in the failure occurrence prediction date column 18BA, the failure occurrence prediction date of the corresponding component calculated by the inventory planning calculation unit 23 is stored.

Further, in the inventory necessity column 18BB, the determination result of the necessity of inventory of the part in the corresponding elevator 2 for the next fiscal year is stored. This necessity determination is performed based on the failure occurrence prediction date of the part calculated by the inventory planning calculation unit 23. For example, if the predicted failure date is in the next fiscal year, the inventory of the part in the next fiscal year is determined to be "necessary", and if the predicted failure occurrence date is not in the next fiscal year, the inventory of the part in the next fiscal year is It is determined to be "unnecessary".

Further, in the next year's inventory amount column 18BC, the next year's inventory amount of the parts of the corresponding parts type planned by a series of processes described later with respect to FIGS. 8 to 12 is stored.

Therefore, in the case of the example of FIG. 6, for the part of the elevator 2 whose serial number is "00001" and which is the part type "Part 1", the failure occurrence prediction date is "2021/2". It has been shown that inventory is "unnecessary" next year. Further, in FIG. 6, the inventory amount of the parts of the part type (“part 1”) in the next fiscal year is “32” based on the determination result of the necessity of inventory of the parts of the part type “part 1” of each elevator 2. It is shown that it was planned individually.

FIG. 7 shows a configuration example of the replacement necessity determination threshold table 19 managed by the replacement necessity determination unit 24 (FIG. 2). The replacement necessity determination threshold table 19 is a threshold value set in advance for the measurement item of each component type or a value calculated based on the measurement value (hereinafter, this is referred to as a replacement necessity determination threshold value). It is a table used to manage. It should be noted that this replacement necessity judgment threshold value requires that the part be replaced within one year when the corresponding measured value or the value calculated based on the measured value exceeds the replacement necessity judgment threshold value. It is a value considered to be, and is set in advance by the user.

As shown in FIG. 7, the replacement necessity determination threshold table 19 includes a part name column 19A, a measurement item column 19B, and a replacement necessity determination threshold column 19C. In the replacement necessity determination threshold table 19, one row corresponds to one component.

Then, the name (part name) of the corresponding part type is stored in the part name column 19A, and the measurement item defined for the part of the part type is stored in the measurement item column 19B. Further, in the replacement necessity determination threshold value 19C, a replacement necessity determination threshold value preset for the corresponding measurement item of the component of the corresponding component type is stored.

Therefore, in the case of the example of FIG. 7, for example, for the part of the part type "part A", the replacement necessity determination threshold value of the "elongation rate" is "5%", and for the part of the part type "part B". , It is shown that the replacement necessity determination threshold value of "dimension change amount" is set to "15 mm".

(2) Processing of each functional unit of the inventory management support device (2-1) Processing of the failure occurrence cycle calculation unit FIG. 8 is related to, for example, the processing of determining the inventory amount of parts of each part type in the next fiscal year. The flow of the failure occurrence cycle calculation process executed by the failure occurrence cycle calculation unit 22 at the timing of formulating the inventory plan (hereinafter, once a year) is shown. The failure occurrence cycle calculation unit 22 calculates the failure occurrence cycle for each component type of each component used in the elevator 2 according to the processing procedure shown in FIG.

Practically, the failure occurrence cycle calculation unit 22 starts this failure occurrence cycle calculation process according to a predetermined operation of the user, and first, first, the component type of the parts of the elevator 2 registered in the operation information database 21 (FIG. 4). Select one unprocessed part type from the list (S1).

Subsequently, the failure occurrence cycle calculation unit 22 refers to the operation information database 21 (FIG. 4), and refers to the failure time and failure for the component of the component type selected in step S1 (hereinafter, this is referred to as the selected component type). Acquire the relationship with the number of cases (S2).

により各昇降機２の選択部品種別の部品の故障時間をそれぞれ算出する。そして故障発生周期演算部２２は、この算出結果に基づいて、図９に示すような集計表を作成する。 Specifically, the failure occurrence cycle calculation unit 22 reads out the failure date, the installation date, and the monthly operating time of the parts of the selected parts type of each elevator 2 from the operation information database 21, respectively, and based on these information read out. , The following formula

The failure time of the parts of the selected parts type of each elevator 2 is calculated by the above method. Then, the failure occurrence cycle calculation unit 22 creates a tabulation table as shown in FIG. 9 based on the calculation result.

Subsequently, the failure occurrence cycle calculation unit 22 performs Weibull analysis using the tabulation table created in step S2, and calculates the shape parameter m and the scale parameter η of the component of the selected component type, respectively (S3). Further, the failure occurrence cycle calculation unit 22 determines whether or not the calculated value of the shape parameter m of the component of the selected component type is larger than a predetermined threshold value (“1” in the present embodiment) (S4). ).

Then, when the failure occurrence cycle calculation unit 22 obtains an affirmative result in this determination, it determines that the component of the selected component type is a component of the type in which a failure occurs due to wear, and the influence degree rank table 17 (FIG. FIG. With reference to 5), it is determined whether or not the rank of the degree of influence at the time of failure set for the component of the selected component type is “A” (S5).

で与えられる一般的なワイブル分析で用いる信頼度計算式を用いて、例えば次式

により、95％信頼度で選択部品種別の部品に故障が発生する周期（故障発生周期）を算出し（Ｓ６）、この後、ステップＳ１１に進む。 When the failure occurrence cycle calculation unit 22 obtains a positive result in this determination, the following equation is obtained.

Using the reliability calculation formula used in the general Weibull analysis given in, for example,

Therefore, a cycle in which a failure occurs in a component of the selected component type (failure occurrence cycle) is calculated with 95% reliability (S6), and then the process proceeds to step S11.

により、90％信頼度で選択部品種別の部品に故障が発生する周期（故障発生周期）を算出し（Ｓ８）、この後、ステップＳ１１に進む。 On the other hand, when the failure occurrence cycle calculation unit 22 obtains a negative result in the judgment of step S6, the following equation is obtained.

Therefore, a cycle in which a failure occurs in a component of the selected component type (failure occurrence cycle) is calculated with 90% reliability (S8), and then the process proceeds to step S11.

On the other hand, when the failure occurrence cycle calculation unit 22 obtains a negative result in the determination in step S4, the failure of the component of the selected component type occurs accidentally, and it is difficult to predict the occurrence cycle. to decide. Then, the failure occurrence cycle calculation unit 22 refers to the influence degree rank table 17 and determines whether or not the failure degree influence degree rank set for the component of the selected component type is “A” (). S8).

Then, when the failure occurrence cycle calculation unit 22 obtains an affirmative result in this determination, the number of parts in the selected part type for the next fiscal year is increased from the current fiscal year (1.2 times that of the current fiscal year in the present embodiment). (S9), and then the process proceeds to step S11.

On the other hand, when the failure occurrence cycle calculation unit 22 obtains a negative result in the determination in step S8, the failure occurrence cycle calculation unit 22 determines the inventory amount of the parts of the selected part type for the next fiscal year to be the same as the current year (S10). After that, the process proceeds to step S11.

After that, the failure occurrence cycle calculation unit 22 determines whether or not the processes of step S2 and subsequent steps have been executed for all the component types registered in the operation information database 21 (S11). Then, when the failure occurrence cycle calculation unit 22 obtains a negative result in this determination, the process returns to step S1, and then, while sequentially switching the component type selected in step S1 to another unprocessed component type, steps S1 to S11 Repeat the process of.

Then, when the failure occurrence cycle calculation unit 22 obtains an affirmative result in step S11 by completing the processing after step S2 for all the component types registered in the operation information database 21, the above processing results are stocked. It is transmitted to the planning calculation unit 23 (S12), and after that, the failure occurrence cycle calculation processing is terminated.

As described above, in the inventory management support system 1 of the present embodiment, a failure is taken into consideration for each part type in consideration of the degree of influence on the entire elevator 2 (degree of influence at the time of failure) when a failure occurs in a part of the part type. Calculate each occurrence cycle.

(2-2) Processing of Inventory Planning Calculation Unit FIG. 10 shows a processing result transmitted from the failure occurrence cycle calculation unit 22 in step S12 of the failure occurrence cycle calculation processing described above (hereinafter, this is referred to as a failure occurrence cycle calculation processing result). The content of the process (hereinafter, this is referred to as an inventory plan calculation process) executed by the inventory plan calculation unit 23 that has received the (call) is shown. The inventory planning calculation unit 23 predicts the failure occurrence prediction date for the parts of each part type for which the failure occurrence cycle is calculated by the above-mentioned failure occurrence cycle calculation process in each elevator 2 according to the processing procedure shown in FIG. To do.

In practice, when the inventory planning calculation unit 23 receives the processing result, it starts the inventory meter calculation processing shown in FIG. 10, and first, from the elevator 2 registered in the operation information database 21 (FIG. 4). Step S21 and subsequent steps select one unprocessed elevator 2 (S20).

Subsequently, the inventory planning calculation unit 23 selects one part from the parts registered in the operation information database 21 (FIG. 4) for the elevator (hereinafter, this is referred to as a selective elevator) 2 selected in step S20. (S21). Then, the inventory planning calculation unit 23 determines whether or not the failure occurrence cycle of the part type of the part (hereinafter, this is referred to as a selected part) is included in the failure occurrence cycle calculation processing result received at that time (S22). ).

Obtaining a negative result in this determination means that the selected component is a component type for which the inventory amount for the next fiscal year has been determined in step S9 or step S10 of the above-mentioned failure occurrence cycle calculation process. Thus, at this time, the inventory planning calculation unit 23 stores the next year's inventory amount of the part type included in the failure occurrence cycle calculation processing result in the corresponding next year's inventory amount column 18BC of the inventory planning table 18 (FIG. 6) ( S23), after that, the process proceeds to step S28.

It should be noted that the inventory amount for the next fiscal year determined by the failure occurrence cycle calculation unit 22 in this way is registered in the inventory planning table 18 only once for the parts of the same part type, and thereafter, the inventory planning calculation unit 23 If the selected parts have the same part type, the process proceeds through step S23 to step S28.

On the other hand, when the inventory planning calculation unit 23 obtains an affirmative result in step S22, the failure occurrence cycle of the selected component type included in the failure occurrence cycle calculation processing result received at that time and the operation information database 21 (FIG. 5). ), The year and month in which a failure is predicted to occur in the selected component (failure prediction date and month) are calculated based on the cumulative operating time and the monthly operating time of the selected component (S24).

により、その選択部品に故障が発生すると予測される時期までの月数を算出し、算出した月数を現在の月に加算することによりその選択部品の故障発生予測年月を算出する。 Specifically, the inventory planning calculation unit 23 has the following equation.

Therefore, the number of months until the time when a failure is predicted to occur in the selected part is calculated, and the calculated number of months is added to the current month to calculate the failure prediction date of the selected part.

Further, the inventory planning calculation unit 23 determines whether or not the failure occurrence prediction date calculated in step S24 is in the next fiscal year (S25). Then, when the inventory planning calculation unit 23 obtains a negative result in this determination, the failure occurrence prediction date of the selected part calculated at that time is set to the failure occurrence prediction date corresponding to the selected part in the inventory planning table 18 (FIG. 6). In addition to storing in column 18BA (FIG. 6), information indicating that inventory for the next fiscal year is "unnecessary" is stored in inventory necessity column 18BB (FIG. 6) corresponding to the selected part (S26). Then, the inventory planning calculation unit 23 proceeds to step S28 after this.

On the other hand, when the inventory planning calculation unit 23 obtains an affirmative result in the determination in step S25, the calculated failure occurrence prediction date of the selected component is set to the failure occurrence prediction date corresponding to the selected component in the inventory planning table 18. In addition to storing in the column 18BA, information indicating that the inventory for the next fiscal year is "necessary" is stored in the inventory necessity column 18BB corresponding to the selected part (S27). Then, the inventory planning calculation unit 23 proceeds to step S28 after this.

After that, the inventory planning calculation unit 23 determines whether or not the processing after step S22 has been executed for all the parts of the selective elevator 2 (S28). Then, when the inventory planning calculation unit 23 obtains a negative result in this determination, it returns to step S21, and after that, steps S21 to S28 while sequentially switching the parts selected in step S21 to other parts that have not been processed after step S22. Repeat the process of.

Further, when the inventory planning calculation unit 23 eventually obtains a positive result in step S28 by completing the processes after step S22 for all the parts of the selective elevator 2, all the elevators 2 registered in the operation information database 21 It is determined whether or not the processing after step S21 has been executed with respect to (S29).

Then, when the inventory planning calculation unit 23 obtains a negative result in this determination, it returns to step S20, and after that, the elevator 2 selected in step S20 is sequentially switched to another elevator 2 which has not been processed after step S21, and steps S20 to S20 to The process of step S29 is repeated.

Then, when the inventory planning calculation unit 23 eventually obtains an affirmative result in step S29 by completing the processing after step S21 for all the elevators 2 registered in the operation information database 21, the inventory planning calculation processing ends. To do.

(2-3) Processing of the replacement necessity determination unit FIG. 11 shows that the replacement necessity determination unit 24 (FIG. 2) periodically performs a cycle shorter than the failure occurrence cycle calculation process described above for FIG. 8 (for example, a one-month cycle). The processing content of the processing to be executed (hereinafter, this is referred to as replacement necessity determination processing) is shown.

According to the processing procedure shown in FIG. 11, the replacement necessity determination unit 24 determines the failure occurrence prediction date and the necessity of inventory for the next fiscal year in the inventory planning table 18 (in step S26 and step S27) of the inventory planning calculation process described above with respect to FIG. For each part type of each part registered in FIG. 6), the inventory amount for the next fiscal year is determined and registered in the inventory planning table 18, or the inventory quantity for the next fiscal year registered in the inventory planning table 18 is changed as necessary. ..

In practice, when the replacement necessity determination unit 24 starts the replacement necessity determination process shown in FIG. 11, first, steps S31 and subsequent steps from the elevator 2 registered in the operation information database 21 (FIG. 4) are unprocessed. One of the elevators 2 is selected (S30).

Further, the replacement necessity determination unit 24 selects one part that has not been processed in steps S32 and subsequent steps from the parts of the elevator (hereinafter, this is referred to as a target elevator) 2 selected in step S30 (S31), and the parts thereof. The latest measured values for the measurement items (hereinafter, referred to as target parts) are acquired from the measurement data database 20 (FIG. 3 (A)) (S32).

Subsequently, the replacement necessity determination unit 24 registers the measurement value acquired in step S32 or the value of the corresponding measurement item calculated based on the measurement value in the replacement necessity determination threshold table 19 (FIG. 7). It is determined whether or not the replacement necessity determination threshold value of the part is exceeded (S33).

Then, when the replacement necessity determination unit 24 confirms in step S33 that the latest value of the measurement item exceeds the replacement necessity determination threshold value, for example, as shown in FIG. 12 (A). Notifies the inventory planning calculation unit 23 that the target part needs to be replaced within the next fiscal year (S34).

Thus, the inventory planning calculation unit 23 that has received this notification confirms the value stored in the inventory necessity column 18BB (FIG. 6) corresponding to the target part of the inventory planning table 18 (FIG. 6), and confirms this value. If is "unnecessary", the information is rewritten to "necessary", and if such a value is "necessary", the value of the information is not rewritten and is left as it is.

When the inventory planning calculation unit 23 rewrites the value stored in the inventory necessity column 18BB corresponding to the target part of the inventory planning table 18 from "unnecessary" to "necessary", the following (A1). ) Or (A2) is also executed.

(A1) If the next year's inventory amount column 18BC (Fig. 6) corresponding to the same part name as the target part on the inventory planning table 18 does not store the next year's inventory amount, the part of the target part's part type (target) The number of parts (including parts) whose value stored in the inventory necessity column 18BB corresponding to the inventory planning table 18 is "necessary" is counted, and the count result (total number) is the part. It is stored in the corresponding next year's inventory amount column 18BC as the next year's inventory amount of the type.

(A2) If the next year's inventory amount is already stored in the next year's inventory amount column 18BC corresponding to the same part name as the target part on the inventory planning table 18, the next year's inventory amount column 18BC) is stored in the next year's inventory amount column 18BC). Increase the amount of stock by "1".

Further, when the inventory planning calculation unit 23 does not rewrite the value stored in the inventory necessity column 18BB corresponding to the target part of the inventory planning table 18 (the value originally stored in the inventory necessity column 18BB is ". If it is "necessary"), the following processing or correspondence of (B1) or (B2) is also executed.

(B1) When the inventory amount for the next fiscal year is not stored in the inventory amount column 18BC for the next fiscal year corresponding to the part type of the target part on the inventory planning table 18, the same processing as in (A1) above is executed.

(B2) If the inventory amount for the next year is already stored in the inventory amount column 18BC for the next year corresponding to the part type of the target part on the inventory planning table 18, nothing is done.

On the other hand, when the replacement necessity determination unit 24 confirms in step S33 that the latest value of the measurement item does not exceed the replacement necessity determination threshold value, for example, as shown in FIG. 12B. Notifies the inventory planning calculation unit 23 that it is not necessary to replace the target part within the next fiscal year (S35).

Thus, the inventory planning calculation unit 23 that has received this notification confirms the value stored in the inventory necessity column 18BB corresponding to the target part of the inventory planning table 18, and if this value is "necessary". The information is rewritten to "unnecessary", and if the value is "unnecessary", the value of the information is not rewritten and is left as it is.

When the inventory planning calculation unit 23 rewrites the value stored in the inventory necessity column 18BB corresponding to the target part of the inventory planning table 18 from "necessary" to "unnecessary", the following (C1) ) Or (C2) is also executed.

(C1) If the next year's inventory amount column 18BC (Fig. 6) corresponding to the part type of the target part on the inventory planning table 18 does not store the next year's inventory amount, the part of the part type of the target part (target part). The number of parts whose value stored in the inventory necessity column 18BB corresponding to the inventory planning table 18 is "necessary" is counted, and the count result (total number) is the part type. It is stored in the next year's inventory amount column 18BC corresponding to the part type as the next year's inventory amount.

(C2) If the next year's inventory amount is already stored in the next year's inventory amount column 18BC corresponding to the same part name as the target part on the inventory planning table 18, the next year's inventory amount column 18BC is stored in the next year's inventory amount column 18BC. Reduce inventory by "1".

Further, when the inventory planning calculation unit 23 does not rewrite the value stored in the inventory necessity column 18BB corresponding to the target part of the inventory planning table 18 (the value originally stored in the inventory necessity column 18BB is ". If it is "unnecessary"), the following processing or correspondence of (D1) or (D2) is also executed.

(D1) When the inventory amount for the next fiscal year is not stored in the inventory amount column 18BC for the next fiscal year corresponding to the part type of the target part on the inventory planning table 18, the same processing as in (C1) above is executed.

(D2) If the next year's inventory amount is already stored in the next year's inventory amount column 18BC corresponding to the part type of the target part on the inventory planning table 18, the next year's inventory stored in the next year's inventory amount column 18BC Reduce the amount by "1".

After that, the replacement necessity determination unit 24 determines whether or not the processes of steps S32 to S35 have been executed for all the necessary parts of the target elevator 2 (S36). Then, when the replacement necessity determination unit 24 obtains a negative result in this determination, it returns to step S31, and after that, the processing of steps S31 to S36 is performed while sequentially switching the parts acquired in step S31 to other unprocessed parts. repeat.

Then, when the replacement necessity determination unit 24 eventually obtains a positive result in step S36 by completing the processes of steps S32 to S35 for all the necessary parts of the target elevator 2, the measurement data database 20 (FIG. 3 (FIG. 3) A) It is determined whether or not the processes of steps S31 to S36 have been executed for all the elevators 2 registered in) (S37).

When the replacement necessity determination unit 24 obtains a negative result in this determination, it returns to step S30, and then processes the steps S30 to S37 while sequentially switching the elevator 2 selected in step S30 to another unprocessed elevator 2. repeat.

Then, when the replacement necessity determination unit 24 eventually obtains an affirmative result in step S37 by completing the processes of steps S31 to S36 for all the elevators 2 registered in the measurement data database 20, the replacement necessity determination unit 24 determines the necessity of replacement. End the process.

As described above, in the inventory management support system 1 of the present embodiment, not only the inventory plan considering the degree of influence at the time of failure occurs by using the past failure data, but also the latest state of each elevator 2 is checked. Since it is judged and reflected / adjusted in the inventory plan, it is possible to formulate an inventory plan without waste.

(2-4) Parts Replacement Good / Bad Judgment Process Next, the parts replacement good / bad judgment function mounted on the inventory management support device 7 will be described. This parts replacement quality determination function monitors the state of the elevator 2 after replacing the parts of the elevator 2, determines the quality of such parts replacement based on the monitoring result, and if necessary, the maintenance worker 9 (FIG. 1). ) Is a function to send an alert.

As a premise for realizing such a parts replacement quality determination function, when the maintenance worker 9 operates his / her own communication terminal 6 (FIG. 1) and registers a parts delivery request, for example, a warehouse worker The date when the part is delivered from the warehouse to the maintenance worker 9 (hereinafter, this is referred to as a delivery date) is registered in a computer device (not shown) installed in the warehouse. Then, this delivery date is transmitted from the computer device to the inventory management support device 7 (FIG. 2) via the network 8 (FIG. 1), and the inventory plan calculation unit 23 (FIG. 2) sends the inventory plan table 18 (FIG. 6). ) Shall be registered in a column (not shown) associated with that part.

Further, when the maintenance worker 9 completes the replacement of the parts, the maintenance worker 9 operates his / her communication terminal 6 to register the date when the replacement of the parts is completed (hereinafter, this is referred to as a replacement date). To do. In this case, this exchange date is transmitted from the communication terminal 6 to the inventory management support device 7 via the network 8 and registered by the inventory planning calculation unit 23 in a column (not shown) associated with the part in the inventory planning table 18. It shall be done.

FIG. 13 shows a flow of a series of processes (hereinafter, referred to as component replacement pass / fail determination processes) that are periodically (for example, daily) executed in the inventory management support device 7 in relation to the component replacement pass / fail determination function. ..

In this case, first, the inventory planning calculation unit 23 refers to the inventory planning table 18 and determines whether or not the parts have been delivered from the warehouse (S40). Then, when the inventory planning calculation unit 23 obtains a negative result in this determination, the process ends. As a result, the parts replacement quality determination process in the inventory management support device 7 is completed.

On the other hand, when the inventory planning calculation unit 23 obtains an affirmative result in the determination in step S40, the delivery parts are replaced with respect to the parts that have been delivered from the warehouse up to now (hereinafter, these are referred to as delivery parts). It is determined whether or not there is a track record (S41). This determination is made by determining whether or not the replacement date of the delivered part is registered in the inventory planning table 18.

Obtaining a negative result in this judgment means that the delivered part has been delivered from the warehouse and delivered to the maintenance worker 9, but the delivered part has not yet been used (has not been replaced with an old part). .. Thus, at this time, the inventory planning calculation unit 23 determines whether or not the expiration date of the delivered part has expired (S42). Specifically, in step S42, the inventory planning calculation unit 23 determines whether or not the value obtained by subtracting the delivery date of the delivery part from today's date exceeds the storage period of the delivery part.

Then, when the inventory planning calculation unit 23 obtains a negative result in this determination, the process ends. As a result, the parts replacement quality determination process in the inventory management support device 7 is completed.

On the other hand, when the inventory planning calculation unit 23 obtains an affirmative result in the determination in step S42, the maintenance worker 9 requests the delivery of the delivery part by issuing the first alert that the storage period of the delivery part has expired. (S43). Thus, the maintenance worker 9 carrying the communication terminal 6 that has received the first alert collects and discards the target component. Then, the inventory planning calculation unit 23 ends the processing after this. As a result, the parts replacement quality determination process in the inventory management support device 7 is completed.

On the other hand, when the inventory planning calculation unit 23 obtains an affirmative result in the determination in step S41, the inventory planning calculation unit 23 gives an instruction to the replacement necessity determination unit 24 to verify the quality of the replacement of the delivered parts (S44). At this time, the inventory planning calculation unit 23 reads the replacement date of the delivered part from the inventory planning table 18 and notifies the replacement necessity determination unit 24.

Upon receiving this instruction, the replacement necessity determination unit 24 receives the measurement data of the delivered parts registered in the measurement data database 20 (FIG. 3 (A)) from before the predetermined period of the replacement date of the delivered parts to the present. Acquire each measured value in the time series of. Further, the replacement necessity determination unit 24 determines the replacement necessity determination with the acquired time-series measurement data value (measurement value) or the time-series value of the corresponding measurement item (deterioration factor) calculated based on the measurement data. The threshold values of the measurement items registered in the threshold table 19 (FIG. 7) are sequentially compared with each other, and the quality of replacement of the delivered parts is determined (S45).

Then, as shown in FIG. 14A, the replacement necessity determination unit 24 measures the measured value of the delivered part or the value of the corresponding measurement item calculated based on the measured value on the replacement date of the delivered part. If the value decreases below the replacement necessity judgment threshold set for the item and the value below the replacement necessity judgment threshold is continuously maintained thereafter, it is judged that the delivery part has been replaced normally. To do. Then, at this time, the replacement necessity determination unit ends the process without doing anything. As a result, the parts replacement quality determination process in the inventory management support device 7 is completed.

On the other hand, in the replacement necessity determination unit 24, as shown in FIG. 14B, the measured value of the delivered part or the value of the corresponding measurement item calculated based on the measured value is the replacement date of the delivered part. After that, if the replacement necessity judgment threshold value set for the measurement item or more is continuously exceeded, replacement failure of the delivered part such as non-replacement, defective replacement work, or defective part itself occurs. Judged as

Then, at this time, the replacement necessity determination unit 24 transmits a second alert to the effect that a replacement failure of the delivery part has occurred to the communication terminal 6 of the maintenance worker 9 who requested the delivery of the delivery part ( S46). Thus, the maintenance worker 9 carrying the communication terminal 6 that has received the second alert executes corrective processing such as replacement, check, or re-replacement of the delivered parts.

Further, since the replacement necessity determination unit 24 may additionally issue the issued parts until the correction process is completed, the inventory planning calculation unit 23 so as to add the inventory of the issued parts in the inventory planning table 18 for the next fiscal year. (FIG. 2) is instructed (S47). As a result, in response to this instruction, the inventory amount of the part with the same part name as the delivery part stored in the inventory planning table 18 by the inventory planning calculation unit 23 for the next fiscal year is increased by "1". Then, after this, the replacement necessity determination unit 24 ends the process. As a result, the parts replacement quality determination process in the inventory management support device 7 is completed.

On the other hand, as shown in FIG. 14C, the replacement necessity determination unit 24 continues the measured value of the delivered part or the value of the corresponding measurement item calculated based on the measured value even after the replacement date of the delivered part. If it is less than half of the replacement necessity judgment threshold set for the measurement item, the maintenance worker 9 misarranges and replaces the delivered parts, or the parts that were not originally needed are excessive. It is judged that it is a preventive replacement.

Then, at this time, the replacement necessity determination unit 24 sends a third alert to the effect that the delivered part is a replacement due to erroneous arrangement or an excessive preventive replacement, and the communication terminal 6 of the maintenance worker 9 who requested the delivery of the delivered part. (S48). Thus, the maintenance worker 9 carrying the communication terminal 6 that has received the third alert collects the old parts replaced with the delivered parts and investigates the possibility of reuse by overhaul. Then, after this, the replacement necessity determination unit 24 ends the process. As a result, the parts replacement quality determination process in the inventory management support device 7 is completed.

When the replacement necessity determination unit 24 detects a plurality of parts that have been delivered by that time in step S40, the processes of steps S41 to S47 are executed for each of the parts (delivery parts).

(3) Effect of the present embodiment As described above, in the inventory management support system 1 of the present embodiment, the rank of the degree of influence of the part type at the time of failure is set in advance for each part type of the elevator 2, and the failure occurs. In the occurrence cycle calculation reliability column 17G, the reliability to be used as a reference when calculating the failure occurrence cycle is determined in advance for each rung of the failure impact degree. Then, the inventory management support device 7 calculates the failure occurrence prediction date for each part of each elevator 2 based on the rank of the degree of influence at the time of failure of these parts types and the reliability of each rank, and the calculation result. Based on, the inventory amount for each part type is determined.

In this case, in this inventory management support system 1, the reliability is 95% for the parts type having a high rank of impact at the time of failure (the influence at the time of failure is large), and 90% reliability for the parts types of other ranks. Since the failure occurrence cycle is calculated, as a result, it is possible to determine the inventory amount of parts of a part type with a high degree of impact at the time of failure to a safer inventory amount, and for parts of other ranks. Can determine the inventory quantity in a form that is smaller in quantity than the parts type with a high degree of impact at the time of failure.

Further, in the present inventory management support system 1, as described above for the replacement necessity determination process in FIG. 11, in addition to this, the current state of each part of each elevator 2 is also taken into consideration, and the final inventory for each part type is taken into consideration. Since the quantity is fixed, the inventory quantity of each part type can be optimized.

Furthermore, in this inventory management support system 1, the state of parts after replacement is monitored, an alert is sent to maintenance workers as necessary, and the inventory amount is also adjusted, so that the inventory amount is even more appropriate. It is possible to support inventory management so that it can be changed.

(4) Other Embodiments In the above-described embodiment, the case where the present invention is applied to the inventory management support system 1 that supports the inventory management of the parts of the elevator 2 has been described, but the present invention describes the present invention. Not limited to this, it can be widely applied to inventory management of parts of devices other than the elevator 2.

Further, in the above-described embodiment, the case where the rank of the degree of influence at the time of failure is set to three ranks of “A” to “C” has been described, but the present invention is not limited to this, and the degree of influence at the time of failure is not limited to this. The rank may be set to 2 ranks or 4 ranks or more.

Further, in the above-described embodiment, the reliability in calculating the failure occurrence cycle is set separately for two types, a component type having a failure impact rank of "A" and a component type other than the above. However, the present invention is not limited to this, and the reliability may be set for each rank of the degree of influence at the time of failure.

Further, in the above-described embodiment, the case where the first to third alerts are transmitted to the maintenance worker 9 has been described, but the present invention is not limited to this, and these first to third alerts are transmitted. It may be transmitted to the business office under its jurisdiction, and various other destinations can be widely applied as the destinations of the first to third alerts.

The present invention can be widely applied to various forms of inventory management support systems that support inventory management of parts.

1 ... Inventory management support system, 2 ... Elevator, 3 ... Remote monitoring device, 4 ... Measurement data management server, 5 ... Operation information management server, 6 ... Communication terminal, 7 ... Inventory management support device, 9 ... Maintenance worker, 10 ... CPU, 17 ... Impact rank table, 18 ... Inventory planning table, 19 ... Replacement necessity judgment threshold table, 20 ... Measurement data database, 21 ... Operation information database , 22 ... Failure occurrence cycle calculation unit, 23 ... Inventory planning calculation unit, 24 ... Replacement necessity determination unit.

Claims (8)

In an inventory management support system that supports inventory management of parts of the predetermined device to be stockpiled for maintenance of the predetermined device.
Based on each measurement data regarding the deterioration factor for each part to be stockpiled and the operation information regarding the operation status, failure history, and replacement history of each part of the predetermined device, the inventory amount for each part type of the part is determined. Each has an inventory management support device to decide
For each part type, the rank of the degree of influence on the operation of the predetermined device when a failure occurs in the part of the part type is set in advance, and for each rank, the corresponding part type said. The reliability when calculating the failure occurrence cycle, which is the cycle in which a failure occurs in a part, is set in advance.
The inventory management support device is
A failure occurrence cycle calculation unit that calculates the failure occurrence cycle with the reliability according to the rank of the influence degree of the component type for each component type based on the measurement data and the operation information.
Based on the measurement data representing the current state of each of the parts, a replacement necessity determination unit that determines the necessity of replacement for each of the parts of the predetermined device, and a replacement necessity determination unit.
Based on the failure occurrence cycle for each component type calculated by the failure occurrence cycle calculation unit, the time when a failure occurs for each component of the predetermined device is predicted, and the prediction result and the replacement necessity are obtained. An inventory management support system including an inventory planning calculation unit that determines the inventory amount for each part type based on the determination result of the determination unit. The inventory planning calculation unit
For each part type, among the parts of the part type, the number of the parts whose time when the failure is predicted to occur is within the target period for determining the inventory amount for each part type is determined by the part type. The inventory management support system according to claim 1, wherein the inventory amount is determined. The replacement necessity determination unit
For each of the above-mentioned parts in inventory, the delivery date and replacement date of the part are managed, respectively.
Based on the delivery date and the replacement date, it is determined whether or not the expiration date of the part has not expired for the part that has been delivered but has not been replaced.
The inventory management support system according to claim 1, wherein when the expiration date of the part has expired, a first alert is sent to a predetermined destination. The replacement necessity determination unit
Whether or not the part is replaced is good or bad based on the time-series value of the measurement data corresponding to the part for which the predetermined device has been replaced or the time-series value of the corresponding deterioration factor calculated based on the measurement data. Judging,
The inventory management support system according to claim 1, wherein a second alert is sent to a predetermined destination when it is determined that the parts have not been replaced normally. It is an inventory management support method executed in an inventory management support system that supports inventory management of parts of the predetermined device to be stockpiled for maintenance of the predetermined device.
The inventory management support system is
Based on each measurement data regarding the deterioration factor for each part to be stockpiled and the operation information regarding the operation status, failure history, and replacement history of each part of the predetermined device, the inventory amount for each part type of the part is determined. Each has an inventory management support device to decide
For each part type, the rank of the degree of influence on the operation of the predetermined device when a failure occurs in the part of the part type is set in advance, and for each rank, the corresponding part type said. The reliability when calculating the failure occurrence cycle, which is the cycle in which a failure occurs in a part, is set in advance.
Based on the measurement data and the operation information, the inventory management support device calculates the failure occurrence cycle for each part type with the reliability corresponding to the rank of the influence degree of the part type. Step 1 and
Based on the calculated failure occurrence cycle for each component type, the inventory management support device predicts when a failure will occur for each component of the predetermined device, and determines the current state of each component. Based on the measurement data to be represented, it is determined whether or not replacement is necessary for each of the parts of the predetermined device, and the predicted time when the failure occurs for each of the parts of the predetermined device and the said of the predetermined device. An inventory management support method comprising a second step of determining an inventory amount for each part type based on a determination result of necessity of replacement for each part. In the second step, the inventory management support device is
For each part type, among the parts of the part type, the number of the parts whose time when the failure is predicted to occur is within the target period for determining the inventory amount for each part type is determined by the part type. The inventory management support method according to claim 5, wherein the inventory amount is determined. The inventory management support device is
For each of the above-mentioned parts in inventory, the delivery date and replacement date of the part are managed, respectively.
Based on the delivery date and the replacement date, it is determined whether or not the expiration date of the part has not expired for the part that has been delivered but has not been replaced.
The inventory management support method according to claim 5, wherein when the expiration date of the part has expired, a first alert is sent to a predetermined destination. Based on the time-series value of the measurement data corresponding to the part for which the predetermined device has been replaced or the time-series value of the corresponding deterioration factor calculated based on the measurement data. It is characterized by including a third step of transmitting a second alert to a predetermined destination when it is determined whether or not the replacement of the component is good or bad and the replacement of the component is not performed normally. The inventory management support method according to claim 5.

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