Maintenance optimization system and maintenance optimization device

Abstract

To provide an appropriate timing of maintenance by performance deterioration of a machine product, and maintain a good state of a machine product.SOLUTION: A maintenance optimization system for maintenance for continuously using an industrial machine product has a calculation part for calculating reproduction cost information by using product configuration information, operation information, and reproduction information, calculating cost transition information by using the product configuration information, the operation information, and maintenance information, and calculating performance transition information by using the operation information and the maintenance information, wherein the calculation part displays a maintenance timing of a predetermined product and transition of a profit related to the maintenance on a display device, by using the reproduction cost information, the cost transition information, and the performance transition information.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] The present invention relates to a maintenance optimization system and a maintenance optimization device for the maintenance of industrial machine products for continuous use.

Background Art

[0002] Manufacturers (customers) who produce products use them for a long time in consideration of depreciation of relatively expensive industrial machine products and metalworking products. Generally, such machine products are concluded with a maintenance contract in addition to a product purchase contract or a lease contract. And, a maintenance provider commissioned by a machine product provider performs regular maintenance, and this has become a business model for maintaining the availability of machine products in the long term. Customers do not desire excessive costs due to maintenance in the long-term use of machine products, etc., nor do they desire a decrease in the performance of machine products or a decrease in the quality of products produced.

[0003] Patent Document 1 discloses a technique in which when replacing parts in maintenance or the like, a plurality of replacement parts and costs can be presented and selected as candidates from the usage status of the product or parts.

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0005] However, it is difficult for providers of mechanical products and maintenance implementers to formulate and present an appropriate maintenance plan in accordance with the usage plan of the manufacturer (customer) without degrading the product performance of the mechanical products. In particular, when the maintenance contract ends and another maintenance implementer takes over the maintenance, the difficulty significantly increases. Furthermore, in recent years, against the backdrop of soaring recycling prices and supply chain risks, providers of mechanical products and maintenance implementers are compelled to extend the life cycle of mechanical products and effectively utilize resources to secure profits through, for example, replacing parts used in mechanical products and making use of used parts.

[0006] An object of the present invention is to provide an appropriate timing for maintenance due to performance degradation of mechanical products and to maintain the mechanical products in good condition.

Means for Solving the Problems

[0007] To solve the above problems, a maintenance optimization system for maintaining the continuous use of industrial mechanical products, which calculates regeneration cost information using product configuration information, operation information, and regeneration information, calculates cost transition information using the product configuration information, the operation information, and maintenance information, and calculates performance transition information using the operation information and the maintenance information, and has a calculation unit that displays, on a display device, the maintenance timing of a predetermined product and the transition of the profit related to the maintenance using the regeneration cost information, the cost transition information, and the performance transition information.

Effects of the Invention

[0008] In the present invention, an appropriate timing for maintenance due to performance degradation of mechanical products can be provided, and the mechanical products can be maintained in good condition.

Brief Description of the Drawings

[0009]

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Mode for Carrying Out the Invention

[0010] A maintenance optimization system 1 in maintenance for continuous use of an industrial mechanical product according to an embodiment of the present invention will be described. FIG. 1 is a functional block diagram showing the configuration of the maintenance optimization system 1.

[0011] The maintenance optimization system 1 includes a storage device 6, a maintenance optimization device 10, etc. The storage device 6 is connected to the maintenance optimization device 10 and stores information or data such as product configuration information 2, operation information 3, regeneration information 4, and maintenance information 5. Note that the storage device 6 may be built into the maintenance optimization device 10.

[0012] The product configuration information 2 is added each time a new product is developed and stores information about the product to be maintained. The operation information 3 stores the measured information of the product. The regeneration information 4 stores information about the parts in the product. The maintenance information 5 stores agreements based on maintenance contracts with customer users, etc.

[0013] The maintenance optimization device 10 has a product configuration information input unit 11, an operation information input unit 12, a regeneration information input unit 13, a maintenance information input unit 14, a key information input unit 15, a regeneration cost calculation unit 16, a cost trend calculation unit 17, a performance trend calculation unit 18, a maintenance schedule calculation unit 19, a maintenance schedule screen 20, etc.

[0014] The product configuration information input unit 11 inputs the information of the product configuration information 2 to the maintenance optimization device 10. The operation information input unit 12 inputs the information of the operation information 3 to the received maintenance optimization device 10. The regeneration information input unit 13 inputs the information of the regeneration information 4 to the maintenance optimization device 10. The maintenance information input unit 14 inputs the information of the maintenance information 5 to the maintenance optimization device 10. The key information input unit 15 inputs information such as a character code by the user to the maintenance optimization device 10.

[0015] The regeneration cost calculation unit 16 calculates the regeneration cost from the input product configuration information 2, operation information 3, and regeneration information 4, and sends the data of the regeneration cost to the maintenance schedule calculation unit 19. The cost trend calculation unit 17 calculates the cost trend from the input product configuration information 2, operation information 3, and maintenance information 5, and sends the data of the cost trend to the maintenance schedule calculation unit 19. The performance trend calculation unit 18 calculates the performance trend from the received operation information 3 and maintenance information 5, and sends the data of the performance trend to the maintenance schedule calculation unit 19.

[0016] The maintenance schedule calculation unit 19 calculates a maintenance schedule using the sent data, and sets it so that a graph or the like can be displayed on the maintenance schedule screen 20 using the calculated maintenance schedule data. Then, the maintenance schedule screen 20 using data, graphs, etc. is displayed.

[0017] FIG. 2 is a hardware block diagram showing the configuration of the maintenance optimization system 1. The maintenance optimization system 1 is constructed by a computer. As shown in FIG. 2, it includes a CPU (Central Processing Unit) 101, a ROM 102, a RAM 103, an HDD (Hard Disk Drive) 104 as a storage device 6, and an HDD controller 105. It also includes a display 106 which is a display device for displaying the maintenance schedule screen 20 etc., and a network I / F (Interface) 107. Furthermore, it includes an external device connection I / F 108, a keyboard 109 as a key information input unit 15, a bus line 110, a DVD (Digital Versatile Disk) drive 111, a media I / F 113, etc.

[0018] Among these, the CPU 101 controls the overall operation of the maintenance optimization system 1. The ROM 102 stores a program used for driving the CPU 101. The RAM 103 is used as a work area for the CPU 101. The HDD 104 stores various data including programs etc. The HDD controller 105 controls the reading or writing of various data to / from the HDD 104 according to the control of the CPU 101. The display 106 displays various information such as a cursor, menu, window, characters, or images. The network I / F 107 is an interface for data communication using the network.

[0019] The external device connection I / F 108 is an interface for connecting various external devices. Examples of external devices in this case include a USB (Universal Serial Bus) memory, a printer, and the like. The keyboard 109 is a type of input means having a plurality of keys for inputting characters, numerical values, various instructions, and the like. The bus line 110 is an address bus, a data bus, or the like for electrically connecting each component such as the CPU 101.

[0020] The DVD drive 111 controls the reading of various data with respect to the DVD 112 as an example of a removable recording medium. The media I / F 113 controls the reading or writing (storage) of data with respect to a recording medium 114 such as a flash memory.

[0021] The processing unit that performs the processing of calculation units such as the reproduction cost calculation unit 16, the cost trend calculation unit 17, the performance trend calculation unit 18, and the maintenance schedule calculation unit 19 that the maintenance optimization system 1 in FIG. 1 has is executed using the programs in the ROM 102 and the RAM 103 with the CPU 101 in FIG. 2 as a processor.

[0022] FIG. 3A is a data table showing an example of product configuration information. The product configuration information 2 obtained in the design is information regarding the components constituting the product, and information (data) such as the product design ID 201, the component design ID 202, the parent component design ID 203, the design performance 204, and the performance coefficient 205 is in a data table-like structure. In the following description, various information may be described using expressions such as "table", but it may be expressed in a data structure other than a table.

[0023] The product design ID 201 is an identifier for uniquely identifying a product at a certain product design. The product design ID 201 in FIG. 2 is denoted as, for example, "D1".

[0024] The component design ID 202 is an identifier for uniquely identifying the components that make up a given product (e.g., "D1"). The associated components are not limited to one, and may be a group of components combined from multiple components. The component design ID 202 is denoted, for example, as "P1", "P2", etc.

[0025] The parent component design ID 203 is an identifier indicating which component's constituent elements the components associated with the component design ID 202 are in terms of structure. For example, when the component design ID 202 is "P7", the parent component design ID 203 is denoted as "P2", indicating that the parent component of component "P7" is "P2".

[0026] The design performance 204 is information showing the transition of the design performance of the components associated with the component design ID 202. As shown in Figure 3B, the design performance 204 can be represented by a graph with the operating time on the X-axis and the performance value on the Y-axis. That is, the design performance 204 represents the transition of the performance value in the change of the operating time. The design performance 204 is not limited to this, and may also be the transition between information such as elapsed time or number of startups and the performance value.

[0027] The performance coefficient 205 is the weighting information occupied by the components associated with the component design ID 202 when calculating the product performance associated with the product design ID 201. The performance coefficient 205 of a component determines the coefficient based on, for example, the operating time or the number of reproductions as a coefficient to be multiplied by the performance value of the component in the design performance 204. However, it is not limited to this, and it may be determined based on information such as elapsed time or number of startups.

[0028] Figure 4A is a data table showing an example of the operating information 3 of an actual product. The operating information 3 is information regarding the operation of the product, and the information (data) in which the product ID 301, the cumulative operating time 302, and the actually measured product performance 303 are associated is in a data table structure.

[0029] Product ID 301 is an identifier for uniquely identifying an actual individual product. Product ID 301 is denoted, for example, as "C1", "C2", etc. The individual information of the cumulative operation time 302 is information showing the cumulative transition of the true operation time of the individual product associated with Product ID 301, as shown in FIG. 4B. That is, in terms of operation time, there are operation time zones and standby time zones, etc., and the former is the true operation time. The cumulative operation time 302 is a plurality of data that can be represented by a graph with the operation time on the X-axis and the cumulative operation time, which is the cumulative of the true operation time, on the Y-axis, as shown in FIG. 4B.

[0030] The measured product performance 303 is information showing the transition of the measured performance of the individual product associated with Product ID 301. The measured product performance 303 is a plurality of data that can be represented by a graph with the operation time on the X-axis and the measured product performance on the Y-axis, as shown in FIG. 4C. The value of the measured product performance uses the value directly measured for the performance of the corresponding product. This value of the measured product performance may also use other similar measurement information. Also, for information on future product performance that has not been measured, estimated information obtained by calculation or the like may be used.

[0031] FIG. 5A is a data table showing the reproduction information 4. The reproduction information 4 is information regarding the reproduction of parts, and information (data) in which the part design ID 202, the failure rate 401, the repair cost 402, the downtime 403, the reproduction cost 404, and the reproduction required time 405 are associated is in a data table structure.

[0032] The failure rate 401 is information showing the transition of the failure rate of the parts associated with the part design ID 202. The failure rate 401 is a plurality of data that can be represented by a graph with the operation time on the X-axis and the failure rate on the Y-axis, as shown in FIG. 5B.

[0033] The repair cost 402 is information indicating the cost required when a component associated with the component design ID 202 fails. The repair cost 402 is a plurality of data that can be represented by a graph with the operating time on the X-axis and the repair cost on the Y-axis, as shown in FIG. 5C. Although the repair cost can be varied due to factors such as price increases of repair parts, here, the cost is set at a fixed amount for each individual component of the component design ID 202 (e.g., "P1").

[0034] The downtime 403 is information indicating the time required for the product to become available again when a component associated with the component design ID 202 fails. The downtime 403 is a plurality of data that can be represented by a graph with the operating time on the X-axis and the downtime on the Y-axis, as shown in FIG. 5D. Although the time required to become available can be varied depending on time (e.g., late at night or early in the morning), season (e.g., New Year), etc., here, the cost is set at a fixed amount for each individual component of the component design ID 202 (e.g., "P1").

[0035] The regeneration cost 404 is information indicating the cost for regeneration to a state similar to a new product by regeneration, regardless of whether the component associated with the component design ID 202 fails or not. The regeneration cost 404 is a plurality of data that can be represented by a graph with the operating time on the X-axis and the regeneration cost on the Y-axis, as shown in FIG. 5E. Although the regeneration cost can be varied as appropriate, here, the regeneration cost is increased step by step with time.

[0036] The regeneration required time 405 is information indicating the time required for regeneration to a state similar to a new product by regeneration, regardless of whether the component associated with the component design ID 202 fails or not. As shown in FIG. 5F, the regeneration required time 405 is a plurality of data that can be represented by a graph with the operating time on the X-axis and the regeneration required time on the Y-axis. Although the regeneration required time can be varied as appropriate, here, the regeneration required time is increased step by step with time.

[0037] In this way, the information of the playback information 4 quantitatively shows the transition of the costs associated with the operation of the components. Although the operation time is set on the X-axis, it is not limited to this, and information such as elapsed time or number of startups may also be used.

[0038] Figure 6 is a data table showing maintenance information 5 based on a maintenance contract or the like. The maintenance information 5 is information related to the maintenance of the product, and information (data) in which a maintenance event 501, a trigger 502, and a payment 503 are associated has a data table-like structure.

[0039] The maintenance event 501 is information that is the name of an event that occurs in the maintenance activities of the product.

[0040] The trigger 502 is timing information of an event or date and time that triggers the occurrence of the maintenance event 501. For example, "the 1st of every month" is an event that occurs on the 1st of each month, such as January 1st and February 1st, and it can be at any timing within the day of the 1st. "Every two months" is an event that occurs every two months, such as January and March, and it can be at any timing within the target month of January. Here, it is set as the same date two months later.

[0041] The payment 503 is information on payments and withdrawals related to the occurrence of the maintenance event 501. For example, "user: -10" indicates that the manufacturer (customer) that produces the product that is the user makes a withdrawal, and "maintainer: +10" indicates that there is a payment to the maintenance implementer who is the maintainer.

[0042] In this way, the information of the maintenance information 5 can quantitatively show the maintenance contract period, the maintenance events in the maintenance activities, and the timing and money flow in those maintenance events for each customer user or each product.

[0043] The maintenance schedule calculation process will be described. Figure 7 is a flowchart of the calculation process of the maintenance schedule calculation unit 19.

[0044] In step S901 of FIG. 7, the maintenance schedule calculation unit 19 receives the time range T (T1 - T2) to be analyzed via the key information input unit 15 which is the keyboard 109. This embodiment is for making it applicable not only when newly introducing a product but also when taking over the maintenance work from other maintenance implementers in the period of starting maintenance with customer users.

[0045] In step S902, the replacement timing KT of parts is received via the key information input unit 15 which is the keyboard 109.

[0046] In step S903, the input product ID 1002 which is an identifier for specifying a predetermined product to be analyzed is received via the key information input unit 15 which is the keyboard 109.

[0047] In step S904, the input part design ID 1005 for specifying the part or part group to be analyzed among the input product ID 1002 is received via the key information input unit 15 which is the keyboard 109.

[0048] In step S905, for the range of the time range “T(T1 - T2)” to be analyzed, the time range for analysis using the variable t (t1~tn) is subjected to the loop processing from step S907 to step S909 hereinafter. When the time range “T” is, for example, “2022 / 1~2026 / 1”, the value t1 as the variable t is “1” replacing “202201”, and the value tn is “49” replacing “202601”.

[0049] In step S906, for the range of the input part design ID 1005, the target parts are subjected to the loop processing from step S907 to step S909 hereinafter using the variable p (p1~pn).

[0050] For example, when the input product ID 1002 is "D1" and the input component design ID 1005 is "P2", refer to the data table of product configuration information 2 in FIG. 3A, and identify parts "P7" and "P8" of component design ID 202 when the parent component design ID 203 is "P2". Then, the value p1 of variable p is "P7", and the value pn is "P8".

[0051] In step S907, the reproduction cost calculation unit 16 calculates the reproduction cost using the variable p related to the analysis component and the variable t related to the analysis time, and obtains the reproduction cost c, the reproduction required time r, and the downtime estimate d. The details of the reproduction cost calculation will be described in FIG. 8 below.

[0052] In step S908, the cost trend calculation unit 17 calculates the cost trend using the component replacement timing KT and obtains the replacement cost kc. The details of the cost trend calculation will be described in FIG. 9 below. Note that the replacement timing KT, for example, when it is "2025 / 5", becomes "41" after replacing "202505" based on the replacement of "2022 / 1~2026 / 1" in the time range T.

[0053] In step S909, the performance trend calculation unit 18 calculates the performance trend using the variable p related to the component and the variable t related to time, and obtains the product performance sp. The details of the performance trend calculation will be described in FIG. 10 below.

[0054] In this way, when the iterative processing with variables t (t1~tn) and variables p (p1~pn) is completed, the reproduction cost c, the reproduction required time r, and the downtime estimate d as the reproduction cost information obtained in step S907 (reproduction cost calculation unit 16), the replacement cost kc as the cost trend information obtained in step S908 (cost trend calculation unit 17), and the value of the product performance sp as the performance trend information obtained in step S909 (performance trend calculation unit 18) are obtained.

[0055] In step S910, the maintenance schedule calculation unit 19 refers to the cost at that time at the timing when the reproduction cost c, which is the repair cost among the results of the reproduction cost calculation unit 16, is maximized, and at the replacement timing KT at which the replacement cost kc, which is the maintenance cost, occurs, obtains the total cost, and specifies the timing at which the total cost is maximized as the maintenance timing information. Then, it is possible to output including information related to the maintenance timing information as the recommended maintenance timing 1003. Note that at the time of specification, correction or recalculation of the reproduction required time r, the estimated downtime d, the product performance sp, etc. is performed based on the maintenance timing information.

[0056] In this way, by inputting the assumed maintenance contract period as the analysis period and calculating the reproduction cost, performance, etc., it is possible to grasp the performance and maintenance cost during the maintenance contract period, and it is possible to conclude a maintenance contract with the customer user while considering the maintenance contract period, maintenance cost, etc.

[0057] FIG. 8 is an example of a flowchart of the reproduction cost calculation process performed by the reproduction cost calculation unit 16 in step S907 of FIG. 7. This process is performed based on the variable p related to the analysis part and the variable t related to the analysis time.

[0058] In step S601, the value of the variable p (for example, "P7") of the predetermined part related to the input product ID 1002 (for example, "D1" or "C1") to be calculated is received.

[0059] In step S602, the value of the variable t (for example, "1"), which is the predetermined time that is the cumulative time using the part corresponding to S601, is received.

[0060] In step S603, the reproduction cost c as the calculation result is initialized.

[0061] In step S604, the value obtained by multiplying the corresponding failure rate 401 and repair cost 402 by referring to the reproduction information 4 in FIG. 5A from the predetermined part and the predetermined time is added to the reproduction cost c.

[0062] In step S605, with reference to the reproduction information 4 in FIG. 5A for a predetermined part and a predetermined time, the corresponding reproduction cost 404 is added to the reproduction cost c.

[0063] In step S606, with reference to the reproduction information 4 in FIG. 5A for a predetermined part and a predetermined time, the corresponding required reproduction time 405 is set as the resulting required reproduction time r.

[0064] In step S607, with reference to the reproduction information 4 in FIG. 5A for a predetermined part and a predetermined time, the value obtained by multiplying the corresponding failure rate 401 by the downtime 403 is set as the estimated downtime d.

[0065] In step S608, the reproduction cost c, the required reproduction time r, and the estimated downtime d are sent to end the reproduction cost calculation process, and the process proceeds to step S908 in FIG. 7.

[0066] FIG. 9 is an example of a flowchart of the cost trend calculation process performed by the cost trend calculation unit 17 in step 908 of FIG. 7. This process is performed based on the component replacement timing KT.

[0067] In step S701, the replacement timing KT is received.

[0068] In step S702, the value of the resulting replacement cost kc is initialized.

[0069] In step S703, for all of the maintenance events 501 in the maintenance information 5 in FIG. 6, the processes from step S704 to step S705 are repeated.

[0070] In step S704, it is determined whether the replacement timing KT corresponds to the trigger 502 of the maintenance event 501. If it corresponds, the process of step S705 is executed. If it does not correspond, the process of step 705 is not performed, and the determination process is performed for the next content of the maintenance event 501.

[0071] In step S705, the amount of the corresponding cash flow 503 is added to the replacement cost kc.

[0072] In step S706, the replacement cost kc is sent to complete the cost transition process, and the process proceeds to step S909 in FIG. 7.

[0073] FIG. 10 is an example of a flowchart of the performance transition calculation process performed by the performance transition calculation unit 18 in step 909 of FIG. 7. This process is performed based on the variable p related to the analysis component and the variable t related to the analysis time. That is, it is the value of the variable p of the predetermined component related to the input product ID 1002 to be calculated (for example, "P7") and the value of the variable t which is the predetermined time that is the cumulative time using the corresponding component (for example, "1").

[0074] In step S801, a predetermined time to be calculated is received.

[0075] In step S802, the product performance sp which is the calculation result is initialized.

[0076] In step S803, it is received whether to use the measured value or the estimated value for the calculation. When using the measured value, the process proceeds to step S804, and when using the estimated value, the process proceeds to step S806.

[0077] That is, it is confirmed whether the input product ID 1002 exists in the product ID 301 of the data table of the operation information 3 in FIG. 4A. And when the corresponding product exists in the product ID 301, that is, when using the measured value, the process proceeds to step S804. When the corresponding product does not exist, the process proceeds to step S806 to use the estimated value.

[0078] When using the measured value for the calculation, in step S804, in order to identify an individual product, the product ID (for example, "C1") in the product ID 301 that matches the input product ID 1002 is accepted by referring to the data table of the operation information 3 in FIG. 4A.

[0079] In step S805, referring to the data table of the operation information 3 in FIG. 4A, the product performance sp is calculated from the cumulative operation time 302 and the measured product performance 303 of this product ID.

[0080] On the other hand, when using the estimated value, in step S806, in order to identify the designed product, the product ID (for example, "D1") of the product design ID 201 that matches the input product ID 1002 is accepted in the product design ID 201 of the data table of the product configuration information 2 in FIG. 3A.

[0081] In step S807, referring to FIG. 3A, the parts of the component design ID 202 corresponding to the product of the matched product design ID 201 (input product ID) are repeatedly processed from step 808 to step 809.

[0082] In step S808, if there is a design performance 204 in the component corresponding to the component design ID 202, it proceeds to step S809. When there is no design performance 204, step 808 is performed on the next component.

[0083] In step S809, the performance value for a predetermined time of the design performance 204 of the corresponding component is specified, and the coefficient of the performance value and the performance coefficient 205 is multiplied and added to the product performance sp.

[0084] Then, in step S810, the product performance sp is sent to end the process and return to step S906 in FIG. 7.

[0085] FIG. 11 is an example of a maintenance schedule screen for providers of mechanical products and maintenance implementers. For example, the maintenance schedule calculation unit 19 displays, on the maintenance schedule screen 20 of the display device, a maintenance schedule creation screen 1001 for maintenance implementers that can be displayed by providers of mechanical products, maintenance providers, especially the person in charge (user) who formulates the maintenance schedule.

[0086] The maintenance schedule planning screen 1001 of the display device calculates the timing with the highest cost from the maintenance timing using the maintenance schedule calculation unit 19, and presents the schedule of related maintenance activities. Note that a display unit such as the display 106 as the display device is attached to the maintenance optimization device and is integrated, but it may also be a separable display device that can be connected by wire or wirelessly.

[0087] As shown in FIG. 11, on the maintenance schedule planning screen 1001, an input product ID 1002 for inputting the product ID of a predetermined product using a keyboard and an analysis period 1010 for inputting the time range (period) to be analyzed are displayed.

[0088] Also, the maintenance schedule calculation unit 19 displays the recommended maintenance timing 1003 for displaying the maintenance timing information on the display device. Further, the maintenance schedule calculation unit 19 calculates and displays the regular maintenance income and maintenance costs determined in a maintenance contract, etc., and the irregular repair costs that occur when repairs are necessary. Then, it calculates the financial benefits associated with these revenues and costs, and displays the cost trend 1004 in which these information (data) are charted as a graph or the like.

[0089] The lower side of the maintenance schedule planning screen 1001 shows the status of the parts inventory. An input part design ID 1005 for inputting the part design ID and a new production quantity 1006 for inputting the number of parts to be newly manufactured are displayed. Note that it is configured to accept the input of the part design ID corresponding to the input product ID 1002 input previously, and not to accept the input of a non-corresponding part design ID. Also, the display of the new production quantity 1006 may display the number of parts already held in stock first.

[0090] Then, output information such as the inventory prediction 1007 for graphically displaying the status of the inventory as inventory, under repair, and newly manufactured is displayed. The period under repair here (repair period) is calculated based on the required regeneration time 405 in the regeneration information 4. Thus, it is possible to grasp the inventory (stockpiling) status of the parts with the part design ID input in the input part design ID 1005.

[0091] Here, the input information is displayed with a square frame added, and the output information is underlined and displayed together with the graph after the input of the input information.

[0092] The person in charge of formulating the maintenance schedule can refer to the changes in the occurrence costs and profits for each type with the maintenance period as the analysis period for a predetermined part of a predetermined product while looking at the input and output information.

[0093] Also, it has a provisional correction mode for the displayed maintenance schedule formulation screen 1001. In the provisional correction mode, the maintenance schedule calculation unit 19 receives the information of the maintenance information 5 input by the key information input unit 15 (for example, the maintenance fee that becomes maintenance income), performs provisional correction, recalculates with the provisionally corrected data, and can also display the maintenance schedule formulation screen 1001 in the provisional correction mode. Furthermore, it is also possible to switch between and display the original maintenance schedule formulation screen 1001 and the maintenance schedule formulation screen 1001 in the provisional correction mode.

[0094] In FIG. 11, for example, "C1" is input from the keyboard 109 as the input product ID 1002, and the information is displayed on the display of the display device. Also, the analysis period 1010 is input as the time range to be analyzed and is displayed as "2022 / 1~2026 / 1". The input "2022 / 1~2026 / 1" is replaced and handled as "1" when the machine product starts operation as the analysis start timing and "49" as the analysis end timing.

[0095] Note that the analysis period 1010 can specify the range and interval assuming long-term maintenance. For example, it is possible to specify from the start timing "1" when the machine product starts operation to the end timing "25" or more. This can avoid short-term inputs less than the end timing "25". Also, even if the range is specified long, a graph that is easy to view can be displayed by opening the interval. Furthermore, it is also possible to specify not the timing "1" when the machine product starts operation but the timing during the time elapsed after starting operation as the start timing. This can also handle the case when the maintenance contract is switched.

[0096] Note that for the replacement timing KT, the replacement period 1009 is first displayed at the same location as the display section of the analysis period 1010. When the input is completed, the analysis period 1010 as the time range (period) to be analyzed is displayed. The replacement timing KT input in the replacement period 1009 is for one time, but it can also be input in the same format as the input of the analysis period 1010.

[0097] Also, by inputting the input component design ID and the new production quantity 1006, the transition of the component inventory associated with the maintenance schedule is displayed as the inventory prediction 1007. By doing so, it is possible to simultaneously check whether there is sufficient component inventory for maintenance.

[0098] These pieces of information are not limited to a single product or component. For multiple products or components, it is also possible to perform addition, comparison, statistical analysis, and similar processes and display the results.

[0099] FIG. 12 is an example of a maintenance schedule screen for manufacturers (customers). For example, on the maintenance schedule screen 20 of the display device, there is a maintenance schedule viewing screen 1101 that can be displayed to the purchaser or user (customer) of the mechanical product, especially the person in charge of the operation and maintenance of the mechanical product (customer user).

[0100] The maintenance schedule calculation unit 19 calculates the timing with the highest cost from the maintenance timing and displays the associated maintenance timing information on the recommended maintenance timing 1003 of the maintenance schedule viewing screen 1101 of the display device.

[0101] As shown in FIG. 12, on the maintenance schedule viewing screen 1101, an input product ID 1002 for inputting a product ID of a predetermined product using a keyboard and an analysis period 1010 for inputting a time range (period) are displayed. Also, maintenance timing information is output and displayed as recommended maintenance timing 1003, and annual maintenance cost information (maintenance fee) related to maintenance services is output and displayed as maintenance cost 1104. Furthermore, output information such as a performance transition 1105 that displays the transition of the product performance using the product performance sp in a graph or the like, an operating rate 1106 that displays the transition of the operating rate of the product in a graph using the reproduction required time r, and a downtime 1107 that displays the transition of the downtime at the time of product failure in a graph using the downtime estimate d, etc. are displayed.

[0102] In FIG. 12, when the recommended maintenance timing is "41 months", referring to the performance transition 1105, it can be seen that the performance on the Y-axis does not fall below "88" as agreed in the maintenance contract or the like.

[0103] Therefore, the purchaser or user (customer) of the mechanical product can view, from these input and output information, the recommended maintenance timing and the transitions of each main information indicating efficiency, such as a graph or the like that charts the transition of the mechanical product performance at a satisfactory level. By providing the appropriate timing of maintenance due to performance degradation of the mechanical product in this way, it can be recognized that the mechanical product is maintained in a good state.

[0104] These information are not limited to a single product, and for multiple products, it is also possible to perform processes such as aggregation, comparison, and statistical analysis on the aggregated costs and performances and information similar thereto, and display the results.

[0105] Note that the person in charge (user) who formulates the maintenance schedule can switch between and display the first screen, which is the maintenance schedule viewing screen 1101 as shown in FIG. 11, and the second screen, which is the maintenance schedule viewing screen 1101 as shown in FIG. 12. The person in charge (user) who formulates the maintenance schedule can transmit, via the Internet or the like, the maintenance schedule viewing screen 1101 as shown in FIG. 12, or the information thereof, or the method of obtaining the screen, to the purchaser or user (customer) of the machine product, particularly the person in charge (user) of the operation and maintenance of the machine product.

[0106] In this way, by inputting the assumed maintenance contract period as the analysis period and calculating the reproduction cost, performance, etc., it is possible to grasp the performance and maintenance cost during the maintenance contract period, and it is also possible to conclude a maintenance contract with the customer user while considering the maintenance contract period, maintenance cost, etc. That is, if it is a period during which the maintenance cost can be kept low, a low maintenance cost (maintenance fee) can be presented, the customer user can conclude a maintenance contract at a low cost, and the maintenance implementer can obtain a business opportunity.

Description of Signs

[0107] 1 Maintenance Optimization System 2 Product Configuration Information 3 Operation Information 4 Reproduction Information 5 Maintenance Information 6 Storage Device 10 Maintenance Optimization Device 11 Product Configuration Information Input Section 12 Operation Information Input Section 13 Reproduction Information Input Section 14 Maintenance Information Input Section 15 Key Information Input Section 16 Reproduction Cost Calculation Section 17 Cost Trend Calculation Section 18 Performance Trend Calculation Section 19 Maintenance Schedule Calculation Section 20 Maintenance Schedule Screen 101 CPU 106 Display 109 Keyboard 201 Product Design ID 202 Component Design ID 301 Product ID 1002 Input Product ID 1003 Recommended Maintenance Timing 1010 Analysis Period

Claims

1. A maintenance optimization system for the maintenance of industrial machinery products during continuous use, calculating reproduction cost information using product configuration information, operation information, and reproduction information, calculating cost trend information using the product configuration information, the operation information, and maintenance information, having a calculation unit that calculates performance trend information using the operation information and the maintenance information, wherein the calculation unit uses the reproduction cost information, the cost trend information, and the performance trend information to display on a display device the maintenance timing of a predetermined product and the trend of the profit related to maintenance Maintenance optimization system.

2. The maintenance optimization system according to claim 1, wherein the calculation unit calculates the profit from the regular maintenance income and replacement costs associated with the maintenance and the irregular reproduction costs Maintenance optimization system.

3. The maintenance optimization system according to claim 1, wherein the calculation unit receives an input of the predetermined product from a key information input unit Maintenance optimization system.

4. The maintenance optimization system according to claim 1, wherein the calculation unit calculates cost trend information with the start timing and end timing input to the key information input unit as the maintenance period, displays on the display device the trend of the profit during the maintenance period based on the cost trend information corresponding to the maintenance period, receives an input of the maintenance fee of the maintenance information from the key information input unit, Maintenance optimization system.

5. The maintenance optimization system according to claim 4, wherein the start timing is the timing after a lapse of time since the start of operation of the machinery product Maintenance optimization system.

6. The maintenance optimization system according to claim 1, wherein the reproduction information used by the calculation unit includes reproduction costs, and the reproduction costs are data in which the cost of reproduction increases stepwise with the operation time Maintenance optimization system.

7. The maintenance optimization system according to claim 1, wherein the calculation unit calculates the reproduction required time of the product based on the reproduction required time of the parts included in the reproduction information, and displays the reproduction required time on a display device Maintenance optimization system.

8. The maintenance optimization system according to claim 1, wherein the calculation unit performs a switching display between a first screen on which the maintenance timing and the trend of the profit are displayed and a second screen on which the maintenance timing and the trend of efficiency are displayed Maintenance optimization system.

9. A maintenance optimization system for the maintenance of industrial machinery products during continuous use, Calculate reproduction cost information using product composition information, operation information, and reproduction information, calculate cost trend information using the product composition information, the operation information, and maintenance information, have a calculation unit that calculates performance trend information using the operation information and the maintenance information, the calculation unit uses the reproduction cost information, the cost trend information, and the performance trend information to display the maintenance timing and the efficiency trend of a predetermined product on a display device Maintenance optimization system.

10. The maintenance optimization system according to claim 9, wherein the calculation unit, uses one of the operation information and the product composition information to display on a display device a performance trend that is one of the efficiency trends Maintenance optimization system.

11. The maintenance optimization system according to claim 9, wherein the calculation unit, uses the operation information, which is the measured product performance, to display on a display device a performance trend that is one of the efficiency trends Maintenance optimization system.

12. The maintenance optimization system according to claim 9, wherein the calculation unit, uses the product composition information including the design performance based on the parts constituting the product and the performance coefficient of the parts to display on a display device a performance trend that is one of the efficiency trends Maintenance optimization system.

13. The maintenance optimization system according to claim 12, wherein the calculation unit, calculates the performance by multiplying the design performance and the performance coefficient Maintenance optimization system.

14. A maintenance optimization device for the maintenance of industrial machinery products during continuous use, calculate reproduction cost information using product composition information, operation information, and reproduction information, calculate cost trend information using the product composition information, the operation information, and maintenance information, have a calculation unit that calculates performance trend information using the operation information and the maintenance information, the calculation unit uses the reproduction cost information, the cost trend information, and the performance trend information to display the maintenance timing and the profit trend related to maintenance of a predetermined product on a display unit Maintenance optimization device.

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