Container terminal maintenance management system and method

Abstract

To provide a system for maintaining and managing a container terminal and a method thereof which can grasp priority of maintenance at a container terminal in advance.SOLUTION: Relationship between an operation status of a container terminal 1 including an operation state of each facility 3 and in-coming and out-going numbers of the containers 2 and an income summary at the container terminal 1 is acquired in advance. An arithmetic processing unit 12 of a maintenance and management system 10 executes a step of, with reference to income summary of a state in which a maintenance and an entry / exit are carried out as scheduled in accordance with maintenance plan data D1 and entry and exit plan data D2 and the previously acquired relationship, carrying out data processing for predicting income summary in a state in which any maintenance is not carried out with respect to each of the maintenance processing scheduled in the maintenance plan data D1, and a step of carry out a maintenance approved based on each of predicted income summaries as an index as scheduled in the maintenance plan data D1.SELECTED DRAWING: Figure 2

Description

[Technical Field]

[0001] The present invention relates to a container terminal maintenance management system and method, and more particularly to a container terminal maintenance management system and method that can grasp in advance the advantages of maintenance planned at a container terminal. [Background technology]

[0002] A maintenance management system has been proposed that determines maintenance and inspection schedules based on the operating status and operation schedule of equipment at a container terminal (see Patent Document 1). As such, container terminals are moving forward with the introduction of predictive maintenance (condition-based maintenance) and periodic maintenance (time-based maintenance). However, container terminals have traditionally conducted periodic inspections (pre-use inspections, monthly inspections, annual inspections, etc.) in accordance with regulations such as the Industrial Safety and Health Act and the Crane Safety Regulations. Therefore, if the invention proposed in Patent Document 1 is applied to a container terminal, the combined use of conventional inspections and the newly introduced predictive maintenance and periodic maintenance will increase the costs required for maintenance at the container terminal.

[0003] Maintenance at a container terminal is ultimately approved and implemented by the user who operates the container terminal. Some users have a target budget for maintenance at a container terminal within a specified period, and if the budget exceeds the target, they may not be able to approve the scheduled maintenance. For such users, by showing in advance the advantages of implementing maintenance that would cause the budget to exceed the target, it is possible to effectively encourage them to implement maintenance even if the budget exceeds the target. Therefore, understanding the advantages of maintenance at a container terminal in advance is a way to predict improvements. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Japanese Patent Application Laid-Open No. 2002-7597 Summary of the Invention [Problem to be solved by the invention]

[0005] An object of the present invention is to provide a system and method for managing maintenance of a container terminal that can grasp the advantages of maintenance in the container terminal in advance. [Means for solving the problem]

[0006] The container terminal maintenance management system of the present invention, which achieves the above object, is provided with an auxiliary storage unit, a processing unit, and an output unit, in which maintenance plan data in which a large number of maintenances are scheduled for a large number of types of equipment in a container terminal and storage / retrieval plan data in which the number of containers to be stored and retrieved at the container terminal are scheduled, and in which the relationship between the operating status of the container terminal, including the operating status of each of the equipment and the number of containers to be stored and retrieved, and the profit and loss at the container terminal are input in advance to the auxiliary storage unit, and the maintenance of each of the maintenance plan data is authorized. When approving, the calculation processing unit executes data processing to predict the profit and loss for each of the maintenance planned in the maintenance plan data when the operation situation is a situation in which the maintenance is not carried out, based on the profit and loss when the operation situation is a situation in which the maintenance plan data and the incoming / outgoing plan data are carried out as scheduled, based on the relationship between the maintenance plan data and the incoming / outgoing plan data that was input in advance, and outputs the predicted profit and loss to the output unit, and the approved maintenance is carried out as scheduled in the maintenance plan data using the profit and loss when the operation situation is a situation in which the maintenance plan data and the incoming / outgoing plan data are carried out as scheduled

[0007] The container terminal maintenance management method of the present invention uses maintenance plan data in which maintenance is planned for many types of facilities in the container terminal, and inbound / outbound plan data in which the number of containers to be inbound and outbound at the container terminal is planned, and when approving the maintenance of each of the maintenance plan data, To, The maintenance plan data; 、 The inventory planning data and , the operating status of each of the facilities, the operational status of the container terminal including the number of containers entering and leaving the warehouse, and the profit and loss of the container terminal Based on relationships and 、 A calculation processing unit predicts the profit and loss when the operational situation is one in which the maintenance planned in the maintenance plan data and the inventory receiving and shipping plan data are implemented as planned, based on the profit and loss when the operational situation is one in which the maintenance planned in the maintenance plan data is not implemented. Carry out the process , In the predicting step Each of the predicted profits and losses but Used as an indicator Be and approve or deny the implementation of each of the maintenance plans described in the maintenance plan data. but decision And , approved said conservation but The maintenance plan data is implemented as scheduled will be It is characterized by: [Effects of the Invention]

[0008] According to the present invention, by using the relationship previously determined by regarding the maintenance plan data and the inbound / outbound plan data as the operating status, it is possible to accurately predict the profit and loss of a container terminal in various situations depending on whether or not maintenance scheduled in the maintenance plan data is performed. This profit and loss is due to the time required to complete the number of loading and unloading operations based on the container inbound and outbound schedule in the inbound / outbound plan data (loading and unloading efficiency), and varies depending on the type and number of operating equipment. Therefore, by predicting the profit and loss of a container terminal in various situations depending on whether or not maintenance is performed, such as when the equipment to be maintained does not break down and when it does break down, and using the predicted profit and loss as an index, it is possible to grasp in advance the advantages of each maintenance scheduled in the maintenance plan data. [Brief explanation of the drawings]

[0009] [Figure 1] FIG. 1 is an explanatory diagram illustrating a container terminal. [Figure 2] FIG. 1 is an explanatory diagram illustrating an embodiment of a container terminal maintenance management system. [Figure 3] FIG. 2 is an explanatory diagram illustrating an example of maintenance plan data. [Figure 4] FIG. 2 is an explanatory diagram illustrating an example of maintenance plan reference data. [Figure 5] FIG. 2 is an explanatory diagram illustrating inventory planning data. [Figure 6] FIG. 1 is a flow chart illustrating the steps of an embodiment of a method for managing security in a container terminal. [Figure 7] FIG. 1 is an explanatory diagram illustrating a prediction model showing the relationship between the operational status of a container terminal and profit and loss. [Figure 8] 4 is an explanatory diagram illustrating an example of maintenance plan data in which approval or denial of each maintenance item in FIG. 3 has been determined. [Figure 9] FIG. 10 is an explanatory diagram illustrating an example of user inventory data. [Figure 10] FIG. 10 is an explanatory diagram illustrating an example of service provider inventory data. [Figure 11] FIG. 10 is a flow chart illustrating the procedure of a container terminal maintenance management method in Modification 1. [Figure 12] FIG. 10 is an explanatory diagram illustrating an example of a target value. [Figure 13] FIG. 2 is an explanatory diagram illustrating an example of budget data. [Figure 14] FIG. 10 is a flow chart illustrating the procedure of a container terminal maintenance management method in Modification 2. [Figure 15] FIG. 10 is an explanatory diagram illustrating budget data in Modification 2. DETAILED DESCRIPTION OF THE INVENTION

[0010] Hereinafter, a container terminal maintenance management system and method of the present invention will be described based on an embodiment shown in the drawings.

[0011] First, a container terminal 1 illustrated in FIG. 1 will be described.

[0012] The container terminal 1 serves as a logistics hub by temporarily storing containers 2. Many types of equipment 3 are operated in the container terminal 1. The equipment 3 is composed of a single or multiple components 4. The equipment 3 is, for example, various known cranes and on-site chassis that handle the containers 2. The equipment 3 is, for example, power supply equipment that supplies power to reefer containers, lighting equipment installed in various locations in the container terminal 1, and gate devices installed at the entrances and exits of the container terminal 1. The equipment 3 may also include storage areas such as storage lanes.

[0013] In the container terminal 1, an inventory of parts 4 used for maintenance work at each piece of equipment 3 is managed. The inventory of parts 4 is stored, for example, in a storehouse inside the administration building 7 or in containers 2a that are not shipped from the container terminal 1. That is, in the container terminal 1, there are containers 2 that are treated as cargo and containers 2a that are not treated as cargo and store the inventory of each part 4. The containers 2a are transported to the location where maintenance is to be performed by equipment 3 such as cranes and on-site chassis. Therefore, the containers 2a are scattered throughout the container terminal 1.

[0014] Containers 2 are brought into the container terminal 1 from the outside by ships 5 or foreign chassis 6, and are taken out from the container terminal 1 to the outside. Therefore, the number of containers 2 coming in and out of the container terminal 1 depends on the arrival and departure status of the ships 5 and foreign chassis 6.

[0015] The management building 7 is equipped with a maintenance management system 10 and a cargo handling management system 11 according to this embodiment. Details of each system will be described later, but the maintenance management system 10 manages maintenance at the container terminal 1, and the cargo handling management system 11 manages the cargo handling of containers 2 at the container terminal 1.

[0016] The container terminal 1 is managed and operated by a user. The user is an organization that manages and operates the container terminal 1, and the same user may manage and operate multiple different container terminals 1, or multiple different users may manage and operate multiple container terminals 1 individually. Various services at the container terminal 1 (such as manufacturing and selling the equipment 3 and preparing for maintenance of the equipment 3) are provided by a service provider. The service provider is an organization that manufactures and sells the equipment 3. The maintenance management system 10 and cargo handling management system 11 are manufactured and sold by the service provider. Maintenance of the container terminal 1 is approved by the user and carried out by maintenance workers who are requested by the user. The maintenance workers are made up of personnel from a maintenance company contracted by the user, personnel organized by the service provider, and personnel from manufacturers that manufacture and sell each part 4. For example, during inspections, maintenance workers are made up of personnel from a maintenance company, while during post-maintenance, maintenance workers are made up of personnel from the maintenance company, the service provider, and the manufacturer.

[0017] Next, a maintenance management system 10 illustrated in FIG. 2 will be described.

[0018] A container terminal maintenance management method is implemented using an embodiment of the maintenance management system 10. The maintenance management system 10 and the maintenance management method are used by a user who manages and operates the container terminal 1 to carry out maintenance at the container terminal 1. That is, according to this embodiment, the user uses the maintenance plan data D1 illustrated in FIG. 3 and the inventory entry / exit plan data D2 illustrated in FIG. 5, which will be described later, to decide whether to approve or disapprove each maintenance scheduled in the maintenance plan data D1. At the container terminal 1, the approved maintenance is carried out as scheduled in the maintenance plan data D1.

[0019] Maintenance at the container terminal 1 includes inspections, preventive maintenance (predictive maintenance, periodic maintenance), corrective maintenance, and corrective maintenance. Inspections are carried out based on predetermined rules such as the Industrial Safety and Health Act and Crane Safety Regulations. Inspections include periodic inspections such as pre-use inspections, monthly inspections, and annual inspections, as well as inspections after disasters (earthquakes). Preventive maintenance includes periodic maintenance (time-based maintenance) and predictive maintenance (condition-based maintenance). Periodic maintenance is carried out for each piece of equipment 3 after a specified period or number of uses (for example, three months, one year, five years, or 100,000 loading and unloading operations). Predictive maintenance monitors the condition of each piece of equipment 3, predicts signs of failure, and is carried out before a failure actually occurs. Corrective maintenance is carried out unexpectedly for equipment 3 that has actually failed. Corrective maintenance is design improvement or equipment improvement such as preventing deterioration of equipment 3 or recovering from deterioration in order to maintain the performance of equipment 3, and is carried out in conjunction with other maintenance such as periodic maintenance, predictive maintenance, and corrective maintenance, or it is carried out alone.

[0020] The maintenance management system 10 is configured with a computer, into which various data are input and stored, and performs data processing using the data. The maintenance management system 10 can use various known computers. Various known servers, such as physical servers and virtual servers, can also be used as the computer. The maintenance management system 10 can be installed in the container terminal 1 or outside the container terminal 1. The maintenance management system 10 has a central processing unit (CPU) 12, a main memory unit (memory) 13, an auxiliary memory unit (e.g., HDD) 14, an input unit (keyboard, mouse) 15, and an output unit (display) 16. The auxiliary memory unit 14 stores maintenance plan data D1, exemplified in FIG. 3 and inventory data D2, exemplified in FIG. 5, which will be described later. Although not shown, the auxiliary memory unit 14 also stores maintenance plan reference data D0, user inventory data D3, and service provider inventory data D4, exemplified in FIGS. 4, 9, and 10, which will be described later.

[0021] The maintenance management system 10 manages the maintenance of each facility 3 in the container terminal 1. The maintenance management system 10 creates maintenance plan data D1 and executes data processing to carry out the maintenance approved by the user as scheduled from among the maintenance items listed in the created maintenance plan data D1. Details of the maintenance plan data D1 and the method for creating it will be described later.

[0022] The cargo handling management system 11 manages the containers 2 and each facility 3 at the container terminal 1. The cargo handling management system 11 can use a known computer, such as a terminal operation system. The cargo handling management system 11 creates the warehousing / receiving plan data D2 by using various known methods for planning the warehousing / receiving of containers 2.

[0023] The maintenance management system 10 and the cargo handling management system 11 are connected to each other so that they can communicate with each other. The maintenance management system 10 and the cargo handling management system 11 may be connected to each other via the same network (LAN), or may be connected to each other via a wide area network (WAN) in which multiple networks are connected to each other via an internet router, or may be connected to each other via the internet. It is desirable that the maintenance management system 10 and the cargo handling management system 11 are separate computers, but they can also be integrated into a single computer.

[0024] The maintenance plan data D1 shown in Fig. 3 is created by the maintenance management system 10 and stored in the auxiliary storage unit 14. The maintenance plan data D1 includes plans for maintenance of many types of equipment 3 in the container terminal 1. While the actual maintenance plan data D1 includes plans for maintenance implementation dates and periods several years in the future, Fig. 3 shows a maintenance schedule including implementation dates and periods within one month.

[0025] More specifically, the maintenance plan data D1 accumulates maintenance schedules for each piece of equipment 3 (Crane No. 1, Crane No. 2, ..., Crane No. n, ..., Yard Chassis No. m, ..., Lighting Device No. i, ..., Storage Lane No. j, ...) listed in the leftmost column of the table in Figure 3. The maintenance schedule includes the details of each maintenance (inspection, periodic maintenance, predictive maintenance, corrective maintenance, corrective maintenance, etc.), the implementation date and period (YYYY / MM / DD, etc.), and the planned end-of-life date (YYYY / MM / DD) of the equipment 3 or part 4 to be maintained. Details of the maintenance content are listed in parentheses in Figure 3. It is sufficient to understand the work content when the maintenance is performed. For example, the name of the equipment 3 or part 4 to be maintained is listed. The inspection content varies for each preset period (e.g., before use, monthly (1 month), annually (1 year)), so the period is also listed. For details related to predictive maintenance, scheduled maintenance, corrective maintenance, and corrective maintenance, the name of the equipment 3 or part 4 that will be the target of the work is listed. For maintenance other than predictive maintenance and scheduled maintenance, the planned end of service life date is not listed, as indicated by "-" in Figure 3. The implementation date and implementation period for each maintenance item are listed as "YYYY / MM / DD" or "YYYY / MM / DD~YYYY / MM / DD," but in reality, the implementation date and the start and end dates of the implementation period are listed.

[0026] The schedule for each maintenance operation in the maintenance plan data D1 is determined by the maintenance management system 10, but may also be determined manually by a user or a service provider, or a combination of determinations by the maintenance management system 10 and manual determinations may be used. For example, schedules for inspections, predictive maintenance, and periodic maintenance are determined by the maintenance management system 10 according to standards set in advance for the date and period of operation. The standards for the date and period of operation can be set arbitrarily depending on each type of maintenance. In addition, schedules for corrective maintenance and corrective maintenance are determined by manually inputting information about equipment 3 and parts 4 that have broken down or are scheduled to be improved into the maintenance management system 10.

[0027] The maintenance plan reference data D0 illustrated in FIG. 4 is used to determine schedules for inspections, predictive maintenance, and periodic maintenance. The maintenance plan reference data D0 is stored in the auxiliary memory unit 14 of the maintenance management system 10. The maintenance plan reference data D0 has periods and thresholds left blank only the first time, and is created by manually filling in these blanks using the input unit 15 of the maintenance management system 10. These blanks are generally filled in by the user, but for predictive maintenance and periodic maintenance, they may be filled in by a service provider. The maintenance plan reference data D0 accumulates the maintenance content, standard periods, and thresholds for each part 4 of each facility 3. The periods and thresholds of the maintenance plan reference data D0 can be changed as appropriate.

[0028] Specifically, the maintenance plan reference data D0 is divided into inspections, predictive maintenance, and periodic maintenance for the equipment 3 (cranes, yard chassis, lighting equipment, etc.) and parts 4 (wire ropes, motors, etc.) shown in the two left columns of the table in Figure 4. The data also includes maintenance periods and thresholds for each maintenance period (before use, monthly (1 month), annually (1 year), number of loading / unloading operations: XX times, etc.). The inspection periods are based on predefined rules such as the Industrial Safety and Health Act and the Crane Safety Regulations. The periodic maintenance thresholds vary for each part 4. For example, the number of loading / unloading operations is used for wire ropes, and the running time is used for running gear motors. Regarding periodic maintenance thresholds, values ​​recommended by the manufacturers of parts 4 can be used as a reference, but users and service providers can also use values ​​based on their accumulated knowledge. The thresholds for predictive maintenance can be set arbitrarily. Regarding the threshold value for predictive maintenance, for example, if the deterioration level of part 4 when it is new is 0 and the deterioration level of part 4 when it has reached its usage limit is 100, then the deterioration level is approximately 80. In other words, the deterioration level of equipment 3 or part 4 used in equipment 3 is predicted based on the operating status of that equipment 3, and the date and time when the predicted deterioration level is predicted to exceed the set threshold becomes the expected usage limit date.

[0029] While inspections require periodic setting, the deadlines and thresholds for periodic maintenance and predictive maintenance are optional. In other words, users can choose whether to perform only periodic maintenance, only predictive maintenance, both periodic and predictive maintenance, or neither for each piece of equipment 3, in conjunction with inspections. To ensure stable operation of the container terminal 1, it is desirable to perform both periodic and predictive maintenance in addition to inspections. However, performing both periodic and predictive maintenance increases the operating costs of the container terminal 1. Therefore, each maintenance item scheduled in the maintenance plan data D1 includes inspections, corrective maintenance, and corrective maintenance. It is recommended to select whether each item of maintenance includes predictive maintenance and / or periodic maintenance before creating the maintenance plan data D1. This allows users to select the type of maintenance, increasing flexibility in maintenance at the container terminal 1 and enabling the creation of maintenance plans that take operating costs into account.

[0030] Schedules for predictive maintenance and periodic maintenance are determined using the maintenance plan reference data D0, for example, as follows: First, the operating status of each piece of equipment 3 (or component 4) is acquired. The operating status is acquired by sensors installed in each piece of equipment 3 in the container terminal 1, accumulated in the cargo handling management system 11, and transmitted to the maintenance management system 10. If each sensor is electrically connected to the maintenance management system 10, the operating status may be acquired directly by the maintenance management system 10 without going through the cargo handling management system 11. The operating status may be ultimately stored in the auxiliary memory unit 14 of the maintenance management system 10, or may be accumulated in a computer separate from the cargo handling management system 11 using each sensor and transmitted to the maintenance management system 10. The operating status may also be manually input into the maintenance management system 10. The manual acquisition of the operating status uses daily work reports from the container terminal 1 and inspection results of each piece of equipment 3, for example. Next, the maintenance management system 10 determines schedules for predictive maintenance and periodic maintenance based on the acquired operating status of each piece of equipment 3 and the maintenance plan reference data D0. Specifically, the maintenance management system 10 predicts the planned end-of-life date of the equipment 3 or the component 4 based on the acquired operating status and the period and threshold of the maintenance plan reference data D0, and sets the implementation date and period before the predicted end-of-life date. Various known prediction models using machine learning can be used to set the schedule for predictive maintenance and periodic maintenance.

[0031] As described above, the maintenance plan data D1 describes the maintenance schedule for each piece of equipment 3 in the container terminal 1. Equipment 3 for which maintenance has been performed cannot operate during the period in which the maintenance is being performed. In other words, the maintenance plan data D1 can be considered to indicate the operating status of each piece of equipment 3 on a daily basis in the container terminal 1 in the future.

[0032] 5 is created by the cargo handling management system 11, is used for managing the containers 2 in the cargo handling management system 11, and is also stored in the auxiliary storage unit 14 of the maintenance management system 10. The cargo handling plan data D2 includes a schedule of the number of containers 2 to be received and sent to the container terminal 1 on a daily basis.

[0033] More specifically, the inventory entry / exit plan data D2 is expressed as a frequency distribution with the horizontal axis representing date and time and the vertical axis representing the number of entries and exits. In FIG. 5, the open bars represent the number of entries and exits by vessel 5, and the diagonal bars represent the number of entries and exits by external chassis 6. The number of entries and exits is represented as a positive number for the entry of containers 2 into the container terminal 1 and a negative number for the exit of containers 2 from the container terminal 1. The total number of entries and exits per day is roughly proportional to the number of cargo handling operations at the container terminal 1 (the number of operations using container handling equipment 3 such as cranes). In other words, the inventory entry / exit plan data D2 represents the number of cargo handling operations (the number of operations using cargo handling equipment such as cranes) predicted for each day at the container terminal 1.

[0034] The number of incoming and outgoing shipments per day depends on the arrival and departure status of ships 5 and foreign chassis 6, and increases as the number of arrivals and departures increases, and decreases as the number of arrivals and departures decreases. The number of incoming and outgoing shipments is mainly influenced by the arrival and departure status of ships 5. This number of incoming and outgoing shipments is predicted by the cargo handling management system 11 based on the arrival and departure status of ships 5 and foreign chassis 6. The incoming and outgoing shipment plan data D2 is not limited to frequency distribution, and may be, for example, management data that collects various data related to the management of containers 2 at the container terminal 1.

[0035] Next, the method of maintaining and managing the container terminal will be explained.

[0036] FIG. 6 shows an example of the procedure of an embodiment of the maintenance management method. In this procedure, first, the relationship between the operational status of the container terminal 1, including the operating status of each facility 3 and the number of containers 2 entering and leaving the warehouse, and the profit and loss at the container terminal 1 is acquired in advance (S110). Next, the calculation processing unit 12 predicts the profit and loss for each maintenance item in the maintenance plan data D1 based on each piece of data and the previously acquired relationship (S120). Next, the predicted profit and loss is used as an index to determine whether to approve or reject each maintenance item (S130). Finally, the approved maintenance item is carried out as scheduled in the maintenance plan data D1 (S140). The contents of each step (S110 to S140) are described in detail below.

[0037] In step (S110), the relationship between the operational status of the container terminal 1, including the operating status of each piece of equipment 3 and the number of containers 2 entering and leaving the warehouse, and the profit and loss at the container terminal 1 is acquired in advance during the course of operating the container terminal 1. This step (S110) can be executed at any timing before deciding whether to approve or reject each maintenance item in the maintenance plan data D1. Furthermore, this step (S110) can be omitted because once the relationship between the operational status and the profit and loss is acquired and stored in the auxiliary memory unit 14 of the maintenance management system 10, the stored relationship can be used from the next time onwards.

[0038] The profit and loss indicates the degree of profit or loss (the degree of loss compared to the standard) based on the situation where the inventory entry / export plan data D2 is carried out as scheduled. The inventory entry / export plan data D2 indicates an ideal operating situation where there are no delays in the arrival and departure of ships 5 and external chassis 6, and where each piece of equipment 3 at the container terminal 1 is available for use. At the container terminal 1, there are cases where not all of the equipment 3 is available for use due to maintenance work being carried out. Therefore, the actual profit and loss at the container terminal 1 is generally a loss compared to the inventory entry / export plan data D2. The longer it takes to complete the number of cargo handling operations based on the inventory entry / export data D2 (the lower the cargo handling efficiency at the container terminal 1), the greater the loss, and the shorter the time it takes to complete the number of cargo handling operations, the smaller the loss. The profit and loss can be calculated in any time unit, for example, daily, weekly, monthly, etc.

[0039] Profit and loss can be expressed as the difference between the time required to complete the same number of cargo handling operations under a standard condition and the time required to complete the same number of cargo handling operations under a specified condition. Profit and loss can also be expressed as the difference between the cargo handling efficiency under a standard condition and the cargo handling efficiency under a specified condition for the same period. Furthermore, profit and loss can be converted into a monetary value. The profit and loss amount can include various types of amounts and can be set appropriately. Examples of profit and loss amounts include the cost of the ship 5 being moored and the cost of the incoming chassis 6 temporarily storing the container 2 in a temporary storage facility outside the container terminal 1 and then bringing the temporarily stored container 2 into the container terminal 1. The temporary storage facility is a facility installed near the container terminal 1 to alleviate congestion of the incoming chassis 6 that cannot enter the container terminal 1 due to delays in operations at the container terminal 1. The container 2 temporarily stored in the temporary storage facility must be brought into the container terminal 1 using a different chassis, which incurs transportation costs for the different chassis and maintenance and management costs for the temporary storage facility. Furthermore, the profit and loss amount can be calculated by converting into a monetary value situations that cannot actually be calculated as a profit and loss amount. For example, the decline in reliability due to irregular operation of the ship 5 can be converted into a profit and loss amount. In this way, it is preferable to express profit and loss in monetary value. For example, the time required to complete the number of cargo handling operations or the difference in cargo handling efficiency can be converted into a monetary value. Expressing profit and loss in monetary value is more advantageous in understanding the cost-effectiveness of maintenance. Note that the profit and loss may, but does not have to, include the costs required for maintenance scheduled in the maintenance plan data D1.

[0040] Profit and loss varies depending on the operational status of the container terminal 1. More specifically, profit and loss varies in a complex relationship between the operational status of each piece of equipment 3 at the container terminal 1 and the number of containers 2 being loaded and unloaded. If the number of containers 2 being loaded and unloaded (number of loading and unloading operations) is the same, the fewer the number of operable pieces of equipment 3, the greater the loss, and vice versa. In this way, profit and loss at the container terminal 1 is intricately influenced by the operational status of the container terminal 1, which is the operational status of the container terminal 1, the operational status of each piece of equipment 3 and the number of containers 2 being loaded and unloaded.

[0041] The prediction model 18 illustrated in FIG. 7 is constructed by machine learning using training data 19, and represents the relationship between the operational status of the container terminal 1 and profit and loss. The prediction model 18 is a type of computer program that predicts the profit and loss of the container terminal 1 based on the operational status of the container terminal 1. Various known machine learning techniques can be used to construct the prediction model 18. Examples of machine learning algorithms include logistic regression, support vector machines, decision trees, random forests, neural networks (convolutional neural networks, recurrent neural networks, residual networks, etc.), naive Bayes, and k-nearest neighbor methods. Another example is ensemble learning that uses multiple algorithms.

[0042] When constructing the prediction model 18, training data 19 is used. This training data 19 can be either labeled or unlabeled. For example, the labeled training data 19 can be an influence level set for each piece of equipment 3. The influence level indicates the degree of influence on changes in the time required to complete the number of loading / unloading operations at the container terminal 1 (loading / unloading efficiency). When equipment 3 with a low influence level is not in operation, there is little change in the time required to complete the number of loading / unloading operations at the container terminal 1 (loading / unloading efficiency). However, when equipment 3 with a high influence level is not in operation, there is a significant change (significant decrease) in the time required to complete the number of loading / unloading operations at the container terminal 1 (loading / unloading efficiency). Examples of equipment 3 with a high influence level include cranes and storage lanes. The degree of influence is generally understood from the vast amount of data obtained during the operation of the container terminal 1 accumulated by users and service providers, the accumulated results of experiments, tests, computer simulations, etc. Therefore, using the above-mentioned knowledge of users and service providers, the impact level set for each facility 3 can be used as labeled training data 19. Unlabeled training data 19 can be obtained from the vast amount of data obtained in the course of operation of the container terminal 1 accumulated by the above-mentioned users and service providers, or from accumulated results of experiments, tests, computer simulations, etc. When expressing profit and loss in monetary terms, it is advisable to convert the change in the time required to complete the number of cargo handling operations at the container terminal 1 (cargo handling efficiency) into monetary terms in the training data 19. In this way, a prediction model 18 constructed by machine learning using the training data 19 predicts the change in the time required to complete the number of cargo handling operations at the container terminal 1 (cargo handling efficiency) according to the operational status as profit and loss.

[0043] The profit and loss predicted by the prediction model 18 is influenced in a complex way by the operational status of the container terminal 1, which is influenced by the operating status of each piece of equipment 3 and the number of containers 2 being loaded and unloaded. The constructed prediction model 18 is constructed by machine learning using training data 19 that conforms to the actual situation of the container terminal 1, so the relationship between the operational status of the container terminal 1 and profit and loss is linked, and the impact of the operational status of the container terminal 1 on profit and loss is analyzed and evaluated. Therefore, the respective profit and loss output from the prediction model 18 to which different operational statuses have been input accurately represent the change in the time required to complete the number of loading and unloading operations (loading and unloading efficiency) in each case of differences in the operational status of the container terminal 1, which are caused by differences in the operating status of each piece of equipment 3 and the number of containers 2 being loaded and unloaded.

[0044] The relationship between the operational status of the container terminal 1 and profit and loss is not limited to the prediction model 18 constructed by machine learning. The relationship can also be obtained by a simulation in which the container terminal 1 is modeled.

[0045] In step (S120), the calculation processing unit 12 executes data processing to predict profit and loss in the case where the operating situation is one in which each maintenance item in the maintenance plan data D1 is not implemented, based on the relationship (prediction model 18) between the maintenance plan data D1 and the incoming / outgoing plan data D2 that has been acquired in advance. Specifically, the calculation processing unit 12 predicts profit and loss by regarding each piece of data in the maintenance plan data D1 and the incoming / outgoing plan data D2 as the operating situation of the container terminal 1. In predicting profit and loss, the calculation processing unit 12 predicts profit and loss in the case where the operating situation is one in which each maintenance item scheduled in the maintenance plan data D1 is not implemented, based on the profit and loss in the case where the operating situation is one in which each piece of maintenance item in the maintenance plan data D1 is implemented as scheduled.

[0046] The circumstances under which maintenance is not performed vary depending on the type of maintenance. Since inspections are always performed, there are no circumstances under which inspections are not performed. When predictive maintenance or scheduled maintenance is not performed, there is a high possibility that the equipment 3 targeted by that predictive maintenance or scheduled maintenance will fail on its planned end-of-life date. Therefore, when predictive maintenance or scheduled maintenance is not performed, the situation in which the target equipment 3 fails on its planned end-of-life date in the maintenance plan data D1 is used as the operating situation. When predictive maintenance or scheduled maintenance is not performed, corrective maintenance is scheduled and performed after the target equipment 3 fails on its planned end-of-life date. Therefore, the period during which the target equipment 3 cannot be used in an operating situation in which predictive maintenance or scheduled maintenance is not performed is longer than the period during which the target equipment 3 cannot be used in an operating situation in which predictive maintenance or scheduled maintenance is performed. Thus, the predicted profit and loss when predictive maintenance or scheduled maintenance is not performed varies depending on the equipment 3 targeted by that predictive maintenance or scheduled maintenance, but the loss is larger than the predicted profit and loss when predictive maintenance or scheduled maintenance is performed.

[0047] In a situation where corrective maintenance is not performed, the broken equipment 3 cannot be operated. Therefore, in a situation where corrective maintenance is not performed, a situation where the target equipment 3 is not in operation is used as the operating situation. Therefore, the profit and loss predicted in a situation where corrective maintenance is not performed will be larger than the profit and loss predicted in a situation where corrective maintenance is performed.

[0048] Even if corrective maintenance is not performed, there is a low possibility of a sudden breakdown occurring in the equipment 3 that is the target of that corrective maintenance. A situation in which corrective maintenance is not performed is used as an operating situation in which the target equipment 3 does not break down, just like a situation in which regular maintenance is not performed. In other words, the target equipment 3 cannot be operated when corrective maintenance is performed, and the target equipment 3 can be operated when corrective maintenance is not performed, so the profit and loss predicted in a situation in which corrective maintenance is not performed is smaller than the profit and loss predicted in a situation in which corrective maintenance is performed.

[0049] As described above, the circumstances under which each maintenance item in the maintenance plan data D1 will not be performed vary depending on the type of maintenance, and the predicted profit and loss in each situation also differs. Since inspections are required by regulation, there is no need to predict profit and loss. Therefore, in this step (S120), it is advisable to predict profit and loss for the remaining maintenance items excluding inspections from the maintenance plan data D1. Furthermore, in this step (S120), it is also possible to predict only profit and loss for predictive maintenance and periodic maintenance, which result in a greater difference in profit and loss between when maintenance is not performed and when it is performed.

[0050] In step (S130), the predicted profits and losses are used as indicators to determine whether to approve or reject each maintenance item in the maintenance plan data D1. Specifically, the maintenance plan data D1a shown in FIG. 8, which will be described later, is output to the output unit 16 of the maintenance management system 10. The output maintenance plan data D1a includes a field for inputting approval or rejection of each maintenance item. Approval or rejection is entered into that field by the input unit 15.

[0051] The maintenance plan data D1a shown in FIG. 8 has the profit and loss predicted in step (S120) for each maintenance operation in the maintenance plan data D1 shown in FIG. 3 added. This maintenance plan data D1a also reflects the results of step (S130). Specifically, the maintenance plan data D1a lists the maintenance schedule for each piece of equipment 3 in the leftmost column of the table in FIG. 8, the profit and loss predicted by the prediction model 18 in a situation where that maintenance operation is not performed, and approval or rejection. While each profit and loss is abbreviated by "..." in FIG. 8, the actual amount is the converted amount. Note that the profit and loss due to a breakdown of equipment 3 in a situation where maintenance is not performed is the profit and loss that will occur until the equipment 3 becomes usable.

[0052] In step (S140), the maintenance approved in the maintenance plan data D1a is carried out according to the schedule in the maintenance plan data D1. The implementation of the maintenance includes preparations made before the maintenance is carried out. In this preparation, the maintenance management system 10 procures the parts 4 and maintenance workers related to the maintenance.

[0053] To explain the preparation in detail, the procurement of the parts 4 is performed according to the following procedure. First, the processing unit 12 identifies the parts 4 required for the approved maintenance and executes data processing to check the inventory of the identified parts 4. Next, the processing unit 12 executes data processing to procure the parts 4 using electronic commerce (EC). The maintenance details in the maintenance plan data D1a are used to identify the parts 4. The inventory of the parts 4 is checked using user parts data D3 illustrated in FIG. 9 and service provider parts data D4 illustrated in FIG. 10, which will be described later. Various known electronic commerce methods, such as BtoB-EC and BtoC-EC, can be used for the electronic commerce. The data processing to procure the parts 4 by the processing unit 12 is not limited to those using electronic commerce. For example, the data processing may be data processing in which the processing unit 12 creates an estimate or purchase order and outputs the created estimate or purchase order to the output unit 16.

[0054] The user parts data D3 shown in FIG. 9 is stored in the auxiliary memory unit 14 of the maintenance management system 10. The user parts data D3 contains the inventory status of many types of parts 4 held by the user. In more detail, the user parts data D3 accumulates the inventory quantity and storage location for each of the parts 4 (motor, ..., wire rope, ...) listed in the leftmost column of the table in FIG. 9. In FIG. 9, some of the parts 4, inventory quantity, and storage location are abbreviated with "...", but in reality, the name, quantity, and location coordinates (or address at the container terminal 1) of the parts 4 are listed.

[0055] The inventory quantity in the user parts data D3 may be directly input by the user to the maintenance management system 10 via the input unit 15 based on the history of the arrival and use of the parts 4, or may be reflected by the calculation processing unit 12 as the results of maintenance work based on the maintenance plan data D1a or the results of e-commerce transactions. Depending on the part 4, the storage period may be extended, which may result in a deterioration in the durability or performance of the part 4. Therefore, it is advisable to record the storage period in the user parts data D3. Since the unique identification number of each part 4 is required to record the storage period, this identification number should also be recorded. Recording the storage period in the user parts data D3 makes it possible to select parts 4 with longer storage periods to use for maintenance, thereby effectively avoiding prolonged storage periods.

[0056] The storage location can be directly input by the user to the maintenance management system 10 via the input unit 15, or it can be automatically acquired by the processing unit 12. In the container terminal 1 shown in FIG. 1 , the parts 4 owned by the user are stored in a container 2b, which contains the inventory of each part 4, without being treated as cargo, in addition to the storage in the management building 7. The location of the parts 4 stored in the storage in the management building 7 can be easily identified. The processing unit 12 can use various known radio wave positioning devices to identify the location of the container 2b, such as a global navigation satellite system (GNSS), beacon positioning, ultra-wideband (UWB) positioning, or indoor positioning systems (IPS) such as IEEE 802.11 wireless LAN positioning, as well as RFID. For example, a pallet equipped with a global navigation satellite system antenna is used, and the container 2b is stored on this pallet. Once the parts 4 stored in the container 2b have been identified, the processing unit 12 can automatically acquire the storage location of the parts 4 by acquiring the position coordinates received by the antenna. The container 2b containing the parts 4 will be moved when maintenance is performed, and it would be time-consuming for the user to directly input the location into the maintenance management system 10 each time. By having the calculation processing unit 12 automatically acquire the storage location of the parts 4 using a radio wave positioning device, it becomes possible to constantly grasp the storage location of the parts 4 in the container terminal 1. This allows the parts 4 to be quickly prepared when maintenance is performed.

[0057] The service provider parts data D4 shown in FIG. 10 is stored in the auxiliary storage unit 14 of the maintenance management system 10. The service provider parts data D4 contains the inventory status of many types of parts 4 held by the service provider. In more detail, the service provider parts data D4 accumulates the inventory quantity, delivery date, and cost for each of the parts 4 (motor, ..., wire rope, ...) listed in the leftmost column of the table in FIG. 10. In FIG. 10, some of the parts 4, inventory quantity, delivery date, and cost are abbreviated with "...", but in reality, the name, quantity, period, and price of the part 4 are listed.

[0058] The inventory quantity, delivery time, and cost in the parts data D4 are directly input by the service provider into the maintenance management system 10 using the input unit 15. The delivery time and cost are the delivery time and cost when the parts 4 are delivered from the service provider to the user. Parts 4 include general-purpose parts 4 manufactured and sold by manufacturers, as well as specialized parts 4 that are made by processing these general-purpose parts 4. The delivery time and cost of specialized parts 4 take into account the purchasing status of general-purpose parts 4 from manufacturers. Therefore, for specialized parts 4, the delivery time and cost may be listed even if the part is out of stock.

[0059] In addition to the above-mentioned user parts data D3 and service provider parts data D4, manufacturer parts data containing the inventory status of parts 4 held by manufacturers can also be used to check the inventory of parts 4. The manufacturer parts data accumulates the inventory quantity, delivery time, and cost of general-purpose parts 4 held by manufacturers.

[0060] In electronic commerce, quotations and orders for parts 4 are output to the output unit 16 of the maintenance management system 10, and the user inputs the information via the input unit 15, thereby trading parts 4. External e-commerce sites can also be used in electronic commerce. When quotations and orders for parts 4 are made in electronic commerce, multiple quotations can be output depending on the inventory situation. For example, the cost of parts 4 held by a manufacturer may be cheaper than the cost of parts 4 held by a service provider, but the delivery date for parts 4 held by the service provider may be earlier than the delivery date for parts 4 held by the manufacturer. In such cases, both quotations can be presented to the user.

[0061] The procurement of maintenance workers is performed according to the following procedure. First, the calculation processing unit 12 executes data processing to identify the number of maintenance workers required for the approved maintenance work. Next, the calculation processing unit 12 executes data processing to notify a maintenance worker dispatch company that the identified number of service personnel will be secured. The maintenance content in the maintenance plan data D1a is used to identify the number of personnel. A known communication means such as email can be used to notify the dispatch company.

[0062] As described above, according to this embodiment, by regarding the maintenance plan data D1 and the shipping / receiving plan data D2 as the operating status of the container terminal 1 and using the prediction model 18 that indicates the relationship between the operating status and profit and loss acquired in advance, it is possible to accurately predict the profit and loss of the container terminal 1 in various situations depending on whether or not maintenance scheduled in the maintenance plan data D1 is performed. This profit and loss is due to the time required to complete the number of container 2 handling operations at the container terminal 1 (handling efficiency) and varies depending on the type and number of operating facilities 3. Therefore, by predicting the profit and loss of the container terminal 1 in various situations, such as when the equipment 3 to be maintained does not break down or when it does break down, depending on whether or not maintenance is performed, and using the predicted profit and loss as an index, it is possible to grasp in advance the advantages of each maintenance scheduled in the maintenance plan data D1. As a result, if the option of performing maintenance is advantageous, by approving the maintenance and performing it as scheduled, it is possible to effectively avoid losses that could be predicted if maintenance were not performed.

[0063] The profit and loss for each predicted maintenance will generally be a loss compared to the standard. This loss can be considered as the profit gained by carrying out the planned maintenance and avoiding the failure of the equipment 3 that is the target of that maintenance. Therefore, by using this loss as an index, even if the introduction of predictive maintenance exceeds the user's desired budget, it is possible to judge the appropriateness of the cost-effectiveness of the excess budget. R This contributes greatly to risk aversion.

[0064] Furthermore, by providing the option of rejecting scheduled maintenance and not performing it as scheduled in the maintenance plan data D1, the flexibility of maintenance scheduling at the container terminal 1 is increased. For example, a crane used at the container terminal 1 has multiple travel gear motors. Even if one of the multiple motors suddenly fails, the crane's travel will not stop, and although the loading and unloading efficiency will be reduced compared to a normal state, it does not mean that the container 2 cannot be loaded or unloaded at all. Therefore, depending on the container 2 loading and unloading situation, it may be advantageous to use the crane that is the target of maintenance without performing the scheduled maintenance in order to improve the loading and unloading efficiency at the container terminal 1. According to this embodiment, the profit and loss predicted by the prediction model 18 is in line with the actual situation of the container terminal 1. Therefore, when predictive maintenance is scheduled for the crane's travel gear motor, the predicted profit and loss for that predictive maintenance is estimated to be low. In this way, being able to determine whether or not to perform maintenance based on the profit and loss at the container terminal 1 greatly contributes to the management of the container terminal 1.

[0065] Rejected maintenance may be performed by modifying the schedule described in the maintenance plan data D1 in FIG. 3 . The user can modify the schedule for rejected maintenance as appropriate. However, depending on the type of maintenance, the schedule may not be rescheduled. For maintenance that cannot be rescheduled, the processing unit 12 may forcibly approve it in step S130. For example, inspections must be performed at predetermined intervals, and the schedule cannot be significantly modified. Corrective maintenance is maintenance for equipment 3 that has already broken down. The longer the maintenance is left unattended, the greater the loss due to the inability to use the broken equipment 3. On the other hand, depending on the equipment 3, postponing corrective maintenance can sometimes prevent a decrease in the cargo handling efficiency of the container terminal 1. For example, corrective maintenance for cranes is better performed promptly, while corrective maintenance for lighting equipment is not urgent. While corrective maintenance contributes to improving the cargo handling efficiency of the container terminal 1, corrective maintenance may significantly reduce the cargo handling efficiency of the container terminal 1 in the case of major renovations.

[0066] The risk of the predicted loss occurring increases as the planned service life limit date for predictive maintenance or scheduled maintenance approaches, and further increases after the planned service life limit date. Therefore, the number of days until the planned service life limit date may be used in addition to the predicted loss as an indicator for deciding whether to approve or reject the implementation of predictive maintenance or scheduled maintenance. In this way, by using the number of days until the planned service life limit date as an indicator, predictive maintenance or scheduled maintenance that has a higher risk of reaching the service life limit can be performed as scheduled, and predictive maintenance or scheduled maintenance that has a lower risk of occurring can be postponed.

[0067] The maintenance plan data D1 and the inventory / shipping plan data D2 are stored as independent data in the auxiliary storage unit 14 of the maintenance management system 10, but the maintenance plan data D1 and the inventory / shipping plan data D2 may be linked. Specifically, the processing unit 12 of the maintenance management system 10 executes data processing to change each scheduled maintenance in the maintenance plan data D1 so that the inventory / shipping plan data D2 can be carried out as scheduled. For example, during a period in which an increase in the number of containers 2 being imported or shipped due to the arrival or departure of ships 5 is predicted, maintenance that can be changed is identified from among the scheduled maintenance for that period, and the scheduled maintenance for the identified maintenance is changed to a time outside that period. This change makes it easier for fluctuations in the actual number of containers 2 being imported or shipped at the container terminal 1 to approximate fluctuations in the number of containers 2 being imported or shipped at the container terminal 1 to match the fluctuations in the scheduled number of containers being imported or shipped at the container terminal 1 in the inventory / shipping plan data D2. In this way, the maintenance plan data D1 may take into account the impact on the number of cargo handling operations at the container terminal 1 based on the inventory / shipping plan data D2.

[0068] Next, a first modification of the container terminal maintenance management system and method shown in FIG. 11 will be described.

[0069] In the procedure of the maintenance management method of Modification 1, additional steps (S210, S220) are added to the procedure of Fig. 6 described above. That is, in the procedure of Modification 1, first, a target value D5 of the budget that can be spent on maintenance planned for a predetermined period is input in advance to the maintenance management system 10 (S210). Next, based on the maintenance plan data D1, the calculation processing unit 12 identifies an excess budget that exceeds the target value D5 within the budget for each predetermined period, and outputs the identified excess budget to the output unit 16 (S230). Therefore, in Modification 1, the user grasps the excess budget and compares it with the profit and loss stated in the maintenance plan data D1a, thereby deciding whether to approve or reject the maintenance incorporated in the excess budget (S130).

[0070] In step (S210), a user inputs a target value D5 into the maintenance management system 10. Specifically, the calculation processing unit 12 executes data processing to output an input screen for the target value D5 to the output unit 16, and the input unit 15 inputs a desired period and amount as the target value D5 onto the input screen. The desired period can be input as any number of days, or, for example, one year, the first half of the year, or the second half of the year, which includes multiple months, with one month as the input unit. The desired amount is a target value for the budget to be spent on the maintenance of the container terminal 1 for each desired period, and any amount can be input. The amount for a predetermined period is not limited to a single combination of period and amount. For example, two types of periods, one year and three months, may be input as the desired period, and the desired amount for each period may be input. Furthermore, the amount can be varied depending on the time period even for the same period. For example, the amount for the first three months of the year and the amount for the second three months of the year may be different. In this way, the target value D5 can be input according to the user's circumstances.

[0071] The target value D5 shown in FIG. 12 is input by the user into the maintenance management system 10. The target value D5 is a collection of combinations of periods and amounts desired by the user. In FIG. 12, two periods, one year and three months, are input, and the amounts for each input period are input. In FIG. 12, the amounts are abbreviated as "...", but in reality, the desired amounts are input. Note that when multiple periods are input, the amount for the shortest period among the input periods may be input, and the amounts for the other periods may be calculated based on the input amount.

[0072] In step (S220), the calculation processing unit 12 calculates a budget for each desired period input based on the maintenance plan data D1, identifies an excess budget that exceeds the target value D5 within the calculated budget, and executes data processing to output the identified excess budget. The calculated budget is the total cost of each maintenance project planned in the maintenance plan data D1 within the period input as the target value D5. The maintenance cost includes the cost required for the performed maintenance project, as well as the cost required in preparation for the maintenance project (the cost of procuring parts 4 and maintenance workers).

[0073] The excess budget is a budget calculated based on the maintenance plan data D1 that is deemed to exceed the amount entered as the target value D5. The calculated budget may differ from the actual costs required in the preparation stage because it uses the user parts data D3, service provider parts data D4, and the manufacturer's delivery time and costs at the time of budget calculation. Therefore, the excess budget should include not only the calculated budget that exceeds the amount entered as the target value D5, but also the budget that falls within a predetermined tolerance range for the amount. The tolerance range is, for example, approximately ±5% of the entered amount.

[0074] The budget data D6 illustrated in FIG. 13 is output to the output unit 16 of the maintenance management system 10. The budget data D6 includes the budget required for maintenance of the container terminal 1 for each period input as the target value D5. In more detail, the budget data D6 accumulates budgets for three-month periods (P1, P2, . . . , Pn) and budgets for one-year periods (P1 to P4, . . . , P(n-4) to Pn), and in the leftmost column of the table in FIG. 13, the excess budget that exceeds the amount input as the target value D5 is marked "excess." In FIG. 13, the budget for period P2 and the budget for periods P1 to P4 are excess budgets.

[0075] In the first modification, the output unit 16 outputs the maintenance plan data D1a in FIG. 8 and the budget data D6 in FIG. 13, allowing the user to compare the respective data. For example, the user can check the profit and loss of maintenance to be carried out during the period P2 in which the budget is exceeded using the maintenance plan data D1a and determine whether to approve the maintenance that is the cause of the budget exceedance. As described above, in the first modification, by identifying the excess budget that exceeds the target value D5 and outputting the identified excess budget, the user can be informed in advance of the advantages of carrying out the maintenance that is the cause of the exceedance. This effectively encourages the user to carry out maintenance even if the budget exceeds the target value D5.

[0076] In the first modification, by identifying the maintenance included in the surplus budget, in step (S120), the calculation processing unit 12 can also execute data processing to predict profit and loss in a situation where each maintenance included in the surplus budget is not implemented. That is, in the first modification, only the profit and loss for the maintenance included in the surplus budget may be predicted, and approval or rejection of the maintenance included in the surplus budget may be determined based on the predicted profit and loss.

[0077] In the first modification, if the budget for carrying out all maintenance work scheduled in the maintenance plan data D1 as scheduled falls within the range of the amount desired by the user, all maintenance work scheduled in the maintenance plan data D1, including the preparatory stages, is automatically carried out without the user having to make decisions one by one. This significantly reduces the burden on the user of maintenance-related work at the container terminal 1.

[0078] Furthermore, in the first modification, if there is no budget surplus, data processing for predicting losses in the arithmetic processing unit 12 is not required. Even if there is a budget surplus, only profits and losses are predicted for situations in which maintenance included in the budget surplus is not performed. This reduces the data processing load on the arithmetic processing unit 12. In predictive maintenance and periodic maintenance, the planned end-of-life date of the equipment 3 is predicted based on the operating status of the equipment 3, and this planned end-of-life date may be several years in the future. For example, the lifespan of electronic components such as inverters and programmable logic controllers is approximately 7 to 12 years. Therefore, the maintenance plan data D1 may include plans for predictive maintenance and periodic maintenance several years to over a decade in the future. It is also possible to predict profits and losses for each predictive maintenance and periodic maintenance in the maintenance plan data D1, but doing so would result in an excessive data processing load on the arithmetic processing unit 12. Therefore, limiting the maintenance for which profits and losses are predicted to those included in the budget surplus, as in the first modification, is advantageous in reducing the data processing load on the arithmetic processing unit 12.

[0079] Next, a second variation of the container terminal maintenance management system and method will be described.

[0080] In the procedure of the maintenance management method in Modification 2 shown in Fig. 14, another step (S310) is added to the procedure in Fig. 11 described above. That is, in the procedure of Modification 2, the calculation processing unit 12 equalizes the budget for each predetermined period based on the maintenance plan data D1 (S310). Therefore, in Modification 2, budget data D6a shown in Fig. 15 (described later) is output, and in this budget data D6a, the budget for each predetermined period is equalized compared to the budget data D6 in Fig. 13 described above.

[0081] In step (S310), the processing unit 12 calculates a budget for each desired period input based on the maintenance plan data D1, and performs data processing to level the calculated budget. In budget leveling, the amount input as the target value D5 is used as a reference, and the maintenance plan data D1 is updated so that the budget for each period approaches that amount. Specifically, the processing unit 12 identifies, from the calculated budget, an excess budget that exceeds the target value D5 and a deficit budget that is short of the target value D5. Next, the processing unit 12 identifies maintenance that can be included in the deficit budget (maintenance whose schedule can be changed) from the maintenance included in the excess budget, changes the schedule of the identified maintenance, and updates the maintenance plan data D1. The updated maintenance plan data D1 is used in subsequent data processing.

[0082] Whether or not a maintenance schedule can be changed and how much it can be changed differs depending on the type of maintenance. Inspections only need to be carried out within a preset period, and can be changed to a certain extent (for example, by a few days or a few weeks). Predictive maintenance and periodic maintenance increase the risk of failure of the target equipment 3 as the planned end of service life approaches, but can also be carried out earlier, so they can be changed. Corrective maintenance can be carried out at any time, so its schedule can be changed freely.

[0083] Budget data D6a shown in FIG. 15 is output to the output unit 6 of the maintenance management system 10. In the budget data D6a, the budget for each period has been leveled compared to the budget data D6 in FIG. 13 described above. Specifically, in the leveled budget data D6a, the excess budget for period P2 is smaller and the budgets for periods P(n-4) to Pn are larger than those in the budget data D6. Therefore, the budget for each period in the leveled budget data D6a is closer to the target value D5 input by the user.

[0084] As described above, in the second modification, budget overruns are less likely to occur by leveling the budget in the maintenance plan data D1 based on the target value D5 input by the user. This makes it possible to propose a medium- to long-term maintenance plan for the container terminal 1 that is more satisfactory to the user. In addition to using the target value D5 as the basis for leveling the budget in the maintenance plan data D1, a preset amount may also be used as the basis. Furthermore, a representative value (average value, mode, median) of the budget for each predetermined period in the maintenance plan data D1 may also be used as the basis.

[0085] In the second modification, based on the maintenance plan data D1 with a leveled budget, an annual maintenance plan, a medium-term maintenance plan of about 3 to 5 years, and a long-term maintenance plan of 10 years or more can be presented to the user. By leveling the budget required for the maintenance of the container terminal 1, it is possible to make the budget as close as possible to fixed costs rather than variable costs. This makes it possible to grasp the operating costs of the container terminal 1 over the long term.

[0086] Although an embodiment of the present invention has been described above, the container terminal maintenance management system and method of the present invention are not limited to a specific embodiment, and various modifications and variations are possible within the scope of the gist of the present invention.

[0087] In the above-described embodiment and modified examples 1 and 2, the user makes the decision in step (S130) of Fig. 5, but by inputting the decision criteria into the maintenance management system 10 in advance, the decision can be made by the calculation processing unit 12 using the input criteria. This decision criteria can be set arbitrarily, but can also be set based on the decision made by the user in the process of repeatedly performing the embodiment and modified examples 1 and 2.

[0088] The maintenance plan data D1 and the inventory / shipping plan data D2 are not limited to maintenance schedules and inventory / shipping schedules for containers 2 at one container terminal 1, but may also include maintenance schedules and inventory / shipping schedules for containers 2 at multiple container terminals 1. The maintenance management system 10 functions as a common system for multiple container terminals 1, thereby strengthening cooperation among the multiple container terminals 1. For example, it becomes possible to adjust the inventory of parts 4 and the schedules of maintenance workers among the multiple container terminals 1, which is advantageous for eliminating dead stock of parts 4 and leveling out the work schedules of maintenance workers. [Explanation of symbols]

[0089] 1. Container Terminal 2. Container 3 Equipment 4 parts 10 Maintenance Management System 11 Cargo handling management system 12 Processing unit 13 Main memory 14 Auxiliary storage 15 Input section 16 Output section 18 Predictive Models 19 Training data D0 Maintenance plan reference data D1, D1a Maintenance plan data D2 Inventory planning data D3 User inventory data D4 Service provider inventory data D5 Target Value D6, D6a Budget Data

Claims

1. A container terminal maintenance management system including an auxiliary memory unit storing maintenance plan data in which a large number of maintenance works are scheduled for a large number of types of equipment in a container terminal, and inventory / shipment plan data in which the number of containers to be imported and shipped to the container terminal is scheduled, a processing unit, and an output unit, The relationship between the operating status of the container terminal, including the operating status of each of the facilities and the number of containers entering and leaving the container terminal, and the profit and loss at the container terminal is input in advance to the auxiliary storage unit, When approving the maintenance of each of the maintenance plan data, the calculation processing unit executes data processing to predict the profit and loss for each of the maintenance planned in the maintenance plan data when the operation status is a situation in which the maintenance is not implemented, based on the profit and loss when the operation status is a situation in which the maintenance plan data and the inventory planning data are implemented as scheduled, based on the relationship between the maintenance plan data and the inventory planning data that has been input in advance, and to output the predicted profit and loss to the output unit; A container terminal maintenance management system in which the profits and losses output from the output unit are used as indicators to carry out approved maintenance as scheduled in the maintenance plan data.

2. 2. The container terminal maintenance management system according to claim 1, wherein, when the maintenance is approved, before the approved maintenance is carried out, the processing unit executes data processing to procure parts of the equipment required for the maintenance and maintenance workers who will carry out the maintenance in preparation for the maintenance.

3. The container terminal maintenance management system according to claim 2, wherein electronic commerce is used to procure the parts in the preparation.

4. 2. The container terminal maintenance management system according to claim 1, wherein a target value of a budget required for the maintenance for a predetermined period is input in advance to the auxiliary storage unit, and the calculation processing unit executes data processing to calculate the budget for each of the predetermined periods based on the maintenance plan data, and to identify an excess budget that exceeds the input target value among each of the calculated budgets, and output the identified excess budget to the output unit.

5. 5. A container terminal maintenance management system according to claim 4, wherein, when there is no excess budget, the calculation processing unit executes data processing in which the maintenance of each of the maintenance plan data is deemed to have been approved without predicting the profit or loss.

6. 6. A container terminal maintenance management system according to claim 4 or 5, wherein the calculation processing unit executes data processing to calculate the budgets, and then executes data processing to level out the respective budgets using the target values ​​as a reference.

7. 2. A container terminal maintenance management system according to claim 1, wherein each of the maintenance activities scheduled in the maintenance plan data includes inspection, corrective maintenance, and corrective maintenance, and whether or not each of the maintenance activities includes predictive maintenance and / or periodic maintenance is selected in advance before the maintenance plan data is created.

8. A container terminal maintenance management method using maintenance plan data in which maintenance of many types of facilities in a container terminal is scheduled, and inventory entry / exit plan data in which the number of containers entering and leaving the container terminal is scheduled, comprising: When approving the maintenance of each of the maintenance plan data, a calculation processing unit executes a step of predicting the profit and loss when the operational situation is a situation in which the maintenance is not performed for each of the maintenance planned in the maintenance plan data, based on the maintenance plan data, the incoming and outgoing plan data, the operating status of each of the facilities, the operational situation of the container terminal including the number of incoming and outgoing containers, and the relationship between profit and loss at the container terminal, using as a standard the profit and loss when the operational situation is a situation in which the maintenance plan data and the incoming and outgoing plan data are performed as scheduled, A container terminal maintenance management method in which the profits and losses predicted in the prediction step are used as indicators to determine whether to approve or reject the implementation of each maintenance operation described in the maintenance plan data, and the approved maintenance operation is carried out as scheduled in the maintenance plan data.

Images