JP2014191535A - Working information analysis system for automatic transaction device and layout design support system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To calculate a waiting time of an automatic transaction device by analyzing a working situation from transaction information of the automatic transaction device without requiring any other discrimination device or the like in order to grasp the number of persons who are to make transactions, forming a queue in front of the automatic transaction device.SOLUTION: Only transaction information for each automatic transaction device is collected, and a waiting time for each automatic transaction device is calculated from working information obtained from the transaction information. A full working time for each automatic transaction device and a standard full working time of all automatic transaction devices are calculated, respectively, and the number of queue transactions is calculated from a differential between both the working times. On the basis of a degree if influences upon a queue time in the case where the number of automatic transaction devices is increased/decreased, a mitigation degree of the full working time (queue time) is estimated, thereby supporting layout design for a suitable number of automatic transaction devices.

Description

  The present invention relates to an analysis system based on operation information of an automatic transaction apparatus, and in particular, collects transaction information from multiple automatic transaction apparatuses operating in distributed sales offices, and determines the waiting time of the automatic transaction apparatus. The present invention provides a system for analyzing and displaying, and a system for supporting the layout design of the number of automatic transaction apparatuses that analyze and operate the operation status of automatic transaction apparatuses.

  As a method for analyzing and displaying the waiting time of the automatic transaction apparatus, Patent Document 1 describes a method for analyzing and displaying the waiting time from the card information, transaction type information and calendar information of the trader. Document 2 describes a method of analyzing and displaying the waiting time by obtaining a time difference from the time when the trader enters the store to the use start time.

  In addition, as a method for analyzing the operating status of an automatic transaction apparatus and controlling the number of automatic transaction apparatuses to be operated, Patent Document 3 describes that the operation is performed according to the transaction interval time from the transaction end time of the automatic transaction apparatus to the next transaction start time. A method for grasping the situation and determining an automatic transaction apparatus to be operated is described.

JP 2011-243058 A JP 2007-128386 A JP 2006-92449 A

  As described above, Patent Document 1 discloses a method for calculating a waiting time from the card information, transaction type information, and calendar information of a trader. However, in this method, a transaction is performed at the current time. The transaction completion time for only the person is calculated. Therefore, in the situation where the transaction planner of the automatic transaction apparatus makes a queue, there is a problem that the transaction completion time considering the transaction planner cannot be grasped.

  As described above, Patent Document 2 shows that the transaction completion time including the prospective transaction person can be grasped by using the store entry time. However, the store entry time is determined separately from the transaction information of the automatic transaction apparatus. There is a problem that a device for recording and discriminating the transaction start time by the same person as the store entry time must be installed.

  As described above, Patent Document 3 describes a method of grasping the operating status of an automatic transaction apparatus based on the transaction interval time calculated from the transaction end time and the next transaction start time, and controlling the number of operating automatic transaction apparatuses. However, even in this method, as in Patent Document 1, there is a problem that it is impossible to grasp the number of transaction candidates queued in the automatic transaction apparatus.

  Therefore, the object of the present invention is to calculate the waiting time by grasping the operating state of the automatic transaction apparatus only from the transaction information of the automatic transaction apparatus and estimating the number of transaction candidates queued in the automatic transaction apparatus. And to provide a system that supports the layout design of the number of operating automatic transaction devices.

The present invention is an operation information analysis system for an automatic transaction apparatus, wherein only transaction information for each automatic transaction apparatus is collected, and a waiting time for each automatic transaction apparatus is calculated based on operation information obtained from the transaction information. And
Also, calculate the full operation time for each automatic transaction device and the standard full operation time of the fully automatic transaction device, calculate the number of queue transactions from the difference between them, and display the queue time of the automatic transaction device It is characterized by.
Further, the degree of relaxation of the full operation time (queue time) is estimated based on the degree of influence on the queue time when the number of automatic transaction devices is increased or decreased, and the layout design of the number of automatic transaction devices is supported.

  According to the present invention, it is possible to reduce the cost for calculating the waiting time of the automatic transaction apparatus without the need to provide an apparatus for measuring and measuring different from the automatic transaction apparatus, and the automatic transaction It is possible to display the waiting time of the automatic transaction device after estimating the number of transaction candidates who are queued in the device, and also the full operation time (waiting) due to the increase / decrease of the automatic transaction device It is possible to support the layout design of an appropriate number of automatic transaction apparatuses from the degree of relaxation of the (matrix time).

FIG. 1 is a system configuration diagram showing the overall configuration of an operation information analysis system for an automatic transaction apparatus according to the present invention. FIG. 2 is a diagram illustrating a structure example of transaction information. FIG. 3 is a flowchart of a part for calculating the average transaction time and the operation rate according to the present invention. FIG. 4 is a flowchart of the part for calculating the full operation time according to the present invention. FIG. 5 is a flowchart of the part for calculating the standard full operation time according to the present invention. FIG. 6 is a flowchart of the part for calculating the queue time according to the present invention. FIG. 7 is an example of a screen that displays the operating status. FIG. 8 is an example of a screen that displays the waiting time. FIG. 9 is an example of a screen for supporting the design of the number of automatic transaction apparatuses.

Hereinafter, Examples 1 to 3 as embodiments of the present invention will be described in order with reference to the drawings.
FIG. 1 is a system configuration diagram showing an overall configuration of an operation information analysis system for an automatic transaction apparatus according to an embodiment of the present invention. This operational information analysis system includes an automatic transaction apparatus 1020 installed for each branch office 1010, a collection network 1030 for collecting transaction information of the automatic transaction apparatus, a transaction information storage apparatus 1040 for storing the collected transaction information of the automatic transaction apparatus, A computer 1050 for collecting / analyzing transaction information of an automatic transaction apparatus, an analysis result storage apparatus 1060 for storing analysis results, a distribution network 1070 for distributing analysis results in response to requests from users, and reading analysis results from users The user terminal 1080 is displayed. The transaction information storage device 1040, the calculation device 1050, and the analysis result storage device 1060 are installed in a place such as a data management center that manages and manages the automatic transaction device 1020 of each sales office 1010, but are not limited thereto. It is not a thing.

  In the calculation device 1050, an automatic transaction device transaction information collection program 1051 that collects transaction information from the automatic transaction device 1020, an automatic transaction device individual data analysis program 1052 that performs data analysis for each automatic transaction device based on the transaction information, Data totaling program 1053 by area / unit by which data is aggregated by sales office unit, regional unit or trader unit, automatic transaction device unit, sales office unit, regional unit from individual data analysis results and data aggregation results by area / unit Alternatively, an automatic transaction apparatus relative data analysis program 1054 that performs relative data analysis and aggregation in units of traders and an analysis result distribution program 1055 that distributes analysis or aggregation results to the user terminal 1080 in response to a request from the user terminal 1080 are stored. Are executed as appropriate. Further, the calculation device 1050 stores a threshold table 1056 that is referred to when obtaining the operation status.

A first embodiment of the present invention will be described with reference to FIGS. 2, 3, 4, 5, and 6. FIG.
The automatic transaction apparatus 1020 records transaction information for each transaction, and further transmits a recording request and transaction information to the calculation apparatus 1050 via the collection network 1030. When the automatic transaction apparatus transaction information collection program 1051 detects a recording request from the automatic transaction apparatus 1020, it receives the transmitted transaction information and additionally stores the transaction information in the transaction information storage apparatus 1040. As shown in FIG. 2, the transaction information storage device 1040 includes at least a business store ID 2010 that identifies a business store, a terminal ID 2020 that identifies an automatic transaction device, a transaction start time 2030 that indicates a transaction start date and time, and a transaction end date and time as transaction information. The transaction end time 2040 indicated is stored.

  Next, when at least one piece of transaction information is stored, the automatic transaction apparatus individual data analysis program 1052, the area-specific / unit-specific data aggregation program 1053, and the automatic transaction apparatus relative data analysis program 1054 are activated.

  3, 4, 5, and 6 are diagrams illustrating various processing flows for the calculation device 1050 to calculate the number of queue transactions for each branch when transaction information is stored.

  First, the automatic transaction apparatus individual data analysis program 1052 is activated, and the average transaction time THi (k, d) and the operation rate OIi (k, d) for each time period are calculated for each automatic transaction apparatus from the collected transaction information. FIG. 3 is a flowchart showing this calculation process.

  In step 3010, the transaction information of the corresponding time zone k on the corresponding day d is extracted from the transaction information storage device 1040 and read.

  In step 3020, transaction information of the corresponding automatic transaction apparatus i is extracted from the read transaction information.

さらに、営業店ｊ毎に設置されている自動取引装置ｉの台数分の稼働率ＯＩi（ｋ,d）を集計することにより、営業店ｊ毎の稼働率ＯＩｊ（ｋ,d）を以下の演算により算出する。
稼働率ＯＩｊ（ｋ,d）＝ΣＯＩi（ｋ,d）／営業店ｊの自動取引装置台数 In step 3030, as shown in Equation 1, all the transaction information of the corresponding automatic transaction apparatus i performed in the corresponding time zone k using the transaction start time TOTi (r) and the transaction end time TETi (r). The transaction times of the transactions are summed, and the operating rate OIi (k, d) at the time Tk in the corresponding time zone k is calculated. Here, n is the number of transactions of the corresponding automatic transaction apparatus i in the corresponding time zone k.

Further, by calculating the operating rate OIi (k, d) for the number of automatic transaction devices i installed at each sales office j, the operating rate OIj (k, d) at each sales office j is calculated as follows: Calculated by
Occupancy rate OIj (k, d) = ΣOIi (k, d) / Number of automatic transaction devices at sales office j

In Step 3040, as shown in Equation 2, the corresponding automatic transaction device is obtained from the transaction time of all transactions performed in the corresponding time zone k and the number n of transactions performed in the corresponding time zone k, which are added in Step 3030. The average transaction time THi (k, d) of i is calculated.

  In step 3050, the operation rate OIi (k, d) for each automatic transaction apparatus i, the operation rate OIj (k, d) for each branch office j, and the average transaction for each automatic transaction apparatus i calculated in steps 3030 and 3040. The time THi (k, d) is stored in the analysis result storage device 1060.

  In step 3060, it is determined whether the average transaction time THi (k, d) and the operation rate OI i (k, d) of all automatic transaction apparatuses have been calculated. If the calculation has not been completed ("No"). The processing from step 3020 to step 3050 is repeated. If the calculation has been completed (“Yes”), the automatic transaction apparatus individual data analysis program 1052 is terminated.

  Next, the full transaction time FOTi (d) is calculated for each automatic transaction apparatus from the operation rate information calculated in FIG. 3 by the automatic transaction apparatus individual data analysis program 1052. FIG. 4 is a flowchart showing this calculation process.

  In step 4010, the operation rate OIi (k, d) of the corresponding automatic transaction apparatus i on the corresponding day d is extracted from the analysis result storage device 1060.

  In step 4020, it is determined whether or not the operating rate OIi (k, d) of the corresponding automatic transaction apparatus i is larger than a predetermined full operating threshold value stored in the threshold value table 1056. .

  In Step 4030, it is determined whether or not the full operation of the corresponding automatic transaction apparatus i has been completed in all time zones. If the determination has not been completed (“No”), the processing in Step 4020 is repeated.

In step 4040, based on the determination of the full operation of the corresponding automatic transaction apparatus i in each time zone k of the corresponding day d, the time zone w in which the determination of full operation is continued is extracted, and the time of the continuous time zone w Tw is summed as shown below to calculate the full operating time FOTi (d) of the corresponding automatic transaction apparatus i.
Full operation time FOTi (d) = Σ (Tw)

  Here, if the time period during which full operation is determined intermittently continues at short intervals, all the times between the time period when the full operation determination was made first and the time period when the full operation determination was last made are added up. It can also be a full operation time. In addition, if the interval between the time period when the full operation is determined and the time period when the next full operation is determined is long, the corresponding day d is not a day unit, but only one time period during which the full operation determination continues. It can also be a unit including, for example, morning, noon, night.

  In Step 4050, it is determined whether or not the full operation time has been calculated in all automatic transaction apparatuses. If the calculation has not been completed ("No"), the processing from Step 4010 to Step 4040 is repeated.

  In step 4060, the full operation time FOTi (d) calculated in step 4040 in all automatic transaction apparatuses is stored in the analysis result storage apparatus 1060, and the automatic transaction apparatus individual data analysis program 1052 is terminated.

  Next, the area-by-unit / unit-by-unit data aggregation program 1053 is activated, and the standard full operation time SFOT (d) for the entire automatic transaction apparatus is calculated from the calculated full operation time FOTi (d). FIG. 5 is a flowchart showing this calculation process.

  In step 5010, the full operation time FOTi (d) of the day d is extracted from the analysis result storage device 1060.

In step 5020, as shown in Equation 3, the full operating time FOTi (d) of all automatic transaction apparatuses on the day d is added, and the standard full is calculated from the total number of all automatic transaction apparatuses (number of branch office terminals). The operating time SFOT (d) is calculated. Here, m is the total number of automatic transaction apparatuses (number of sales office terminals) installed in all sales offices.

  In step 5030, the standard full operation time SFOT (d) calculated in step 5020 is stored in the analysis result storage device 1060, and the area-by-unit / unit-by-unit data totaling program 1053 is terminated.

  Next, the automatic transaction apparatus relative data analysis program 1054 is started, and the queue time QTj (d) for each branch office j is waited from the calculated standard full operation time SFOT (d) and full operation time FOTi (d). The number of queue transactions QTNj (d) is calculated. FIG. 6 is a flowchart showing this calculation process.

  In step 6010, the standard full operation time SFOT (d), the full operation time FOTi (d) and the average transaction time THi (k, d) of the day d are extracted from the analysis result storage device 1060.

In step 6020, the queue time QTi (d) for each automatic transaction apparatus is calculated from the standard full operation time SFOT (d) and the full operation time FOTi (d) by the following calculation.
Queue time QTi (d) = Full operation time FOTi (d) −Standard full operation time SFOT (d)
Further, the queue transaction number QTNi (d) is calculated from the queue time QTi (d) and the minimum value (min) of the average transaction time THi (k, d) as shown in Equation 4.

  In step 6030, the queue time QTi (d) and the number of queue transactions QTNi (d) for each automatic transaction apparatus calculated in step 6020 are stored in the analysis result storage apparatus 1060.

  In step 6040, it is determined whether or not the queue time QTi (d) and the number of queue transactions QTNi (d) for each automatic transaction apparatus have been calculated for all automatic transaction apparatuses i. (“No”), the processing from step 6020 to step 6030 is repeated.

In step 6050, the queue time QTi (d), the number of queue transactions QTNi (d) and the full operation time FOTi (d) of all automatic transaction apparatuses i installed in the store j are totaled. The queue time QTj (d), the number of queue transactions QTNj (d), and the full operation time FOTj (d) are calculated by performing the following operations, respectively.
Queue time QTj (d) = Σ {Queue time QTi (d)} / Number of automatic transaction devices in sales office j Number of queue transactions QTNj (d) = Σ {Number of queue transactions QTNi (d)} / Sales office Number of automatic transaction devices of j Full operation time FOTj (d) = Σ {Full operation time FOTi (d)} / Number of automatic transaction devices of sales office j

  In step 6060, the queue time QTj (d), the number of queue transactions QTNj (d) and the full operation time FOTj (d) for each branch calculated in step 6050 are stored in the analysis result storage device 1060.

  In Step 6070, it is determined whether or not the queue time QTj (d), the number of queue transactions QTNj (d) and the full operation time FOTj (d) for each branch have been calculated in all the branches j. If not (“No”), the processing from step 6050 to step 6060 is repeated. If the calculation has been completed (“Yes”), the automatic transaction apparatus relative data analysis program 1054 is terminated.

  Next, the analysis result distribution program 1055 is activated, reads an input from the user terminal 1080, and distributes and displays the analysis result on the user terminal 1080. FIG. 7 shows an example of the operating status screen displayed on the user terminal 1080.

  First, when a display request by the user request button 7010 is detected, the store ID to be displayed input from the target store setting area 7020 is read, and the date and time T corresponding to the target period input from the target period date and time setting area 7030 is read. Is read.

  Based on the read store ID of the display target and the target period date and time T, the operation rate OIj (k, d) of the corresponding store j is extracted from the analysis result storage device 1060 and the operation rate OIj (k, d ) Is displayed in the operation rate graph display area 7040.

  Further, the queue time QTj (d) of the corresponding sales office j is displayed in the waiting time display area 7050. In FIG. 7, the waiting time is displayed as a full operation time, which is expressed as an increase / decrease time (expressed as “± time”) with respect to the standard full operation time (displayed as “standard”). Here, the number of queue transactions QTNj can also be displayed.

  Further, the queue time QTj (d) of the sales office j is displayed as a graph display 7060 on the operation rate OIj (k, d) graph in the operation rate graph display area 7040. Furthermore, the standard full operation time SFOT (d) can be displayed on the graph of the operation rate OIj (k, d).

  As described above, according to the first embodiment, only the transaction information of each automatic transaction apparatus can be collected and the waiting time of the automatic transaction apparatus can be calculated from the operation information obtained from the transaction information. The cost of installing another measurement recognition device can be reduced.

  In addition, it is possible to calculate the full operation time for each automatic transaction device and the standard full operation time of the full automatic transaction device, respectively, and calculate the number of queue transactions from the difference between the two. It is possible to estimate the number of prospective traders who are queuing and display the waiting time.

A second embodiment of the present invention will be described with reference to FIG.
In the first embodiment, when the past date and time is specified, the operating rate OIj (k, d) and the queue time QTj (d) of the sales office j at that date and time are displayed. In the second embodiment, the latest date t is displayed. The operating rate OIj (t2, t) and the queue time QTj (t) in the latest time zone t2 are displayed.

  The analysis result distribution program 1055 is activated, reads an input from the user terminal 1080, distributes the analysis result to the user terminal 1080, and displays it. FIG. 8 shows a screen example of the waiting time displayed on the user terminal 1080.

First, when a display request by the user request button 8010 is detected, the operating rate OIj (t2, t) at the latest date and time t is read from the analysis result storage device 1060 at all the sales offices j, and the operating rate OIj (t2, t). Is greater than a predetermined full operation threshold value stored in the threshold value table 1056. If it is smaller, the waiting time NQTj of the store j at the latest date and time t is set to zero. If it is larger, QTj (d) of the corresponding day d whose attributes (for example, day of the week, weather) are similar to the latest date and time, and the latest waiting time NQTj is calculated by the following calculation.
Latest waiting time NQTj = ΣQTj (d) / corresponding days

Next, in the waiting time list 8020, the store ID and the latest waiting time NQT of the store are displayed.
As a similar day, it is conceivable to make a similarity determination based on a day of the week or a holiday by using calendar information. It is also conceivable to use the weather information to determine the similarity based on the weather as an attribute.

  Here, when a display request by the user request button 8010 is detected, location information such as the current location input from the location setting area 8030 is read and collated with the location information of each store set in advance, and a preset range And the relationship between the extracted store ID and the latest waiting time NQT can be displayed in the waiting time list 8020. Furthermore, the display can be made in the order of the latest waiting time NQT.

  In addition, here, in the peripheral map area 8040, the position of the sales office extracted for the input current location and the waiting time rank (1 to 5) of the waiting time list 8020 can be displayed.

  As described above, according to the second embodiment, the waiting time at the latest date and time can be provided as a waiting time after estimating the number of transaction candidates queued in the automatic transaction apparatus. Accordingly, it is possible to display a plurality of sales offices within a certain range in order of waiting time.

A third embodiment of the present invention will be described with reference to FIG.
In the first embodiment, when a past date and time is specified, the number of queue transactions QTNj (d) of the store j on the specified date d is calculated. In the third embodiment, the queue time QTj ( A system is provided that supports designing the increase or decrease in the number of automatic transaction devices to reduce d).

  FIG. 9 shows a screen example of automatic transaction apparatus number design support displayed on the user terminal 1080. Here, the user is assumed to be a system designer rather than an end user.

  In order to provide the above-mentioned screen for supporting the design of the number of automatic transaction apparatuses, the analysis result distribution program 1055 is activated, reads the input from the user terminal 1080, and distributes and displays the analysis result on the user terminal 1080.

First, when a display request by the user's request button 9010 is detected, the branch office ID to be designed in the setting area input from the target branch ID setting area 9020 is read.
Based on the read shop ID of the design target, the number Nj of the automatic transaction apparatuses installed in the corresponding branch j and the full operating time FOTj are read, and the number of automatic transaction apparatuses is displayed in the branch display area 9030 before adjustment. Nj and full operation time FOTj are displayed.

Furthermore, when the input setting of the adjusted terminal number Mj for each branch is detected by the user in the adjusted branch display area 9040, the adjusted terminal number Mj for each branch is read and installed in the corresponding branch j. The terminal increase influence DIj is calculated from the number Nj of the automated transaction apparatuses being used, as shown in Equation 5. Then, the adjusted full operation time AQTj is calculated from the above-described terminal increase influence degree DIj calculated from the previous full operation time FOTj, the automatic transaction apparatus number Nj, and the adjusted terminal number Mj, as shown in Equation 6.

Next, the adjusted number of terminals Pj (= Mj−Nj) and the adjusted full operation time AQTj are displayed in the adjusted shop display area 9040 after adjustment.
It is obvious that this full operation time is linked to the occurrence of the queue time, and it is estimated that the queue time that occurs when the full operation time becomes longer becomes longer.

  Here, when a plurality of sales offices are set as design targets, the total number of terminals before adjustment N = Σ (Nj), the total operation time before adjustment FOT = Σ (FOTj), and after adjustment The total number of terminals M = Σ (Mj) and the adjusted total operation time AQT = Σ (AQTj) can be calculated and displayed as the total in the adjusted store list 9050.

  Further, when a display request by the user request button 9010 is detected and the design office ID is read from the business office setting area 9020, each business office that minimizes the adjusted total operation time AQT. The adjusted terminal number Mj can be calculated and displayed in the adjusted shop display area 9040 and the adjusted shop list 9050 after adjustment.

  Further, when a display request by the user request button 9010 is detected and the store ID to be designed is read from the target store setting area 9020, the adjusted total operation time AQT is set to a preset value or less. In addition, the adjusted terminal number Mj of each sales office that minimizes the adjusted total terminal number M can be calculated and displayed in the adjusted sales shop display area 9040 and the adjusted sales shop list 9050.

  As described above, according to the third embodiment, the degree of influence on the queuing time when the number of automatic transaction apparatuses is increased or decreased is calculated, and the relaxation degree of the full operation time (queue time) is estimated based on the calculated degree. Can support the design of an appropriate number of units.

  According to the present invention, in the operation information analysis system for an automatic transaction apparatus that analyzes the operation information of the automatic transaction apparatus, only the transaction information for each automatic transaction apparatus is collected and the operation information obtained from the transaction information is used for each automatic transaction apparatus. Since the waiting time is calculated, it is possible to reduce the cost of installing an apparatus for measuring and recognizing separately from the automatic transaction apparatus. In addition, the full transaction time for each automatic transaction device and the standard full operation time of the full automatic transaction device are calculated, and the automatic transaction device is queued to calculate the number of queue transactions from the difference between the two. Estimate the number of prospective traders and display the waiting time. In addition, in the layout design of the automatic transaction apparatus, the degree of relaxation of the full operation time (queue time) is estimated based on the degree of influence on the queue time when the number of automatic transaction apparatuses is increased or decreased. Can support the layout design of the number.

1010 branch office 1020 automatic transaction apparatus 1030 collection network 1040 transaction information storage apparatus 1050 calculation apparatus 1060 analysis result storage apparatus 1070 distribution network 1080 user terminal

Claims (5)

Collection storage means for collecting and storing transaction information from a plurality of automatic transaction apparatuses installed for each of a plurality of distributed stores via a network;
Arithmetic processing means for calculating based on the transaction information;
Storage means for storing the processing result by the arithmetic processing means,
The arithmetic processing means includes:
From the transaction information extracted from the collection storage means, an operating rate and an average transaction time for each automatic transaction device or for each automatic transaction device and for each store are calculated for each time zone, and the automatic transaction device is calculated from the operating rate. A processing unit that calculates the full operating time of each or each automatic transaction apparatus and each store;
A processing unit for calculating the standard full operation time of a fully automatic transaction device by counting the full operation time for each automatic transaction device,
The queue time and the number of queue transactions for each automatic transaction device or each automatic transaction device and each store are calculated from the full operation time, the average transaction time, and the standard full operation time for each automatic transaction device. An operating information analysis system for an automatic transaction apparatus, comprising: In the operation information analysis system of the automatic transaction apparatus according to claim 1,
A distribution unit that transmits information based on the processing result stored in the storage unit;
The delivery means includes
When a distribution request is received from one or more user terminals via a network, at least one of the operating rate of the one or more stores, the queue time, and the number of queue transactions from the queue time for each store Is extracted from the storage means and transmitted to the user terminal. In the operation information analysis system of the automatic transaction apparatus according to claim 1,
A distribution unit that transmits information based on the processing result stored in the storage unit;
The delivery means includes
Upon receiving a distribution request accompanied by position information input from one or more user terminals via the network, the queue time of one or more stores within the predetermined range from the position information or the queue time of the stores And an operation information analysis system for an automatic transaction apparatus, wherein the store location information is extracted from the storage means and transmitted to the user terminal. Collection storage means for collecting and storing transaction information from a plurality of automatic transaction apparatuses installed for each of a plurality of distributed stores via a network;
Arithmetic processing means for calculating based on the transaction information;
Storage means for storing a processing result by the arithmetic processing means;
Distribution means for transmitting information based on the processing result stored in the storage means,
The arithmetic processing means includes:
From the transaction information extracted from the collection and storage means, the operating rate and average transaction time for each time zone of each automatic transaction device and each store are calculated, and both the automatic transaction device and each store are calculated from the operating rate. A processing unit for calculating the full operation time of
A processing unit for calculating the standard full operation time of a fully automatic transaction device by counting the full operation time for each automatic transaction device,
A processing unit that calculates the queue time and the number of queue transactions for each automatic transaction device and each store from the full operation time and the average transaction time for each automatic transaction device and the standard full operation time;
A processing unit that calculates the degree of influence on the queuing time for each store by increasing or decreasing one of the automatic transaction apparatuses for each store;
The delivery means includes
When a distribution request is received from one or more user terminals via the network, a queuing time or a queuing transaction associated with an increase or decrease in the number of the automatic transaction devices for each of the one or more stores in cooperation with the arithmetic processing means An arrangement design support system for an automatic transaction apparatus, wherein an increase / decrease in number is calculated and transmitted to the user terminal. In the automatic transaction device arrangement design support system according to claim 4,
The delivery means includes
From the calculated increase / decrease of the queue time or the number of queue transactions, calculate the increase / decrease arrangement of the automatic transaction apparatus to make the queue time equal to or less than a predetermined queue time between two or more stores An arrangement design support system for an automatic transaction apparatus, wherein the system is transmitted to the user terminal.

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