JP7437166B2 - Cooking management device, cooking management method, and cooking management program - Google Patents

Description

The present invention relates to technology for managing the preparation of food provided to users.

For example, there is a known technology that provides a food management system that can reduce the amount of time an orderer has to wait for food to be cooked (for example, see Patent Document 1). This Patent Document 1 discloses a technique for creating a cooking plan based on location information of a user terminal and instructing the cooking of food.

International Publication No. 2019/202846

The technology described in Patent Document 1 described above reduces waiting time for users by creating a cooking plan according to the user's situation and food demand forecast, but depending on the store's situation, It is not always possible to cook food according to the cooking plan. That is, depending on the situation of the store, there is a possibility that the time the user has to wait until the cooking of the food is completed becomes long.

The present invention has been made in view of the above circumstances, and its purpose is to provide a technique that can appropriately reduce the waiting time for a user to complete cooking of food.

In order to achieve the above object, a cooking management device according to one aspect is a cooking management device that manages the start of cooking of food provided in a store, and includes receipt specific time information that specifies the time when the food is received by the user. a receiving specific time information acquisition unit that acquires from a user terminal; a store cooking ability information acquisition unit that acquires store cooking ability information indicating food cooking ability at the store from a store terminal of the store; the predicted cooking completion time specifying unit for specifying the predicted cooking completion time of the food, the predicted cooking completion time, and the receiving time specified by the specific receiving time information, to start cooking the food at the store; It has a cooking start determining section that determines whether or not to start cooking at the store, and a cooking start instruction transmitting section that transmits a cooking start instruction to a store terminal of the store based on the determination that cooking at the store is to be started.

According to the present invention, it is possible to appropriately reduce the waiting time for a user to complete cooking of food.

FIG. 1 is a diagram illustrating an example of the positional relationship between a store, a server center, and users in one embodiment. FIG. 2 is a network configuration diagram of the cooking management system according to one embodiment. FIG. 3 is a functional configuration diagram of a management server according to an embodiment. FIG. 4 is a functional configuration diagram of a user terminal according to an embodiment. FIG. 5 is a functional configuration diagram of a store terminal according to an embodiment. FIG. 6 is a configuration diagram of an order information table according to one embodiment. FIG. 7 is a configuration diagram of a user information table according to an embodiment. FIG. 8 is a configuration diagram of a product information table according to one embodiment. FIG. 9 is a configuration diagram of a store information table according to an embodiment. FIG. 10 is a configuration diagram of a store congestion information table according to an embodiment. FIG. 11 is a diagram showing a cooking instruction screen according to one embodiment. FIG. 12 is a sequence diagram of cooking management processing in the cooking management system according to an embodiment. FIG. 13 is a flowchart of store congestion information processing according to one embodiment. FIG. 14 is a flowchart of cooking delay prediction derivation processing according to one embodiment. FIG. 15 is a flowchart of estimated arrival time calculation processing according to one embodiment. FIG. 16 is a flowchart of a predicted cooking completion time calculation process according to an embodiment. FIG. 17 is a flowchart of cooking start determination processing according to an embodiment.

Embodiments will be described with reference to the drawings. The embodiments described below do not limit the claimed invention, and all of the elements and combinations thereof described in the embodiments are essential to the solution of the invention. is not limited.

In the following description, information may be described using the expression "AAA table," but the information may be expressed using any data structure. That is, the "AAA table" can be referred to as "AAA information" to indicate that the information is independent of data structure.

FIG. 1 is a diagram illustrating an example of the positional relationship between a store, a server center, and users in one embodiment.

The cooking management system 100 manages a store 101 for cooking and providing food (products) to users (also referred to as end users), a user terminal 108 used by a user 107, and cooking at the store 101. and a server center 105.

The store 101 is a store where cooking is performed, and may be, for example, a fast food restaurant, a restaurant, a delivery restaurant, a convenience store, or the like. The store 101 includes an employee 102, a store terminal 103, and cooking equipment 104. The store terminal 103 transmits information that restricts cooking, such as congestion status, and receives cooking instructions from the server center 105, user order information, and estimated arrival time, and displays the received information on the screen. Cooking equipment 104 cooks food.

A management server 106 exists in the server center 105 . The management server 106 manages orders received from users 107 , cooking instructions to the store 101 , and store information sent from the store 101 .

In the cooking management system 100, the user 107 can use the user terminal 108 to send product order information and arrival time at the product receiving store (or current location information of the user terminal 108) to the server center 105. . Then, the management server 106 of the server center 105 uses the information including the sent contents to prepare the store 101 (specifically Then, a cooking start instruction is sent to the store terminal 103).

Here, the cooking completion time is affected by the capacity of the store 101, the congestion situation, etc., but in this embodiment, the cooking completion time is estimated appropriately according to the situation of the store 101. , the waiting time for the user 107 to complete cooking can be appropriately reduced. Details regarding this embodiment will be described later.

FIG. 2 is a network configuration diagram of the cooking management system according to one embodiment.

The cooking management system 100 includes one or more user terminals 108, one or more store terminals 103, and a management server 106 as an example of a cooking management device.

User terminal 108, store terminal 103, and management server 106 are connected via network 109. The network 109 is, for example, a communication path such as a wired LAN (Local Area Network), a wireless LAN, or the Internet.

The management server 106 is, for example, a general-purpose server, and manages the user's order information via the user terminal 108, and when receiving the ordered product, the estimated time of arrival at the user's store (or the user's location information). ), also manages store information from the store terminal 103, and has functions for instructing the store terminal 103 to start cooking, etc. Details of the management server 106 will be described later.

The store terminal 103 is, for example, an information communication device such as a PC (Personal Computer), and exchanges various information that affects cooking time, such as various store conditions (cooking capacity information, congestion status, etc.) with the management server 106. It has the function of transmitting, receiving cooking instructions from the management server 106, user order information, and estimated arrival time, and displaying them on the screen.

The user terminal 108 is an information communication device owned by the user, such as a smartphone or a tablet terminal. Note that the user terminal 108 is not limited to these. The user terminal 108 may be equipped with a GPS function in order to transmit and receive location information and store arrival time obtained from the location information to and from the management server 106 .

FIG. 3 is a functional configuration diagram of a management server according to an embodiment.

The management server 106 includes a CPU (Central Processing Unit) 401, a memory 402, an I/F (interface) 403, and a storage device 404.

The I/F 403 is, for example, a communication interface such as a wired LAN card or a wireless LAN card, and communicates with other devices (for example, the store terminal 103 and the user terminal 108) via the network 109.

CPU 401 executes various processes according to programs stored in memory 402 and/or storage device 404.

The memory 402 is, for example, a RAM (RANDOM ACCESS MEMORY), and stores programs executed by the CPU 401 and necessary information. In this embodiment, the memory 402 includes an order information processing program 405, a cooking start request processing program 406, a cooking instruction screen creation program 407, and a cooking start determination program 408. The order information processing program 405 is a program for processing order information from the user terminal 108. The cooking start request processing program 406 is a program for requesting the store terminal 103 to start cooking. The cooking instruction screen creation program 407 is a program that causes the store terminal 103 to display the cooking instruction screen 1600 (see FIG. 11). The cooking start determination program 408 is a program that determines whether to start cooking the food ordered by the user.

The storage device 404 is, for example, a hard disk or a flash memory, and stores programs executed by the CPU 401 and data used by the CPU 401. In this embodiment, the storage device 404 stores an order information table 409, a user information table 410, a product information table 411, a store information table 412, and a store congestion information table 413. Note that the configuration of each table will be described later.

FIG. 4 is a functional configuration diagram of a user terminal according to an embodiment.

The user terminal 108 includes a CPU 301, a memory 302, an I/F 303, and a storage device 304.

The I/F 303 is, for example, a communication interface such as a wired LAN card or a wireless LAN card, and communicates with other devices (for example, the management server 106) via the network 109.

The CPU 301 executes various processes according to programs stored in the memory 302 and/or the storage device 304.

The memory 302 is, for example, a RAM, and stores programs executed by the CPU 301 and necessary information. In this embodiment, the memory 302 includes an order information processing program 305, a movement detection program 306, an arrival time calculation program 307, and an arrival time transmission program 308. The order information processing program 305 is a program for processing product order information with the management server 106. The movement detection program 306 is a program for performing processing to detect the position of the user terminal 108. The arrival time calculation program 307 is a program that calculates the arrival time at the store of the order destination. The arrival time transmission program 308 is a program for transmitting the calculated arrival time to the management server 106.

The storage device 304 is, for example, a hard disk or a flash memory, and stores programs executed by the CPU 301 and data used by the CPU 301. In this embodiment, the storage device 304 stores an order information table 309, a store arrival time holding table 310, and a store information table 311. The store arrival time holding table 310 is a table that stores the arrival time of the user at the store to receive the product. The order information table 309 has the same configuration as the order information table 409, and the information that is managed is, for example, only the orders of the user of this user terminal 108. The store information table 311 has the same configuration as the store information table 412, and includes at least information on the store where the user of the user terminal 108 receives the product.

FIG. 5 is a functional configuration diagram of a store terminal according to an embodiment.

Store terminal 103 includes a CPU 321, a memory 322, an I/F 323, and a storage device 324.

The I/F 323 is, for example, a communication interface such as a wired LAN card or a wireless LAN card, and communicates with other devices (for example, the management server 106) via the network 109.

The CPU 321 executes various processes according to programs stored in the memory 322 and/or the storage device 324.

The memory 322 is, for example, a RAM, and stores programs executed by the CPU 321 and necessary information. In this embodiment, the memory 322 includes a store congestion information collection program 325 and a cooking instruction screen display program 326. The store congestion information collection program 325 is a program for collecting and transmitting information regarding crowding, etc. in stores. The cooking instruction screen display program 326 is a program for performing processing for displaying the cooking instruction screen 1600.

The storage device 324 is, for example, a hard disk or a flash memory, and stores programs executed by the CPU 321 and data used by the CPU 321. In this embodiment, the storage device 324 stores an order information table 327 and a store congestion information table 328. The order information table 327 has a similar configuration to the order information table 409, and the only information managed is, for example, information on orders made by this store terminal 103 to the store 101. The store congestion information table 328 has the same configuration as the store information congestion information table 413, and the only information managed is information such as congestion regarding the store 101 of this store terminal 103.

Next, the configurations of various tables will be explained.

FIG. 6 is a configuration diagram of an order information table according to one embodiment.

The order information table 409 is a table that manages rows (entries) for each order by each user. The order information table 409 includes columns of number (#) 1101, order ID 1102, user ID 1103, product ID 1104, store ID 1105, receipt date 1106, and store arrival time 1107.

#1101 stores a number that uniquely indicates a row. The order ID 1102 stores information (order ID) that identifies the order corresponding to each row. The user ID 1103 stores information (user ID) that identifies the user who placed the order for each line. The product ID 1104 stores information (product ID) that identifies the product (food) that is the object of the order corresponding to each row. Store ID 1105 stores information (store ID) that identifies the store that receives the ordered product corresponding to each row. The receiving date 1106 stores the receiving date on which the ordered product corresponding to each row is received. Store arrival time 1107 stores the expected time (store arrival time) at which the customer will arrive at the store to receive the ordered product corresponding to each row. In this embodiment, if the movement to the store has not started, the store arrival time 1107 does not store the store arrival time.

For example, according to the row where #1101 is "1" in the order information table 409, a user with a user ID of "U001" purchases a product with a product ID of "R001" at a store as an order with an order ID of "O001". It can be seen that an order was placed at the store with ID "S001" with the pick-up date specified as "2020/1/1".

FIG. 7 is a configuration diagram of a user information table according to an embodiment.

The user information table 410 is a table that manages rows (entries) for each user. The user information table 410 includes columns of number (#) 1201, user ID 1202, user name 1203, and telephone number 1204.

#1201 stores a number that uniquely indicates a row. The user ID 1202 stores information (user ID) for identifying the user corresponding to each row. The user name 1203 stores the name (user name) of the user corresponding to each row. The telephone number 1204 stores the telephone number of the user corresponding to each row.

For example, according to the row where #1201 is "1" in the user information table 410, the user name of the user whose user ID is "U001" is "Ichiro Tanaka" and the phone number is "070-○○○○-". ○○○○".

FIG. 8 is a configuration diagram of a product information table according to one embodiment.

The product information table 411 is a table that manages rows (entries) for each product. The product information table 411 includes columns of number (#) 1301, product ID 1302, product name 1303, cooking time 1304, and price 1305.

#1301 stores a number that uniquely indicates a row. The product ID 1302 stores information (product ID) for identifying the product corresponding to each row. The product name 1303 stores the name of the product (product name) corresponding to each row. The cooking time 1304 stores the time required to cook the product corresponding to each row (cooking time). This cooking time is purely the time required for cooking, and is the time from the actual start of cooking to the completion of cooking. The price 1305 stores the price of the product corresponding to each row.

For example, according to the row where #1301 is "1" in the product information table 411, the product name of the product with product ID "R001" is "Margherita", the cooking time is "8 minutes", and the price is " It turns out that the price is 700 yen.

FIG. 9 is a configuration diagram of a store information table according to an embodiment.

The store information table 412 is a table that manages rows (entries) for each store. The store information table 412 includes columns of number (#) 1401, store ID 1402, store name 1403, and address 1404.

#1401 stores a number that uniquely indicates a row. Store ID 1402 stores information (store ID) for identifying the store corresponding to each row. Store name 1403 stores the name of the store (store name) corresponding to each row. The address 1404 stores the address of the store corresponding to each row.

For example, according to the row where #1401 is "1" in the store information table 412, the store name of the store with store ID "S001" is "Shinjuku store" and the address is "XX-cho, Shinjuku-ku, Tokyo". I understand that there is something.

FIG. 10 is a configuration diagram of a store congestion information table according to an embodiment.

The store congestion information table 413 is a table that manages rows (entries) regarding information regarding congestion, etc. for each store. Store congestion information table 413 includes number (#) 1501, store ID 1502, cooking start waiting time 1503, advance cooking start time 1504, number of customers in store 1505, POS data 1506, and average customer stay time 1507. , including columns for number of employees 1508, available cooking utensils 1509, and number of products handled 1510.

#1501 stores a number that uniquely indicates a row. Store ID 1502 stores information (store ID) for identifying the store corresponding to each row. The cooking start waiting time 1503 stores the time from when a cooking start instruction is given at the store corresponding to each row until the cooking actually starts (cooking start waiting time: cooking start delay time). In this embodiment, the cooking start waiting time is the time from when the cooking instruction is displayed on the cooking instruction screen 1600 until when the cooking start button 1602 is pressed. The cooking start waiting time 1503 stores a cooking start waiting time calculated by store congestion information processing (see FIG. 13), which will be described later.

The cooking start advance time 1504 stores the time at which the cooking start instruction should be brought forward (cooking start advance time) when giving a cooking start instruction at the store corresponding to each row, taking into account delays due to congestion, etc. The advance cooking start time is determined based on information that causes delays in cooking, such as congestion at the store, and information on the cooking ability of the store (store cooking ability information). The cooking start advance time 1504 stores an advance cooking start time derived by a cooking delay prediction derivation process (see FIG. 14) described later.

The number of customers in store 1505 stores the number of customers in the store corresponding to each row. In order for employees to serve customers at a store, the number of customers provides information regarding factors that may delay cooking operations. POS data 1506 stores POS (Point of Sale) data at the store corresponding to each row. The POS data stored in the POS data 1506 is, for example, POS data for a predetermined period (for example, one day) at the corresponding store. The average customer stay time 1507 stores the average stay time of customers at the store corresponding to each row. The average stay time is information that is affected by crowding in the store, etc., and is information that can estimate delays in cooking work.

The number of employees 1508 stores the number of employees at the store corresponding to each row. The number of employees is an example of information indicating the cooking ability in the store (store cooking ability information), and the larger the number of employees, the higher the cooking ability in the store, which works to reduce delays in cooking. The available cooking utensils 1509 stores the number of usable cooking utensils in the store corresponding to each row. The number of cooking utensils is an example of store cooking ability information, and the larger the number of cooking utensils, the higher the cooking ability in the store, which works to reduce delays in cooking.

The number of products handled 1510 stores the number of products handled at the store corresponding to each row. The number of products handled is information that causes congestion in the store, and cooking delays can be estimated based on the number of products handled.

For example, according to the row where #1501 is "1" in the store congestion information table 413, the cooking start waiting time of the store with the store ID "S001" is "4 minutes", and the advance cooking start time is "7 minutes". ”, the number of customers in the store is “4”, and the POS data is, for example, “19:03, R001”, that is, a product with product ID “R001” was purchased at 19:03. Including data, the average customer stay time is "15 minutes", the number of employees is "4", the number of usable cooking utensils is "3", and the number of products handled is "15". I understand that there is something.

Next, the cooking instruction screen 1600 will be explained.

FIG. 11 is a diagram showing a cooking instruction screen according to one embodiment.

Cooking instruction screen 1600 includes an order content display area 1601 that displays information regarding the order, and a cooking start button 1602.

The order content display area 1601 displays, for example, the expected arrival time of the user who placed the order, the order ID, the order list, and the like. Note that other information regarding cooking may be displayed in the order content display area 1601. The cooking start button 1602 is a button that is pressed by the employee when starting cooking. By pressing the cooking start button 1602, the cooking start waiting time in the store congestion information table 413 is derived and set.

Next, cooking management processing in the cooking management system 100 according to the embodiment will be explained.

FIG. 12 is a sequence diagram of cooking management processing in the cooking management system according to an embodiment. In the example of FIG. 12, for the sake of simplicity, the store terminal 103 of one store 101 among the plurality of stores will be described, and one of the plurality of user terminals 108 will be described.

The cooking management process can be roughly divided into an order information process 501, a crowding situation collection process 502, and a cooking start management process 503.

In order information processing 501, the user terminal 108 receives an order for a product that requires cooking from a user, and transmits the user information and order information to the management server 106 (step S501).

In the congestion situation collection process 502, the store terminal 103 collects and analyzes store congestion information (step S502), and transmits the store congestion information to the management server 106 (step S503). Store congestion information may include, for example, the number of customers in the store, POS data, average customer stay time, number of employees, number of available cooking utensils, and number of products handled. The processing of these steps will be described later with reference to FIG.

On the other hand, the management server 106 executes a cooking delay prediction derivation process (see FIG. 14) for predicting future cooking delay time based on the store congestion information transmitted from the store terminal 103 (step S504). Here, the function by which the management server 106 receives store congestion information from the store terminal 103 corresponds to a store cooking ability information acquisition unit.

Note that the processes in steps S502, S503, and S504 may be performed at any timing; for example, they may be performed periodically every 10 minutes, or they may be performed when a change in the status of the store 101 is detected. Good too.

In the cooking start management process 503, the user terminal 108 detects movement of the user terminal 108 (step S505). This process is executed using an acceleration sensor, a position information sensor, or the like that the user terminal 108 has. The process of step S505 may be performed at any timing, for example, periodically every 10 minutes, or after a certain threshold time has passed since the previous execution.

When the user terminal 108 detects movement, it calls subsequent processing (step S506). Next, the user terminal 108 executes an estimated arrival time calculation process (see FIG. 15) that calculates the time at which the user will arrive from the current location to the store where the ordered product will be received (step S507), and calculates the estimated arrival time ( The arrival time t1: receipt time) is transmitted to the management server 106 (step S508). In this embodiment, the user terminal 108 does not transmit the user's location information, which is advantageous from the viewpoint of protecting the user's personal information. Note that the information transmitted from the user terminal 108 to the management server 106 may include the user's location information and user information in addition to the expected arrival time.

On the other hand, the management server 106 performs a cooking completion time calculation process (predicted cooking time t2) that calculates the expected cooking completion time (predicted cooking time t2), which is the number of minutes after which the cooking can be completed when the user starts cooking the product ordered by the user. (see FIG. 16) (step S509). The process in step S509 may be performed at any timing, and may be triggered by, for example, the user sending the arrival time to the management server 106. The management server 106 outputs the predicted cooking time t2 calculated in step S509 (step S510).

The management server 106 performs a cooking start determination process (see FIG. 17) that determines whether to start cooking by comparing the arrival time t1 transmitted in step S508 and the predicted cooking time t2 output in step S510. (Step S511). Here, the function by which the management server 106 receives the arrival time t1 from the user terminal 108 corresponds to a reception specific time information acquisition unit.

As a result of this determination process, if the arrival time t1 is less than or equal to the predicted cooking time t2 (step S512), the management server 106 includes the user's expected arrival time and order information necessary for creating the cooking instruction screen. Information is collected, a cooking instruction screen 1600 is created (step S514), and the cooking instruction screen 1600 is transmitted to the store terminal 103 (step S515). As a result, the cooking instruction screen 1600 is displayed on the store terminal 103 (step S516). As a result, in the store 101, the product ordered by the employee who referred to the cooking instruction screen 1600 is cooked.

Thereafter, when the user of the user terminal 108 arrives at the store 101, the user can receive the ordered product with a short waiting time.

Note that if the arrival time t1 is greater than the predicted cooking time t2, the management server 106 sends a standby instruction to the user terminal 108 to execute subsequent processing after detecting movement again (step S513). The user terminal 108 that has received the standby instruction waits without executing subsequent processing (steps S507 and S508) until it detects movement again. This makes it possible to reduce unnecessary processing on the user terminal 108 and to suppress battery consumption.

Next, store congestion information processing will be explained in detail.

FIG. 13 is a flowchart of store congestion information processing according to one embodiment. This store congestion information processing is executed, for example, when the store terminal 103 receives a cooking instruction.

When the store terminal 103 receives a cooking instruction, it displays the cooking instruction screen 1600 (step S601).

Next, the store terminal 103 substitutes the current time into the variable s1 (step S602), and determines whether the cooking start button 1602 on the cooking instruction screen 1600 has been pressed (step S603). Here, pressing the cooking start button 1602 is assumed to be pressing the virtual cooking start button 1602 displayed on the touch panel, but selecting and pressing the button using a physical button or an external input device You may.

As a result, if the cooking start button 1602 is not pressed (step S603: NO), the store terminal 103 advances the process to step S603.

On the other hand, if the cooking start button 1602 is pressed (step S603: YES), the store terminal 103 substitutes the current time for the variable s2 (step S604).

Next, the store terminal 103 calculates the variable s2 - the variable s1 to find the cooking start waiting time, and assigns it to the variable c. Here, the cooking start waiting time is the time required from when the cooking start screen 1600 is displayed until the employee presses the cooking start button 1602. This refers to the time that indicates whether cooking can be started after the time has elapsed, and is an example of a start delay time.

Next, the store terminal 103 executes store information collection processing to collect various information (store information) for predicting how much the start of cooking at a future store will be delayed (step S606). Next, the store terminal 103 transmits the cooking start waiting time and the store information collected in the store information collection process to the management server 106 (step S607), and ends the process. Note that the management server 106 receives the store information and registers the received store information in the store congestion information table 413. The functions of this management server 106 correspond to a store cooking ability information acquisition section and a start delay time acquisition section.

According to this process, after receiving a cooking instruction, the store can transmit the cooking start waiting time, which indicates how much time has elapsed before cooking can be started, to the management server 106. Further, information for calculating a predicted cooking delay time that takes into account the capacity of the store, the congestion situation, etc. can be transmitted to the management server 106.

Next, the cooking delay prediction derivation process will be described in detail. The cooking delay prediction derivation process is realized by the CPU 401 of the management server 106 mainly executing the cooking start request processing program 406.

FIG. 14 is a flowchart of cooking delay prediction derivation processing according to one embodiment.

The management server 106 executes a cooking delay prediction process that predicts the delay time in cooking based on the store information received from the store terminal 103 (information regarding the store's capacity, information on the state and cause of store congestion, etc.). (Step S701). Here, the cooking delay prediction process is executed for each store, for example.

Here, the calculation formula for calculating the predicted cooking delay time can be obtained by performing regression analysis using at least one item of store information as an explanatory variable and the predicted cooking delay time as an objective variable. .

For example, a calculation formula for calculating the expected cooking delay time Y using variables such as the number of employees, which is information on the ability of the store, and the number of available cooking utensils, is as shown in the following formula (1).
Y _{= d1x1} + _{d2x2 ...} (1)

Here, x ₁ indicates the number of employees, x ₂ indicates the number of usable cooking utensils, d ₁ indicates a coefficient to be multiplied by the number of employees obtained by regression analysis, and d ₂ indicates the coefficient determined by regression analysis. Indicates the coefficient to be multiplied by the number of available cooking utensils.

The store information items used in the calculation formula for calculating the predicted cooking delay time Y are not limited to the number of employees and the number of available cooking utensils, but instead of or in addition to at least one of these, store information information regarding crowding (e.g., number of customers in the store, number of products handled, number of products waiting to be packed, etc.), other capacity information of the store (e.g., employee cooking skill level, etc.), and information on remaining capacity until closing for the day. It may also include time, etc. The coefficients corresponding to each item of the formula to be calculated may be obtained by performing regression analysis, for example.

According to the cooking delay prediction process, it is possible to appropriately predict the delay in cooking time according to the capacity of the store and the congestion situation of the store.

Next, the management server 106 calculates the cooking start waiting time in the row corresponding to the store in the store congestion information table 413 (specifically, the cooking start waiting time c calculated in step S605) and the cooking start waiting time c calculated in step S701. By adding up the expected delay time s3, the cooking start advance time d is calculated (step S702). The cooking start time d means the time when cooking should be brought forward in consideration of the current state of store congestion and the possibility of delays in cooking.

Next, the management server 106 stores the calculated advance cooking start time in the advance cooking start time 1504 in the row of the corresponding store in the store congestion information table 413 (step S703).

According to this cooking delay prediction derivation process, the cooking start time at each store can be appropriately derived based on information for each store (capacity information, congestion information), and registered in the store congestion information table 413. I can do it. Here, the function of the management server 106 in the cooking delay prediction derivation process corresponds to a predicted cooking completion time specifying section.

Next, the expected arrival time calculation process will be explained in detail. The expected arrival time calculation process is realized by the CPU 301 of the user terminal 108 mainly executing the arrival time calculation program 307.

FIG. 15 is a flowchart of estimated arrival time calculation processing according to one embodiment.

The user terminal 108 assigns the current time to variable a (step S801). Next, the user terminal 108 calculates the travel distance r from the current location of the user (user terminal 108) to the store where the product is to be received (step S802). Here, specifically, the user terminal 108 finds the shortest route to the store, and calculates the distance traveled along that route. Note that the method of calculating the travel distance is not limited to this, and for example, the user's usual travel route may be stored and the travel distance may be calculated based on the user's usual travel route.

Next, the user terminal 108 calculates the user's moving speed (step S803). Specifically, the user terminal 108 calculates the moving distance per unit time at the timing of processing, and calculates the moving speed by dividing the moving distance by the unit time. Note that the method for calculating the travel speed is not limited to this, and for example, the travel method to the store may be predicted and the travel speed for each of the travel methods may be calculated.

Next, the user terminal 108 calculates the estimated time (estimated arrival time) at which the user will arrive at the store where the product will be received (step S804). Specifically, the user terminal 108 calculates the expected arrival time t1 according to the following equation (2).

t1=a+r/s...(2)
Here, a is the value of variable a, r is the moving distance to the store, and s is the moving speed.

According to this expected arrival time calculation process, the expected arrival time when the user is expected to arrive at the store where the product will be received can be appropriately calculated without having the user specify the time.

Next, the predicted cooking time calculation process will be explained in detail. The predicted cooking time calculation process is realized by the CPU 401 of the management server 106 mainly executing the cooking start determination program 408.

FIG. 16 is a flowchart of a predicted cooking completion time calculation process according to an embodiment.

The management server 106 assigns the current time to variable b (step S701).

Next, the management server 106 specifies the cooking time of the product based on the product ID of the product ordered by the user, and calculates the predicted cooking time when delays etc. are not considered (step S702, step S703-1). , S703-2, S703-3,...).

Specifically, if the ordered product ID is "R001", the management server 106 identifies the corresponding row of the product information table 411, and sets the cooking time 1304 of this product, 8 minutes, to variable b. If the ordered product ID is "R002", the corresponding row of the product information table 411 is specified, and the cooking time 1304 of this product is 7. If the ordered product ID is "R003", the corresponding row of the product information table 411 is specified, and this product is cooked. The time 1304, 4 minutes, is added to variable b and assigned to variable c (step S703-3).

Next, based on the store ID of the store where the product is delivered, the management server 106 specifies the cooking start time brought forward in consideration of delays at this store, and determines the predicted cooking time t2 when the cooking start time brought forward is included. (Step S704, Step S705-1, S705-2, S705-3, . . . ).

Specifically, if the store ID of the receiving store is "S001", the management server 106 identifies the corresponding row of the store congestion information table 413, and determines the advance cooking start time 1504 at this store. minutes is added to variable c and substituted for predicted cooking time t2 (step S705-1), and if the store ID of the receiving store is "S002", the corresponding row of store congestion information table 413 is specified, 3 minutes, which is the advance cooking start time 1504 at this store, is added to the variable c and substituted for the predicted cooking time t2 (step S705-2). If the store ID of the receiving store is "S003", the store The corresponding row of the congestion information table 413 is identified, and one minute, which is the advance cooking start time 1504 at this store, is added to the variable c and substituted for the predicted cooking time t2 (step S705-3).

According to this predicted cooking completion time calculation process, it is possible to appropriately obtain the predicted cooking time t2 that takes into consideration the situation such as the congestion of the store where the product is received.

Next, the cooking start determination process will be explained in detail. The cooking start determination process is realized by the CPU 401 of the management server 106 mainly executing the cooking start determination program 408.

FIG. 17 is a flowchart of cooking start determination processing according to an embodiment.

The management server 106 compares the expected arrival time t1 transmitted from the user terminal 108 and the predicted cooking time t2 (step S1001).

As a result, if the expected arrival time t1 is later than the predicted cooking time t2, that is, if the expected arrival time t1 - predicted cooking time t2 is greater than 0 (greater than step S1001:0), the Since this means that there is a margin, the management server 106 transmits a notification to wait for movement detection (movement detection standby notification) to the user terminal 108 (step S1002), and ends the process.

On the other hand, if the expected arrival time t1 is the same as the predicted cooking time t2 or earlier than the predicted cooking time t2, that is, if the expected arrival time t1 - predicted cooking time t2 is less than or equal to 0 (step S1001: less than 0) means that it is necessary to start cooking immediately, so the management server 106 creates cooking instructions for the product and sends the cooking instructions to the store terminal 103 of the store where the product is to be received. A cooking start instruction process is performed (step S1003), and the process ends. The store terminal 103 that has received the cooking instruction displays a cooking instruction screen 1600 corresponding to the cooking instruction. This causes the store employee to start cooking the product for which the cooking instruction has been given.

According to this cooking start determination process, if it is necessary to start cooking immediately, a cooking start instruction can be appropriately transmitted to the store terminal 103 to instruct the start of cooking. Here, in the cooking start determination process, the processing function of the management server 106 in step S1001 corresponds to a cooking start determination section, the processing function of the management server 106 in step S1002 corresponds to a standby notification section, and the processing function of the management server 106 in step S1003 corresponds to a cooking start determination section. The processing function of the server 106 corresponds to a cooking start instruction transmitter.

Note that the present invention is not limited to the above-described embodiments, and can be implemented with appropriate modifications without departing from the spirit of the present invention.

For example, in the embodiment described above, the management server 106 acquires the expected time of arrival at the store from the user terminal 108, but the present invention is not limited to this. The location information of the user terminal 108 may be acquired as the pick-up specific time information, and the estimated time of arrival at the store may be specified based on the location information of the user terminal 108.

Further, in the above embodiment, the estimated time of arrival is obtained from the location information of the user terminal 108, but the present invention is not limited to this. For example, the estimated time of arrival is obtained from the user of the user terminal 108. It may also be possible to accept specifications.

Furthermore, in the above embodiments, part or all of the processing performed by the CPU may be performed by a hardware circuit. Further, the program in the above embodiment may be installed from a program source. The program source may be a program distribution server or a storage medium (eg, a portable storage medium).

100... Cooking management system, 101... Store, 103... Store terminal, 105... Server center, 106... Management server, 108... User terminal, 109... Network, 301, 321, 401... CPU, 302, 322, 402... Memory , 303, 323, 403...I/F, 304, 324, 404...Storage device

Claims (8)

A cooking management device that manages the start of cooking of food provided in a store,
a receipt specific time information acquisition unit that acquires receipt specific time information that specifies the receipt time of the food by the user from a user terminal;
a store cooking ability information acquisition unit that acquires store cooking ability information indicating food cooking ability at the store from a store terminal of the store;
a predicted cooking completion time specifying unit that specifies the predicted cooking completion time of the food based on the store cooking capacity information;
a cooking start determination unit that determines whether to start cooking the food at the store based on the predicted cooking completion time and the receipt time specified by the receipt specific time information;
a cooking start instruction transmitter that transmits a cooking start instruction to the store terminal of the store based on a determination that cooking at the store is to be started;
has
The time required from when the cooking start instruction is given until the cooking start button is pressed by the store employee is acquired as a start delay time until the cooking of the food related to the cooking start instruction starts. further comprising a start delay time acquisition unit,
The predicted cooking completion time specifying unit is a cooking management device that specifies the subsequent predicted cooking completion time based on the start delay time. The cooking management device according to claim 1, wherein the specific receipt time information is information about the arrival time of the user at the store. The specific reception time information is location information of the user terminal of the user.
The cooking management device according to claim 1. The cooking start determining unit determines to start cooking the food at the store when the receiving time is the same as or before the predicted cooking completion time from the current time. The cooking management device according to claim 1. Further comprising a standby notification unit that notifies the user terminal to temporarily wait for transmission of specific receipt time information when the cooking start determination unit determines that cooking of the food at the store is not to be started. The cooking management device according to claim 1. 2. The cooking management device according to claim 1, wherein the store cooking ability information is at least one of the number of employees, the number of available cooking utensils, and the cooking skill level of the employees. A cooking management method using a cooking management device that manages the start of cooking of food provided in a store, the method comprising:
Obtaining specific receipt time information from the user terminal that specifies the time when the food is received by the user;
Obtaining store cooking ability information indicating the food cooking ability at the store from a store terminal of the store,
identifying a predicted cooking completion time for the food based on the store cooking capacity information;
determining whether to start cooking the food at the store based on the predicted cooking completion time and the receipt time specified by the specific receipt time information;
Sending a cooking start instruction to the store terminal of the store based on determining that cooking at the store is to be started;
The time required from when the cooking start instruction is given until the cooking start button is pressed by the store employee is acquired as a start delay time until the cooking of the food related to the cooking start instruction starts. ,
The subsequent predicted cooking completion time is specified based on the start delay time.
Cooking management method. A cooking management program that is executed by a computer that manages the start of cooking of food provided in a store,
The computer,
a receipt specific time information acquisition unit that acquires receipt specific time information that specifies the receipt time of the food by the user from a user terminal;
a store cooking ability information acquisition unit that acquires store cooking ability information indicating food cooking ability at the store from a store terminal of the store;
a predicted cooking completion time specifying unit that specifies the predicted cooking completion time of the food based on the store cooking capacity information;
a cooking start determination unit that determines whether to start cooking the food at the store based on the predicted cooking completion time and the receipt time specified by the receipt specific time information;
functioning as a cooking start instruction transmitting unit that transmits a cooking start instruction to the store terminal of the store based on a determination that cooking at the store is to be started ;
The computer,
The time required from when the cooking start instruction is given until the cooking start button is pressed by the store employee is acquired as a start delay time until the cooking of the food related to the cooking start instruction starts. further configured as a start delay time acquisition unit,
The predicted cooking completion time specifying unit specifies the subsequent predicted cooking completion time based on the start delay time.
Cooking management program.