JP2006350937A - Meal serving time distribution system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a meal serving time distribution system for notifying a person who is going to use a restaurant of a meal serving time from an order to the serving of the meal in the restaurant before the person enters the restaurant. <P>SOLUTION: The meal serving time distribution system is provided with a totalization/distribution server 20 having a storage device, which stores a database for distribution including meal serving time data regarding the meal serving time of the restaurant 8, and a communication device for transmitting the meal serving time data to terminals 31-33 via a communication network 100 on the basis of requests from the terminals 31-33 connected by the communication network 100. The meal serving time is calculated from the order receiving time and the meal serving time detected in the restaurant 8 and totalized in the totalization/distribution server 20. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to a system that distributes a food providing time from an order at a restaurant to when a food is provided to a terminal used by a person who intends to use the restaurant.

  A conventional information management system in a restaurant is disclosed in Patent Document 1. A conventional information management system will be described with reference to FIG.

  The customer service representative who receives the order from the customer inputs the order information to the handy terminal 1. Then, the input order information is sent to the ordering controller 4 in real time. The ordering controller 4 receives the order information, detects the received current time as the order time of the Nth customer, and sends the order information, fee information, and slip slip identification code N of the slip to the restaurant printer 3. The restaurant printer 3 prints the slip identification code N on the slip with numbers and bar codes, and prints order information and fee information with characters, numbers, etc. and outputs them.

  The cook cooks the ordered food according to the slip and arranges it for each slip, that is, for each customer. When all the dishes for the Nth customer have been prepared, the cook causes the barcode scanner 4-1 to read the barcode on the slip of the Nth customer. The bar code is converted into a slip identification code and read, and the read slip identification code N is sent to the ordering controller 4. At that time, the food provision time is calculated by taking the difference between the reading time of the slip identification code N and the order time of the Nth customer. Further, since the handy terminal 1 that has output the slip is known based on the slip identification code N, the calling signal and the calculated food provision time are transmitted from the ordering controller 4 to the handy terminal 1 corresponding to the slip identification code N. Is done.

  The customer service representative carrying the handy terminal 1 can recognize the call and the food provision time for the Nth customer on the LCD display of the handy terminal 1. Since the customer service representative recognizes the food and drink provision time for the customer at the handy terminal 1, a fine and accurate service or response to the customer becomes possible.

  On the other hand, after calling the customer service, the restaurant computer 5 stores the food and drink provision time for the Nth customer in addition to a list or file created as a database on a disk or the like in the computer 5. .

  Then, the restaurant computer 5 calculates the average provision time. The average provision time is calculated by taking, for example, the latest five food / drink provision times of customers from a list or the like in which the restaurant / drink provision time is stored for each customer in the restaurant computer 5. This is done by obtaining the average value of.

  Furthermore, the restaurant computer 5 calculates the calculated average food and drink provision time in a place where the customer cannot reach the store, and only the store manager or the customer service staff, for example, in the kitchen or near the kitchen. Or the like, or displayed on the display of the restaurant computer 5 itself.

  Therefore, according to this conventional information management system, the latest food and drink average provision time in that time zone is automatically calculated and displayed and notified to the store manager or the like. As a result, new customers can be notified of the exact food and beverage provision time for the time period, especially when it is crowded, such as during lunch or dinner. Become.

  Furthermore, the order data management device described in Patent Literature 2 includes an order time, a cooking completion time that is a time when cooking is completed, and a food provision time that is a time when cooked food is provided to a customer for each menu. To detect. The order data management device calculates a cooking time from the cooking completion time and the order time for each menu, and calculates a food provision time from the food provision time and the order time. Then, the display device displays the calculated cooking time and cooking provision time. Therefore, in the order data management device described in Patent Document 2, since each time is grasped in detail, if there is a problem in the cooking time or the cooking is provided after cooking, etc. It is possible to perform detailed analysis and time management such as whether there was a problem before.

Japanese Patent Laid-Open No. 5-89314 Japanese Patent Application Laid-Open No. 11-143943

  An object of the present invention is to provide a dish that can notify a person who intends to use a restaurant before entering the restaurant of the food provision time from the order at the restaurant to the time when the food is provided. It is to provide a distribution system of provision time.

  Hereinafter, means for solving the problem will be described using the numbers used in (Best Mode for Carrying Out the Invention). These numbers are added to clarify the correspondence between the description of (Claims) and (Best Mode for Carrying Out the Invention). However, these numbers should not be used to interpret the technical scope of the invention described in (Claims).

  The dish delivery time distribution system according to the present invention includes a storage device (22, 23) and a communication device (24). Here, the said memory | storage device has stored the database (C) for delivery containing the dish provision time data (C-2 to C-6) regarding the dish provision time of a restaurant (8). The said communication apparatus transmits the said dish provision time data to the said terminal via the said communication network based on the request | requirement from the terminal (31-33) connected by the communication network (100).

  The dish delivery time distribution system according to the present invention further includes a central processing unit (21) that executes a first calculation (S6, S16, S21, S31) that is the calculation of the dish provision time data. . Here, the storage device includes a first program for executing the first calculation, and a store-by-store aggregation database (B) including dish-specific food provision time data relating to a food provision time for each slip of the restaurant. Is stored. The central processing unit calculates the dish provision time data from the dish-specific dish provision time data by the first calculation.

  Moreover, the delivery system of the dish provision time according to the present invention further includes a first input device (11), a second input device (13), an order receiving terminal (12), and a store server (10). It has. Here, both the first input device and the second input device are installed in the restaurant. The first input device detects a time when the first input related to the first slip to the first input device is made as an order reception time. The second input device outputs a signal based on a second input relating to the first slip to the second input device. The order reception terminal detects a time when the output signal is received as a food provision time. On the other hand, the store server calculates dish provision time data for each previous term slip from the detected order reception time and the detected food provision time by the second calculation.

  In the dish delivery time distribution system according to the present invention, the dish provision time data includes current dish provision time data (C-2) relating to the current dish provision time. Here, the current cooking provision time data is the first slip from the latest first slip to a certain time ago, and the first slip within a certain number selected in order from the newest slip. It is calculated by the first calculation from the food provision time data for each slip related to the slip.

  In the dish delivery time distribution system according to the present invention, the dish serving time data includes time average dish serving time data (C-3, C-5) and daily average dish serving time data (C-4, C-6). Here, the time average dish provision time data is calculated from the per-slip dish provision time data related to the first slip in a predetermined time zone by the first calculation. On the other hand, the daily average food providing time data is calculated from the daily food providing time data for each slip related to the first slip for one day by the first calculation.

  In the dish delivery time distribution system according to the present invention, the first input device is a handy terminal carried and used by a customer service representative of the restaurant, and the second input device is the food and beverage It is a bar code reader used in stores.

  In the dish delivery time distribution system according to the present invention, the storage device stores a Web page generation program for generating a Web page. And the said central processing unit produces | generates the said Web page in which the said dish provision time data are described. On the other hand, the communication device performs the transmission by transmitting Web page data that is data of the Web page. The communication network is the Internet. Further, the web page data is described in the HTML format or the XHTML format.

  In the dish delivery time distribution system according to the present invention, the terminal is a mobile phone with GPS function (32) or a car navigation device (33). In this case, the communication device performs the transmission by transmitting the dish provision time data corresponding to the terminal position information that is information on the current position of the terminal received from the terminal. Here, the current position is detected by a GPS function included in the mobile phone or the car navigation device. Moreover, the said dish provision time data corresponding to the said terminal position information is the said dish provision time data about the said restaurant nearest to the said current position.

  Moreover, in the dish delivery time distribution system according to the present invention, the distribution database includes waiting time data in the restaurant, and the communication device includes both the dish serving time data and the waiting time data. Is transmitted to the terminal via the communication network.

  According to the present invention, a dish capable of notifying the person who intends to use the restaurant before entering the restaurant of the food provision time from the order at the restaurant to the time when the food is provided. A delivery time distribution system is provided. As a result, the person who intends to use the restaurant can determine whether or not to use the restaurant based on the cooking provision time.

  Moreover, according to this invention, the delivery system of the food provision time in which the steps from detection of the order reception time and the food provision time to transmission of the food provision time are automated is provided.

  With reference to the attached drawings, the best mode for carrying out the dish delivery time distribution system according to the present invention will be described below.

  The structure of the distribution system of the dish provision time concerning embodiment of this invention is demonstrated using FIG. The distribution system of the food provision time which concerns on embodiment of this invention is the terminal 31-33 which the store server 10 installed in the restaurant 8, the totaling / distribution server 20, and the public who is going to use a restaurant use. It consists of. Examples of the terminals 31 to 33 include a personal computer 31, a mobile phone 32, and a car navigation device 33. Here, the store server 10, the aggregation / distribution server 20, and the terminals 31 to 33 are connected to the communication network 100. An example of the communication network 100 is a public line or the Internet that can be used by the general public.

  In FIG. 2, the tabulation / distribution server 20 is connected to the store server 10 via the communication network 100, but both may be connected via a dedicated line. Further, the aggregation / distribution server 20 may be connected to each of a plurality of store servers 10 installed in a plurality of stores, or a plurality of aggregation / distribution servers 20 may be installed for each restaurant chain. . The store server 10 is not necessarily installed in the restaurant 8. Further, one computer may have the function of the store server 10 and the function of the aggregation / distribution server 20.

  Next, a configuration in the restaurant 8 of the delivery system for cooking provision time according to the embodiment of the present invention will be described with reference to FIG. The configuration of the system in the restaurant 8 includes a store server 10 used for order data and inventory management, an order receiving terminal 12, a barcode reader 13, a printer 14, and a transmission cable connecting them. 15 and a handy terminal 11 capable of wireless communication with the order receiving terminal 12. Here, the order receiving terminal 12, the barcode reader 13, and the printer 14 are installed in the kitchen of the restaurant 8.

  Next, the configuration of the tabulation / distribution server 20 will be described with reference to FIG. The aggregation / distribution server 20 includes a central processing unit 21 that performs aggregation processing and distribution processing including Web page generation processing, and a distribution program that includes aggregation programs and Web page generation processing for executing the aggregation processing. Between the store server 10 and the terminals 31 to 33 via the communication network 100, the memory 22 storing the distribution processing program for executing the processing, the storage device 23 storing the databases A to C It is comprised from the communication apparatus 24 which transmits / receives data. The storage device 23 of the totalization / distribution server 20 stores a store information database A, a store-specific total database B, a distribution database C, and Web page data (not shown).

  The data in the store information database A is shown in FIG. The store information database A includes store ID data, store name, store manager name, address, and telephone number data for each store.

  FIG. 6 shows the store-by-store total database B of the store whose store ID is 0003. In the store total database B shown in FIG. 6, slip ID, order reception time, number of customers, serving time, total amount, and customer unit price data are stored for each slip.

  FIG. 7 shows a distribution database C of a store whose store ID is 0003. The distribution database C includes store information data C-1, current food provision time data C-2, time average food provision time data C-3, daily average food provision time data C-4, and time average food. It consists of average value data C-5 for the past 30 days of provision time and average value data C-6 for the past 30 days of daily average dish provision time.

  The store information data C-1 includes store name, store manager name, address, and telephone number data. The data of the store information data C-1 corresponds to the data of the store information database A.

  The current food provision time data C-2 includes data on the current food provision time and the order reception time of the latest slip used for calculating the current food provision time. Here, in the case of January 24, 2005 at 21:05, the order reception time of the latest slip used for the calculation of the current food provision time is expressed as 200501242105.

  The time average dish provision time data C-3 includes data of a time zone in which the time average dish provision time is calculated and the time average dish provision time. Here, when the time average dish providing time is calculated, in the case of the 20 o'clock range on January 24, 2005, it is represented as 200501420.

  The daily average dish provision time data C-4 includes data of the business day on which the daily average dish provision time is calculated and the daily average dish provision time. Here, the date of the business day for which the daily average food provision time is calculated is represented as 20050123 when it is January 23, 2005.

  The average value data C-5 for the past 30 days of the time average dish provision time is the time period in which the time average dish provision time is calculated and the average value data of the time average dish provision time of the time period in the past 30 days. Contains. Here, when the time zone is 10:00, it is expressed as 10:00.

  The average value data C-6 of the daily average food provision time in the past 30 days includes data of the average value of the daily average food provision time in the past 30 days.

  Web page data (not shown) describes data C-1 to C-6 in the distribution database C in a format that can be processed and output by the terminals 31 to 33. Examples of output methods in the terminals 31 to 33 include display, voice output, and printing. If the Web page data is described in the HTML format or the XHTML format, it is possible to provide information on the cooking provision time without depending on the platforms of the terminals 31 to 33.

  FIG. 8 shows a state in which the Web page on which the restaurant serving time of the restaurant is described is displayed on the terminals 31 to 33. In FIG. 8, the store name and the address of the store are displayed. Furthermore, as the food provision time for each time zone, the average value of the time average food provision time for the past 30 days and the time average food provision time for today and the previous day (one day ago) are displayed for each time zone. The information described on the Web page can be arbitrarily selected from the data C-1 to C-6 stored in the distribution database C.

  Web pages may be classified and prepared for each store, each region, each restaurant chain, and each type of cuisine such as Japanese and Western food. In such a case, a person who wants to use a restaurant can search for a restaurant that discloses the cooking provision time from the store name, region, restaurant chain, and type of dish. At this time, if the Web page shows a restaurant in the area and the food provision time of the restaurant on the map, the location of the restaurant and the food provision time in the area become obvious at a glance.

  In the mobile phone 32 with GPS function and the car navigation device 33, the position information of the current position detected by the GPS function is transmitted to the aggregation / distribution server 20, and the store information and the current food about the nearest restaurant from the current position are transmitted. It is possible to know the provision time.

  Next, an overview of processing performed by the dish delivery time distribution system according to the embodiment of the present invention will be described with reference to FIG.

  In the restaurant 8, the order reception time and the food provision time are detected and the food provision time is calculated. The customer service representative who has received the order from the customer inputs the table number, the person in charge of reception, the number of customers, and the order contents into the handy terminal 11 carried, and presses the send button. Then, the handy terminal 11 adds the data at the time when the transmission button is pressed (order reception time) to the input data and transmits the data to the order reception terminal 12. That is, the order reception time is detected when order data is transmitted from the handy terminal 11 (step S1). The order reception terminal 12 adds a slip ID to the received data and transmits it to the store server 10. The store server 10 stores the received data. Simultaneously with the transmission, the order reception terminal 12 causes the printer 14 to print a slip on which the information transmitted to the store server 10 and the barcode indicating the slip ID are printed. After the cooker prepares the dishes of the order contents described in the printed slip and arranges them, the barcode reader 13 reads the barcode of the slip. The data signal of the slip ID indicated by this barcode is sent to the order receiving terminal 12. The order receiving terminal 12 detects the time at which the slip ID data signal is received as the food provision time (step S2). The order reception terminal 12 sends a calling signal to the handy terminal 11 to notify the customer service staff that the dish corresponding to the slip ID has been prepared, and to send the slip ID data and the food provision time data to the store server. 10 to send. The store server 10 that has received the slip ID and the food provision time data calculates the food provision time by taking the difference between the food provision time and the order reception time associated with the same slip ID (step S3). The store server 10 indicates a store in which the store server 10 is installed in the slip ID and the slip reception time, the number of customers, the serving time, the total price, and the customer unit price related to the slip ID. The ID is added and transmitted to the aggregation / distribution server 20 (step S4).

  The aggregation / distribution server 20 refers to the store ID included in the received data and adds (stores) the received data to the store-specific information database B that stores the store data corresponding to the store ID ( Step S5). The aggregation / distribution server 20 calculates the current food provision time based on the data stored in the store-specific information database B including the data stored at this time, and stores the calculation result in the distribution database C (step S6). ). The aggregation / distribution server 20 reads the data C-1 to C-6 stored in the distribution database C (step S7), and generates a Web page based on the read data C-1 to C-6. Then, the data of the existing web page stored in the distribution database C is updated to reflect the latest data C-1 to C-6 on the web page (step S8).

  In addition, when an order reception time for an order different from the above order is detected (step S11) and a food provision time is detected (S12), steps S13 to S18 similar to steps S3 to S8 described above are performed thereafter. Executed.

  Further, the aggregation / distribution server 20 calculates a time average dish provision time which is an average dish provision time per hour at the restaurant 8, and stores the calculation result in the distribution database C (step S21). Here, for example, the calculation of the time average dish providing time for 1 hour in the 20:00 range may be automatically executed at 22:00, which is 2 hours after 20:00. Subsequently, the aggregation / distribution server 20 reads the data C-1 to C-6 stored in the distribution database C (step S22), and the Web is based on the read data C-1 to C-6. A page is generated, the data of the existing Web page stored in the distribution database C is updated, and the latest data C-1 to C-6 are reflected on the Web page (step S23).

  Furthermore, the aggregation / distribution server 20 calculates the daily average food provision time, which is the average food provision time per day at the restaurant 8, and stores the calculation result in the distribution database C (S31). Here, the calculation of the daily average food provision time may be automatically executed after the business of the day ends. Subsequently, the aggregation / distribution server 20 reads the data C-1 to C-6 stored in the distribution database C (step S32), and the Web is based on the read data C-1 to C-6. A page is generated, the data of the existing web page stored in the distribution database C is updated, and the latest data C-1 to C-6 are reflected on the web page (step S33).

  When a request for sending Web page data to the tally / distribution server 20 is made via the communication network 100 from the terminals 31 to 33 used by the person who intends to use the restaurant 8 (step S41). , S51), the aggregation / distribution server 20 sends the web page data to the terminals 31 to 33 via the communication network 100 (steps S42 and S52). The terminal receiving the web page data displays the web page (steps S43 and S53). Along with the display of this Web page, the restaurant serving time of the restaurant is displayed.

  Here, when the mobile phone 32 with GPS function or the car navigation device 33 makes a request for sending Web page data to the tally / distribution server 20 via the communication network 100, the GPS function In the case where the position information of the detected current position is transmitted to the aggregation / distribution server 20, the aggregation / distribution server 20 stores the store information about the nearest restaurant and the current food provision time based on the received position information. You may decide to transmit the data of the web page in which is described. In this case, the storage device 23 stores a location / restaurant database in which the location information is associated with the nearest restaurant, and the aggregation / distribution server 20 refers to the location / restaurant database to receive the received location. What is necessary is just to transmit the data of the web page in which the information about the restaurant corresponding to information is described.

  Next, step S6 for calculating the current provision time and storing the data will be described in detail.

  First, a method for calculating the current cooking time will be described. The current food provision time is information that serves as a guide for determining how long it will take for the food to be provided from the order when the restaurant is used. In addition, even those who have never used the store need to be able to make a judgment based only on information about the current food provision time. Therefore, it is necessary to calculate the current cooking provision time based on the latest data. In other words, the current cooking provision time is calculated and updated to the latest every time the aggregation / distribution server 20 receives data from the store server 10. In addition, since the degree of congestion of the store changes within a day, for example, if the data in the slip three hours ago is used for calculation, the current cooking provision time is not a guide for judgment. Therefore, a predetermined time for extracting a slip used for calculation of the current cooking provision time is set in advance, for example, 30 minutes. The current provision time is calculated based on the latest slip and data relating to the slip between a certain time before the order reception time of the slip. In addition, when the store is crowded, especially when the store is crowded or when congestion is being alleviated, it is considered that the food provision time changes in a relatively short time. Therefore, a predetermined number of slips for extracting slips used for calculation of the current cooking provision time is determined in advance, for example, as the latest ten cases. And it is a slip between the latest slip and the time of order reception of the latest slip a certain time ago, and the current cooking provision time may be calculated based on the data relating to the latest certain number of slips .

  Here, the shorter the certain time is, or the smaller the certain number of cases is, the more current cooking provision time is calculated based on the new slip data. However, if the number of slips used for the calculation is too small, the calculated current food provision time is greatly affected by extreme data. For this reason, the current food provision time calculated based on a small number of data does not become a standard for determining the time until the food is served when going to the restaurant. Therefore, it is desirable to determine the above-mentioned fixed time and fixed number as follows. That is, for the past slip of the store, the current cooking provision time is calculated by the above method every 30 minutes. Next, the average value of the food provision time from each time when the current food provision time is calculated to one hour later is calculated. Then, a fixed time and a fixed number in which the correlation coefficient between the data of the current food providing time and the data of the average value of the food providing time are maximized are determined by trial and error.

  Step S6 for calculating the current cooking provision time in FIG. 9 and storing the data will be described in detail with reference to the flowchart shown in FIG. 10 and the data shown in FIG. The aggregation / distribution server 20 executes the process shown in FIG. In step S 6-1, the aggregation / distribution server 20 searches the store-specific aggregation database B of the store where the current food provision time is to be calculated, and the order reception time is the latest slip, that is, the order reception time is 200501242105. A slip whose ID is ABCa026 is extracted. In the next step S6-2, in addition to the latest slip, the order acceptance time is included between the order acceptance time of the latest slip and the time (200501242035) a certain time before (30 minutes before) the order acceptance time. Slips (slip IDs ABCa023 to ABCa025) are extracted. In the next step S6-3, the number (4) of slips extracted in steps S6-1 and S6-2 is compared with a predetermined fixed number. If the number of slips extracted is greater than a certain number, the process proceeds to step S6-5 via step S6-4, and otherwise proceeds directly to step S6-5. In step S6-4, a predetermined number of slips are extracted in order from the slips with the latest order reception time from the slips extracted in steps S6-1 and S6-2. In step S6-5, the slip extracted in steps S6-1 and S6-2 (in the case of No in step S6-3), or the slip extracted in step S6-4 (in the case of Yes in step S6-3). The total serving time is divided by the number of slips to calculate the current serving time. In the example of FIG. 6, the current cooking provision time (10.5 minutes) is calculated by dividing the total cooking provision time (42 minutes) by the number of slips (4). In the next step S6-6, the current food provision time data C-2 stored in the distribution database C is used for the current food provision time (10.5 minutes) calculated in step S6-5 and the calculation. The latest voucher order is rewritten to the order reception time (20050142105).

  Next, step S21 for calculating and storing the time average dish providing time in FIG. 9 will be described with reference to FIGS. When calculating the time average dish providing time for a slip whose order reception time is in the N o'clock range, for example, it may be calculated 2 hours after N o'clock. In step S21-1, if the current time is N + 2, the process proceeds to step S21-2. In other words, when calculating the time average dish provision time on the 24th of January, 2005 at 20:00, the process proceeds to step S21-2 when the current time is 22:00 on the same day. In step S21-2, the store total database B is searched to extract slips whose order reception time is N hours. That is, a slip whose slip reception time is 200501420XX (slip with slip IDs ABCa014 to ABCa025) is extracted. Here, the 20050124 portion of the slip acceptance time represents January 24, 2005, and the 20XX portion represents the time from 20:00 to 20:59. In the next step S21-3, a time average dish provision time (divided by the number of slips (12) extracted (12 minutes) of the total dish provision time (113 minutes) of the slips (slip IDs ABCa014 to ABCa025). 9.4 minutes). Next, in step S21-4, the calculated time average dish provision time (9.4 minutes) and the time zone in which the time average dish provision time is calculated (shown at 20 o'clock on January 24, 2005). Data of 20050142020) is added to the time average dish provision time data C-3. Next, in step S21-5, the data of the time average dish providing time in the time zone (20 o'clock range) calculated this time is extracted for the past 30 days. Next, in step S21-6, the average value of the time average dish providing time in the past 30 days is calculated by dividing the total of the time average dish providing time extracted in step S21-5 by the number of extracted data. In the next step S21-7, the average value data C-5 for the past 30 days of the time average dish providing time is rewritten to the one calculated this time.

  In FIG. 11, the time average dish provision time in the N o'clock range is calculated 2 hours after N o'clock, but the timing for executing the calculation can be arbitrarily set. In addition, the hourly average food provision time can also be obtained as an average value of two hours or three hours of food provision time, and it can be obtained for time zones with different lengths such as lunch time, tea time, dinner time, etc. Is possible. That is, the time average dish provision time may be obtained from data in a predetermined time zone. Further, instead of calculating the average value over the past 30 days, the average value may be calculated for any period such as the past week or the past year.

  Next, step S31 for calculating and storing the daily average food provision time in FIG. 9 will be described with reference to FIGS. The daily average food provision time may be calculated after the end of the business day. In step S31-1, if the business on that day (January 24, 2005) has ended, the process proceeds to step S31-2. In step S31-2, the store-by-store total database B is searched, and a slip (slip with slip IDs ABCa012 to ABCa026) whose date part of the order reception time is the current day (January 24, 2005) is extracted. Next, in step S31-3, the sum of the food provision times (2 hours and 41 minutes) of the slip (slip IDs ABCa012 to ABCa026) extracted in step S31-2 is divided by the number of slips (15). Calculate the average cooking time (10.7 minutes). Next, in step S31-4, the calculated daily average food provision time (10.7 minutes) and the data of the slip date (January 24, 2005) used for the calculation are used as the daily average food provision time data C-. Add to 4. Next, in step S31-5, the daily average food provision time data C-4 in the distribution database C is searched, and the data of the daily average food provision time for the past 30 days is extracted. Next, in step S31-6, an average value for the past 30 days of the daily average food provision time is calculated by dividing the sum of the daily average food provision time extracted in step S31-5 by the number of extracted data. Next, in step S31-7, the average value data C-6 for the past 30 days of the daily average food provision time in the distribution database C is rewritten to the average value calculated in step S31-6. Instead of calculating the average value for the past 30 days, the average value may be calculated for an arbitrary period such as the past week or the past year.

  In the system according to the present invention, the aggregation / distribution server 20 may be physically divided into the aggregation server 20-1 and the distribution server 20-2. In such a configuration, there are a plurality of aggregation servers 20-1 for each restaurant chain, and the distribution server 20-2 collects data on the plurality of aggregation servers 20-1 to generate Web pages and generate terminals. It is suitable when delivering to 31-33. Here, as shown in FIG. 4, the aggregation server 20-1 includes a central processing unit 21-1 that executes aggregation processing, and a memory 22-1 that stores an aggregation processing program for executing aggregation processing. , A store information database A, a store-by-store total database B, and a distribution device C, a storage device 23-1, and a communication device 24- that transmits and receives data between the store server 10 and the distribution server. 1. On the other hand, as shown in FIG. 4, the distribution server 20-2 performs a central processing device 21-2 that executes a distribution process including a Web page generation process and a distribution process that includes a Web page generation process. Communication for transmitting and receiving data between the memory 22-2 storing the distribution processing program, the storage device 23-2 storing the Web page data, and the aggregation server 20-1 and the terminals 31-33. It is comprised from the apparatus 24-2. Here, the aggregation server 20-1 and the store server 10 are connected by a communication network 100 or a dedicated line, and the aggregation server 20-1 and the distribution server 20-2 are connected by a communication network 100 or a dedicated line. The distribution server 20-2 and the terminals 31 to 33 are connected by a communication network 100.

  Next, in the system according to the present invention, an outline of processing when the aggregation / distribution server 20 is divided into the aggregation server 20-1 and the distribution server 20-2 will be described with reference to FIG. In FIG. 13, Steps S1 to S6, Steps S11 to S16, Step S21, and Step S31 are the same as Steps S1 to S6, Steps S11 to S16, Step S21, and Step S31 in FIG.

  The person who intends to use the restaurant 8 requests from the terminals 31 to 33 to be used via the communication network 100 to send necessary information to the distribution server 20-2 (steps S61 and S71). Here, the necessary information is, for example, information on restaurant provision time and restaurant information for restaurants that are grouped by region, restaurant chain, and Japanese cuisine. Next, the distribution server 20-2 requests the data to be sent to the aggregation server 20-1 in which data related to necessary information is stored (steps S62 and S72). The aggregation server 20-1 requested to send data sends the data to the distribution server 20-2 (steps S63 and S73). The distribution server 20-2 generates a Web page on which necessary information is described using the sent data (S64, S74), stores the generated Web page data in the storage device 23-2, and a communication network. 100 is sent to the terminals 31 to 33 that have requested to send necessary information in step S61 (or step S71) (steps S65 and S75). The terminal that has received the web page data displays the web page (steps S66 and S76). Along with the display of this Web page, the restaurant serving time of the restaurant is displayed. In addition, when the data of the web page in which the information requested from the terminals 31 to 33 is already stored in the storage device 23-2, the distribution server 20-2 stores the data of the web page. You may decide to send to 31-33.

  Here, when a request to send necessary information to the distribution server 20-2 is made from the mobile phone 32 with GPS function or the car navigation device 33 via the communication network 100, the detection is made by the GPS function. When the location information of the current location is transmitted to the delivery server 20-2, the delivery server 20-2, based on the received location information, stores the store information about the nearest restaurant and the current food provision time. You may decide to produce | generate the web page currently described and to transmit the data. In this case, the storage device 23-2 stores a location / restaurant database in which the location information and the nearest restaurant are associated with each other, and the distribution server 20-2 receives the reception by referring to the location / restaurant database. What is necessary is just to produce | generate the web page in which the information about the restaurant corresponding to the performed position information is described.

  With the dish delivery time distribution system according to the present invention, a person who intends to use a restaurant can connect to a communication network 100 such as the Internet exemplified by a personal computer 31, a mobile phone 32, and a car navigation device 33 at home. The information on the food provision time can be acquired by accessing the web page of the restaurant from a simple terminal. That is, the customer who intends to use the restaurant can know the food provision time before entering the restaurant. Further, the customer can select a restaurant to be used based on the information on the cooking provision time. Further, the current congestion status can be confirmed by comparing the current food provision time with the past time average food provision time or the past daily average food provision time.

  In the dish delivery time distribution system according to the present invention, it is possible to automate the steps from the detection of the order reception time and the dish provision time to the transmission of the dish provision time.

  According to the distribution system of the dish provision time concerning this invention, the service which provides the dish provision time about the some restaurant in a certain area collectively is attained. Such a service is useful, for example, when a businessman who has traveled far away has a limited time to have lunch and decides which restaurant to enter. In this case, information about the restaurant menu may be included in the store information data C-1. The dish delivery time distribution system according to the present invention is very convenient for a person who does not have time but wants to eat local dishes.

  In the dish delivery time distribution system according to the present invention, information on the waiting time from entering the restaurant to being guided to the seat may be transmitted to the terminals 31 to 33 together with the information on the dish provision time. . For this purpose, data regarding waiting time information may be stored in the distribution database C. In such a case, a person who wants to use a restaurant can obtain more accurate information on the time from entering the restaurant until the food is served by obtaining both information on the food provision time and information on the waiting time. Can be predicted.

  Moreover, since the provision time of a dish is announced by the distribution system of the dish provision time according to the present invention, the shortness of the provision time of the dish exerts customer attraction. And efforts to shorten the food provision time performed by restaurants will lead to the acquisition of new customers. Furthermore, in restaurants where chains are developed, the headquarters can grasp the food provision time at each store, and the information on the food provision time can be utilized for business improvement.

FIG. 1 is a block diagram showing a conventional information management system in a restaurant. FIG. 2 is a diagram showing an overview of a system according to the present invention. FIG. 3 is a diagram showing a configuration of the system according to the present invention in a restaurant. FIG. 4 is a diagram illustrating a configuration of the aggregation / distribution server. FIG. 5 is a diagram showing data stored in the store information database. FIG. 6 is a diagram showing data stored in the store-by-store total database. FIG. 7 is a diagram illustrating data stored in the distribution database. FIG. 8 is a diagram illustrating a state in which a Web page in which a restaurant serving time is described is displayed on the terminal. FIG. 9 is a time sequence diagram showing an outline of processing performed by the system according to the present invention. FIG. 10 is a flowchart showing a method for calculating the current cooking provision time. FIG. 11 is a flowchart showing a method of calculating the time average dish provision time. FIG. 12 is a flowchart showing a method for calculating the daily average food provision time. FIG. 13 is a time sequence diagram showing an outline of processing performed by the system according to the present invention when the aggregation server and the distribution server constituting the system according to the present invention are physically separated.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 ... Handy terminal 3 ... Restaurant printer 4 ... Ordering controller 4-1 ... Bar code scanner 5 ... Restaurant computer 5-1 ... LCD display part 8 ... Restaurant 10 ... Store server 11 ... Handy terminal 12 ... Order reception terminal 13 ... Bar Code reader 14 ... Printer 15 ... Transmission cable 20 ... Aggregation / distribution server 20-1 ... Aggregation server 20-2 ... Distribution servers 21, 21-1, 21-2 ... Central processing unit 22, 22-1, 22-2 ... Memory 23, 23-1, 23-2 ... Storage devices 24, 24-1, 24-2 ... Communication device 31 ... Personal computer 32 ... Mobile phone 33 ... Car navigation device 100 ... Communication network A ... Store information database B ... Store Separate aggregation database C ... Distribution database C-1 ... Store information data C-2 ... Current Food provision time data C-3 ... hour average food provision time data C-4 ... daily average food provision time data C-5 ... average value data C-6 of hour average food provision time in the past 30 days ... daily average food provision Average value data for the last 30 days of time

Claims (8)

A central processing unit for performing the first calculation;
From the first program for executing the first calculation, a store-by-store total database including food provision time data for each slip related to the food provision time for each slip of the restaurant, and the first food from the food provision time data for each slip A storage device that stores a distribution database that includes the food provision time data of the restaurant relating to the representative value of the food provision time for each slip calculated by the calculation of
A communication device that transmits the food provision time data stored in the storage device to the terminal via the communication network based on a request for the food provision time data from a terminal connected by a communication network. Dispensing time distribution system. It is a delivery system of the dish provision time of Claim 1,
A first input device;
A second input device;
An order reception terminal,
A store server,
The first input device and the second input device are both installed in the restaurant,
The first input device detects a time when the first input related to the first slip to the first input device is made as an order reception time,
The second input device outputs a signal based on a second input relating to the first slip to the second input device;
The order reception terminal detects the time when the output signal is received as a food provision time,
The store providing system distributes food provision time data for each previous term slip from the detected order reception time and the detected food provision time by the second calculation. It is a delivery system of the dish provision time of Claim 2,
The food provision time data includes current food provision time data related to the current food provision time,
The current food provision time data is
From the most recent first voucher for a certain time before the first voucher, and from each dish voucher serving time data relating to the first voucher within a certain number selected in order from the newest voucher The delivery system of the dish provision time calculated by the first calculation. It is a delivery system of the dish provision time of Claim 3,
The food provision time data is
Hourly average food provision time data,
Including daily average serving time data and
The time average dish provision time data is calculated from the dish per dish provision time data related to the first slip in a predetermined time zone by the first calculation,
The daily average dish provision time data is a dish serving time distribution system calculated from the dish-specific dish provision time data related to the first slip for one day by the first calculation. It is a delivery system of the dish provision time as described in any one of Claims 2 thru | or 4,
The first input device is a handy terminal carried and used by a customer service representative of the restaurant,
The second input device is a bar code reader used in the restaurant. It is the distribution system of the dish provision time as described in any one of Claims 1 thru | or 5,
The storage device stores a Web page generation program for generating a Web page,
The central processing unit generates the web page on which the dish provision time data is described,
The communication device performs the transmission by transmitting Web page data that is data of the Web page,
The communication network is the Internet,
The web page data is described in HTML format or XHTML format. It is a delivery system of the dish provision time as described in any one of Claims 1 thru | or 6,
The terminal is a mobile phone with a GPS function or a car navigation device,
The communication apparatus performs the transmission by transmitting the dish provision time data corresponding to the terminal position information that is the current position information of the terminal received from the terminal. It is the delivery system of the dish provision time as described in any one of Claims 1 thru | or 7,
The database for distribution includes waiting time data in the restaurant,
The communication device transmits the food provision time data and the waiting time data to the terminal via the communication network.

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