JP2004295689A - Service efficiency evaluation program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a store efficiency evaluation program capable of automatically presenting an objective index for service efficiency for individual furniture layout plans or an allocation plan of waiters. <P>SOLUTION: A CPU 10 arranges a furniture shape shown by furniture CAD data corresponding to a designated piece of furniture on a floor shape shown by store plan view CAD data in the same scale, detects a passage corresponding to a space in which a waiter is movable within a space formed between the outer edge of the floor shape after arrangement and the furniture shape, and disposes an object showing an employee shown by specific information inputted to an input device 13 on this passage. A probable order in each table in a time zone inputted to the input device 13 is virtually generated at a predetermined probability, the motion of each waiter object for treating each generated order through the passage is simulated based on employee information, and the simulated motion of each waiter object is quantified as an evaluation numerical value. <P>COPYRIGHT: (C)2005,JPO&NCIPI

Description

[0001]
TECHNICAL FIELD OF THE INVENTION
The present invention relates to a service efficiency evaluation program for evaluating the layout of furniture and the arrangement of waiters in a restaurant using a CAD system.
[0002]
[Prior art]
The layout of furniture in a restaurant or other restaurant determines the seating position of the customer, and also determines the travel route of the waiter formed between the furniture itself and the seating position of the customer. It is closely related to the response speed, the degree of satisfaction and turnover associated with it. Therefore, from the viewpoint of service efficiency, it is necessary to determine an optimal layout that can improve them in consideration of the floor shape and area of the store, the shape of furniture, and the like.
[0003]
On the other hand, the arrangement of waiters (the number of waiters, the work schedule of each waiter) is closely related to the speed of responding to customer orders and the degree of satisfaction and turnover associated therewith. Even high-paying workers cannot work beyond standard working hours, and low-capacity serving personnel must continue to use them unless they have a reason to be fired. Therefore, the arrangement of the waiters must be determined so as to maximize the service efficiency in consideration of the degree of congestion of the shop in each time zone, the balance of the ability of the waiters, and the like.
[0004]
Conventionally, such furniture layouts and waiter arrangements are based on experience by a person (manager, etc.) who understands the physical conditions such as the floor shape and area of the store and the shape of the furniture, and the ability of each waiter. Was determined sensuously. Therefore, when the decision makers are changed, the layout of the furniture and the arrangement of the waiters may be changed unnecessarily. When the furniture layout and the arrangement of waiters change in this way, the above-described customer satisfaction and turnover rate, further, the fatigue level of the waiters, and finally, the sales of the restaurant change. This should happen just fine, but there is no established method for determining the most appropriate fixture layout or waiter placement, so in many cases the furniture layout will only be available once the sales of the restaurant have fallen. They noticed that the service and waiters were not properly positioned, and in the meantime they tend to suffer irreparable damage.
[0005]
In order to solve this problem and eliminate human sensory judgment as much as possible, various ideas for performing simulations according to computer programs have been proposed. For example, the following Patent Document discloses a method of executing a simulation of product sales in a store by a simple algorithm to provide information on product arrangement and sales environment.
[0006]
[Patent Document 1] JP-A-11-259570
[0007]
[Problems to be solved by the invention]
However, even with the methods described in the above-mentioned patent documents, since an index as to whether or not the furniture layout and the arrangement of the waiters are appropriate is not shown, it was not possible to evaluate the superiority of the service efficiency brought by them.
[0008]
The present invention has been made in view of the above-described problems in the related art, and an object of the present invention is to make it possible to specify the furniture layout and the arrangement of waiters that can maximize the service efficiency of a restaurant. Another object of the present invention is to provide a store efficiency evaluation program capable of automatically presenting an objective index regarding service efficiency with respect to individual furniture layout plans and waiter arrangement plans.
[0009]
[Means for Solving the Problems]
A computer that reads the service efficiency evaluation program according to the present invention devised to solve the above problem is a computer connected to a storage device and an input device. In this storage device, at any timing, store floor plan data indicating the floor shape of the store, furniture data indicating the furniture shape of the furniture including the table, and wait information indicating the ability of each waiter are stored. Is done. Then, the service efficiency evaluation program causes the computer to read the number of each type of furniture input through the input device, the specific information of serving, and the simulation target time zone, respectively, and read the floor shape indicated by the shop floor plan data. On the same scale, at the same scale, the furniture shapes indicated by the furniture data corresponding to the types of the furniture are arranged by the number, and a space formed between the outer edge of the floor shape and each of the furniture shapes after arrangement. Inside, a passage corresponding to the space in which the waiter can move is detected, and on the detected passage, an object indicating the waiter indicated by the specific information is arranged, and in each of the tables corresponding to the furniture shape in the time period. An order to be obtained is virtually generated with a predetermined probability, and the operation of each waiter object for processing each generated order through the passage, It is simulated according to the capabilities of each serving indicated specifications information, to quantify the operation of each serving an object of simulations as an evaluation value.
[0010]
With such a configuration, the furniture shape of the furniture indicated by the furniture data is arranged on the floor shape of the store indicated by the store floor plan data, and formed between the outer edge of the floor shape and each furniture shape. A passage in which the waiter moves is detected in the space to be served. Then, when an order that can occur in each table corresponding to the shape of the furniture is virtually generated with a predetermined probability in the time period, an operation of each waiter for processing each generated order is performed by an object indicating each waiter. It is simulated in the restriction of moving up. The simulated serving operation is quantified as an evaluation value. Therefore, by comparing the evaluation values, it is possible to compare the service efficiency for each combination of each furniture layout and each wait arrangement in each time zone. Through this comparison, it is possible to objectively find the optimum furniture layout and waiter arrangement.
[0011]
In the present invention, when arranging the furniture shape on the floor shape, each furniture shape may be arranged at a position along the arrangement instruction input to the input device, or an arrangement pattern prepared in advance. Each fixture shape may be arranged at a position according to the above. According to the former, a detailed furniture layout becomes possible, and according to the latter, an optimal arrangement pattern can be immediately known.
[0012]
In the present invention, when a passage is detected, only a passage having a width equal to or greater than the minimum width indicated by this information may be detected based on information specifying the minimum width of the passage. In this way, it is possible to prevent a problem that the passage is detected in a space where the waiter cannot actually move. If the space indicated by this passage includes the seating position of the customer who actually sits on the table, the waiter cannot move. In order to solve such a problem, it is only necessary to mask a fixed width from the edge where the customer sits in the furniture shape corresponding to the table as the one corresponding to the seating position.
[0013]
In the present invention, when virtually generating an order that can occur in each table, the order may be generated with a probability according to the customer tendency in each time zone, or a customer frequency or a predetermined customer frequency may be determined for each type of table. It may be generated with a probability according to the order occurrence frequency.
[0014]
BEST MODE FOR CARRYING OUT THE INVENTION
Hereinafter, embodiments of the present invention will be described with reference to the drawings.
[0015]
Embodiment 1
FIG. 1 is a block diagram schematically showing a hardware configuration of a computer which is an embodiment of a service efficiency evaluation program according to the first embodiment of the present invention. As shown in FIG. 1, the computer 1 includes a CPU (Central Processing Unit) 10 for controlling the entire apparatus, a display device 11 connected to the CPU 10 via a bus B, and a RAM (Random Access Memory). 12, an input device 13, and a disk device 14. The display device 11 is a device for displaying a screen generated by the CPU 10, the input device 13 is a device for inputting various commands and data to the CPU 10, and the RAM 12 is used by the CPU 10. The main storage device in which the work area is expanded.
[0016]
The disk device 14 is a computer-readable medium such as a hard disk that stores various programs and various data. The various programs stored in the disk device 14 include a service efficiency evaluation program 20 which will be described later with reference to flowcharts, in addition to an OS (Operation System) and various device drivers which are basic programs. The various data stored in the disk device 14 are tables (store information 31, furniture, etc.) in which various data input by the operator through the input device 13 are recorded because the CPU 10 is required to execute the work progress program 20. (Information 32, employee information 33, visitor information 34, input information 35), and various CAD data and image data described later.
[0017]
The store information 31 is information on a store as a target of the service efficiency evaluation according to the service efficiency evaluation program 20. FIG. 2 is a table schematically showing the data structure of the shop information 31. As shown in FIG. 2, the store information 31 is roughly divided into basic information on a profile of a store to be evaluated and geometric information on data used for service efficiency evaluation. Specifically, the basic information of the store information 31 includes the name, address, telephone number, facsimile number, responsible person (manager, manager, manager, etc.), management form (restaurant, izakaya, etc.), Etc. are included. Further, the geometric information of the store information 31 is further divided into a path of the CAD data or image data of the store plan view in the disk device 14, a path of furniture CAD data, and a layout parameter. The path of the furniture CAD data includes paths in the disk device 14 for CAD data of various furniture (for example, tables and partitions of various sizes) that can be laid out in the store. The layout parameters include various conditions in laying out the CAD data of various furniture in the shop floor plan (a space determined to be a minimum distance and a passage in each direction of furniture in consideration of a seating position of a customer in a table. (The minimum width of the space excluding the above-mentioned minimum interval), etc.).
[0018]
Furniture information 32 is information about attributes of each furniture whose geometric information of the shop information 31 includes the CAD data path. FIG. 3 is a table schematically showing a data structure of the furniture information 32. As shown in FIG. 3, the furniture information 32 includes, for each furniture, the furniture name, the furniture type (table, partition, etc.), the height when the furniture is a partition, and the furniture. Is a table, the maximum number of seated persons, the average order occurrence frequency (the number of order occurrences per hour, for example, in a large table, the order occurrence frequency is increased because a plurality of groups often share a table. In the case of people's seats, couples often talk with each other, so order occurrence frequency decreases) and average customer service time due to serving (the number of orders increases in proportion to the number of seated people, so the average customer service time increases), etc. include.
[0019]
The employee information 33 is specific information on each employee who works as a waiter at the store to be evaluated. FIG. 4 is a table schematically showing a data structure of the employee information 33. As shown in FIG. 4, the employee information 33 includes, for each employee, its name, address, home telephone number, other personal information, and rank of the employee (A, B, C,...). , The unit price of the employee (hourly wage, A: $ 2,000-, B: $ 1,500-, C: $ 1,000-, ...), and the customer service efficiency (the ratio to the standard customer service time, A: 0. 8, B: 0.9, C: 1.0,...).
[0020]
In addition, the visitor information 34 includes, for each store location condition and each store type, a relative relationship between respective elements such as a time zone, the number of people per group, the number of orders per group, and the number of people per group. Is information indicating a visitor tendency obtained by statistically processing. Here, the visitor tendency will be described. For example, if the store is a izakaya, the frequency of occurrence of orders at each table is high, and the time required for serving dishes, drinks and the like after receiving the order is relatively short. In addition, the number of visitors is concentrated from the evening to midnight, and the number of times of employee service at that time increases, and the service time becomes longer. On the other hand, if the store is a restaurant, the frequency of ordering at each table is lower than that of a pub or the like, and the time required from receiving an order to serving food is relatively long. In addition, although the number of customers is large during the night, the difference from the daytime is smaller than that of a izakaya, and the number of times and length of service of employees do not fluctuate so much throughout the day. In this way, by taking into account parameters such as the frequency of occurrence of orders, the number of times of service at each table, the number of times of service, and the frequency of visitors according to the time zone, for each store type of the store, order generation at each table of the store is considered. You can simulate trends. FIG. 5 illustrates a part of the relative relationship between elements included in the visitor information 34.
[0021]
The input information 35 is information on the time condition of the service efficiency evaluation. Specifically, the input information 35 includes a time zone to be verified (for example, 17:00 to 22:00), intervals of target times for performing the simulation (60 minutes, 30 minutes, 15 minutes,...), And the like. It is included.
[0022]
Hereinafter, the processing (service efficiency evaluation processing) executed by the CPU 10 that reads the service efficiency evaluation program 20 onto the RAM 12 and operates according to the service efficiency evaluation program 20 will be described with reference to the flowcharts of FIGS. 6 to 9 and FIGS. This will be described with reference to a screen example. The service efficiency evaluation program 20 includes a wizard program module and a CAD program module described later.
[0023]
In the first step S001 after starting the service efficiency evaluation process, the CPU 10 executes a process of inputting store information 31, furniture information 32, employee information 33, and visitor information. Specifically, the CPU 10 sequentially displays input screens provided with input fields for inputting these pieces of information, and specifies the information 31 to 34 input to each input field and the information (path) specified by the information (path). A wizard program for storing files (CAD data files and image data files) in the disk device 14 is executed. If any of the information 31 to 34 or the file is already stored in the disk device 14 and it is not necessary to modify it, the wizard program executes the disk device 14 for the information 31 to 34 or the file. Can be skipped.
[0024]
In the next step S002, the CPU 10 checks whether a CAD data file or an image data file of the store floor plan is stored in the disk device 14. If the CAD data file or the image data file of the plan view exists, the CPU 10 starts the CAD program module in S003 and reads the CAD data or the image data in the file. On the other hand, if the CAD data file or the image data file of the floor plan does not exist, the CPU 10 activates the CAD program module in S004 and causes the operator to create the CAD data of the store floor plan. When S003 or S004 is completed, the CPU 10 advances the processing to S005.
[0025]
In S005, the CPU 10 displays a layout screen using the CAD program module based on the CAD data or the image data read in S003 or created in S004. As shown in FIG. 10, the layout screen includes a store plan view frame 41 for displaying a store plan view based on CAD data or image data, and a plurality of off-screens that can be dragged and pasted on the store plan view. It comprises an object frame 42 on which a subject is displayed and a button frame 43 on which buttons are displayed. In the example of FIG. 10, the store plan view displayed in the store plan view frame 41 is in a state after execution of S006 described later, and thus indicates “placement range”. , “Placement range” is not displayed. The objects displayed in the object frame 42 are furniture objects displayed based on the furniture CAD data indicated by the furniture CAD data path included in the store information 31. At the time of execution of S005, a “passage” button 44 is displayed in the button frame 43. Upon completing S005, the CPU 10 advances the processing to S006.
[0026]
In S006, the CPU 10 executes an arrangement range setting process. The arrangement range setting process is a process for defining a region (arrangement range of furniture such as a table) corresponding to the customer service space in the store plan view displayed in the store plan view frame 41. Specifically, the CPU 10 allows the operator to specify the position of each vertex for defining the arrangement range as a polygon using the input device (mouse) 13, and connects the specified vertices to arrange the positions. A range is defined and colored in the store plan view as shown in FIG.
[0027]
Subsequently, the CPU 10 executes a loop process of S007 to S010 in order to arrange (drag and drop) the furniture objects displayed in the object frame 42 in the arrangement range set in S006. In the first step S007 after entering the loop processing, the CPU 10 checks whether or not the operator has selected any furniture object in the object frame 42 by dragging using the input device (mouse) 13. If none of the furniture objects has been selected, the CPU 10 advances the processing to S011 as it is. On the other hand, when any furniture object is selected, the CPU 10 advances the processing to S008.
[0028]
In S008, the CPU 10 reads the furniture information 32 corresponding to the selected furniture object from the disk device 14.
[0029]
In the next S009, the CPU 10 arranges the furniture object at the position where the furniture object is dropped in the arrangement range. FIG. 11 shows an example of a state in which furniture objects are arranged in the arrangement range in this manner. The example of FIG. 11 shows a state where six tables 1 for two persons are arranged in the arrangement range. Note that when an instruction to rotate the furniture object is input via the input device 13 (for example, a click button other than for dragging is pressed), the CPU 10 moves the placed furniture object to a predetermined angle (for example, 45 degrees). Rotate one by one. In the state where the furniture objects are arranged in the arrangement range in this manner, the scale of each furniture object completely matches the scale of the store plan view corresponding to the actual dimensions. Therefore, the CAD program module can accurately grasp the position of the furniture in the store, the interval between the furniture and the wall surface, and the interval between the furniture. Upon completion of S009, CPU 10 advances the process to S010.
[0030]
In S010, the CPU 10 checks whether or not the passage button 44 has been pressed. If the passage button 44 has not been pressed yet, the process returns to S007 to check whether a furniture object has been newly selected. As a result of repeating the above loop processing S007 to S010, when all the planned furniture objects have been arranged in the arrangement range, the operator presses the “passage” button 44 using the input device 13. Then, the CPU 10 advances the processing from S010 to S011.
[0031]
In S011, the CPU 10 reads the layout parameters (minimum passage width, minimum furniture interval) in the store information 31 from the disk device 14.
[0032]
In the next step S012, each furniture object in the shop floor plan is searched to detect a space that can be a passage. In this case, the CAD program module sets a space having a width defined by the minimum furniture interval from a predetermined edge of the table as a seating space for the customer. Then, the CPU 10 detects a portion having a width equal to or larger than the minimum passage width as a space that can be a passage in the space in which the furniture objects and the seating space are masked, and colors the detected passage in the store plan view. FIG. 12 shows an example of a layout screen in a state where a space is detected in this manner. As shown in FIG. 12, at this point, the object frame 42 is blank, and the button frame 43 displays an “employee selection” button 45. When the "select employee" button 45 is pressed, the CPU 10 advances the processing to S013.
[0033]
In S013, the CPU 10 displays the employee selection screen shown in FIG. 13 on the display device 11 as a separate dialog from the layout screen, and executes the employee selection processing. On this employee selection screen, a plurality of employee name selection combo boxes 47 for selecting the employee names of the employees to be arranged are arranged vertically. The employee name selection combo box 47 includes a drop-down list box in which names of all employees in the employee information 33 are listed. Further, on the left side of each employee name selection combo box 47, an “place” check box 46, which is checked to validate the content selected in the corresponding employee selection combo box 47, is displayed. . Further, an "arrangement" button 48 and a "cancel" button 49 are displayed near the lower edge of the employee selection screen. The operator selects all the employee names to be engaged in the simulation target time zone in the respective employee name selection combo boxes 47, and checks (by clicking) the “place” checkbox 46 corresponding to them. When a check mark is displayed), the CPU 10 fetches one or a plurality of employee names selected in the respective employee name selection combo boxes 47 corresponding to the respective check boxes 46 checked at that time, and performs processing. From S013 to S014.
[0034]
In S014, the CPU 10 reads the employee information 33 corresponding to each employee name taken in S013 from the disk device 14. As shown in FIG. 13, the thus read employee information (employee rank, customer service efficiency) 33 is displayed in the employee selection combo box where the corresponding employee name is selected on the employee selection screen. It is displayed to the right of 46. When the operator presses the “cancel” button 50, the CPU 10 returns the process to the initial state of S017, and when the “place” button 48 is pressed, the process proceeds to S015.
[0035]
In the next S015, the CPU 10 executes an employee allocation process on the layout screen. In this employee arrangement process, as shown in FIG. 14, one or a plurality of employee objects 47 to which each employee name selected in S013 is assigned are displayed in the object column 42 of the layout screen. An “input condition” button 46 is displayed in the button frame 43. The operator can use the input device 13 to drag any employee object 47 in the object frame 42 and drop it on the aisle in the store plan view. FIG. 14 shows a state where one employee is arranged in the store plan view. However, unlike the furniture objects in S007 to S009, each employee object 47 can be selected only once. When the operator presses the “input condition” 46 in a state where the planned employees have been arranged, the CPU 10 advances the processing to S016.
[0036]
In S016, the CPU 10 displays the input condition input screen shown in FIG. 15 on the display device 11 as a separate dialog from the layout screen, and executes the condition input processing. In this input condition input screen, a time zone text box group 50 for inputting a start time and an end time of a time zone to be verified in the input condition 35, and an object for inputting an interval [minute] of the simulation target time. A time interval text box 51 and an “OK” button 52 are included. When the operator presses the “OK” button 52 while input conditions 35 are input to the respective text boxes 50 and 51 using the input device 13, the CPU 10 fetches the input input conditions 35 and advances the processing to S017. .
[0037]
In S017, the CPU 10 reads the address, the store type, and the layout parameters in the store information 31 from the disk device 14.
[0038]
In the next S018, the CPU 10 reads the visitor information 34 from the disk device 14.
[0039]
In the next S019, the CPU 10 stores the shop floor plan (CAD data) displayed in the shop floor plan frame 41 on the layout screen, the furniture information 32 read in S008, the employee information 33 read in S014, and S016. The simulation processing is executed based on the input conditions 35 input by the user, the store information 31 read in S017, and the visitor information 34 read in S018. FIG. 8 is a flowchart showing the processing contents of the simulation processing subroutine executed in S019.
[0040]
In the first step S101 after entering this subroutine, the CPU 10 specifies one furniture object on the shop floor plan (CAD data) displayed in the shop floor plan frame 41 on the layout screen.
[0041]
In the next S102, the CPU 10 checks whether the furniture object identified in S101 is a table object or a partition object. Then, the CPU 10 advances the process to S105 if the object is a furniture object of a partition, and advances the process to S103 if the object is a furniture object of a table.
[0042]
In S103, the CPU 10 determines, based on the furniture information (average order occurrence frequency, average customer reception time) 32, the arrangement position on the shop floor plan, and the visitor information 34, which were read in S008 for the furniture object identified in S101. An attribute value unique to the table corresponding to the furniture object (order occurrence frequency calculated by correcting the average order occurrence frequency by each parameter in the customer information 34, and average customer reception time is corrected by each parameter in the customer information 34). Waiting time calculated in this way) is set.
[0043]
In the next S104, the CPU 10 calculates a coefficient (probability for determining whether an order is to be generated or not) to be used in an order generation routine (S106) described later, based on the attribute value unique to the table set in S103. Is calculated. When S104 is completed, the CPU 10 advances the processing to S105.
[0044]
In S105, the CPU 10 checks whether or not the processing of S101 to S104 has been performed on all furniture objects on the shop floor plan (CAD data) displayed in the shop floor plan frame 41 on the layout screen. Then, when there is an unprocessed furniture object, the CPU 10 returns the processing to S101. On the other hand, if the processing has been completed for all the furniture objects on the shop floor plan (CAD data) as a result of repeating the processing loop from S101 to S105, the processing proceeds to S106.
[0045]
In S106, the CPU 10 initializes a time pointer for designating a time point in the verification target time zone according to the start time of the verification target time zone.
[0046]
In the next S107, the CPU 10 determines the unit time zone specified by dividing the time zone indicated by the “verification target time zone” in the input condition 35 input in S016 by the time width indicated by the “simulation target time”. , One from the earliest one. Here, the specification of the simulation target time zone is performed in an order independent of the time pointer. Then, the CPU 10 executes, for each table, an order generation routine for calculating how many times (including zero times) the order is generated during the specified simulation target time zone. When executing the order generation routine for each table, the CPU 10 uses the coefficient calculated in S104 for the table and, based on the probability calculated based on the coefficient, displays the table of the simulation target time zone in the table. It determines whether or not an order will be placed in between, and if so, how many times. When the order generation routine in S106 is executed for the second time or later, the execution results of S107 for each table before the previous time are also added to the order generation routine. When S107 is completed, the CPU 10 advances the processing to S108.
[0047]
In S108, it is checked whether or not it has been calculated as a result of the processing in S107 that one or more orders are generated for any of the tables. If it is not calculated that an order is to be generated for any of the tables, the CPU 10 advances the processing to S111. On the other hand, when it is calculated that one or more orders are generated for any of the tables, the CPU 10 advances the processing to S109.
[0048]
In S109, the order reception process is started in parallel for each employee selected in S013, and the order reception process is executed for each order calculated in S107. When the order receiving process is started in S109, the CPU 10 waits in the next step 110 for the processing for all orders calculated in S107 to be completed.
[0049]
FIG. 9 is a flowchart showing the processing contents of the order receiving process executed for each employee. In the first step S201 after the order receiving process starts, the CPU 10 reads the time point indicated by the current time pointer.
[0050]
In the next S202, the CPU 10 remains as an unprocessed one from the current position of the employee object 47 corresponding to the employee in the store plan view (in the initial state, the initial position arranged by the operator). The moving distance (moving distance along the path detected in S012) to each table where all the orders (orders virtually generated according to the calculation result of the order generating routine) are generated, respectively. It is calculated (see FIG. 16).
[0051]
In the next step S203, the CPU 10 processes orders virtually generated on the table having the shortest moving distance calculated in step S202 (excluding orders determined to be processed by other order receiving processes). Determined as the target. Then, the moving distance to the table where the determined order is virtually generated (the order table to be processed) is substituted for the variable α.
[0052]
In the next step S204, the CPU 10 multiplies the customer service time set in S103 for the processing target order table by the customer service efficiency in the employee information 33 read in S014 for the employee, so that the employee can place the order in question. Calculate the customer service time required to receive the service. Then, the service time is recorded.
[0053]
In the next step S205, the CPU 10 calculates the moving distance from the processing target order table to the kitchen (the moving distance along the passage detected in S012). Then, the calculated moving distance is substituted for a variable β.
[0054]
In the next step S206, the CPU 10 adds the values of the variables α and β to the total travel distance (unit is meters, zero in the initial state) of the employee corresponding to the order receiving process.
[0055]
In S207, the CPU 10 records the time difference from the start time of the simulation target time zone to the time point indicated by the time pointer read in S201 as the waiting time (second) for the order.
[0056]
In the next S208, the CPU 10 changes the current position of the employee to the kitchen in the store plan view. The CPU 10 advances the time point indicated by the time pointer read in S201 by the movement time (second) calculated by multiplying the sum of the values of the variables α and β by “2”. It is checked whether the pointer is ahead of the time point indicated by the pointer. If the former is ahead of the latter, the time pointer is advanced to the time point indicated by the former. Upon completing S208, the CPU 10 advances the processing to S209.
[0057]
In S209, the CPU 10 checks whether or not the processing for all the orders calculated to occur in S107 has been completed. If the processing for all the orders has not been completed yet, the CPU 10 returns the processing to S201 to execute the processing for the next order. On the other hand, if the processing for all the orders calculated to occur in S107 is completed, the processing proceeds to S210.
[0058]
In S210, the CPU 10 checks whether or not the current time point indicated by the time pointer is within the next or later simulation target time zone. If the time point indicated by the current time pointer is within the subsequent simulation target time zone, the CPU 10 immediately processes the order generated in the next simulation target time zone because the processing for the order is delayed. Then, the order reception process is terminated. On the other hand, if the time point indicated by the current time pointer is within the subsequent simulation target time zone, since all orders have been swept once, the process proceeds to S211 to move the employee to the initial position. Proceed.
[0059]
In S211, the movement distance (movement distance along the passage detected in S012) of the employee object 47 corresponding to the employee from the current position (kitchen) to the initial position in the store plan view is calculated. Then, the calculated moving distance is substituted for a variable γ.
[0060]
In the next step S212, the CPU 10 adds the value of the variable γ to the total travel distance of the employee.
[0061]
In the next step S213, the CPU 10 changes the current position of the employee to the initial position. When S213 is completed, the CPU 10 ends the order receiving process.
[0062]
When the all order receiving process executed for all the employees is completed, the CPU 10 determines that the processing for all the orders calculated to be generated in S107 is completed, and advances the processing from S110 to S111.
[0063]
In S111, the CPU 10 executes a process for moving up the time pointer. Specifically, if the time point indicated by the current time pointer is within the subsequent simulation target time zone, the CPU 10 does not execute any processing, but the time point indicated by the current time pointer indicates the next simulation target time zone. If earlier, the time pointer is advanced to the start of the next simulation target time zone.
[0064]
In the next S112, the CPU 10 checks whether or not the processing of S107 to S111 has been completed for all simulation target time zones within the verification target time zone in the input condition 35. Then, if the processing for all the simulation target time zones has not been completed, the CPU 10 returns the processing to S107 in order to execute the processing for the next simulation target time zone. On the other hand, when the processing for all the simulation target time zones has been completed, the CPU 10 ends the simulation processing subroutine and returns the processing to the main routine of FIG.
[0065]
In the main routine of FIG. 7 to which the processing has been returned, the CPU 10 advances the processing from S019 to S020. In S020, the CPU 10 calculates each evaluation value. For example, the CPU 10 calculates the average value of the total moving distance recorded for each employee as “average moving distance (m)”. Further, the average value of all the customer service times recorded in S204 for each employee and for each order is calculated as “average customer service time (seconds)”. Further, the average value of the waiting time of all orders recorded in S207 for each employee and each order is calculated as “average waiting time (second)”. The “average number of orders” is calculated by dividing the number of all orders generated as a result of the execution of S107 in each of the simulation processing subroutines of FIG. 8 by the number of all tables.
[0066]
In the next S021, the CPU 10 displays each evaluation value calculated in S020 on the display device 11. FIG. 17 is a view showing an evaluation value display screen for displaying each of these evaluation values. The evaluation numerical value display screen further includes an "OK" button 53, a "layout review" button 54, an "employee review" button 55, and a "condition review" button 56.
[0067]
In the next S022, the CPU 10 waits for any one of the buttons 53 to 55 in the evaluation numerical value display screen to be pressed. Then, when the “layout review” button 54 is pressed, the CPU 10 returns the processing to S006 and starts over from the arrangement range setting processing. When the “employee review” button 55 is pressed, the CPU 10 returns the process to S013 and starts over from the employee selection process. If the “condition review” button 56 is pressed, the CPU 10 returns the process to S016, and starts over from the condition input process. In response to this, when the “OK” button 53 is pressed, the CPU 10 ends the processing by the service efficiency evaluation program 2.
[0068]
As described above, according to the present embodiment, the operator inputs in advance information 31 to 34 about items that cannot be easily changed, such as the location and floor shape of the store, fixtures owned, employees, and the like. By arranging the furniture layout as appropriate and selecting employees as appropriate for each time zone (verification target time zone), simulating orders generated in each table during that time zone due to such furniture layout In addition to simulating the customer service time required to process these orders depending on the staffing, the objective evaluation value (average travel distance, average customer service time, average waiting time, average number of orders, etc.) that indicates service efficiency. Can be calculated and displayed. Therefore, the operator calculates the evaluation numerical values for all the time zones during the business hours, so that the evaluation numerical values calculated for all the time zones are on average the best furniture layout and the optimum employee layout. The assignment (work schedule of each employee) can be found.
[0069]
Embodiment 2
The second embodiment of the present invention differs from the above-described first embodiment only in the processing content of the service efficiency evaluation program 20, and has a common hardware configuration of the computer 1 and a common data structure of the data 31 to 35. I have to.
[0070]
In the above-described first embodiment, the operator manually lays out the furniture objects and simulates the furniture objects to find out the optimal furniture layout. In the second embodiment, the operator automatically lays out the furniture objects and performs simulation. And automatically determine an optimal furniture layout.
[0071]
Hereinafter, processing (service efficiency evaluation processing) executed by the CPU 10 according to the service efficiency evaluation program 20 in the second embodiment will be described with reference to the flowcharts of FIGS. 18 and 19 and screen examples of FIGS. I do. The service efficiency evaluation program 20 also includes a wizard program module and a CAD program module described later.
[0072]
In the first S301 to S306 after the service efficiency evaluation process is started, the CPU 10 executes the same processes as S001 to S006 in the above-described first embodiment.
[0073]
In the next step S307, the CPU 10 executes a furniture type / number specification process. The furniture type / number specification process is a process for the operator to specify the number of each type of furniture (table) desired to be laid out in the store. Specifically, the CPU 10 displays the furniture specifying screen shown in FIG. The furniture specification screen includes a number input text box 57 for inputting the number of each table type, and includes an "employee" button 58 and a "cancel" button 59. When the operator presses an “employee” button 58 with one or more numbers entered in any of the number entry text boxes 57 on the furniture designation screen, the number entry text box 57 in which one or more numbers are entered Is specified to be laid out by the number of tables indicated by the number. After the completion of S307, the CPU 10 advances the processing to S308.
[0074]
In S308, the CPU 10 displays the employee selection screen shown in FIG. 13 on the display device 11 and executes the employee selection process, similarly to S013 in the first embodiment.
[0075]
In the next step S309, the CPU 10 reads the layout parameters (minimum passage width, minimum furniture interval) in the store information 31 from the disk device 14. After the completion of S309, the CPU 10 advances the processing to S310.
[0076]
In S310, the CPU 10 displays the input condition input screen shown in FIG. 22 on the display device 11 as a separate dialog from the layout screen, and executes the condition input processing. On this input condition input screen, a time zone text box group 60 for inputting a start time and an end time of a time zone to be verified in the input condition 35, and an object for inputting an interval [minute] of the simulation target time. Includes a time interval text box 61, a priority evaluation numerical value combo box group 62 for designating the priority of evaluation numerical values to be considered with priority when specifying an optimal layout pattern, and an "OK" button 63. Have been. When the operator presses the “OK” button 63 while inputting the input condition 35 into each of the text boxes 60 and 61 using the input device 13 and inputting the type of the evaluation numerical value into the priority evaluation numerical value combo box group 62, the CPU 10 Then, the input condition 35 is input, the priority of the type of the specified evaluation value is identified, and the process proceeds to S311.
[0077]
In S311, the CPU 10 reads the address, the store type, and the layout parameters in the store information 31 from the disk device 14.
[0078]
In the next S312, the CPU 10 reads the visitor information 34 from the disk device 14.
[0079]
Subsequently, the CPU 10 executes a loop process from S313 to S319 for each layout pattern. FIG. 21 shows an example of each layout pattern assumed here.
[0080]
In the first step S313 after entering the loop processing, the CPU 10 specifies one unspecified layout pattern among a plurality of layout patterns prepared in advance.
[0081]
In the next step S314, the CPU 10 executes an automatic furniture arrangement process. The furniture fixture automatic arrangement processing is to automatically display the fixture objects of each type of table designated in S307 by the number designated respectively in accordance with the layout pattern specified in S313. This is a process of arranging in the arrangement range.
[0082]
In the next step S315, the CPU 10 searches for each furniture object in the store plan view and detects a space that can be a passage, as in S012 in the first embodiment.
[0083]
In the next step S316, the CPU 10 executes an automatic employee allocation process. The automatic employee placement process is a process of placing the employee object 47 corresponding to each employee selected in S308 on the passage detected in S315. FIG. 23 shows the furniture in the case where nine tables for two persons are specified in S307, two employees are selected in S308, and the “U-shaped” layout pattern shown in FIG. 21 is specified in S316. It is an example of arrangement of an object and an employee object 47.
[0084]
In the next step S317, the CPU 10 reads from the disk device 14 the furniture information 32 of each table specified in S307 and the employee information 33 of each employee selected in S308.
[0085]
In the next step S318, the CPU 10 performs an automatic furniture arrangement process based on the input condition 35 input in step S310, the shop information 31 read in step S311, the customer information 34 read in step S312, and step S314. Similar to S019 in the first embodiment, a simulation process is executed on the basis of the store floor plan (CAD data) on which the automatic staffing processing has been performed and the furniture information 32 and the employee information 33 read in S317. .
[0086]
In the next step S319, the CPU 10 calculates each evaluation value based on the result of the simulation processing in step S318, as in step S020 in the first embodiment.
[0087]
When the loop processing from S313 to S319 is completed for all the layout patterns prepared in advance, the CPU 10 advances the processing to S320.
[0088]
In S320, the CPU 10 compares the evaluation values calculated in S319 for each layout pattern with weights in the order of the priority input in S310. As a result of such a comparison, a layout in which the comprehensive evaluation of the weighted evaluation values is the best (store floor plan in which furniture and furniture automatic arrangement processing is performed in S314 and employee automatic arrangement processing is performed in S316) is shown. , On the display device 11. The screen (not shown) for displaying the layout includes an “OK” button, an “employee review” button, and a “condition review” button.
[0089]
In the next step S321, the CPU 10 waits for any button to be pressed. Then, when the “employee review” button is pressed, the CPU 10 returns the process to S308, and starts over from the employee selection process. When the “condition review” button is pressed, the CPU 10 returns the process to S310 and restarts from the condition input process. In response to this, if the “OK” button is pressed, the CPU 10 ends the processing by the service efficiency evaluation program 2.
[0090]
As described above, according to the present embodiment, the operator is prepared in advance without having to manually arrange and make various adjustments to furniture objects and employee objects as compared with the first embodiment described above. Although within the range of the layout pattern, the furniture objects and the employee objects are automatically arranged on the shop floor plan only by the operator designating the number of each table type and selecting an employee. Then, for each layout automatically arranged in this way, an objective evaluation value (average moving distance, average waiting time, average waiting time, average number of orders, etc.) indicating service efficiency is calculated through simulation processing. By referring to the calculated evaluation values in the order of priority specified by the operator, the optimum layout is specified in the combination of the fixtures, the combination of the employees, and the time zone. Other operations are the same as those of the first embodiment.
(Appendix 1)
Computer connected to a storage device storing store floor plan data showing the floor shape of the store, furniture data showing the furniture shape of the furniture including the table, and serving information indicating the ability of each serving, and an input device Against
The number of fixtures for each type of furniture input through the input device, the specific information of serving, and the simulation target time zone are read, respectively.
On the floor shape indicated by the store plan view data, at the same scale, the furniture shapes indicated by the furniture data corresponding to the types of the furniture are arranged by the number of pieces,
In the space formed between the outer edge of the floor shape after the arrangement and each of the furniture shapes, the passage corresponding to the space in which the serving can move is detected,
On the detected passage, an object indicating a serving indicated by the specific information is arranged,
In the time zone, virtually generate orders with a predetermined probability that can occur in each table corresponding to the furniture shape,
Simulating the operation of each serving object for processing each generated order through the passage according to the capacity of each serving indicated by the serving information,
Quantify the behavior of each simulated serving object as an evaluation value
A service efficiency evaluation program characterized by the following.
(Appendix 2)
For the computer,
When arranging the furniture shape on the floor shape,
Place each furniture shape at the position indicated by the placement instruction input to the input device
The service efficiency evaluation program according to claim 1, characterized in that:
(Appendix 3)
For the computer,
When arranging the furniture shape on the floor shape,
Arrange each furniture shape at a position according to the arrangement pattern prepared in advance
The service efficiency evaluation program according to claim 1, characterized in that:
(Appendix 4)
For the computer,
When detecting the passage, based on the information specifying the minimum width of the passage, only the passage having a width equal to or greater than the minimum width indicated by this information is detected.
The service efficiency evaluation program according to claim 1, characterized in that:
(Appendix 5)
For the computer,
When the passage is detected, a space corresponding to the width indicated by this information is masked from the space based on the information specifying the width corresponding to the seating position from the specific edge of the furniture shape corresponding to the table.
2. The service efficiency evaluation program according to claim 2, wherein
(Appendix 6)
For the computer,
When virtually generating possible orders for each table during the time period,
Based on the data indicating the visitor tendency for each time slot, virtually generate possible orders in each table at a probability according to the visitor tendency in the time slot indicated by the data.
The service efficiency evaluation program according to claim 1, characterized in that:
(Appendix 7)
For the computer,
When virtually generating possible orders for each table during the time period,
Based on the data indicating the order occurrence frequency for each table type, virtually possible orders are generated for each table with a probability corresponding to the order occurrence frequency for each table type indicated by this data.
The service efficiency evaluation program according to claim 1, characterized in that:
(Appendix 8)
The evaluation value is a moving distance of each serving object.
The service efficiency evaluation program according to claim 1, characterized in that:
(Appendix 9)
2. The service efficiency evaluation program according to claim 1, wherein the evaluation value is a customer service time required for each waiter to accept the order.
(Appendix 10)
The waiting time is proportional to the capacity of each serving indicated by the serving information
9. The service efficiency evaluation program according to claim 9, wherein
(Appendix 11)
The evaluation value is a waiting time until an order once generated is accepted by any of the waitpersons.
The service efficiency evaluation program according to claim 1, characterized in that:
[0091]
【The invention's effect】
According to the store efficiency evaluation program of the present invention configured as described above, an objective index relating to service efficiency can be automatically presented for individual fixture layout plans and waiter arrangement plans. It is possible to easily specify the furniture layout and the arrangement of waiters that can maximize the efficiency.
[Brief description of the drawings]
FIG. 1 is a block diagram showing a hardware configuration of a computer on which the present invention is implemented.
FIG. 2 is a table schematically showing a data structure of store information.
FIG. 3 is a table schematically showing a data structure of furniture information.
FIG. 4 is a table schematically showing a data structure of employee information;
FIG. 5 is a diagram schematically showing a part of visitor information;
FIG. 6 is a flowchart illustrating processing performed by a service efficiency evaluation program;
FIG. 7 is a flowchart showing processing contents by a service efficiency evaluation program;
FIG. 8 is a flowchart showing a simulation processing subroutine executed in S019 of FIG. 7;
FIG. 9 is a flowchart showing an order reception process executed for each employee in S109 of FIG. 8;
FIG. 10 is a diagram showing a layout screen after an arrangement range setting process;
FIG. 11 is a diagram showing a layout screen after a furniture object is arranged.
FIG. 12 is a diagram showing a layout screen after passage detection.
FIG. 13 is a diagram showing an employee selection screen.
FIG. 14 is a diagram showing a layout screen after an employee selection process.
FIG. 15 shows an input condition input screen.
FIG. 16 is a diagram showing an example of a movement route of an employee in a store floor plan.
FIG. 17 is a diagram showing an evaluation numerical value display screen.
FIG. 18 is a flowchart illustrating processing performed by a service efficiency evaluation program according to the second embodiment.
FIG. 19 is a flowchart showing processing contents by a service efficiency evaluation program in the second embodiment.
FIG. 20 is a diagram showing a furniture designation screen.
FIG. 21 is a diagram showing an example of a layout pattern.
FIG. 22 is a diagram showing an input condition input screen according to the second embodiment.
FIG. 23 is a diagram showing an example of a layout automatically arranged;
[Explanation of symbols]
1 computer
10 CPU
11 Display device
13 Input device
14 Disk unit
20 Service Efficiency Evaluation Program
31 Store information
32 Furniture information
33 Employee Information
34 Visitor Information
35 Input conditions

Claims (5)

Computer connected to a storage device storing store floor plan data showing the floor shape of the store, furniture data showing the furniture shape of the furniture including the table, and serving information indicating the ability of each serving, and an input device Against
The number of fixtures for each type of furniture input through the input device, the specific information of serving, and the simulation target time zone are read, respectively.
On the floor shape indicated by the store plan view data, at the same scale, the furniture shapes indicated by the furniture data corresponding to the types of the furniture are arranged by the number of pieces,
In the space formed between the outer edge of the floor shape after the arrangement and each of the furniture shapes, the passage corresponding to the space in which the serving can move is detected,
On the detected passage, an object indicating a serving indicated by the specific information is arranged,
In the time zone, virtually generate orders with a predetermined probability that can occur in each table corresponding to the furniture shape,
Simulating the operation of each serving object for processing each generated order through the passage according to the capacity of each serving indicated by the serving information,
A service efficiency evaluation program characterized in that the simulated operation of each serving object is numerically expressed as an evaluation value. For the computer,
When arranging the furniture shape on the floor shape,
2. The service efficiency evaluation program according to claim 1, wherein each furniture shape is arranged at a position indicated by the arrangement instruction input to the input device. For the computer,
When arranging the furniture shape on the floor shape,
The service efficiency evaluation program according to claim 1, wherein each furniture shape is arranged at a position according to an arrangement pattern prepared in advance. For the computer,
2. The service efficiency evaluation according to claim 1, wherein when the passage is detected, only a passage having a width equal to or greater than the minimum width indicated by the information is detected based on information specifying the minimum width of the passage. program. For the computer,
When virtually generating possible orders for each table during the time period,
2. The system according to claim 1, wherein, based on data indicating a visitor tendency for each time zone, possible orders in each table are virtually generated at a probability according to the visitor tendency in the time zone indicated by the data. Service efficiency evaluation program.

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