JP2020201834A - Process control system - Google Patents

Abstract

To solve the problem that loss of business chances may be caused here and there by process delay or as construction cases of house building, reforming, etc., which are complicated in process control are left as they are.SOLUTION: A process control system comprises: an item processing part which manages progress states of respective processes of respective registered items, visualizes and presents the process states of the respective processes as a user attains access, and warms delays of respective processes; an actual result totaling processing part which totals and stores actual result monthly information by process patterns and process IDs based upon information in a progress management database in a progress total database; and a work predictive processing part which calculates the numbers of items for each next day by process IDs and a predicted value of the number of required days based upon past actual result information stored in the actual result total database, and stores them in a work prediction database.SELECTED DRAWING: Figure 1

Description

The present invention relates to a process control system that involves construction.

Special feature on "a process control system that sets an appropriate construction period in consideration of the size of the property and various conditions, and makes it easy to correct or correct the construction period and coordinate with other residences" to facilitate the process management of housing construction. It is described in Kai 2005-267488 (Patent Document 1).

Japanese Unexamined Patent Publication No. 2005-267488

In construction such as housing construction and remodeling business, the process and man-hours differ depending on the products handled, and in construction projects where process control is complicated, business opportunity loss due to process delay or neglect of the project is scattered.

As the number of products handled increases, process control becomes more complicated. Therefore, it is indispensable to visualize the progress status of each project, proceed with each process at an appropriate timing, and surely acquire business opportunities. Patent Document 1 describes the point of setting an appropriate construction period in consideration of the property scale and various conditions, but the construction period is set by human judgment, and the validity of the set construction period is taken into consideration. Absent. In addition, the process related to meetings and contracts leading up to construction is not taken into consideration.

Therefore, in the present invention, in all processes from project registration to completion of construction, the appropriate processing timing of each process is calculated for each construction from the past results, and the progress delay is expressed intuitively by the administrator. The purpose is to reduce process delays and opportunity losses by making it possible to follow up with the person in charge.

A preferred example of the process management system of the present invention is a process management system that manages the progress of each process of a project involving construction work, and includes a database server having a progress management database, a performance aggregation database, and a work prediction database. , Equipped with an application server that performs arithmetic processing, the progress management database holds the progress status and actual date of each process of each matter, and the actual result aggregation database keeps the monthly actual results of processing each process of each matter. The work prediction database holds the information aggregated by the number and the average required days, the number of cases for each process pattern / process ID of the next month, and the predicted value of the number of days required for each process, and the application server is registered. The progress status of each process of each project is managed, the progress status of each process is visualized and presented to the access from the user, and the process is based on the information of the project processing department that warns of the delay of each process and the progress management database. Based on the performance totaling processing unit that aggregates monthly performance information for each pattern / process ID and stores it in the performance totaling database, and the past performance information stored in the performance totaling database, the matter for each process pattern / process ID of the next month It is configured to include a work prediction processing unit that calculates the number and the predicted value of the required number of days and stores it in the work prediction database.

Further, as another feature of the present invention, in the process management system, the work prediction processing unit of the application server requires the number of cases for each process pattern / process ID based on the past performance information stored in the performance aggregation database. Calculate the linear regression model of the number of days, calculate the rate of increase in the number of projects by comparing the number of projects in the latest month with the number of projects in the same month of the previous year, and follow the linear regression model and the rate of increase in the number of projects in the next month. It is characterized in that the number of cases for each pattern / process ID and the predicted value of the required number of days are calculated and stored in the work prediction database.

By determining the processing timing of each process for each construction based on past results, it is possible to grasp the appropriate processing timing, make it easier for the manager to follow up with the person in charge, and execute the project systematically. It will be possible.

It is a figure which shows the whole structure example of the process control system in this embodiment. It is a figure which shows the data structure example of a construction master. It is a figure which shows the data structure example of the process definition master. It is a figure which shows the data structure example of the progress management DB. It is a figure which shows the data structure example of the performance totaling DB. It is a figure which shows the data structure example of the work prediction DB. This is the processing flow of the performance aggregation processing unit and the work prediction processing unit. It is an image diagram when the progress status for each case is listed. It is a figure explaining the process of calculating the linear regression model of the number of cases and the required number of days for each process pattern / process ID based on the past performance information stored in the performance totaling DB. It is a figure which shows the example of the physical configuration of various servers and user terminals.

Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. FIG. 1 is a diagram showing an overall configuration example of the process control system 100 according to the present embodiment.

As shown in FIG. 1, the process management system 100 in the present embodiment includes a database server 101 that stores various data, an application server 102 that performs arithmetic processing, input of progress status of each process, and processing result of process management. The user terminal 103 that provides the user interface for displaying the data and the batch server 104 that executes the scheduled job are connected to each other so as to be able to communicate with each other via the network 105.

In the application server 102, the program stored in the arithmetic processing unit 301 is executed, and the functions of the matter processing unit 401, the actual result aggregation processing unit 402, and the work prediction processing unit 403 are realized.
The matter processing unit 401 is activated by access from the user terminal 103, updates and manages each process data of each registered matter on the progress management DB 203, and progresses each process of each matter according to the user's request. Report the situation on the user interface.
The result totaling processing unit 402 is started as a monthly process, searches for the progress management DB 203 that holds the progress status of the matter as a result, and records the number of cases by process pattern / process ID that has a record in the process execution month. It is stored in the aggregation DB 204.
The work prediction processing unit 403 obtains the correlation between the number of cases processed for each process pattern / process ID and the required number of days for each process from the past actual result information recorded in the actual result totaling DB 204, and obtains the correlation between the number of cases and the required number of days for the next month. Is predicted, and the matter processing unit 401 updates the warning start relative number of days to warn the user of the process delay.

The user terminal 103 is a terminal used by a process manager and an implementer of each process, and is used for various processes for advancing a project such as project registration, input of progress status of each process, and process control by user operation. Display the processing result, etc. The user terminal 103 is, for example, a personal computer or server in a company or factory, or an individual, and there are a plurality of user terminals 103. Alternatively, the user terminal 103 may be a communication device having a communication function, such as a smartphone or a tablet terminal.

The network 105 is a wireless network or a wired network provided by a communication carrier or the like. The network 105 may include a network owned by an individual company or the like as a part of the network 105, or may be a network through which a plurality of types of protocols are passed.

2A to 2E show an example of a data structure of each database held by the database server 101.

The construction master 201 whose data structure example is shown in FIG. 2A is defined in advance and registered in the database, and the construction classification for classifying the construction is used as the primary key, and the construction classification for identifying the construction is used as the basic information of the construction. , The process name is held as a name corresponding to the construction classification, and the process pattern is held in order to link the construction classification with the process pattern shown in FIG. 2B. In the example shown in FIG. 2A, the flooring is identified by the construction classification A, and the process required to proceed with the flooring construction is the process defined as the process pattern 10 in the process definition master.

The process definition master 202, which shows an example of a data structure in FIG. 2B, defines a process required for advancing each construction project, and defines the process as a process pattern by patterning the presence or absence of the process. The process name is retained as the process ID for identifying each process and the name corresponding to the process ID, and the non-target flag, warning necessity flag, and warning start relative number of days are defined for each process pattern / process ID.

The non-target flag defines whether or not the process is a process target according to the process pattern / process ID. If it is "0", it means a process target, and if it is "1", it means a process that is not a process target. In addition, the warning necessity flag defines whether or not to display a warning in the process of the corresponding process pattern / process ID. If the warning necessity flag is "0", the progress delay is not managed and the warning is not displayed. By setting it to "1", the target process becomes the warning display target. When displaying a warning, the reference value for displaying the warning is defined as the relative number of days for warning start. The relative number of days for starting a warning means the required number of days allowed in the target process, and a warning is displayed by comparing with the number of days from the actual date of the previous process to the current day.

In the example shown in FIGS. 2A and 2B, the work process of the flooring work is defined by the process pattern 10. Since the non-target flag is "0" for the site confirmation request and the site confirmation, it is defined as a processing target. However, since the warning necessity flag is "0" in the site confirmation request, the progress delay is not managed, but in the site confirmation, the warning necessity flag is "1", so if the progress is delayed, a warning is displayed. It will be. As for the timing to display the warning, since the relative number of days for warning start is "1", if it is in an unprocessed state one day after the actual date (end date) of the site confirmation request, which is the previous process, for example, a delay warning is displayed as blinking. I do.

In the progress management DB 203 in which the data structure example is shown in FIG. 2C, the matter processing unit 401 sets the definition information of the construction master 201 and the process definition master 202 according to the operation of the user registering a new matter including new construction from the user terminal 103. Based on this, the process information required for the target project is acquired and a new data record is created. After that, in the data record of the corresponding matter, the matter processing unit 401 holds the processing state and the actual date of each executed process by reporting from the user terminal 103 or the like.

The progress management DB 203 has a project number for identifying the project, and holds the order of the works associated with the project number (a plurality of works may be included in one project) as a serial number. Further, the specific work in the serial number is held as the work classification, and the process pattern associated with the work classification is acquired from the process definition master 202 and held as the process pattern.
Furthermore, the progress status of each process is held, and the reference date for displaying the warning is held as the management date (the actual date of the previous process is entered as the date when the corresponding process is started to be managed) and managed to the warning start date. Holds the date obtained by adding the number of days relative to the warning start of the process definition master to the date.
In the scheduled date of the progress management DB 203, the scheduled processing date input by the matter processing unit 401 as necessary is retained (the scheduled date is registered as the date when the user inputs, for example, the customer's desired date from the user terminal 103, etc.). Although it is displayed on the presentation screen to the user, it is not referred to in the processing of the matter processing unit 401.) However, the actual date holds the date when the processing corresponding to the corresponding process ID is confirmed by the matter processing unit 401. ..

In the example shown in FIG. 2C, the project number "0001" has two works, the first is the flooring and the second is the carport. The flooring process pattern is "10", which means that the matter registration with the process ID "01010" was processed on January 01, 2018. Since the matter registration is the first process, the same values as the actual date will be entered in the management date, warning start date, and scheduled date.

The process control system 100 is a system that visualizes the progress of each process of a project involving construction. Upon receiving an instruction from the user terminal 103, the matter processing unit 401 of the application server 102 is executed. The matter processing unit 401 executes the processing according to the instruction from the user for each matter, displays the processing result on the user terminal 103, and stores the processing result in the progress management DB 203. The processing date and the state of each process are stored in the progress management DB 203 as the processing results.

As the state of each process, there are "not processed", "unprocessed", "processing", and "processed". “Not subject to processing” means a process that does not need to be processed, and is defined by the process definition master shown in FIG. 2B. “Unprocessed” is a state in which the previous process is completed and the process to be processed next. "Processing" is a state in which a part of the data to be processed has been processed or temporarily saved. "Processed" indicates a state in which all the target data to be processed has been processed.

As a result of the output instruction being sent from the user terminal 103 to the application server 102, the data stored in the progress management DB 203 acquires the data of the target matter via the application server 102 and is returned to the user terminal. The user terminal 103 edits the data received from the application server 102 and displays it as a process control table of the target matter.

FIG. 4 shows a display example of the process control table. In the display example of the process control table shown in FIG. 4, the progress status is visualized using the progress status and the actual date of each process held in the progress management DB 203, and the progress status is shown for each work linked to the project. .. The progress of each process is represented by a square mark and the actual date. △ (without date) is "unprocessed", △ (with date) is "processed", and completed (with date) is "processed". , "-" (Hyphen) means "not subject to processing", and blank means unreached process.

In the case of the flooring in the display example shown in FIG. 4, since the matter registration has been completed and the site confirmation and the site confirmation request are not subject to work, the next process to be performed is to create a quotation. Further, if the progress status in each process of the progress management DB 203 is other than processed and the current operation date is past the warning start date of the progress management DB 203, it is determined that the target process is behind schedule. , The delayed process is represented by blinking, for example.

As described above, the process control system 100 has a function of displaying a warning for the delayed process when the progress of each process is delayed. The feature of this embodiment is that the warning display function calculates the relative number of days for warning start of the process definition master shown in FIG. 2B, which is a reference for displaying a warning, based on past results. The process control system 100 that performs such processing makes it possible to share the progress status of each project promoted across a plurality of departments, and each department can grasp the processing status of each process and follow each other. By interacting with each other, we can steadily promote the project.

The actual result aggregation DB 204 showing an example of the data structure in FIG. 2D calculates the average value of the number of cases processed in each process and the required number of days per unit month by the actual result aggregation processing unit 402 based on the progress management DB 203, and aggregates the information. Hold.
In the example shown in FIG. 2D, the average value of the number of cases processed and the required number of days in all the processes in January 2016 and February 2016 is calculated, and the information aggregated for each process is recorded. For example, in January 2016, the number of cases for which the process ID “02010” (site confirmation) of the process pattern “10” was aggregated was 160, which means that it took 5 days after requesting the site confirmation on average. doing.
Further, in the example shown in FIG. 2D, the number of cases of each process ID of the process pattern "10" gradually decreases because the case is registered but the process before going to the meeting due to the customer's intention or other reasons. This is because there will be cases that have been terminated in, or there will be carry-overs from the previous month.

The work prediction DB 205 showing an example of the data structure in FIG. 2E holds the predicted values of the number of cases to be processed and the required number of days to be processed in each process of the next month calculated by the work prediction processing unit 403 based on the performance information held in the performance totaling DB 204. ..
In the example shown in FIG. 2E, the data of the process ID “02010” (site confirmation) of the process pattern “10” indicated by the year and month “000000” is calculated based on the past actual information held in the actual result aggregation DB 204. If the number of cases to be processed is 100, the required number of days is 4 days, but if the number of cases to be processed is 150, the required number of days is 5 days, and if the number of cases to be processed is 200, the required number of days is required. Means that it takes 7 days. Based on the results of such a correlation, it is predicted that the process ID "02010" (site confirmation) of the process pattern "10" in February 2016 will process 206 cases, and the required number of days for them is on average. Indicates that it is expected to take 7 days.

FIG. 3 shows the processing flow of the performance aggregation processing unit 402 and the matter work prediction processing unit 403, which are the processes for generating the data of the work prediction DB 205, which is a feature of this embodiment.

In step S101, in order to generate the predicted value of the number of cases to be processed and the required number of days to be processed in each process of the next month in the work prediction DB 205, the performance aggregation processing unit 402 performs monthly processing (the current month on the night of the last day of the end of the processing execution month). A processing instruction is issued to the batch server 104 to generate the actual information of the current month in the actual result totaling DB 204 based on the information of the progress management DB 203.

In the actual result totaling process S101, the number of cases processed within the totaling period is totaled for each process pattern / process ID based on the actual date of the progress management DB 203 that holds the progress status of the matter as a result, and the case of the actual result totaling DB 204. The number of cases by process pattern / process ID of the aggregation result is stored in the number. In addition, the difference between the previous process ID and the actual date of the process ID is calculated, the average value of the number of days required for the process pattern / process ID is calculated within the aggregation period, and the corresponding process pattern / process ID of the actual aggregation DB 204 is calculated. Store the calculated average required days in the required days of.

Based on the current month's performance information of the generated performance aggregation DB 204 and the recorded past performance information, the work prediction processing unit 403 processes the following steps to create a matter for each process pattern / process ID of the next month. The number and the required number of days are predicted and stored in the work prediction DB 205.

In step S201, the work prediction processing unit 403 selects and aggregates appropriate data from the past data of the actual information recorded in the actual result aggregation DB 204, aggregates the data, processes the number of cases for each process pattern / process ID, and requires each process. Calculate the correlation of the number of days.

For example, the person in charge of carrying out the work and work of a certain process pattern / process ID naturally also has the work and work of another process pattern / process ID, but various projects are mixed and ordered. If there is no major change in the total number of persons in charge in construction projects such as housing construction and remodeling business, it can be predicted that the maximum number of steps of persons in charge assigned to the outline, the work of a certain process pattern / process ID, and the work will be uniform.

Under such conditions, FIG. 5A shows, in the past performance information recorded in the performance tabulation DB 204, for example, the total number of persons in charge is almost the same, the process pattern is 10, and the process ID is. This is an example of actual information from January 2016 to December 2017, where the maximum man-hours assigned to the process of 02010 (site confirmation) can be regarded as uniform. Looking at these data, it can be seen that as the number of cases increases, the number of days required to process one case increases. This is because if the number of cases to be processed is large, the start will be delayed and the waiting time will increase.

FIG. 5B shows a scatter plot in which the number of projects and the required number of days of the actual information of the actual result aggregation DB 204 shown in FIG. 5A are plotted. There is a positive correlation between the number of projects and the number of days required. The correlation coefficient r _xy between the number of cases x _i and the required number of days y _i can be obtained by the mathematical formula (1).

The correlation coefficient r _xy between the number of projects x _i and the required number of days y _i is 0.933, and a strong linear relationship can be seen. Therefore, a linear model in which the required number of days y _i is approximated by the regression function y = ax + b of the number of projects x _i. think of.

Here, the regression coefficient a and the intercept b are obtained by the mathematical formulas (2) and (3), respectively.

As shown in FIG. 5C, a linear regression model of the number of cases x _i and the required number of days y _i is calculated for each process pattern / process ID from the past actual information recorded in the actual result aggregation DB 204.

According to the calculated linear regression model, as shown in FIG. 5D, the number of cases is incremented by 50 for each process pattern / process ID in the work prediction DB205 with the year and month set to "000000". Stores the predicted value of the correlation of the time required for the process.

In step S202, the work prediction processing unit 403 reads out the actual information recorded in the actual result totaling DB 204, and each of the latest 3 months (processing execution month, 1 month ago, 2 months ago) including the processing execution month (current month). Compare the number of projects for each process pattern / process ID with the number of projects for each process pattern / process ID in the same month of the previous year, and calculate the rate of increase in the number of projects for each month from the previous year for the last 3 months. The year-on-year calculation process is executed with the average rate of increase in the number of projects in each process pattern and process ID as the rate of increase from the previous year in the number of projects.

In step S203, the work prediction processing unit 403 uses the rate of increase from the previous year calculated in S202 to calculate the rate of increase for each process pattern / process ID in the same month of the previous year of the month following the processing execution month (current month). By multiplying, the predicted number of projects for each process pattern / process ID of the month following the processing execution month is calculated based on the latest transition of the number of projects.

In step S204, the year and month stored in the work prediction DB 205 is "000000" using the process pattern of the next month calculated by the work prediction processing unit 403 in S203 and the number of predicted cases for each process ID, and the same process pattern. Compared with the data in which the number of cases with the same process ID increases every 50, the required number of days of the data record that matches the predicted number of cases or has both cases with the predicted number of cases in between is read out and described above. The number of days required for forecasting the corresponding process pattern / process ID in the month following the processing execution month is calculated according to the proportional distribution with the number of both projects with the predicted number of projects in between. For example, in the work prediction DB 205 of FIG. 2E, if the number of predicted cases of the year / month “201601”, the process pattern “10”, and the process ID “02010” (site confirmation) is calculated as “194” in S203, in S204. , Year / month "000000", process pattern "10", process ID "02010", number of projects "150", required number of days "5" and year / month "000000", process pattern "10", process ID " The data records of "02010", the number of cases "200", and the required number of days "7" are referred to, and the predicted number of cases "194" is proportionally distributed between the number of cases "150" and the number of cases "200". Accordingly, the predicted required number of days for the corresponding process pattern / process ID in the month following the processing execution month is calculated as “7”.

As described above, the number of projects and the required number of days for each process pattern / process ID in the month following the processing execution month (current month), which is the predicted value calculated by the next month number of projects prediction process S203 and the required number of days calculation process S204, are sent to the work prediction DB 205. Store as data for the next month.

In step S205, the work prediction processing unit 403 sets the required number of days for each process pattern / process ID of the month following the processing execution month stored in the work prediction DB 205 as a warning start relative corresponding to the corresponding process pattern / process ID of the process definition master 202. Store in the number of days column.

In the next month, the matter processing unit 401 manages the progress delay of each process of each matter based on the value of the number of days relative to the warning start of the updated process definition master 202.

The present embodiment has been specifically described above, but according to the present embodiment, the appropriate processing timing of each process in each construction can be determined by predicting the number of projects and the required number of days according to the construction from the past results. It becomes possible to grasp, and it becomes easy for the manager to follow up with the person in charge. In addition, it is thought that the forecast value makes it possible to smoothly coordinate with related departments and customers, and reduce business opportunity loss due to process delays and neglect of projects.

Finally, FIG. 6 is a diagram showing the physical configurations of the database server 101, the application server 102, the user terminal 103, and the batch server 104 shown in FIG. In this embodiment, as these servers (or user terminals), a computer 600 having a processor (CPU) 601, a memory 602, an auxiliary storage device 603, and a communication interface (communication I / F) 604 is used. As an example, this computer may be a general-purpose computer such as a personal computer (PC). The computer 600 may also have an input interface (input I / F) 605 and an output interface (output I / F) 608. The input interface 605 is an interface to which a keyboard 606, a mouse 607, or the like is connected and receives input from an operator. The output interface 608 is an interface to which a display device 609, a printer, or the like is connected, and outputs a program execution result in a format that can be visually recognized by an operator.

In this embodiment, an example in which these servers are physically different computers will be described. However, these servers do not necessarily have to be different computers, and the functional parts of some of the servers described above may be implemented on a single computer.

100 ... Process management system, 101 ... Database server, 102 ... Application server, 103 ... User terminal, 104 ... Batch server, 105 ... Network, 201 ... Construction master, 202・ ・ ・ Process definition master, 203 ・ ・ ・ Progress management DB, 204 ・ ・ ・ Achievement totaling DB, 205 ・ ・ ・ Work prediction DB, 301 ・ ・ ・ Calculation processing unit, 401 ・ ・ ・ Item processing department, 402 ・ ・-Achievement aggregation processing unit, 403 ... Work prediction processing unit, 600 ... Computer, 601 ... Processor (CPU), 602 ... Memory, 603 ... Auxiliary storage device, 604 ... Communication interface (Communication I / F), 605 ... Input interface (Input I / F), 606 ... Keyboard, 607 ... Mouse, 608 ... Output interface (Output I / F), 609 ... Display apparatus.

Claims (6)

It is a process control system that manages the progress of each process of a project that involves construction.
A database server having a progress management database, a performance aggregation database, and a work prediction database,
An application server that performs arithmetic processing and
With
The progress management database keeps the progress status and actual date of each process of each project,
The performance aggregation database holds information that aggregates the monthly results of processing each process of each project by the number of projects and the average required number of days.
The work prediction database holds the number of cases for each process pattern / process ID of the next month and the predicted value of the number of days required for each process.
The application server
The matter processing department that manages the progress status of each process of each registered matter, visualizes and presents the progress status of each process to the access from the user, and warns of the delay of each process.
A performance totaling processing unit that aggregates monthly performance information for each process pattern / process ID based on the information in the progress management database and stores it in the performance totaling database.
Based on the past performance information stored in the performance aggregation database, the work prediction processing unit that calculates the number of projects for each process pattern / process ID of the next month and the predicted value of the required number of days and stores it in the work prediction database.
A process control system characterized by being equipped with. The work prediction processing unit of the application server
Based on the past performance information stored in the performance summary database, calculate a linear regression model of the number of cases and the required number of days for each process pattern / process ID, and compare the number of cases in the latest month with the number of cases in the same month of the previous year. Calculate the rate of increase in the number of projects, calculate the number of projects for each process pattern / process ID of the next month and the predicted value of the required number of days according to the linear regression model and the rate of increase in the number of projects, and store them in the work forecast database. The process control system according to claim 1. The database server also has a process definition master that holds data on the relative number of days for warning start for each process pattern / process ID corresponding to construction.
When the work prediction processing unit calculates the number of cases for each process pattern / process ID of the next month and the predicted value of the required number of days, the work prediction processing unit warns of the corresponding process of the process definition master based on the required number of days for each process pattern / process ID. The process control system according to claim 1, wherein the relative start days are updated. The matter processing unit manages the progress of each process of each matter, and if there is a process that is in an unprocessed state after the relative number of days for warning start of the process definition master has elapsed from the actual date of the previous process, The process control system according to claim 3, wherein a delay warning is displayed on the user terminal. Based on the past performance information stored in the performance aggregation database by the work prediction processing unit, the process of calculating the increase rate of the number of cases by comparing the number of cases in the latest month with the number of cases in the same month of the previous year is the processing execution month. Including, compare the number of projects for each process / process ID in the last 3 months (processing execution month, 1 month ago, 2 months ago) with the number of projects for each process pattern / process ID in the same month of the previous year. It is a process that calculates the monthly increase rate of the number of projects from the previous year and sets the average of the increase rate of the number of projects in the last 3 months as the increase rate of the number of projects for each process pattern / process ID from the previous year. 2. The process control system according to claim 2. The performance aggregation processing unit of the application server
Based on the progress information of each process of each project in the progress management database, the number of projects processed within the aggregation period is aggregated for each process pattern / process ID, and the difference between the previous process ID and the actual date of the process ID is calculated. It is a feature that the average value of the number of days required for the process pattern / process ID is calculated within the aggregation period and stored in the number of cases and the required number of days for each monthly process pattern / process ID of the actual aggregation database. The process control system according to claim 1.

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