JP2015230577A - Method of extending and adding annotation in process management system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To generate an annotation adding rule that conforms with an intent of a user who determines addition by grasping the intent when the user add an annotation, and to extensionally add the annotation to the other portions of data.SOLUTION: In adding an annotation to a selected area of a Gantt chart displayed on the basis of data of a DB 107, a rule creation unit 112 selects one of a plurality of related data, specifies a content of the annotation, and generates an annotation adding rule in response to a user operation that instructs application of the annotation. A rule application unit 113 extracts a part to which the generated annotation adding rule matches by retrieving the selected related data, and additionally displays the specified annotation in a position corresponding to the extracted part.

Description

  The present invention relates to a progress management support technology that has a large number of management targets and management items, such as process management at a production site, and particularly relates to annotation assignment in a process management system.

  When investigating process delays using production site data, analysis is performed for each production unit (manufacturing number, etc.), but since there are hundreds to thousands of manufacturing numbers, it takes a lot of work to see all of them. In addition, since it is a waste of time to look at processes that are not problematic, there is a need to pick up only those that are delayed. At present, analysts take out production units that have been delayed manually, annotate them with information such as text editors, and make them known in the morning era. Therefore, there is a demand for a method in which annotations are given to other production units under the same conditions only by giving annotations to one to several production units.

  Background technology related to such data analysis support includes annotation sharing and similar waveform search. Annotation sharing is to save and reproduce an annotation-added position and message. Similar waveform search is a technique for associating and storing waveforms and annotations, finding similar waveforms, and giving annotations. Further, there are Patent Documents 1 to 5 as related background technologies. Patent Document 1 discloses a technique for creating a schedule by selecting an item for which a rule for scheduling is determined in advance and filling a blank. Patent Document 2 discloses a technique for creating a plan without omission by defining a task associated with a process. Patent Document 3 discloses a technique related to a production / distribution simulator that outputs a chart showing a flow of a process. Patent Document 4 discloses a technique for registering a correction to an inference result as a new rule. Patent Document 5 discloses a technique for optimizing process scheduling.

Japanese Patent Laid-Open No. 06-176034 JP 2005-275989 A JP 2012-185779 Japanese Unexamined Patent Publication No. 08-328865 Japanese Unexamined Patent Publication No. 08-016401

  As seen in the background art mentioned above, there is no way to efficiently capture the user's awareness, even if annotation is added as awareness information, it is difficult to use secondary information, and it is reflected in other parts of the data, for example, data in other periods There is a problem that is not done. For example, with annotation sharing, there is a problem that it is difficult to apply the same annotation to data that shows the same progress but at different times even if the position and message of the annotation given by the user are simply saved . In addition, there is a problem that similar waveform search can be applied only to waveforms having the same scale on the vertical axis and horizontal axis, and cannot be applied to waveforms that are not similar.

  An object of the present invention is to solve the above-described problems and to secondary use annotations given by a user. Specifically, when a user assigns an annotation, the user's intention that the assignment is deemed necessary is taken into account, an annotation assignment rule that matches this is generated, and the annotation is automatically assigned to other parts of the data It is to provide a method.

  The present application includes a plurality of means and methods for solving the above-described problems, and an example is as follows. When the user designates input data and a visualization method, the process management system of the present invention executes processing necessary for realizing the visualization method designated for the input data according to the data processing script. The visualized content obtained as a result is a Gantt chart that typically shows a plurality of steps that are scheduled and executed one after another on the time axis. When one of a plurality of related data is selected to determine whether to superimpose the annotation specified by the user on the selected area of the Gantt chart, and the input operation to apply the annotation is performed, the selected related data Annotation assigning rule for assigning the specified annotation to other locations than the selected location is generated and registered from the type of the selected related data and the characteristics of the selected related data in the selected area. Then, the relevant data is searched to extract a place where the annotation giving rule is applied, and the annotation designated by the previous input operation is additionally displayed at a position corresponding to the extracted place. That is, in the annotation extension assigning method of the present invention, the determination intention that the user has determined that the annotation needs to be added is taken, and the annotation is automatically assigned in an extended manner based on the similarity of the selected related data.

  According to a typical embodiment of the present invention, the user's awareness can be reflected in other periods of the data, and the leakage of the awareness can be prevented by automatically extracting the relevant part of the awareness. As a result, other people's awareness information can be effectively shared within the user's organization.

It is a block diagram of the process management system of a present Example. It is a flowchart of the process management system of a present Example. It is an example of the selection data of Example 1 of this invention, and its related data. It is an example of the data processing script of Example 1 of this invention. It is an example of the visualization content of Example 1 of this invention. It is an example of the flowchart which detailed S2 of FIG. 2 of this invention. It is an example of illustration of Example 1 of S401 of FIG. 6 of this invention. It is an example of the related data confirmation dialog of Example 1 of this invention. It is an example of the data structure and data processing script of data processing script DB of Example 1 of this invention. It is an example of illustration of the annotation provision operation result of Example 1 of this invention. It is an example of the annotation data of Example 1 of this invention. It is an example of the procedure which detailed S406 of FIG. 6 of Example 1 of this invention. It is an example of the annotation provision rule creation algorithm 1 of Example 1 of this invention. It is an example of the annotation provision rule of Example 1 of this invention. It is an example of illustration of Example 2 of S401 of FIG. 6 of this invention. It is a related data confirmation dialog (example at the time of worker information selection) of Example 2 of this invention. It is a related data confirmation dialog (example at the time of work performance information selection) of Example 2 of this invention. It is a data structure of data processing script DB of Example 2 of this invention, and a data processing script example. It is an example of illustration of the annotation provision operation result of Example 2 of this invention. It is an example of the annotation provision rule creation algorithm 2 of Example 2 of this invention. It is an example of the annotation provision rule of Example 2 of this invention. It is an example of the selection data of Example 3 of this invention. It is an example of the related data of the selection data of Example 3 of this invention. It is an example of the visualization content of Example 3 of this invention. It is an example of the flowchart which detailed S2 of FIG. 2 of Example 3 of this invention. It is an example of illustration of S601 of FIG. 25 of Example 3 of this invention. It is an example of the related data confirmation dialog of Example 3 of this invention. It is an example of illustration of the annotation provision operation result of Example 3 of this invention. It is an example of the procedure which detailed S607 of FIG. 25 of Example 3 of this invention. It is an example of the annotation provision rule creation algorithm 3 of Example 3 of this invention. It is an example of the annotation provision rule of Example 3 of this invention. It is an example of the selection data of Example 4 of this invention. It is an example of the visualization content of Example 4 of this invention. It is an example of the flowchart which detailed S2 of FIG. 2 of Example 4 of this invention. It is an example of illustration of Example 1 of S4601 of FIG. 34 of Example 4 of this invention. It is an example of the data confirmation dialog of Example 4 of this invention. It is an example of illustration of the annotation provision operation result of Example 4 of this invention. It is an example of the procedure which detailed S4604 of FIG. 35 of Example 4 of this invention. It is an example of the annotation provision rule creation algorithm 4 of Example 4 of this invention. It is an example of the annotation provision rule of Example 4 of this invention. It is an example of the procedure which applies the annotation provision rule of Example 5 of this invention. It is an example of the illustration of the result of applying the annotation provision rule of Example 5 of this invention, and an applied annotation provision rule.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings.

  FIG. 1 is a block diagram of the process management system of the present embodiment.

  The computer system illustrated in FIG. 1 includes a server 101, a computer 102, a display 103, an input device 104, networks 105 and 106, and a DB 107. The server 101 and the computer 102 are connected to each other via the network 105, and the server 101 and the DB 107 are connected to each other via the network 106. The server 101 and the computer 102 are used when the user 100 performs an analysis work, and support the analysis work of the user 100 by providing functions related to the analysis work.

  A general PC can be applied as the server 101 and the computer 102. The server 101 and the computer 102 include a processor, a memory, and an interface. The processor executes various processes by processing a program stored in the memory. The memory stores a program and data for executing processing. The interface is connected to the input device 104 such as a keyboard and a mouse, connected to the display 103, connected to the server 101 and the computer 102 via the network 105, and connected to the server 101 and the DB 107 via the network 106. Etc. that are connected to

  The DB 107 is a database that holds various data such as information relating to work, information relating to facilities, information relating to companies, various statistical data, time series data such as sensors, and Web access logs. The DB 107 may be configured to be included in the server 101, or may be configured to be stored in an external storage device and connected to the server 101 via the network 106.

  The server 101 includes a data processing execution unit 111, a rule creation unit 112, a rule application unit 113, a data processing script DB 120, a rule DB 121, and an annotation DB 122. The data processing execution unit 111, the rule creation unit 112, and the rule application unit 113 are, for example, programs that are stored in a memory and executed by a processor. The data processing execution unit 111 extracts necessary data from the DB 107 in accordance with an instruction from the user 100, extracts a necessary script from the data processing script DB 120, performs data processing on the data, and displays the visualized content on the display 103. Create

  The rule creation unit 112 creates an annotation assignment rule for the annotation provided by the operation of the user 100. The rule application unit 113 searches for a set of parameters that match the annotation assignment rule registered in the rule DB 121, and displays the same annotation provided by the user according to the rule at a position corresponding to the searched location. Has function. The data processing script DB 120 is a DB that stores a series of procedures for realizing data processing. The rule DB 121 is a DB for registering annotation assignment rules created by the rule creation unit. The annotation DB 122 is a DB for registering annotation data given by the operation of the user 100.

  Next, the process of the first embodiment of the present invention will be described.

  FIG. 2 is a flowchart illustrating an example of a procedure according to the first embodiment of this invention.

  First, the user selects data and a data processing script. The selected data D0 and data processing script are sent to the data processing execution unit 111 and executed. The visualized content of the execution result is displayed on the display 103 (S1). Next, the rule creation unit 112 creates an annotation assignment rule for the annotation input by the user using the input device 104 (S2). Annotation assignment rules are registered in the rule DB 121 (S3).

  FIG. 3A shows an example of the selection data D0 selected in S1 of FIG. Here, D0 is “work data”. This is data representing the production number, the start date and the end date of the operation for the process. It has columns of serial number, process, work start date, and work completion date.

  FIG. 3B to FIG. 3F show related data of the selection data D0. (B) is a list of related data. It has columns of data and related data. In this example, the data includes “work data”, and the related data includes the following data (c) to (f). (C) is “worker information”. This is the data of the worker who performed the work on the manufacturing number and the process. Has columns of serial number, process, and worker. (D) is delay reason information. The serial number and the reason why the work of the process was delayed are described. Has columns for serial number, process, date, and reason for delay. (E) is “facility message information”. This is data that holds messages such as errors and status generated by equipment related to the process. It has columns of production number, process, schedule, message type, and equipment message. (F) is work performance information. This is information on the person who actually performed the work on the manufacturing number and process. Has columns of serial number, process, date, and worker.

  FIG. 4 shows an example of the data processing script selected in S1 of FIG. The processing content of this script can be changed by using a part of the script as a parameter that can be changed from the outside.

  FIG. 5 shows an example of visualization content as a result of executing the data processing script by the data processing execution unit 111 in S1 of FIG. In this illustrated example, the schedule and results of each process of the production number XX9 are expressed on the Gantt chart.

  FIG. 6 is a detailed flowchart of S2 of FIG. This shows the procedure of the annotation creation operation by the user and the data creation process displayed in the related data confirmation dialog.

First, the user uses the input device 104 to select a region. A related data group Dm predetermined for the selection data D0 is extracted from the DB 107. A data processing script group Sm predetermined for the data group Dm is extracted from the data processing script DB 120 (S401).
Next, a display data selection dialog (see reference numeral 160 in FIG. 8) is displayed, and the item m of the related data list (reference numeral 1601 in FIG. 8) selected by the user is obtained. Dm, Sm, and selected area information are sent to the data processing execution unit 111 (S402). Next, the data processing execution unit 111 determines the parameter P _m from the selected area information, and executes the data processing script S _m . Here, the empty list is set to L (S403). The execution result is displayed on the content display unit 1611 of the related data confirmation dialog (see reference numeral 161 in FIG. 8) (S404). When the user thinks that the information displayed in the related data confirmation dialog 161 is the reason, the user inputs an annotation in the annotation input unit 1612 and presses down the apply button 1613. In step S <b> 405, the data processing unit registers annotation data in the annotation DB 122, and adds selection data D <b> 0, annotation data Am, data processing script Sm, parameter Pm, and waveform usage presence / absence T to the list L. The list L is an information set for the rule generation unit to generate an annotation assignment rule. The reason why the use / non-use of waveform T is added to the list L is that it is necessary to change an algorithm for generating an annotation assignment rule depending on whether or not to use an annotation assignment criterion. In step S406, the list L is sent to the rule generation unit, and an annotation assignment rule is generated.

  FIG. 7 shows an example of S401 in FIG. In this illustrated example, as the parameter Pm of S403, “4/1” as “selection area horizontal axis start point”, “6/1” as “selection area horizontal axis end point”, “selection area vertical” with respect to “area selection”. “Process 1 (actual result)” is determined as the “axis item”. In the “related data confirmation” in this figure, a related data confirmation dialog 161 shown as an example in FIG. 8 is displayed. This dialog is also displayed as a result of S404.

  In this dialog, first, a display data selection dialog 160 is displayed, and related data to be displayed is selected by a user operation. (1) is an example of the related data confirmation dialog 161 displayed when the worker information is selected. The related data is displayed on the content display unit 1611. When it is desired to add an annotation based on this data, the annotation is input to the annotation input unit 1612 and the annotation application button 1613 is pressed. (2) is an example when facility message information is selected. When “whether waveform is used” in the table of FIG. 9 is “present”, the waveform data is displayed on the content display section 1611 as in this illustrated example. In this illustrated example, the annotation “facility failure” is given using the related data confirmation dialog regarding the facility message information of (2).

  FIG. 9 shows the data structure of the data processing script DB and an example of the data processing script. The table in the upper part of FIG. 9 is a table showing the relationship between the selection data and the data processing script.

  FIG. 10 shows an example of an annotation giving operation result, and FIG. 11 shows an example of annotation data.

  FIG. 12 is a detailed flowchart of S406 in FIG. First, the length of the list L is M, R is an empty list, and m = 1 (S501). S503 to S507 are repeated until m exceeds M (S502). The annotation data Am, the data processing script Sm, and the parameter Pm of the mth element of the list L are set (S503). When the waveform is used, a rule r is created according to the annotation assignment rule creation algorithm G1 (S504, S505). When the waveform is not used, a rule r is created according to the annotation assignment rule creation algorithm G2 (S504, S506).

  FIG. 13 shows an example of the annotation assignment rule creation algorithm G1. This algorithm is used when an annotation is added using a waveform. In this example, (1) when the maximum value of the waveform exceeds the specified value N1 given in advance, (2) when the accumulated value in the specified period Md exceeds the specified value N2, (3) the number of days exceeding the threshold Ns is specified When the value M1 is exceeded, three provision condition candidates are prepared in the rule creating unit 112 in advance. In the embodiment, the equipment message information is selected as the display data, the presence / absence of waveform use is present, and annotation condition candidates prepared when the annotation is given by the user's operation (the apply button is pressed) Which is used to generate the annotation assignment rule is set in advance at the time of system setting. For example, the annotation assignment rule that all of the above (1), (2), and (3) are selected, and the same annotation “equipment failure” as that given by the user is automatically given by the OR logic of these conditions. Generated. Specific values of the specified values N1, N2 and M1, the specified period Md, and the threshold value Ns are also set during system setting. In addition to this, it is possible to set any single condition of candidate conditions for assignment (1) to (3) as an annotation provision rule. It is also possible to set the AND logic of a plurality of unnecessary condition candidates to be an annotation assignment rule. The annotation assignment rule creation algorithm G2 in S506 will be described in the second embodiment.

  FIG. 14 shows an example of the annotation assignment rule. In this example, the maximum number of lines of equipment message information exceeds N1, the cumulative number of lines of equipment message information for Md days exceeds N2, and the number of lines of equipment message information exceeds Ns continues for M1 days or more. This is an assignment rule with the content of giving the annotation “insufficient manpower due to interruption” to a place where any of the three conditions is established.

  In the above description of the embodiment, the details of the annotation assignment rule for automatically assigning the annotation provided by the user to other parts of the data are fixed at the time of system setting. On the other hand, when the user gives annotations, all of the specified values N1, N2 and M1, the specified period Md, and the threshold value Ns are set to specific values corresponding to the user operation. It is also possible to modify the embodiment. For example, in the related data confirmation dialog shown in (2) of FIG. 8 at the time of selecting the equipment message information, a text box for inputting the threshold value for adding an annotation since the maximum value of the waveform exceeds the threshold value is added. Provide. The rule creation unit 112 generates a rule that adds a user-specified annotation to a corresponding location when the waveform (the number of lines in the equipment message) exceeds the input threshold value instead of the preset specified value N1. To do. Although the user's operation procedure is increased by such a modification, it is possible to generate an assignment rule that more accurately reflects the reason for the user's annotation assignment as compared to the configuration of the embodiment before the modification.

  According to the first embodiment of the invention, when an annotation is assigned, a related data confirmation dialog using a waveform is displayed and an annotation assignment rule creation algorithm is applied. As a result, it is possible to generate an annotation assignment rule based on a temporal change in the number of error messages generated.

  In the first embodiment, when the annotation is added, the related data confirmation dialog using the waveform is displayed and the annotation adding rule creation algorithm is applied. In the second embodiment, the characteristics of the data included in the column and the column Annotation rule is generated based on the comparison result.

  Here, the description of the part that performs the same processing as in the first embodiment is omitted, and the part related to the second embodiment in the description of the flowchart of FIG. 6 will be described.

  FIG. 15 shows an example of Example 2 of S401 in FIG. In this illustrated example, as parameter Pm of S403, “selection area horizontal axis start point” is “7/1”, “selection area horizontal axis end point” is “11/1”, “selection area vertical” “Process 3 (actual result)” is determined as the “axis item”. In the “relevant data confirmation” in this figure, a “relevant data confirmation dialog” shown as an example in FIGS. 16 and 17 is displayed. This dialog is also displayed as a result of S404.

  In this dialog, first, a display data selection dialog (see reference numeral 160 in FIG. 8) is displayed, and related data to be displayed is selected by a user operation. FIG. 16 is an example of a related data confirmation dialog 161 displayed when worker information is selected. FIG. 17 shows an example of the related data confirmation dialog 161 when the work performance information is selected. In the illustrated example, a state in which the user has given the annotation “manpower shortage due to interruption” using a related data confirmation dialog regarding work performance information is shown.

  FIG. 18 shows the data structure of the data processing script DB and an example of the data processing script, and FIG. 19 shows an example of the annotation assignment operation result.

  FIG. 20 shows an example of the annotation addition rule creation algorithm G2. In this example, (1) a common value included in a column (in the case of a character string), (2) a comparison of values in each row of a column whose value is a numerical value (magnitude relationship, coincidence mismatch), (3) a maximum of columns Three types of grant condition candidates, that is, the difference between the value and the minimum value (elapsed days in the case of a date), are prepared inside the rule creation unit 112. At the time of system setting, these grant condition candidates are materialized, and which is used as an annotation assignment rule, and further whether OR logic or AND logic of a plurality of conditions is set.

  FIG. 21 shows an example of the generated annotation assignment rule. In this example, (2) and (3) of the assignment rule creation algorithm are selected at the time of system setting, and are embodied by the setting at the time of system setting. Then, by the user's operation, work result information is selected as related data on the display data selection dialog (reference numeral 160 in FIG. 8), and “manual shortage due to interruption” is further displayed in the annotation entry column of the related data confirmation dialog in FIG. Annotation rule is generated using the above embodied algorithm. More specifically, in the example shown in the figure, the user corresponds to the selected area (process 3 (actual result) and area determined by the period 7/1 to 11/1) of the “worker information” that is the selected related data. The number of rows in the column where “worker column number <planned worker column number” is N3 rows or more, and the difference (number of days) between the maximum and minimum values in the date column is N4 or more. Confirming that, the annotation “insufficient due to interruption” is added. Therefore, the rule creation unit 112 sets the condition that the number of rows in the worker information “the numeric value of the worker's column <the numeric value of the planned worker's column” is N3 rows or more, and from the first day of the process result to the last day of the process result. An assignment rule that searches for locations that match each of them under the condition that the number of days is N4 days or more, and assigns the same annotation as “user shortage due to interruption” to the corresponding position on the Gantt chart It is. The specific values of N3 and N4 are set when the system is set.

  As described above, according to the second embodiment of the present invention, when an annotation is assigned, the display of the related data confirmation dialog and the annotation assignment rule creation algorithm are based on the characteristics of the data included in the column and the comparison result between the columns. Apply. As a result, it is possible to generate an annotation assignment rule based on the data common to the columns and the comparison result between the planned number and the actual number.

  FIG. 19 also shows a state where the annotation “material shortage” is added to the row of the process 4 (result) of the Gantt chart. The procedure for giving this annotation is as follows. Delay reason information is selected as related data from the display data selection dialog by the user's operation, and a display of material shortage is arranged in the delay reason column of the related data confirmation dialog display (not shown) as a result. As a result, the user designates the annotation “material shortage” in the annotation entry field of the related data confirmation dialog. In response to this user operation, the rule creation unit 112 generates an annotation assignment rule using the rule creation algorithm of “common values included in columns (in the case of character strings)” in (1) of FIG. . More specifically, in the example of the figure, the portion corresponding to the selected area (process 4 (actual result) and the period of 11/1 to 12/31) of “delay reason information” that is the selected related data. In the column of “reason for delay”, the user adds an annotation after confirming that there is a common character string of “material shortage” over N5 lines. Therefore, the rule creation unit 112 generates a rule corresponding to this condition. Annotation rules are generated by extracting the area based on the condition that the same character string is arranged over N5 lines in the delay reason column of the delay reason information, and specifying it at the corresponding position on the Gantt chart by user input operation The annotation “material shortage” is automatically given. Here, specific numerical values such as the value of N5 are set at the time of system setting.

  Also in the present embodiment, the numerical values of N3, N4, and N5 are not set at the time of system setting, but can be modified so as to be set corresponding to the user's annotation assignment operation. To describe this modification in detail, a text box for inputting numerical values of N3, N4, and N5 determined by the user is added to the related data confirmation dialog at the time of selecting work performance information shown in FIG. The rule creation unit 112 is configured such that when these numerical values and annotations are input and an apply button is pressed, an annotation assignment rule is generated based on these numerical values.

  In the first embodiment, when an annotation is added, a related data confirmation dialog using a waveform is displayed and an annotation adding rule creation algorithm is applied. In the second embodiment, characteristics of data included in a column and a comparison result between columns Based on the above, the related data confirmation dialog was displayed and the annotation creation algorithm was applied. On the other hand, in Example 3, an annotation assignment rule is generated based on an annotation assigned in the past.

  Here, the description of the part that performs the same processing as in the first embodiment is omitted.

  FIG. 22 shows an example of the selection data D1 selected in S1 of FIG. Here, D1 is “facility operation data”. This is data representing the serial number, scheduled start date, scheduled completion date, actual start date, and actual completion date for the process. It has columns of production number, process, scheduled work start date, scheduled work completion date, work record start date, and work record completion date.

  FIG. 23 shows related data of the selection data D1. (A) is a list of related data. It has columns of data and related data. In this example, the data includes “equipment operation data”, and the related data includes the following data (b) and (c). (B) is “work data”. This is data representing the production number, the start date and the end date of the operation for the process. It has columns of serial number, process, work start date, and work completion date. (C) is “facility message information”. This is data that holds messages such as errors and status generated by equipment related to the process. It has columns of production number, process, schedule, message type, and equipment message.

  FIG. 24 shows an example of visualization contents obtained as a result of executing the data processing script by the data processing execution unit 111 in S1 of FIG. In this illustrated example, the schedule and results of process 1 of production numbers XX6 to XX9 are represented on the Gantt chart.

  FIG. 25 is a detailed flowchart of S2 of FIG. This is a procedure for the annotation creation operation by the user and the data creation process displayed in the related data confirmation dialog.

First, in step S <b> 601, the user selects an area using the input device 104. A related data group Dm predetermined for the selection data D1 is extracted from the DB 107. A data processing script group Sm given in advance to the data group Dm is extracted from the data processing script DB 121. Annotation data Am given in advance to the data group Dm is extracted from the annotation DB 122. In step S602, the display data selection dialog 360 shown in FIG. 27 is displayed, and the item m of the related data list 3601 selected by the user is obtained. Dm, Sm, Am, and selection area information are sent to the data processing execution unit 111 (S602). In step S603, the data processing execution unit 111 determines the parameter Pm from the selected area information and executes the data processing script Sm. Let L be an empty list. In step S604, annotation data Am is added to the execution result and displayed on the content display unit 3611 of the related data confirmation dialog 361. When the user thinks that the information displayed in the related data confirmation dialog is the cause, the user inputs the annotation Am ^* in the annotation input unit 3612 and presses down the apply button 3613. The selection data D1, data processing script Sm, parameter Pm, cause annotation Am, and annotation data Am ^* are added to the list L (S605). Cause area addition based on cause annotation Am, related arrow addition, and annotation Am ^* are added and displayed on the display (103) (S606). The list L is sent to the rule generation unit, and an annotation assignment rule is generated (S607).

  FIG. 26 shows an example of S601 in FIG. In this illustrated example, as parameter Pm of S603, “10/1” as “selection area horizontal axis start point”, “11/1” as “selection area horizontal axis end point”, “selection area vertical” as “area selection”. “Production number XX6: Process 1 (actual result)” is determined as the “axis item”. In “relevant data confirmation” in this figure, a “relevant data confirmation dialog” shown as an example in FIG. 27 is displayed. This dialog is also displayed as a result of S604.

  In this dialog, first, a display data selection dialog (360) is displayed, and related data to be displayed is selected by a user operation. (1) in FIG. 27 is an example of a related data confirmation dialog 361 displayed when work data is selected. The related data is displayed on the content display unit 3611. When it is desired to add an annotation based on this data, the annotation is input to the annotation input unit 3612 and the annotation application button 3613 is pressed.

  FIG. 28 shows an example of an annotation assignment operation result. In this illustrated example, a cause area is added based on an annotation for production number XX9: process 1 (actual result) given in the past, a related arrow from the cause area to the selected area is added, and the annotation “other delays” is added to the selected area. "Impact" has been added. Thereby, it is possible to know the influence of the selected area from the annotations given in the past.

FIG. 29 is a detailed flowchart of S606 in FIG. First, the length of the list L is M, R is an empty list, and m = 1 (S701). S703 to S705 are repeated until m exceeds M (S702). The annotation data Am ^* , the data processing script Sm, and the parameter Pm of the mth element of the list L are set (S703). In accordance with the annotation assignment rule creation algorithm G3, a rule r is created (S704). A set {D ₁ , r} of data D ₁ and r is registered in R. m = m + 1 (S705).
FIG. 30 shows an example of the annotation assignment rule creation algorithm G3. In this example, (a) selection area horizontal axis start point> cause area horizontal axis end point and selection area vertical axis item = cause area vertical axis item and there is annotation data given in advance in the relevant part of the related data, (b) selection Area horizontal axis start point> Cause area horizontal axis start point and selected area horizontal axis end point> Cause area horizontal axis end point and selection area vertical axis item = cause area vertical axis item (C) Selection area horizontal axis start point> Cause area horizontal axis start point and selection area horizontal axis end point <Cause area horizontal axis end point and selection area vertical axis item = cause area vertical axis item and annotation given in advance to the relevant part of related data It describes that there is data.

  FIG. 31 shows an example of the annotation assignment rule.

  According to the third embodiment of the invention, when an annotation is assigned, a related data confirmation dialog is displayed and an annotation assignment rule creation algorithm is applied based on the annotation given in the past. This makes it possible to generate an annotation assignment rule that takes into account the effects of annotations such as delay reasons given in the past.

  In the first to third embodiments, an example in which annotations are given to Gantt chart-like visualization contents has been described. In the fourth embodiment, an example in which annotation is given to a scatter diagram will be described.

  Here, the description of the part that performs the same processing as in the first embodiment is omitted.

  FIG. 32 shows an example of the selection data D2 selected in S1 of FIG. Here, D2 is “work activity information”. This is data representing a serial number, a work start date, a completion date, a work time, and a completion number for the process. It has columns of manufacturing number, process, work start date, work completion date, work time, number of completions, and cluster number. The cluster number column is a number given as a result of the clustering process based on the work time and the number of completions.

  FIG. 33 shows an example of visualization content as a result of executing the data processing script by the data processing execution unit 111 in S1 of FIG. In this illustrated example, the work time of work activity information is plotted on the horizontal axis and the number of completions is plotted on the vertical axis, and each line of work activity information is represented on a scatter diagram.

  FIG. 34 is a detailed flowchart of S2 of FIG. This is a procedure for the annotation creation operation by the user and the data creation process displayed in the related data confirmation dialog.

First, in step S <b> 801, the user selects an area on the scatter diagram using the input device 104. The information contained in the selected region in the data processing execution unit 111 extracts from the selected data D ₂ (S801). Next, in S802, the data extracted from D2 is displayed in the data confirmation dialog 460 as shown in FIG. 36, and when the user thinks that this line is not included in this selection area, the line is selected and the remove button ( Press down 4604) in FIG. Based on the result, the selected row is deleted. When the user thinks that the information displayed in the data confirmation dialog belongs to the selected area, the user inputs an annotation in the annotation input unit 4602 and presses down the apply button 4603. Annotation data is registered in the annotation DB 122, and selection data D2 and annotation data Am are added to the list L (S4603). The list L is sent to the rule generation unit, and an annotation assignment rule is generated (S4604).
FIG. 35 shows an example of S801 in FIG. In the “content confirmation” in this figure, a “data confirmation dialog” shown as an example in FIG. 36 is displayed. In this dialog, first, data included in the selection area extracted in S801 is displayed on the content display unit 4601. If there is a line that is not considered to be included in the selected area from the contents of the data, the line can be deleted. When it is desired to add an annotation based on this data, the annotation is input to the annotation input unit 4602 and the apply button 4603 is pressed down.

  FIG. 37 shows an example of an annotation assignment operation result. In this illustrated example, an annotation is given to each selected area, and points considered not to be included in the selected area are removed. As a result, it is possible to add annotations by picking up the types of work dynamics and points of concern.

  FIG. 38 is a detailed flowchart of S406 in FIG. First, M is the number of areas set by the user, L and R are empty lists, and m = 1 (S901). S903 to S907 are repeated until m exceeds M (S902). Nm pieces of data {Dmn (1 ≦ n ≦ Nm)} included in the m-th area are extracted, added to L, and T is an empty list (S903). S905 to S906 are repeated until n exceeds Nm (S904). Let the nth element of L be Dmn. An element tk (1 ≦ k ≦ Nm) is extracted from T. If tk is empty, Dmn is registered in T. If tk is not empty, the following is performed for all columns of Dmn. (1) If the column is a numerical value or date data, the maximum value, minimum value, average value, and trend are extracted and the value is updated. (2) If the column is other than a numerical value, an element is added (S905). L is emptied, and a set {m, T} of m and T is registered in R (S907).

  FIG. 39 shows an illustrative example for explaining the annotation assignment rule creation algorithm 4 in S905.

  FIG. 40 shows an example of the annotation assignment rule.

  According to the fourth embodiment of the present invention, when annotating a scatter diagram, a clustering result based on XY coordinates and display of a related data confirmation dialog using characteristics of related data and an annotation adding rule creation algorithm Apply. This makes it possible to generate an annotation assignment rule that takes into account the characteristics of related data in addition to classification based on XY coordinates.

  In the first to fourth embodiments, the example of generating the annotation assignment rule regarding a specific portion of each data has been described. In the fifth embodiment, an example in which an annotation assignment rule generated in advance is applied to another part of data having the same structure will be described.

  FIG. 41 is a flowchart for applying the annotation assignment rule generated in advance to another part of data having the same structure. First, in S1004, the annotation assignment rule group Rm is extracted from the rule DB 121. Let M be the length of Rm. S1006 to S1008 are repeated until m exceeds M (S1005). In S1006, the script parameter of Rm is changed as much as possible with the data specified by the data ID, and a set of parameters matching the rule is searched. If a set of parameters matching the rule is found, the annotation data Am created according to the rule is registered in the annotation DB 122 in S1007, and the matched annotation assignment rule r is registered in the rule DB 121.

  FIG. 42 shows an example of the result of applying the annotation assignment rule and an example of the applied annotation assignment rule. Here, as an example, an annotation assignment rule application example to which the annotation assignment rule described in the second and third embodiments is applied is shown.

  According to the fifth embodiment of the invention, it is possible to apply an annotation assignment rule generated in advance to another part of data having the same structure. As a result, it is possible to issue an alert using N-times of annotations or annotation assignment rules.

  The best mode for carrying out the present invention has been described above. However, the present invention is not limited to the above-described illustrated examples, and various modifications can be made without departing from the scope of the present invention. .

101 Server 102 Computer 103 Display 104 Input Device 105 Network 106 Network 107 DB
111 Data processing execution unit 112 Rule creation unit 113 Rule application unit 120 Data processing script DB
121 Rule DB
122 Annotation DB

Claims (11)

A Gantt chart showing a plurality of steps scheduled and executed one after another on a time axis is displayed, and the annotation of the user in a selected area on the Gantt chart is accepted, and the annotation is displayed on the Gantt chart. An annotation extension method in the process management system for superimposing display on
In response to a user operation to select one of a plurality of types of related data corresponding to the selected area of the Gantt chart, the selected related data is displayed.
Specify the content of the annotation, accept user operations to apply the annotation,
Annotation for giving a specified annotation in an expanded manner other than the selected location based on the type of the selected related data and the feature of the portion corresponding to the selected area of the selected related data Generate and register rules,
Searching the related data, extracting a location where the registered annotation assignment rule is applied, and additionally displaying the annotation at a position on the Gantt chart corresponding to the extracted location Grant method. The generation of the annotation assignment rule is such that a maximum value of a waveform related to the selected related data exceeds a first specified value, or a cumulative value in a specified period of the waveform exceeds a second specified value, Alternatively, the annotation annotating rule that is generated in response to a period in which the waveform exceeds a threshold exceeds a third specified value, and the generated annotation assignment rule has a maximum value in the waveform related to the selected related data. The region is extracted by OR logic of three conditions that the first specified value exceeds, the cumulative value in the specified period exceeds the second specified value, and the period in which the waveform exceeds the threshold exceeds the third specified value, 2. The annotation extension assigning method according to claim 1, wherein the annotation is additionally displayed at a position corresponding to the extracted area.   2. The annotation extension assigning method according to claim 1, wherein the first designated value, the second designated value, and the third designated value are respectively set at the time of system setting of the process management system.   The annotation according to claim 4, wherein the first designated value, the second designated value, and the third designated value are set at the time of a user operation that designates the content of the annotation and applies the annotation. Extension grant method.   In the generation of the annotation assignment rule, the number of rows corresponding to the selected area of the selected related data, where “a numerical value of a certain column <a numerical value of another column” is equal to or greater than a predetermined number of rows, The annotation adding rule generated in response to the difference between the maximum value and the minimum value of the numerical value of the column being equal to or greater than a predetermined value, indicates that the selected related data is “the numerical value of the certain column <the above-mentioned OR logic of the first condition that there are more than the predetermined number of rows that are “numerical values of other columns” and the second condition that the difference between the maximum value and the minimum value of the date column is greater than or equal to the predetermined value 2. The annotation extension assigning method according to claim 1, wherein an area is extracted by the method, and the annotation is additionally displayed at a position corresponding to the extracted area.   6. The annotation extension assigning method according to claim 5, wherein the numerical value of the predetermined number of rows and the numerical value of the predetermined value are respectively set at the time of system setting of the process management system.   6. The annotation extension imparting method according to claim 5, wherein the numerical value of the predetermined number of lines and the numerical value of the predetermined value are set at the time of a user operation that specifies the content of the annotation and applies the annotation. .   The generation of the annotation assignment rule is performed in response to the presence of a common character string over a predetermined number of rows or more in a specific column of the portion corresponding to the selected area of the selected related data. The annotation rule to be extracted is based on the condition that a common character string exists over the predetermined number of rows or more in the specific column of the selected related data, and corresponds to the extracted region The annotation extension providing method according to claim 1, wherein the annotation is additionally displayed at a position to be displayed.   5. The annotation extension assigning method according to claim 4, wherein the value of the predetermined number of rows is set at the time of system setting of the process management system.   6. The annotation extension assigning method according to claim 5, wherein the value of the predetermined number of lines is set at the time of a user operation that specifies the content of the annotation and applies the annotation. A Gantt that performs data processing according to a data processing script for data selected by the user among various data stored in the DB, and develops a plurality of steps scheduled and executed one after another on a time axis. A process management system comprising a data processing execution unit for creating display data for displaying a chart, for determining whether or not an annotation designated by a user is superimposed on a selected area on the Gantt chart An input means for selecting one of a plurality of related data, an input operation for confirming the selected related data and instructing application of the annotation, and an input means for receiving an input operation for specifying the content of the annotation to be applied;
Generate an annotation assignment rule that gives the specified annotation in an expanded manner to places other than the selected place, based on the type of the selected related data and the characteristics of the selected related data in the selected area. A rule creation unit to be registered
A rule application unit that searches the related data, extracts a place where the registered annotation assignment rule applies, and additionally displays the annotation at a position on the Gantt chart corresponding to the extracted part. A characteristic process management system.

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