WO2013061371A1

WO2013061371A1 - Information processing device and method

Info

Publication number: WO2013061371A1
Application number: PCT/JP2011/005997
Authority: WO
Inventors: 美樹川内; 裕吉川; 荒井　正人
Original assignee: 株式会社日立製作所
Priority date: 2011-10-26
Filing date: 2011-10-26
Publication date: 2013-05-02

Abstract

[Problem] To propose an information processing device and method that are capable of designing a job process most adapted to a goal reflecting a user's consideration of an effect through time. [Solution] As job-related information for a job to be designed, information is gathered that represents: the job description of the job; equipment related to the job; a resource of an organization that executes the job; a goal of the job; and a job process that is a processing procedure of the job. A means for achieving the goal of the job to be designed is estimated on the basis of: the job-related information for the job to be designed; job-related information for each of multiple past examples stored beforehand; and time-series index information that comprises time-series numerical values of an index that indicates the degree of achievement of a goal for a job among said examples after a change in a job process in the examples. On the basis of the example time-series index information, a predicted value of the index is estimated, said predicted value being applicable when the estimated means is used for the job process of the job to be designed. The estimated means and predicted value are displayed.

Description

Information processing apparatus and method

The present invention relates to an information processing apparatus and method, and is particularly suitable for application to a business process design apparatus that proposes improvement of a business process consisting of a business processing procedure.

Conventionally, the PDCA cycle is widely known as a management technique for promoting continuous improvement of business processes (Patent Document 1). The PDCA cycle consists of a planning process (P: Plan) that creates a business plan based on previous business results and future forecasts, an execution process (D: Do) that performs business according to the plan, and implementation of the business. This is a management cycle in which an analysis process (C: Check) for confirming whether or not is in line with a plan and a review process (A: Act) in which a portion of execution is not in line with the plan is examined and treated. According to such a PDCA cycle, it is possible to continuously improve the business process while grasping, analyzing and correcting the improvement part of the business process.

In addition, as a method of measuring the degree of achievement of organizational goals or strategies, traditional performance indicators (hereinafter referred to as KPI (Key Performance Indicator)) and performance evaluation indices (hereinafter referred to as PI (Performance Indicator)) Has been proposed (Non-Patent Document 1). By introducing the KPI or PI and monitoring the business process, it is possible to determine the improvement point of the business process in realizing the company's goal and strategy.

Patent Document 1 proposes a method for changing business processes by linking corporate goals, measures, indicators, assets, and business processes, and Patent Document 2 proposes a method for evaluating the similarity between business processes. Has been.

JP 2006-268592 A JP 2010-176288 A

By the way, in Patent Document 1, a strategy, an index, and an asset of a company are associated, a means and a process are linked, and an index predicted value of a process to be implemented in the future is calculated. However, the predicted value of the indicator is a measure that determines whether the indicator changes immediately after executing the means and changes the business process, or whether the indicator changes after a lapse of time. The timing of the time and the passage of time are not considered.

Therefore, how to improve the business process when it is desired to immediately obtain an effect when the business process is improved, and what improvement should be made when it is necessary to implement measures that do not vary in quality after the improvement of the business process. There was a problem that it was not possible to determine whether it should be performed, and it was impossible to set or improve the most effective business process based on the elapsed time of the effect.

The present invention has been made in consideration of the above points, and intends to propose an information processing apparatus and method that allows a user to design a business process most suitable for a target, taking into account the passage of time of effect. It is.

In order to solve such a problem, in the present invention, the business content of the target business, the equipment related to the business, the resource consisting of the resources of the organization executing the business, the target for the business, An information collection unit that collects information representing each business process in the processing procedure as business related information of the business, the business related information for each past case, and the business process after changing the business process in the case A storage unit that sequentially stores index time-series information including time-series numerical values of an index indicating a degree of achievement of a target for a case task; the task-related information of the target task; and the task-related information of the case And means for estimating means for achieving the target of the target business based on the index time series information, and the business of the target business When the means estimated by the means estimating means is adopted as a process, a predicted value estimation unit that estimates a predicted value of the index based on the index time-series information of the case, and the estimated value estimated by the means estimation unit The means and a display unit for displaying the predicted value estimated by the predicted value estimation unit are provided.

In the present invention, the business content of the target business, the equipment related to the business, the resource consisting of the resources of the organization executing the business, the target for the business, and the business procedure comprising the business procedure A first step of collecting information representing each process as business related information of the business, the business related information of the target business, the business related information for each past case stored in advance, And the target time of the target business based on the index time-series information composed of time-series numerical values of the index indicating the degree of achievement of the target for the business of the case after changing the business process in the case. A second step of estimating means for achieving, and a predicted value of the indicator when the estimated means is employed in a business process of the target business, A third step of estimating, based on the example index time series information, and to provide a fourth step of displaying the unit and the predicted values were estimated.

According to the present invention, it is possible to realize an information processing apparatus and method that allow a user to design a business process most suitable for a target based on the time course of effects.

It is a block diagram which shows schematic structure of the information processing apparatus by this Embodiment. It is a conceptual diagram which shows the structural example of a case database. It is a flowchart which shows the process sequence of a business process design process. It is the schematic which shows the structural example of the business information input screen. It is the schematic which shows the structural example of a resource information input screen. It is the schematic which shows the structural example of a target and parameter | index input screen. It is the schematic which shows the structural example of the business process information input screen. It is the schematic which shows the structural example of an index estimated value display screen. It is a conceptual diagram with which it uses for description of the data type in a resource. It is a flowchart which shows the process sequence of a means estimation process. It is a flowchart which shows the process sequence of an index estimated value acquisition process. It is a chart used for description of a resource evaluation value. It is a chart used for description of a resource evaluation value. It is a chart used for description of a resource evaluation value. It is a chart used for description of a resource evaluation value. It is a chart used for description of a resource evaluation value. It is a chart used for description of the degree of similarity between the target business and examples. It is a chart used for description of the degree of similarity between the target business and examples. It is a flowchart which shows the process sequence of a resource evaluation value calculation process. It is a radar chart used for description of a resource evaluation value calculation process.

Hereinafter, an embodiment of the present invention will be described in detail with reference to the drawings.

(1) Physical configuration of information processing apparatus according to this embodiment In FIG. 1, reference numeral 1 denotes a schematic configuration of an information processing apparatus according to this embodiment as a whole. The information processing apparatus 1 includes a CPU (Central Processing Unit) 2, a memory 3, a disk device 4, an input device 5, a display device 6, and the like, and includes, for example, a personal computer or a general-purpose server device.

The CPU 2 is a processor that controls operation of the information processing apparatus 1 as a whole, and executes various processes as described below by executing a program stored in the memory 3. The memory 3 is used mainly for storing various programs and also used as a work memory for the CPU 2. A business process design program 10, a business process similarity determination program 11, a means estimation program 12, a resource evaluation determination program 13, a case similarity determination program 14, and an index predicted value estimation program 15, which will be described later, are also disk devices when the information processing apparatus 1 is started. 4 is read out, stored in the memory 3 and held.

The disk device 4 is a large-capacity storage device, and is composed of, for example, a hard disk device. A case database 20, a business process similarity model database 21, a resource evaluation model database 23, a resource information database 22, and an index time series information database 24, which will be described later, are stored and managed in this disk device 4.

The input device 5 is a device for a user to input various types of information and instructions, and includes an information input device (not shown) such as a keyboard, a switch, a pointing device, and a microphone. The display device 6 is a device for displaying various GUI (Graphical User Interface) screens and other information, and includes a liquid crystal display, a plasma display, and the like.

(2) Business Process Design Function (2-1) Outline Next, the business process design function installed in the information processing apparatus 1 of this embodiment will be described. In the following, the contents of the business conducted at the company and the information related to the equipment related to the business are “business information”, the corporate strategy and policy are “target”, and the method for achieving the target is “means”, An index indicating the degree of achievement of the target is referred to as “KPI”, and indices other than the KPI indicating the degree of achievement of the target (for example, “quality”, “cost”, and “time”) are referred to as “PI”.

In addition, the estimated value of the index when a business process that adopts such “means” is executed is called “predicted value”, and further, “in the organization that executes the target business (hereinafter referred to as“ target business ”)” Information about “resources” and “resources” is individually referred to as “resource information”, or resources such as “people”, “things”, and “money” are individually or collectively.

In addition, in the case of the present embodiment, past case business information, resource information, goals, business process indicators (KPI and PI) acquired in the past business process design process executed in the past, and The business process before improvement is registered in the information processing apparatus 1, and the post-improvement business process and the index (KPI and post-improvement) of the business process that is input by the user regularly or irregularly for each of these cases. PI) value is registered in the information processing apparatus 1.

Here, in the information processing apparatus 1, business-related information of the business that is the target at that time (hereinafter referred to as “target business”) input by the user, and past cases registered in the information processing apparatus 1. Based on various information including business related information, estimate the means to achieve the target of the target business, and the predicted values of the indicators (KPI and PI) when the method is adopted for the target business in the past It is equipped with a business process design function that estimates and presents to the user.

In practice, the information processing apparatus 1 displays the GUI screen described later with reference to FIGS. 4 to 7 on the display device 6 at the time of execution of the business process design process based on the business process design function. Resource information of resources related to the target business, target business target and KPI, and information indicating the current business process of the target business (hereinafter referred to as business process information) Collect information from users.

Then, the information processing apparatus 1 has the same business content and target as the target business based on the collected business-related information of the target business and the target equipment (equipment targeted for the target business or equipment related to the target business) and Search for past cases with the same or similar business processes. Then, the information processing apparatus 1 presents the means adopted in the case detected by the search as means for improving the business process of the target business, and the individual cases sequentially input by the user after the business process is improved for the case. The time-series values of the indices (KPI and PI) are estimated as predicted values of the indices when the means is adopted for the target business, and this is presented to the user. In the following, information representing time-series values of indices is referred to as index time-series information.

As means for executing the business process design process as described above, the memory 3 of the information processing apparatus 1 has a business process design program 10, a business process similarity determination program 11, a means estimation program, as shown in FIG. 12, a resource evaluation determination program 13, a case similarity determination program 14, and an index prediction value estimation program 15 are stored. The disk device 4 of the information processing apparatus 1 includes a case database 20, a business process similarity model database 21, a resource evaluation A model database 23, a resource information database 22, and an index time series information database 24 are stored.

Among these, the business process design program 10 displays the GUI screens shown in FIGS. 4 to 7 on the display device 6, and takes various information input by the user on these GUI screens into the memory 3 or the disk device 4 or as necessary. In response to this, the program has a function of starting another program.

The business process similarity determination program 11 is a program for determining the degree of similarity between the business process of the target business and the business process of the past case (hereinafter referred to as business process similarity). Various methods for determining the similarity of business processes have been proposed in the past, but in the case of this embodiment, the business process similarity determination program 11 is, for example, the above-mentioned Patent Document 2 (Japanese Patent Laid-Open No. 2010-176288). Assume that the degree of similarity between business processes is determined by the method disclosed in the Japanese Patent Publication.

Based on the determination result of the business process similarity determination program 11, the means estimation program 12 has the same business content and target as the target business among the cases registered in the case database 20, and the target facility and the business process. Is a program that extracts cases of the same or similar business and estimates the optimum means for achieving the target set for the target business based on the extracted cases.

In addition, the resource evaluation determination program 13 evaluates the relative value of each resource related to the target business and each case for the target business and each case extracted by the means estimation program 12 (hereinafter referred to as this). Is referred to as a resource evaluation value), and the case similarity determination program 14 is based on the resource evaluation value of each resource determined by the resource evaluation determination program 13 and the similarity between the target business and each case ( In the following, this is referred to as case similarity), and a program that extracts the case closest to the target task is extracted.

Further, the predicted index value estimation program 15 estimates the predicted value of the index (KPI and PI) when the means adopted in the case is adopted for the target business, based on the case extracted by the case similarity determination program 14. It is a program to do.

On the other hand, the case database 20 is a database for managing business-related information of individual cases acquired in the past business process design process. This case database 20 includes business process information indicating a business process after the improvement of the business, and various indexes (KPI and PI) after the business process that are input by the user regularly or irregularly. ) Is also stored.

A configuration example of the case database 20 is shown in FIG. As is clear from FIG. 2, the case database 20 of this embodiment includes a key column 20A, a business column 20B, an equipment column 20C, a resource column 20D, a business process column 20E, a target column 20F, a means column 20G, and an index. It consists of a column 20H.

The key column 20A stores the identification key assigned to the corresponding case, and the business column 20B stores the identification code assigned to the business of the case (hereinafter referred to as a business code). Is done. In addition, the facility column 20C stores identification codes (hereinafter referred to as facility codes) assigned to combinations of all target facilities related to the business in the case, and the resource column 20D stores the business of the case. The resource evaluation value for each resource calculated for each resource related to is stored.

The business code is associated with information indicating the business content of the business of the case stored in the business process similarity model database 21, and the equipment code is also stored in the business process similarity model database 21. Is associated with information representing the target equipment in the case. Therefore, based on these business code and equipment code, the specific business content and target equipment of each case can be read from the business process similarity model database.

The business process column 20E stores an identification code (hereinafter referred to as a business process code) assigned to the business process of the corresponding case, and the target column 20F stores the business of the case by the user. The set target is stored. The business process code is associated with the business process information of the case stored in the business process similarity model database 21. Therefore, based on the business process code, the business process information of each case can be read from the business process similarity model database. Furthermore, the means column 20G stores means adopted to achieve the target in the case.

On the other hand, the indicator column 20H includes an item column 20HA, a KPI column 20HB before improvement, a quality column 20HC before improvement, a time column 20HD before improvement, a cost column 20HE before improvement, a KPI column 20HF after improvement, a quality column 20HG after improvement, and a time after improvement. It consists of a column 20HH and a post-improvement cost column 20HI.

In the item column 20HA, an index (KPI) in the case is stored, and in the pre-improvement KPI column 20HB, the pre-improvement KPI in the case is stored. The pre-improvement quality column 20HC, the pre-improvement time column 20HD, and the pre-improvement cost column 20HE are each provided with an identification code (PI) assigned to each of the PIs before improving the business process, specifically, quality, time and cost. Hereinafter, these are collectively referred to as a PI code). These PI codes are associated with actual values of quality, time, and cost stored in the index time series information database 24 by the user. Therefore, based on these PI codes, it is possible to read the index time series information of the PI before the business process improvement from the index time series information database 24.

Further, the post-improvement KPI column 20HF stores the KPI after improvement of the business process in the case that is input regularly or irregularly by the user. The post-improvement quality column 20HG, the post-improvement time column 20HH, and the post-improvement cost column 20HI store PI identifiers assigned to the post-improvement quality, time, and cost, respectively. These identifiers are associated with measured values of quality, time, and cost (index time series information input by the user) stored in the index time series information database 24. Therefore, based on these PI identifiers, the PI index time-series information after the business process improvement can be read from the index time-series information database 24.

The business process similarity model database 21 stores various types of information used when the business process similarity determination program 11 determines the business process similarity between business processes used when determining the business process similarity. It is a database. The various types of information stored in the business process similarity model database 21 include business information representing business content and target equipment for each case and business process information for each case as described above.

Further, the resource information database 22 stores resource information of each resource related to the business of the case to which the identification key is assigned in correspondence with the identification key stored in each key column 20A (FIG. 2) of the case database 20. It is a stored database. Further, the resource evaluation model database 23 calculates a resource evaluation value of each resource of the target business by the resource evaluation determination program 13 or calculates a resource evaluation value of a necessary resource in the case extracted by the case similarity determination program 14. It is a database that stores various information used at the time.

(2-2) Business Process Design Processing Next, specific processing contents of various processing executed by the CPU 2 of the information processing apparatus 1 in relation to the business process design function will be described.

FIG. 3 shows a flow of business process design processing executed by the CPU 2 in relation to the business process design function. The CPU 2 performs this business process design process by performing the business process design program 10, the business process similarity determination program 11, the means estimation program 12, the resource evaluation determination program 13, the case similarity determination program 14, and the index prediction value described above with reference to FIG. It executes based on the estimation program 15.

That is, when the execution instruction of the business process design process is input by the user, the CPU 2 starts the business process design process shown in FIG. 3, and first displays the business information input screen 30 described later with reference to FIG. ) To prompt the user to input business information related to the target business. When the user inputs necessary business information on the business information input screen 30, the information processing apparatus 1 takes this into the memory 3 (FIG. 1) and the disk device 4 (FIG. 1) as the business information of the target business. (SP1).

Subsequently, the CPU 2 prompts the user to input resource information of resources related to the target business by displaying a resource information input screen 40 described later with reference to FIG. 5 on the display device 6. Then, when the user inputs necessary resource information on the resource information input screen 40, the information processing apparatus 1 takes this into the memory 3 and the disk device 4 as the resource information of the target business (SP2).

Next, the CPU 2 displays a target / index input screen 50, which will be described later with reference to FIG. 6, on the display device 6, thereby indicating a target indicating how to improve the business process of the target business, a current index (KPI), and Prompts the user to enter Then, when the user inputs the target and the index on the target / index input screen 50, the information processing apparatus 1 takes them into the memory 3 and the disk device 4 as the target and index information of the target job (SP3).

Further, the CPU 2 prompts the user to input the current business process of the target business by displaying a business process input screen 60 described later with reference to FIG. 7 on the display device 6. When the current business process of the target business is input by the user on the business process input screen 60, the information processing apparatus 1 displays information indicating the current business process of the target business (hereinafter referred to as the current business process). (Referred to as process information) in the memory 3 and the disk device 4 (SP4)

Thereafter, the CPU 2 selects the target business, the business content and the current business process from the past cases currently registered based on the business information, resource information, target, index information, and current business process information acquired in steps SP1 to SP4. Several cases where the target is the same and the target equipment and the business process are the same or similar are extracted, and a means for achieving the target specified by the user for the target business is estimated based on the extracted case (SP5). ).

Subsequently, for each means detected in step SP5, the CPU 2 obtains a predicted value of the index when the means is adopted in the target business (SP6), and a diagram based on the obtained predicted value of the index for each such means. An index predicted value display screen 70 as shown in FIG. 8 is displayed on the display device 6 (SP7). Thus, at this time, the user selects a desired means based on the predicted value of the index when each means displayed on the index predicted value display screen 70 is executed, and adopts the means for the target business. Become.

After that, the CPU 2 makes an index (KPI, PI) of the target business after improvement (that is, after the means selected by the user in step SP7 is adopted for the target business) that is input by the user regularly or irregularly. ) And is sequentially registered as index time series information of the case in the index time series information database 24 in association with the target business (SP8).

In addition, when the target, means or resource change request is input for the target business after that, the CPU 2 returns to step SP2 to return to this step. Thereafter, steps SP2 to SP8 are processed in the same manner (SP9).

(2-3) Configuration of Each GUI Screen FIG. 4 shows a configuration example of the business information input screen 30 described above for step SP1 of FIG. The business information input screen 30 shown in FIG. 4 includes a business designation field 31 for designating a target business and a plurality of targets for designating equipment related to the target business (hereinafter referred to as target equipment). And equipment designation fields 32A to 32E.

The business designation field 31 is provided with a pull-down button 33. By clicking on this pull-down button 33, a pull-down menu (FIG. 1) showing all the business contents registered in the case database 20 (FIG. 1). (Not shown) can be displayed. Thus, the user can specify the target business by selecting the corresponding business content from the business content described in this pull-down menu. Then, the business content selected at this time (that is, the business content of the target business) is displayed in the business designation field 31.

Each target equipment designation field 32A to 32E is also provided with a pull-down button 34A to 34E. By clicking on this pull-down button 34A to 34E, it is registered as equipment related to the corresponding business contents on the case database 20. A pull-down menu (not shown) in which the names of all the installed facilities are described can be displayed. Thus, the user can designate the equipment (target equipment) related to the target business by selecting the corresponding equipment name from the equipment names described in this pull-down menu. The equipment name selected at this time is displayed in the target equipment designation fields 32A to 32E.

Note that FIG. 4 is an example in the case where the periodic inspection of the “power supply device” included in the “electric system” in the “first plant” of the “nuclear power plant” in the “electric power company” is a target business. Therefore, in FIG. 4, “maintenance-periodic inspection” is designated as the target business, and “electric power company”, “XX nuclear power plant”, “first plant”, “electric system”, and “power supply device” are specified as target facilities. "Is designated as an example.

Also, an OK button 35 and a cancel button 36 are displayed at the lower right of the business information input screen 30. Then, on the business information input screen 30, by clicking an OK button 35, the business content of the target business displayed in the business designation field 31 and the target equipment designation fields 32A to 32E at this time and the equipment names of the related equipment are displayed. Can be taken into the information processing apparatus 1 as the business information of the target business, and by clicking the cancel button 36, the target business displayed in the business designation field 31 and the target facility designation fields 32A to 32E at this time, respectively. The business process design process can be terminated after discarding the business contents and the equipment names of the related equipment.

On the other hand, FIG. 5 shows a configuration example of the resource information input screen 40 described above for step SP2 of FIG. This resource information input screen 40 is a GUI screen displayed on the display device 6 in place of the business information input screen 30 when the OK button 35 (FIG. 4) of the business information input screen 30 (FIG. 4) is clicked. And includes a plurality of resource information input fields 41 to 45 for inputting resource information of necessary resources. In the resource information input fields 41 to 45, the resource information of the corresponding resource can be input using the input device 5 (FIG. 1). The resource information input at this time is input to the resource information input field 41. Is displayed.

FIG. 5 shows a configuration example of the resource information input screen 40 when the input on the business information input screen 30 has the contents as shown in FIG. 4. The target business specified on the business information input screen 30 is shown in FIG. Is not “maintenance-periodic inspection”, the resource information input screen 40 having a configuration corresponding to the target business designated at that time is displayed.

Incidentally, FIG. 5 shows resource information input fields 41 to 45 as “cost”, “human skill”, “equipment years” in consideration of “quality” and “quantity” for “person”, “thing” and “gold”. ”,“ Scale ”, and“ Number of people ”are shown as an example of a configuration in which five fields are provided. In FIG. 5, “Million Yen” is necessary as the “cost” necessary for the execution of the target business, and “L4 (Level 4)”, “L3 (Level 3)”, “L2” as the “personal skill” belonging to the company. (Level 2) ”and“ L1 (Level 1) ”have“ 60 ”,“ 90 ”,“ 90 ”and“ 60 ”respectively, and the total number of employees is“ 300 ” Is entered. Here, as shown in FIG. 9, the person in charge of the large-scale organization, the highest level professional or skilled person is designated as “L4”, and the person in charge of the medium-sized organization or highly specialized or skilled person is designated as “L4”. “L3” is set, the central member of the group or team is “L2”, and the person in charge is “L1”. Further, in FIG. 5, as “equipment years”, “power supply device” is “use period 5 years”, “control device” is “use period 3 years”,. In this example, it is input that devices such as “stand” and “10 stationary devices” exist.

Also, an OK button 46 and a cancel button 47 are displayed at the lower right of the resource information input screen 40. In the resource information input screen 40, by clicking an OK button 46, the resource information of each resource displayed in each of the resource information input fields 41 to 45 at this time can be taken into the information processing apparatus 1, By clicking the cancel button 47, the resource information displayed in each of the resource information input fields 41 to 45 at this time can be discarded and the business process design process can be terminated.

On the other hand, FIG. 6 shows a configuration example of the target / index (KPI) input screen 50 described above for step SP3 in FIG. This target / index (KPI) input screen 50 is displayed on the display device 6 instead of the resource information input screen 40 when the OK button 46 (FIG. 5) of the resource information input screen 40 (FIG. 5) is clicked. A target designation field 51 for designating a target, an index designation field 52 for designating an index (KPI), and an index value input field 53 for inputting a current index value It is prepared for.

The target designation field 51 is provided with a pull-down button 54. By clicking on this pull-down button 54, a pull-down in which all the targets registered as targets of the corresponding business contents on the case database 20 are described. A menu (not shown) can be displayed. Thus, the user can designate the target at that time by selecting a desired target from the targets described in the pull-down menu. The target selected at this time is displayed in the target designation field 51.

Each index designation field 52 is also provided with a pull-down button 55, and by clicking on this pull-down button 55, all indices registered as corresponding business content indices on the case database 20 are described. A pull-down menu (not shown) can be displayed. Thus, the user can designate an index (KPI) by selecting a desired index from the indices described in this pull-down menu. The index (KPI) selected at this time is displayed in the index designation field 52.

Furthermore, in the index value input field 53, the current index value can be input using the input device 5, and the index value input at this time is displayed in the index value input field 53.

Accordingly, in FIG. 6, “Human error reduction” is specified as “Target”, “Human error count” is specified as “Indicator”, and “Human error” is “5 cases / month” as current index value. The example in the case where the input that it is is performed is shown.

Also, an OK button 56 and a cancel button 57 are displayed at the lower right of the target / index input screen 50. Then, on the target / index input screen 50, by clicking an OK button 56, the target, index (KPI), and index value displayed in the target designation field 51, index designation field 52, and index value input field 53 at this time, respectively. Can be taken into the information processing apparatus 1, and by clicking the cancel button 47, the business process design process can be terminated after discarding the information.

Further, FIG. 7 shows a configuration example of the business process input screen 60 described above for step SP4 of FIG. This business process input screen 60 is a GUI displayed on the display device 6 in place of the target / index input screen 50 when the OK button 56 (FIG. 6) on the target / index input screen 50 (FIG. 6) is clicked. It is a screen. In the case of the information processing apparatus 1 according to the present embodiment, for each business that can be specified in the business specification field 31 (FIG. 4) of the business information input screen 30 (FIG. 4), a typical business process pattern (hereinafter referred to as the business process pattern). This is called a business process pattern). On the business process input screen 60, by selecting a business process pattern having the same flow as the business process of the target business from among several business process patterns stored in the information processing apparatus 1, the flow of the business process pattern is selected. 61 can be displayed in a flow diagram display area 62 provided in the center of the screen.

In this case, the flow diagram displayed in the flow diagram display area 62 can be freely processed by operating the input device 5 (FIG. 1). Thus, the user selects a business process pattern that is closest to the business process of the target business, and processes the flow diagram 61 of the selected business process pattern as necessary, so that the target business flow diagram 61 is converted into the business process input screen 60. Can be displayed in the flow diagram display area 62.

Also, an OK button 63 and a cancel button 64 are displayed at the lower right of the business process input screen 60. In the business process input screen 60, by clicking an OK button 63, the business flow shown in the flow diagram 61 displayed in the flow diagram display area 62 at this time is used as the business process information of the business process of the target business. By clicking the cancel button 64, it is possible to terminate the business process design process after discarding the flow diagram 61.

On the other hand, FIG. 8 shows a configuration example of the index predicted value display screen 70 described above for step SP7 of FIG. This index predicted value display screen 70 is a GUI screen displayed on the display device 6 instead of the business process input screen 60 when the OK button 63 on the business process input screen 60 (FIG. 7) is clicked. A display field 71, an index display field 72, a target achievement means list 73, and an index predicted value list 74 are configured.

In the target display field 71 and the index display field 72, the target specified by the user in step SP3 of FIG. 2 and the current index value are displayed, respectively.

The target achievement means list 73 is a list of means for achieving the goal set by the user estimated by the means estimation program 12 in step SP5 of FIG. 3, and is composed of a means column 73A and a business process column 73B. Is done. In the means column 73A, a method (means) for achieving the target estimated based on each case extracted in step SP5 in FIG. 3 is displayed. In the work process column 73B, the current work process of the target work is displayed. A flow diagram 73BA showing the flow of the business process and flow diagrams 73BB to 73BD showing the flow of the business process of the target business when the corresponding means is adopted are displayed.

Furthermore, the index predicted value list 74 includes graphs 74A to 74C showing changes in KPI over time when the means registered in the target achievement means list 73 is adopted as the business process of the target work, and the PI (quality, Graphs 74D to 74F representing changes over time in cost and time are displayed for each means.

(2-4) Means Estimation Processing FIG. 10 shows specific processing contents of means estimation processing executed by the CPU 2 based on the means estimation program 12 in step SP5 of FIG.

When the CPU 2 proceeds to step SP5 in FIG. 2, the means estimation process shown in FIG. 10 is started. First, the case database 20 (FIG. 1) is searched, and the case where the target work, the work content, and the target equipment are the same. All cases with the same goal as the goal set for the target business are extracted. Further, the CPU 2 reads out, from the case database 20, the means adopted to achieve the target for each extracted case (SP10).

Therefore, for example, when a target of “I want to reduce human errors” is set for the target business, the processing of this step SP10 makes “instruction mobilization”, “introduction of checklist”, and “confirmation work by the confirmer”. Means such as “add” are extracted. In the following, the means extracted at this time are referred to as “means candidates”.

Subsequently, the CPU 2 selects one means candidate from the means candidates extracted in step SP10 (SP11), and selects the case with the same business process from the cases adopting the selected means candidate on the case database 20. (SP12).

Specifically, the CPU 2 selects one case adopting the selected means candidate, and based on the business process similarity determination program 11 whether or not the business process in the case is the same as the business process of the target business. judge. When the CPU 2 determines that the business process of the case is the same as the business process of the target business, the CPU 2 stores the case as the same case of the target business and the business process. Move the decision to the case. On the other hand, when the CPU 2 determines that the business process of the case is not the same as the business process of the target business, the determination is shifted to the next case where the means candidate is adopted. And CPU2 performs the same process about all the cases detected in step SP10.

Next, the CPU 2 determines whether or not the corresponding case can be detected by the search in step SP12 (that is, whether or not there is a case where the business process is stored as the same case in the process of step SP12) (SP13). ). If the CPU 2 obtains a positive result in this determination, it stores the means candidate selected at step SP11 at that time as means for achieving the target set for the target business (SP19). At this time, the CPU 2 also stores the number of cases in which the means candidates are adopted. Then, the CPU 2 proceeds to step SP20.

On the other hand, if the CPU 2 obtains a negative result in the determination at step SP13, it searches the case database 20 for a case with a similar business process from the cases where the means candidate selected at step SP11 is adopted (SP14).

Specifically, the CPU 2 selects one case in which the means candidate selected in step SP11 is adopted, and the business process similarity determination program 11 determines whether the business process in the case is similar to the business process of the target business. Judgment based on. When the CPU 2 determines that the business process of the case is similar to the business process of the target business, the CPU 2 stores the case as a case where the target business and the business process are similar, and then the next case where the means candidate is adopted. Move the judgment to. On the other hand, when the CPU 2 determines that the business process of the case is not similar to the business process of the target business, the CPU 2 moves the determination to the next case where the means candidate is adopted. And CPU2 performs the same process about all the cases detected in step SP10.

Next, the CPU 2 determines whether or not the corresponding case can be detected by the search in step SP14, that is, whether or not there is a case stored as a case where the business process is similar in step SP14 (SP15). If the CPU 2 obtains a positive result in this determination, it stores the means candidate selected at step SP11 at that time as means for achieving the target set for the target business (SP19). At this time, the CPU 2 also stores the number of cases in which this means candidate is adopted. Then, the CPU 2 proceeds to step SP20.

On the other hand, if the CPU 2 obtains a negative result in the determination at step SP15, the business process is the same or similar from the cases adopting the means candidate selected at step SP11, and the equipment in the case is the target of the target business Cases similar to equipment are searched on the case database 20 (SP16).

Then, the CPU 2 determines whether or not the corresponding case has been detected by the search in step SP16 (SP17). If the CPU 2 obtains a positive result in this determination, it stores the means candidate selected at step SP11 at that time as means for achieving the target set for the target business (SP19). At this time, the CPU 2 also stores the number of cases in which this means candidate is adopted. Then, the CPU 2 proceeds to step SP20.

In contrast, if the CPU 2 obtains a negative result in the determination at step SP17, it cancels the means candidate selected at step SP11 (SP16), and then proceeds to step SP20 for all means candidates extracted at step SP10. It is determined whether or not similar processing has been executed (SP20).

If the CPU 2 obtains a negative result in this determination, it returns to step SP11, and thereafter repeats the processing of step SP11 to step SP20 while sequentially changing the means candidate selected in step SP11 to another means candidate.

When the CPU 2 eventually obtains an affirmative result in step SP20 by completing the processing of steps SP11 to SP19 for all means candidates extracted in step SP10, it ends this means estimation process.

(2-5) Index Predicted Value Acquisition Process FIG. 11 shows specific processing contents of the index predicted value acquisition process executed by the CPU 2 in step SP6 of FIG.

When the CPU 2 proceeds to step SP6 in FIG. 2, it starts the index predicted value acquisition process, and first selects one means from the means stored in step SP19 of the means estimation process (SP30). For example, in the example of FIGS. 4 to 7, when there are three means stored in step SP5 of FIG. 2, “instruction mobilization”, “checklist introduction”, and “addition of confirmation work by confirmer”, The CPU 2 selects one of these means (for example, “instruction mobilization”).

Subsequently, the CPU 2 determines whether or not the number of cases adopting the means is 1 (SP31). When the CPU 2 obtains a positive result in this determination, it reads out the time series information (index time series information) of the index in the case from the index time series information database 24 (FIG. 1), and these are read over time as the index of the target business. Stored as a predicted value (SP36).

On the other hand, when the CPU 2 obtains a negative result in the determination at step SP31, it extracts the types and values of all resources of the target business based on the resource information of the target business, and adopts the means selected at step SP20. Based on the resource information of each corresponding case, the types and values of all resources for each case are extracted (SP32). For example, in the case of the examples in FIGS. 4 to 7, the resources of the target business are “cost”, “personal skill”, “equipment years”, “scale”, and “number of people”. Are extracted in this step SP22.

Subsequently, based on the resource evaluation determination program, the CPU 2 calculates resource evaluation values for each resource of the target business and each resource of each case, for example, as shown in FIGS. 12 to 16 (SP33). . Here, the resource evaluation value refers to a relative value among the value of the resource in the target business and the value of the resource in each corresponding case adopting the means selected in step SP30.

Specifically, the resource evaluation value is the resource maximum evaluation value (hereinafter referred to as “5”) having the largest value among these resources, and the resource minimum evaluation value (hereinafter referred to as “5”). "1"), whether the value of the resource corresponds to one of the values from the minimum resource evaluation value to the maximum resource evaluation value ("1" to "5") It is a numerical value calculated only from A specific method for calculating such a resource evaluation value will be described later. FIG. 12 to FIG. 16 show calculation examples of the resource evaluation values of the target business and corresponding cases for “cost”, “personal skill”, “equipment years”, “scale”, and “number of people” in order. .

Next, based on the case similarity determination program 14, the CPU 2 uses the resource evaluation value for each resource calculated in step SP33 to calculate the similarity S between the target job and each case as shown in FIG. (SP34). Specifically, the CPU 2 uses the following formula for each case:

To calculate the similarity S with the target business. In Equation (1), Rci represents the resource evaluation value of the i-th resource in the case, Rti represents the resource evaluation value of that resource in the target business, and N represents the total number of resources. H is the maximum evaluation value (here, “5”) of the resource.

Therefore, for example, in the examples of FIGS. 12 to 17, the resource evaluation values of “Case 1” regarding “Cost”, “Human skill”, “Equipment years”, “Scale” and “Number of people” are “4”, “3.5”, “5”, “5”, and “5”, and the resource evaluation values of the target business related to these resources are “2”, “4”, “2”, “3”, and “3”, respectively. Therefore, the similarity S of “Case 1” is given by

It is calculated as follows.

Note that if there is no resource related to the target business in any case and the resource evaluation value cannot be calculated in step SP33, the CPU 2 determines the minimum resource evaluation value (resource minimum evaluation value) in step SP34. ) To the maximum value of the resource evaluation value (maximum resource evaluation value), and the numerical value that maximizes the absolute value of the difference from the resource evaluation value of the resource in the target business is the resource evaluation value of the resource And the similarity S of the corresponding case is calculated.

Specifically, in step SP33 of FIG. 11, when the resource evaluation value of the resource “cost” of “example 1” cannot be calculated as shown in FIG. 18, for example, in this example, the resource minimum evaluation value is “1”, the resource Since the maximum evaluation value is “5”, the CPU 2 is a numerical value from “1” to “5”, and the absolute value of the difference from “2” that is the resource evaluation value of “cost” of “example 1” Assuming the numerical value (here, “5”) that becomes the maximum as the resource evaluation value of “Cost” of “Case 1”, the similarity S of “Case 1” is calculated.

Subsequently, the CPU 2 selects one case having the highest similarity S calculated in step SP34 (SP35), reads the index time-series information of the case from the index time-series information database 24, and reads them as the index of the target business. Is stored as a predicted value over time (SP36).

Thereafter, the CPU 2 determines whether or not the processing of step SP30 to step SP36 has been executed for all the means set in step SP19 of FIG. 10 (SP37). If the CPU 2 obtains a negative result in this determination, it returns to step SP30, and thereafter repeats the processing of step SP30 to step SP37.

When the CPU 2 eventually obtains an affirmative result at step SP37 by completing the processing of step SP30 to step SP36 for all the means set at step SP19 of FIG. 10, it ends this index predicted value acquisition processing.

(2-6) Resource Evaluation Value Calculation Process FIG. 19 shows a specific processing procedure of the resource evaluation value calculation process executed by the CPU 2 in step SP33 of the index predicted value acquisition process described above with reference to FIG. The CPU 2 calculates a resource evaluation value for each resource for the target business and each case according to the processing procedure shown in FIG.

That is, when the CPU 2 proceeds to step SP33 of the predicted index value acquisition process, it starts the resource evaluation value calculation process shown in FIG. 19, and first resets the value of the variable M (sets to “0”) (SP41).

Subsequently, the CPU 2 increments the value of the variable M (increases by “1”) (SP40), and thereafter, the Mth of all resources extracted in step SP32 of the index predicted value acquisition process (FIG. 11). It is determined whether or not the resource data type is one (SP42).

Here, for example, in the case of the examples of FIGS. 12 to 16, as shown in FIGS. 12 and 16, since there is only one type of data for the resources “cost” and “number of people”, the processing of step SP42 A positive result is obtained in the determination. Thus, at this time, the CPU 2 calculates the resource evaluation value Re of the target resource at that time for each of the target business and each case by the following formula (SP44).

In this equation (3), Y indicates the value of the resource to be evaluated. Ymin and Ymax respectively indicate the maximum value and the minimum value of the target business and the value of the target resource at that time in each case. Furthermore, RVmax is a predetermined value as the maximum value of the resource evaluation value, and is “5” here.

Accordingly, in the case of the example of FIG. 12, the resource evaluation value Rc of the resource “cost” of the target business is calculated as follows.

On the other hand, for the resource “human skill”, as shown in FIG. 13, there are four types of resource data “level 4” to “level 1”. In addition, as shown in FIG. 14, the resource of “equipment operating years” has “0-5 years”, “6-10 years”, “11-15 years”, “16-20 years” as resource types. , “20-25 years”, “25-30 years” and “more than 30 years” exist. Furthermore, as for the resource of “equipment scale”, as shown in FIG. 15, there are data of “rotary equipment” and “stationary equipment” as equipment of the “machine” system, and “receiving and transforming power” as equipment of the “electricity” system. There are data of “equipment” and “electronic control equipment”, and also data of equipment such as “building”. Of these, the targets in the examples of FIGS. 4 to 7 are the “substation equipment” and “electronic control equipment” of the electric system (see FIG. 4), but there are also two types of data. Therefore, a negative result is obtained in the determination of step SP42 for the resources such as “personal skill”, “equipment operating years”, and “equipment scale”.

Thus, at this time, the CPU 2 first calculates

Thus, for the resource that is the target at that time, a comprehensive index CI that combines a plurality of types of data into one is calculated (SP43).

In this equation (5), Xk represents the value of the kth data in the target resource at that time, and Ak represents the value of a coefficient set in advance for the type of the data. In equation (5), n represents the number of data types of the resource.

Thus, for example, in the case of the example of FIG. 13, the overall index CI of the resource “human skill” in the target business is 4 for the coefficient A1 for “level 4”, 3 for the coefficient A2 for “level 3”, and “level 2” The coefficient A3 is 2 and the coefficient A4 for “level 1” is 1, and the following equation

It is calculated as follows.

Next, based on the total index CI calculated in step SP, the CPU 2 sets the maximum value and the minimum value of the target index and the total index CI of the target resource in each case as Ymin and Ymax (3 ) To calculate the resource evaluation value Rc of the resource in the target business and individual cases (SP44).

Thereafter, the CPU 2 determines whether or not the current value of the variable M matches the number of resources in the target business (SP45). If the CPU 2 obtains a negative result in this determination, it returns to step SP41, and thereafter repeats the processing of step SP41 to step SP45.

When the CPU 2 eventually obtains an affirmative result in step SP45 by completing the execution of steps SP41 to SP44 for all resources, it ends this resource evaluation value calculation processing.

FIG. 20 shows an example of a radar chart in which the resource evaluation value of each resource of the target business calculated as described above and the resource evaluation value of each resource of the corresponding case are plotted.

(3) Effects of this Embodiment As described above, according to the information processing apparatus 1 of this embodiment, not only means for achieving the target set for the target business, but also that means is adopted for the target business. In order to provide the user with a change in the index (KPI and PI) over time as a predicted value, the user changes the index over time when the means is adopted based on the predicted value. Can be recognized. Thus, it is possible to realize an information processing apparatus capable of setting and improving the most effective business process in consideration of the time passage of the effect.

(4) Other Embodiments In the above-described embodiment, the business process design function of the information processing apparatus 1 includes the business information, resource information, current index, current business process, and past cases of the target business. Based on the above, the means for achieving the target set by the user for the target business is estimated, and the predicted value of the index when the means is executed is obtained from the case and presented to the user As described above, the present invention is not limited to this, and the business process design function may be used to design a business process for the first time. The processing content of the information processing apparatus in this case is as follows.

That is, the information processing apparatus 1 designs a business process from now on by displaying the business information input screen 30 described above with reference to FIG. 4 on the display device 6 (FIG. 1) in step SP1 of the business process design process described with reference to FIG. While prompting the user to input resource information for the business content and target equipment of the target business to be attempted, in step SP2 of the business process design process, the target business is displayed on the resource information input screen 40 described above with reference to FIG. Prompt the user to enter resource information about the company resources to execute.

The information processing apparatus 1 prompts the user to input the target and index (KPI) by displaying the target / index input screen 50 described above with reference to FIG. 6 on the display device 6 in step SP3 of the business process design process. . In this step SP3, for example, the index numerical value input field 53 is displayed in an invalid manner, and the input of the numerical value (index numerical value) of the target business is omitted. Further, in step SP5 of the business process design process, the information processing apparatus 1 on the business process input screen 60 described above with reference to FIG. 7 shows a flow of the business process of the target business considered by the user at that time in FIG. Prompt the user for input.

In step SP5 and step SP6 of the business process design process, the information processing apparatus 1 is based on the business information, resource information, target, index (KPI), and business process information of the target business input in steps SP1 to SP4. Thus, the means for achieving the target and the predicted values of the indices (KPI and PI) are estimated and displayed on the predicted index value display screen 70 of FIG. 8 in step SP7.

Note that the contents of the business process design process according to the present embodiment are the same as those of the first embodiment described above, except that the input of the index numerical value is not accepted on the target / index input screen 50 in step SP3.

In the above-described embodiment, in the resource evaluation value calculation process described above with reference to FIG. 19, the resource maximum evaluation value when calculating the resource evaluation value is set to “5”, and the resource minimum evaluation value is set to “1”. However, the present invention is not limited to this, and the resource maximum evaluation value and the resource minimum evaluation value may be other values. Furthermore, according to the importance of the resource, one or both of the resource maximum evaluation value and the resource minimum evaluation value when calculating the resource evaluation value is set to a different value for each resource or for some resources. May be.

Further, in the above-described embodiment, the case where the business information input screen 30, the resource information input screen 40, the target / index input screen 50, and the business process input screen 60 are set as separate screens has been described. The invention is not limited to this, and some or all of these may be combined into one screen.

Further, in the above-described embodiment, the case where the present invention is applied to the stand-alone type information processing apparatus 1 has been described. However, the present invention is not limited thereto, and is stored in, for example, the disk device 4 (FIG. 1). The various databases may be stored on a storage device different from the information processing device 1, and the storage device may be shared by a plurality of information processing devices 1.

Furthermore, in the above-described embodiment, a pull-down in which the business contents already registered in the case database 20 are displayed on the business information input screen 30 (FIG. 4), the target / index input screen 50 (FIG. 6), etc. Although the case where the business content of the target business, the target equipment, the target, and the like are selected from the menu has been described, the present invention is not limited to this, and the case where the business content of the target business does not exist in the case database 20 The user may be able to input the business content of the target business using the input device 5 (FIG. 1).

The present invention can be widely applied to information processing apparatuses and systems having various configurations for designing business processes.

1 ... Information processing device, 2 ... CPU, 3 ... Memory, 4 ... Disk device, 6 ... Display device, 10 ... Business process design program, 11 ... Business process similarity determination program, 12 ... Means estimation program, 13... Resource evaluation judgment program, 14... Case similarity judgment program, 15... Index predicted value estimation program, 20... Case database, 21 .. business process similarity model database, 22. Information database, 23 …… Resource evaluation value model database, 24 …… Index time series information database, 30 …… Business information input screen, 40 …… Resource information input screen, 50 …… Target / index input screen, 60 …… Business Process input screen, 70. Indicator predicted value display screen.

Claims

Information that represents the business contents of the target business, the equipment related to the business, the resources that are the resources of the organization that executes the business, the goals for the business, and the business processes that are the processing procedures of the business An information collection unit that collects
The task-related information for each past case and index time-series information composed of time-series numerical values of indicators indicating the degree of achievement of the target for the task in the case after changing the business process in the case are sequentially stored. A storage unit;
Means estimating means for estimating means for achieving the target of the target business based on the business related information of the target business and the business related information and index time series information of the case; ,
A predicted value estimation unit that estimates a predicted value of the index when the means estimated by the means estimating means is employed in a business process of the target business, based on index time-series information of the case;
An information processing apparatus comprising: the means estimated by the means estimation unit; and a display unit that displays the prediction value estimated by the prediction value estimation unit.
The means estimation unit
The means employed in the case detected by searching for a case where the target business and the business content and the target are the same, and the equipment and the business process are the same or similar from the case, and detected by the search As the means for achieving the target of the target business,
The predicted value estimation unit
Estimating the time-series index value constituting the index time-series information of the case as a predicted value of the index when the means is employed in the business process of the target business, The information processing apparatus according to claim 1.
The predicted value estimation unit
There are a plurality of cases where the means estimated by the means estimation unit is adopted, and there are a plurality of cases where the target business, the business content and the target are the same, and the equipment and the business process are the same or similar. Select the case with the highest degree of similarity to the target business,
Estimating the time-series index value constituting the index time-series information of the selected case as a predicted value of the index when the means is adopted in the business process of the target business. The information processing apparatus according to claim 2.
An example of calculating the evaluation value for each resource of the target business and employing the means estimated by the means estimation unit, wherein the target business, the business content, and the target are the same. And, for each case where the equipment and the business process are the same or similar, a resource evaluation value determination unit that calculates an evaluation value for each resource of the case, and
The evaluation value for each resource of the target business calculated by the resource evaluation value determination unit and the evaluation value for each resource of each corresponding case calculated by the resource evaluation value determination unit Based on a case similarity determination unit that calculates the similarity for each case with respect to the target business,
The predicted value estimation unit
The information processing apparatus according to claim 3, wherein the case with the highest similarity calculated by the case similarity determination unit is selected.
The case similarity determination unit
A case in which the means estimated by the means estimation unit is adopted, and the target business, the business content and the target are the same, and the equipment and the business process are the same or similar. When the information related to the resource of a part is missing, the numerical value that maximizes the absolute value of the difference from the resource evaluation value of the resource in the target business among the numerical values predetermined as the range of the resource evaluation value The information processing apparatus according to claim 4, wherein the similarity of the case to the target business is calculated on the assumption that the resource evaluation value of the resource is.
The information processing apparatus according to claim 4, wherein a maximum value and a minimum value of the resource evaluation value of each resource are set according to the importance for each resource.
Information that represents the business contents of the target business, the equipment related to the business, the resources that are the resources of the organization that executes the business, the goals for the business, and the business processes that are the processing procedures of the business A first step of collecting the information as business related information of the business,
The business-related information of the target business, the business-related information for each past case stored in advance, and the degree of achievement of the target for the business of the case after changing the business process in the case A second step of estimating means for achieving the target of the target business based on index time-series information consisting of time-series numerical values of the index shown;
A third step of estimating a predicted value of the index when the estimated means is employed in the business process of the target business based on index time-series information of the case;
A fourth step of displaying the estimated means and the predicted value. An information processing method comprising:
In the second step,
The means employed in the case detected by searching for a case where the target business and the business content and the target are the same, and the equipment and the business process are the same or similar from the case, and detected by the search As the means for achieving the target of the target business,
In the third step,
Estimating the time-series index value constituting the index time-series information of the case as a predicted value of the index when the means is employed in the business process of the target business, The information processing method according to claim 7.
In the third step,
In the case of adopting the estimated means, and when there are a plurality of cases where the target business and the business content and the target are the same, and the equipment and the business process are the same or similar, Select the case that has the highest degree of similarity with the target job,
Estimating the time-series index value constituting the index time-series information of the selected case as a predicted value of the index when the means is adopted in the business process of the target business. The information processing method according to claim 8, wherein:
In the third step,
The evaluation value for each resource of the target business is calculated and the estimated means is adopted, and the target business and the business content and the target are the same, and the facility and the target For each case where the business process is the same or similar, calculate the evaluation value for each resource of the case,
Based on the evaluation value for each resource of the target business and the evaluation value for each resource of each corresponding case, the similarity for each case with respect to the target business is calculated,
The information processing method according to claim 9, wherein the case having the highest similarity is selected.
In the third step,
Information about a part of the resource in the case of adopting the estimated means, in which the target business, the business content and the target are the same, and the equipment and the business process are the same or similar. Is missing, a numerical value that has the largest absolute value of the difference from the resource evaluation value of the resource in the target business among the numerical values predetermined as the range of the resource evaluation value is the resource evaluation of the resource The information processing method according to claim 10, wherein a similarity degree of the case with respect to the target business is calculated assuming a value.
The information processing method according to claim 10, wherein a maximum value and a minimum value of the resource evaluation value of each resource are set according to the importance for each resource.