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Training Plan Drafting Device And Training Plan Drafting Program

Abstract: A complementary unit (120) determines, based on an experience value of each experience holder who has experience in a training subject operation, a substitute value for a complementation object person to be used in place of an experience value of the complementation object person who does not have experience in the training subject operation. A planning unit (130) determines, based on the experience value of each experience holder and the substitute value of the complementation object person, one or more training target people from among each experience holder and the complementation object person. [Figure 1]

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Patent Information

Application #
Filing Date
29 October 2019
Publication Number
45/2019
Publication Type
INA
Invention Field
ELECTRICAL
Status
Email
patent@depenning.com
Parent Application
Patent Number
Legal Status
Grant Date
2023-09-06
Renewal Date

Applicants

MITSUBISHI ELECTRIC CORPORATION
7-3, Marunouchi 2-chome, Chiyoda-ku, Tokyo 100-8310

Inventors

1. MASUDA, Keisuke
c/o Mitsubishi Electric Corporation, 7-3, Marunouchi 2-chome, Chiyoda-ku, Tokyo 100-8310

Specification

Title of Invention: TRAINING PLAN DRAFTING DEVICE AND TRAINING PLAN DRAFTING PROGRAM Technical Field
The present invention relates to a technique to draft a training plan. Background Art
When there is a demand for workers in a production line of a factory, a manager drafts a training plan (object person, time period, contents) for each worker. At the time, the manager considers how learning level of each object person change. The learning level is considered to change in accordance with the experience of the object person. The change in learning level means improvement in operation efficiency.
Patent Literature 1 and Patent Literature 2 disclose techniques as follows.
First, a learning level is calculated based on the number of products processed by an object person, and a period of time the object person has spent in operations. Next, a learning level in the future and necessary operation time are estimated based on change in the learning level. Then, a training plan to maximize the educational effect is drafted. Citation List Patent Literature
Patent Literature 1: JP 2012-033127 A
Patent Literature 2: WO2009-063540 A Summary of Invention Technical Problem

[0005] The techniques disclosed in Patent Literature 1 and Patent Literature 2 presuppose that each object person has experience in an operation as a subject for training. However, all object people do not necessarily have experience in the operation as the training subject. Additionally, by the techniques disclosed in Patent Literature 1 and Patent Literature 2, it is impossible to estimate the learning level in the future and the necessary operation time for object people without experience in the training subject operation. Therefore, it is impossible to draft a training plan to maximize the educational effect.
Such problems are prominent in drafting of a training plan for a production line with a large number of steps to produce a large number of products, and in drafting of a plan for training of multi-skilled workers.
[0006] The present invention is aimed at making it possible to select a training target person from among training candidates including a person without experience in an operation.
Solution to Problem [0007] A training plan drafting device according to the present invention includes:
a complementary unit to determine, based on an experience value of each experience holder who has experience in a training subject operation, a substitute value for a complementation object person to be used in place of an experience value of the complementation object person who does not have experience in the training subject operation, and
a planning unit to determine, based on the experience value of the each experience holder, and the substitute value for the complementation object person, one or more training target people from among the each experience holder and the complementation object person.

Advantageous Effects of Invention
[0008] According to a present invention, it is possible to select a training target person from among training candidates inchiding a person without experience in an operation. Brief Description of Drawings
[0009] Fig. 1 is a configuration diagram of a training plan drafting device 100 according to a first embodiment;
Fig. 2 is a flowchart of a training plan drafting method according to the first embodiment;
Fig. 3 is a flowchart of an operation determination process (Sl 10) according to the first embodiment;
Fig. 4 is a flowchart of a complementary process (Sl20) according to the first embodiment;
Fig. 5 is a configuration diagram of experience data 200 according to the first embodiment;
Fig. 6 is a flowchart of a planning process (Sl30) according to the first embodiment;
Fig. 7 is a flowchart of a training plan drafting method according to a second embodiment;
Fig. 8 is a flowchart of a complementary process (S220) according to the second embodiment;
Fig. 9 is a flowchart of a correlation degree calculation process (S240) according to the second embodiment;
Fig. 10 is a flowchart of a training plan drafting method according to a third embodiment;
Fig. 11 is a flowchart of a complementary process (S320) according to the third

embodiment; and
Fig. 12 is a diagram of a hardware configuration of the training plan drafting device 100 according to the embodiments. Description of Embodiments
[0010] In the explanation of embodiments and diagrams, same elements and corresponding elements are denoted by same signs. The explanation of the elements denoted by the same signs is appropriately omitted or simplified. Arrows in the diagrams mainly denote flows of data or flows of processes. [0011 ] First Embodiment
An explanation is provided of an embodiment wherein a training target person is selected from among training candidates including a person without experience in an operation based on Fig. 1 through Fig. 6. [0012] * * *Explanation of Configuration* * *
The configuration of the training plan drafting device 100 will be described based on Fig. 1.
The training plan drafting device 100 is a computer equipped with hardware components such as a processor 901, a memory 902, an auxiliary storage device 903 and an input and output interface 904. These hardware components are connected with one another via a signal line.
[0013] The processor 901 is an integrated circuit (IC) to perform arithmetic processing, to control other hardware components. For example, the processor 901 is a central processing unit (CPU), a digital signal processor (DSP) or a graphics processing unit (GPU).
The memory 902 is a volatile storage device. The memory 902 is also called a main storage device or a main memory. For example, the memory 902 is a random

access memory (RAM). The data stored in the memory 902 is stored in the auxiliary storage device 903 as needed.
The auxiliary storage device 903 is a non-volatile storage device. For example, the auxiliary storage device 903 is a read only memory (ROM), a hard disk drive (HDD) or a flash memory. The data stored in the auxiliary storage device 903 is loaded into the memory 902 as needed.
The input and output interface 904 is a port whereto an input device and an output device are connected. For example, the input and output interface 904 is a USB terminal, while the input device is a keyboard and a mouse, and the output device is a display. USB is an abbreviation for "universal serial bus."
[0014] The training plan drafting device 100 includes software elements such as an operation determination unit 110, a complementary unit 120 and a planning unit 130. The software elements are elements realized by software.
[0015] The auxiliary storage device 903 stores a training plan drafting program for causing a computer to function as the operation determination unit 110, the complementary unit 120 and the planning unit 130. The training plan drafting program is loaded into the memory 902 and executed by the processor 901.
Further, an operating system (OS) is stored in the auxiliary storage device 903. At least a part of the OS is loaded into the memory 902, and executed by the processor 901.
That is, the processor 901 executes the training plan drafting program while executing OS.
The data obtained by executing the training plan drafting program is stored in storage devices such as the memory 902, the auxiliary storage device 903, a register inside the processor 901 or a cache memory inside the processor 901.

[0016] The auxiliary storage device 903 functions as a storage unit 191 to store data. However, another storage device may function as the storage unit 191 instead of the auxiliary storage device 903, or together with the auxiliary storage device 903.
The input and output interface 904 functions as a reception unit 192 to accept input of data. Further, the input and output interface 904 functions as an output unit 193 to output data.
[0017] The training plan drafting device 100 may be equipped with a plurality of processors replacing the processor 901. The plurality of processors share roles of the processor 901.
[0018] It is possible to store the training plan drafting program in a computer-readable manner, in a non-volatile storage medium, such as a magnetic disk, an optical disk or a flash memory, etc. [0019] ***Explanation of Operation***
The operation of the training plan drafting device 100 corresponds to a training plan drafting method. Further, procedures of the training plan drafting method correspond to procedures of a training plan drafting program. [0020] The training plan drafting method will be described based on Fig. 2.
In a step Sl 10, the operation determination unit 110 determines a training subject operation.
The training subject operation is an operation which requires training for workers.
[0021] In a step Sl20, the complementary unit 120 determines a substitute value of a complementation object person to be used in place of an experience value of the complementation object person based on an actual result value of each experience holder.

The experience holder is a worker having experience in the training subject operation.
The complementation object person is a worker without experience in the training subject operation.
The experience value is a value denoting experience in an operation. [0022] In a step S130, the planning unit 130 determines one or more training target people from among each of experience holders and a complementation object person based on the an experience value of each experience holder and the substitute value of the complementation object person.
The training target people are workers to be trained for the training subject operation. [0023] The operation determination process (Sl 10) will be described based on Fig. 3.
The operation determination process (Sl 10) is a general process that has been conventionally performed. The process described based on Fig. 3 is one example of the operation determination process (Sl 10).
[0024] In the step S111, a user inputs manufacturing information in the training plan drafting device 100.
Then, the reception unit 192 accepts the manufacturing information input, and the storage unit 191 stores the manufacturing information accepted.
The manufacturing information includes manufacturing process information, production load information, productive ability information and production planning information, etc.
The manufacturing process information indicates each operation composing the manufacturing process.
The production load information is information necessary for estimating

production loads of each operation.
The productive ability information is information necessary for estimating productive abilities of each worker in each operation.
The production planning information indicates a production plan. [0025] In a step Sl 12, the operation determination unit 110 estimates current production loads of each operation based on the production load information. Further, the operation determination unit 110 estimates production loads of each operation in the future.
Specifically, the operation determination unit 110 estimates necessary operation time to achieve the production planning for each operation for the next several months. [0026] In a step Sl 13, the operation determination unit 110 estimates productive abilities of each worker for each operation based on the productive ability information.
Specifically, the operation determination unit 110 estimates operation times of each worker for each operation on a monthly basis based on learning levels of each worker and working hours of each worker in a month.
[0027] In a step Sl 14, the operation determination unit 110 determines a training subject operation based on production loads of each operation and productive abilities of each worker for each operation.
Specifically, the operation determination unit 110 compares a production load with a productive ability, for each operation, and selects an operation for which the productive ability is short against the production load. The operation selected is the training subject operation. [0028] A complementary process (S120) will be described based on Fig. 4.
In a step S121, the complementary unit 120 selects one unselected training candidate.

Specifically, a candidate list is stored beforehand in the storage unit 191. The candidate list is a list of training candidates. The training candidates are workers who are candidates of training target.
The complementary unit 120 selects one unselected training candidate from the candidate list.
In processes from a step Sl22 through a step S124, the training candidate selected in the step S121 is called "selected candidate."
[0029] In the step Sl22, the complementary unit 120 judges whether the selected candidate is an experience holder or a complementation object person. That is, the complementary unit 120 judges whether the selected candidate has experience in the training subject operation.
Specifically, experience data 200 is stored beforehand in the storage unit 191. The experience data 200 is data indicating an experience value of each worker for each operation. Then, the complementary unit 120 makes judgment by using the experience data 200. [0030] The experience data 200 will be described based on Fig. 5.
The experience data 200 includes each field of "operation," "worker" and "experience value."
The field of "operation" indicates operation identifiers. The operation identifiers identify operations.
The field of "worker" indicates worker identifiers. The worker identifiers identify workers.
The field of "experience value" indicates experience values. [0031] To return to Fig. 4, the explanation of the step Sl 22 is continued.
The experience data 200 includes experience values of experience holders,

whereas the experience data 200 does not include an experience value of a complementation object person.
The complementary unit 120 acquires worker identifiers associated with operation identifiers of the training subject operation from the experience data 200. Then, the complementary unit 120 judges whether a worker identifier of the selected candidate is included in the operation identifiers acquired. When the worker identifier of the selected candidate is included in the operation identifiers acquired, the selected candidate is the experience holder.
[0032] When the selected candidate is the experience holder, the procedure proceeds to astep S125.
When the selected candidate is the complementation object person, the procedure proceeds to the step Sl23.
[0033] In the step S123, the complementary unit 120 calculates an experience mean value of the training subject operation.
The experience mean value of the training subject operation is a mean value of experience values of experience holders for the training subject operation.
Specifically, the complementary unit 120 acquires an experience value of each experience holder for the training subject operation from the experience data 200. Then, the complementary unit 120 calculates a mean value of the experience values acquired. The value calculated is the experience mean value of the training subject operation.
[0034] In the step Sl24, the complementary unit 120 registers the experience mean value of the training subject operation in substitute data as a substitute value of the selected candidate.
The substitute data is data denoting a substitute value of each complementation

object person for the training subject operation, which is stored in the storage unit 191. [0035] In the step S125, the complementary unit 120 judges whether an unselected candidate exists.
The unselected candidate is a training candidate who is not selected in the step S121, i.e., an unselected training candidate.
When the unselected candidate exists, the procedure proceeds to the step S121.
When the unselected candidate does not exist, the complementary process (Sl20) is completed.
[0036] Note that when an experience holder of the training subject operation does not exist, it is impossible to determine a substitute value for a complementation object person. That is, it is impossible to complement an experience value of the complementation object person. [0037] A planning process (Sl30) will be described based on Fig. 6.
The planning process (Sl30) is a general process that has conventionally been performed. The process described based on Fig. 3 is one example of the planning process (Sl30). [0038] In a step S131, the planning unit 130 determines the number of object people.
The number of object people is the number of training target people.
Specifically, the planning unit 130 calculates deficit quantity of productive ability to the production load with respect to the training subject operation. The production load of the training subject operation is calculated in the step Sl 12 (refer to Fig. 3). The productive ability of the training subject operation is calculated in the step Sl 13 (refer to Fig. 3). Then, the planning unit 130 determines the number of object people based on the deficit quantity calculated. The larger the deficit quantity is, the larger the number of object people is. Further, the planning unit 130 may determine

the number of object people based on the number of instructors. The number of instructors is the number of instructors to pro vide education about the training subject operation. The larger the number of instructors is, the larger the number of object people is. [0039] In a step S132, the planning unit 130 selects one unselected training candidate.
Specifically, the planning unit 130 selects one unselected training candidate from the candidate list as with the step S121 (refer to Fig. 4).
In a step Sl33, the training candidate selected in the step Sl32 is called a selected candidate.
[0040] In a step S133, the planning unit 130 calculates an effect value of the selected candidate.
The effect value is a value denoting an effect obtained by training. For example, the effect value denotes a difference between a training time period offered and an operation time to be shortened. [0041] Specifically, the planning unit 130 operates as follows.
First, the planning unit 130 judges whether an experience value of the selected candidate for the training subject operation is included in the experience data 200.
When the experience value of the selected candidate for the training subject operation is included in the experience data 200, the planning unit 130 acquires the experience value of the selected candidate for the training subject operation from the experience data 200. Then, the planning unit 130 calculates the effect value of the selected candidate by using the experience value acquired. For example, the planning unit 130 acquires an effect value corresponding to the experience value from a learning curve. The learning curve is a curve indicating a relation between experience values and effect values.

When the experience value of the selected candidate for the training subject operation is not included in the experience data 200, the planning unit 130 acquires a substitute value of the selected candidate for the training subject operation from the substitute data (refer to the step Sl24 in Fig. 4). Then, the planning unit 130 calculates the effect value of the selected candidate by using the substitute value acquired. For example, the planning unit 130 acquires an effect value corresponding to the experience value with the same value as the substitute value, from the learning curve. The learning curve is a curve indicating a relation between experience values and effect values. [0042] In a step Sl34, the planning unit 130 judges whether an unselected candidate exists.
The unselected candidate is a training candidate who is not selected in the step Sl32, i.e., an unselected training candidate.
When there is an unselected candidate, the procedure proceeds to the step S132.
When there is not an unselected candidate, the procedure proceeds to a step S135.
[0043] In the step S135, the planning unit 130 selects training candidates whose number is the same as the number of the object people in descending order of effect values.
The training candidates selected are training target people. [0044] ***Effect of First Embodiment***
The training plan drafting device 100 stores an experience value of a training candidate without experience in a training subject operation. That is, the training plan drafting device 100 calculates a substitute value for a complementation object person.
Therefore, it is possible for the training plan drafting device 100 to estimate

elevation degrees (effect values) of a learning level with respect to a training time period for all training candidates including a training candidate without experience in the training subject operation. Then, it is possible for the training plan drafting device 100 to judge a training candidate (training target person) for whom training is highly effective.
That is, it is possible for the training plan drafting device 100 to make an effective training plan even when there is a training candidate without experience in the training subject operation. [0045] Second Embodiment
With respect to an embodiment wherein an experience value of an experience holder having the highest correlation with a complementation object person is used as a substitute value of the complementation object person, parts mainly different from the first embodiment will be described based on Fig. 7 through Fig. 9. [0046] * * *Explanation of Configuration* * *
The configuration of the training plan drafting device 100 is the same as the configuration in the first embodiment (refer to Fig. 1). [0047] * * *Explanation of Operation* * *
Based on Fig. 7, a training plan drafting method will be described.
In a step S210, the operation determination unit 110 determines a training subject operation. A determination method is the same as the method in the operation determination process (Sl 10) of the first embodiment.
[0048] In a step S220, the complementary unit 120 selects a part of experience holders, and determines a substitute value for a complementation object person based on each experience value of the part of experience holders. [0049] Specifically, the complementary unit 120 selects a part of the experience

holders based on an experience value of each experience holder for an out-of-subject operation, and an experience value of a complementation object person for the out-of-subject operation.
The out-of-subject operation is an operation other than a training subject operation.
[0050] More specifically, the complementary unit 120 calculates degrees of correlation of each experience holder to the complementation object person by using the experience value of each experience holder for the out-of-subject operation, and the experience value of the complementation object person for the out-of-subject operation. Then, the complementary unit 120 selects a part of experience holders based on the degrees of correlation of each experience holder to the complementation object person.
Especially, the complementary unit 120 selects an experience holder with the highest correlation degree to the complementation object person, as a part of experience holders. Then, the complementary unit 120 selects as a substitute value for the complementation object person an experience value for the training subject operation from among experience values of the experience holder selected. [0051] A complementary process (S220) will be described below in detail. [0052] In a step S230, the planning unit 130 determines a training target person based on the experience value of each training target person or a complementary value. The determination method is the same as the method in the planning process (Sl30) of the first embodiment. [0053] The complementary process (S220) will be described based on Fig. 8.
A step S221, a step S222 and a step S225 are the same as the step S121, the step Sl22 and the step S125 in the first embodiment (refer to Fig. 4). [0054] In a step S240, the complementary unit 120 calculates degrees of correlation of

each experience holder to a selected candidate (complementation object person). The calculation method will be described below.
[0055] In a step S223, the complementary unit 120 selects a correlated person from among the experience holders.
The correlated person is an experience holder with the highest degree of correlation to the selected candidate.
[0056] In a step S224, the complementary unit 120 selects an experience value for the training subject operation from among experience values of the correlated person, from the experience data 200.
Then, the complementary unit 120 registers in the substitute data the selected experience value as a substitute value of the selected candidate.
[0057] A correlation degree calculation process (S240) will be described based on Fig. 9.
In a step S241, the complementary unit 120 selects one unselected experience holder.
In processes from a step S242 through a step S246, the experience holder selected in the step S241 is called a selected holder.
[0058] In the step S242, the complementary unit 120 selects one unselected out-of-subject operation.
In the step S243 and the step S244, the out-of-subject operation selected in the step S242 is called a selected operation.
[0059] In the step 243, the complementary unit 120 judges whether both of the selected candidate and the selected holder have experience in the selected operation.
Specifically, the complementary unit 120 judges whether both of an experience value of the selected candidate for the selected operation and an experience value of the

selected holder for the selected operation are included in the experience data 200. When both of the experience value of the selected candidate for the selected operation and the experience value of the selected holder for the selected operation are included in the experience data 200, both of the selected candidate and the selected holder have experience in the selected operation.
When both of the selected candidate and the selected holder have experience in the selected operation, the procedure proceeds to the step S244.
When at least one of the selected candidate and the selected holder does not have experience in the selected operation, the procedure proceeds to the step 245. [0060] In the step S244, the complementary unit 120 calculates a correlation coefficient of the selected holder with respect to the selected candidate.
Specifically, the complementary unit 120 operates as follows.
First, the complementary unit 120 acquires the experience value of the selected candidate for the selected operation and the experience value of the selected holder for the selected operation from the experience data 200.
Then, the complementary unit 120 calculates a correlation coefficient of the selected holder with respect to the selected candidate by using the experience value of the selected candidate for the selected operation and the experience value of the selected holder with respect to the selected operation. For example, the complementary unit 120 calculates a difference between two experience values. The difference calculated is the correlation coefficient.
[0061] In the step S245, the complementary unit 120 judges whether there is an unselected operation.
The unselected operation is an out-of-subject operation that is not selected in the step S242, i.e., an unselected out-of-subject operation.

When there is an unselected operation, the procedure proceeds to the step S242.
When there is not an unselected operation, the procedure proceeds to the step S246.
[0062] In the step S246, the complementary unit 120 calculates a degree of correlation of the selected holder with respect to the selected candidate.
Specifically, the complementary unit 120 calculates a mean value of correlation coefficients of the selected holder with respect to the selected candidate. The mean value calculated is a degree of correlation of the selected holder with respect to the selected candidate.
[0063] In a step S247, the complementary unit 120 judges whether there is an unselected holder.
The unselected holder is an experience holder who is not selected in the step S241, i.e., an unselected experience holder.
When there is an unselected holder, the procedure proceeds to the step S241.
When there is not an unselected holder, the procedure proceeds to a step S248. [0064] In the step S248, the complementary unit 120 selects a correlated person from experience holders.
Specifically, the complementary unit 120 selects an experience holder with the highest degree of correlation to the selected candidate. The experience holder selected is the correlated person. [0065] ***Effect of Second Embodiment***
Whether a person is good at or poor at an operation depends on the person. Therefore, when an experience value of a complementation object person is complemented based on an experience value of an experience holder who se strong and weak points largely differ from those of the complementation object person, there is a

possibility that a suitable training target person cannot be selected. Especially, in a manufacturing industry in Japan where complicated operations are performed, there is a possibility that a suitable training target person cannot be selected.
Therefore, the training plan drafting device 100 complements an experience value of the complementation object person by using an experience value of an experience holder with the highest degree of correlation to the complementation object person. Accordingly, it becomes possible to select a more suitable training target person. [0066] Third Embodiment
With respect to an embodiment wherein an experience mean value of an experience holder correlating with a complementation object person is used as a substitute value for the complementation object person, an explanation will be provided mainly of points that differ from those of the first embodiment and the second embodiment based on Fig. 10 and Fig. 11,. [0067] ***Explanation of Configuration***
A configuration of the training plan drafting device 100 is the same as that in the first embodiment (refer to Fig. 1). [0068] ***Explanation of Operation***
Based on Fig. 10, a training plan drafting method will be described.
In a step S310, the operation determination unit 110 determines a training subject operation. A determination method is the same as the method in the operation determination process (Sl 10) in the first embodiment.
[0069] In a step S320, the complementary unit 120 selects a part of experience holders, and determines a substitute value for the complementation object person based on each of experience values of the part of experience holders.

[0070] Specifically, the complementary unit 120 selects a part of experience holders based on an experience value of each experience holder for an out-of-subject operation, and an experience value of a complementation object person for the out-of-subject operation.
The out-of-subject operation is an operation other than a training subject operation.
[0071] More specifically, the complementary unit 120 calculates a degree of correlation of each experience holder to a complementation object person by using an experience value of each experience holder for the out-of-subject operation and an experience value of a complementation object person for the out-of-subject operation. Then, the complementary unit 120 selects a part of experience holders based on the degree of correlation of each experience holder to the complementation object person.
Especially, the complementary unit 120 selects experience holders whose degrees of correlation to the complementation object person satisfy a correlation condition, as a part of experience holders. Then, the complementary unit 120 calculates a mean value of experience values of the part of experience holders for the training subject operation, as a substitute value of a complementation object person. [0072] A complementary process (S320) will be described below in detail. [0073] In a step S330, the planning unit 130 determines a training target person based on the experience value of each training target person or a complementary value. The determination method is the same as the method in the planning process (Sl30) of the first embodiment. [0074] Based on Fig. 11, the complementary process (S320) will be described.
A step S321 and a step S322 are the same as the step S121 and the step Sl22 in the first embodiment (refer to Fig. 4).

A step S327 is the same as the step S125 in the first embodiment (refer to Fig.
4).
[0075] In a step S323, the complementary unit 120 calculates the degree of correlation
of each experience holder to a selected candidate (complementation object person).
The calculation method is the same as the method in the step S240 (refer to Fig. 9) of
the second embodiment.
[0076] In a step S324, the complementary unit 120 selects a part of experience holders
as a group of correlated people.
The group of correlated people is one or more correlated people. The correlated people are experience holders whose degrees of correlation to the selected candidate satisfy a correlation condition.
Specifically, the correlation condition is a condition of being equal to or more than a correlation threshold value. For example, 0.7 is used as a correlation threshold value in a case wherein the degree of correlation is within a range of-1 to 1.
That is, the complementary unit 120 selects one or more experience holders whose degrees of correlation are equal to or more than the correlation threshold value. The one or more experience holders selected are the group of correlated people. [0077] In a step S325, the complementary unit 120 calculates an experience mean value of the training subject operation.
The experience mean value of the training subject operation is a mean value of experience values of the group of correlated people for the training subject operation.
Specifically, the complementary unit 120 acquires experience value of each correlated person for the training subject operation from the experience data 200. Then, the complementary unit 120 calculates the mean value of the experience values acquired. The value calculated is the experience mean value of the training subject

operation.
[0078] In a step S326, the complementary unit 120 registers in substitute data the
experience mean value of the training subject operation as a substitute value of a
selected candidate.
[0079] ***Effect of Third Embodiment***
The training plan drafting device 100 complements the experience value of the complementation object person by using each experience value of one or more experience holders with a high degree of correlation with respect to the complementation object person. In this manner, it is possible to select a more suitable training target person. [0080] Fourth Embodiment
With respect to an embodiment wherein an experience holder correlated with a complementation object person is selected based on an experience value for a part of out-of-subject operations, an explanation will be provided of parts different mainly from those of the second embodiment and the third embodiment. [0081 ] * * *Explanation of Configuration* * *
The configuration of a training plan drafting device 100 is the same as the configuration in the first embodiment (refer to Fig. 1). [0082] ***Explanation of Operation***
A flow of a process of a training plan drafting method is the same as the flow of the process in the second embodiment or the third embodiment.
However, the method to select an out-of-subject operation in the step S242 (refer to Fig. 9) is different from the method in the second embodiment or the third embodiment. [0083] In the step S242, the complementary unit 120 selects one unselected

out-of-subject operation from among out-of-subject operations other than an excluded operation.
The excluded operation is an operation determined beforehand. Specifically, the excluded operation is an operation for which taking correlation of an experience holder with a selected candidate is considered meaningless. For example, as for an operation whose procedure is not determined, there may be no correlation between the number of times of operation and an operation time period. Therefore, it is considered to be meaningless to take correlation of an experience holder with a selected candidate on an operation whose procedure is not determined. One example of the operation whose procedure is not determined is cleaning.
[0084] The unselected operation in the step S245 is an out-of-subject operation that is not selected from among out-of-subject operations other than the excluded operation. [0085] ***Effect of Fourth Embodiment***
When a learning curve is calculated based on experiences for an operation for which taking correlation between workers is considered meaningless, the reliability (R-squared value) of the learning curve is low. As a result, it is impossible to select a suitable training target person.
Then, the training plan drafting device 100 excludes an operation for which taking correlation between workers is considered meaningless. Accordingly, it is possible to select a more suitable training target person. [0086] ***Supplementation to Embodiments***
Based on Fig. 12, a hardware configuration of the training plan drafting device 100 will be described.
The training plan drafting device 100 is equipped with a processing circuitry 990.

The processing circuitry 990 is a hardware component to realize the operation determination unit 110, the complementary unit 120 and the planning unit 130.
The processing circuitry 990 may be a dedicated hardware component, or may be a processor 901 to execute a program stored in the memory 902. [0087] When the processing circuitry 990 is the dedicated hardware component, the processing circuitry 990 is, for example, a single circuit, a composite circuit, a programmed processor, a parallel-programmed processor, an ASIC or an FPGA, or a combination thereof.
ASIC is an abbreviation for application specific integrated circuit, and FPGA is an abbreviation for field programmable gate array.
The training plan drafting device 100 may be equipped with a plurality of processing circuits substituting for the processing circuitry 990. The plurality of processing circuits share the roles of the processing circuitry 990. [0088] A part of the functions of the training plan drafting device 100 may be realized by the dedicated hardware component, and the other functions may be realized by software or firmware.
[0089] In this manner, it is possible to realize the processing circuitry 990 by a hardware component, software, firmware or a combination thereof. [0090] The embodiments are examples of preferable embodiments, which are not aimed at limiting the technical scope of the present invention. The embodiments may be partially performed, or may be performed by combining with another embodiment. The procedures described by using flowcharts, etc. may be changed appropriately. Reference Signs List
[0091] 100: training plan drafting device; 110: operation determination unit; 120: complementary unit; 130: planning unit; 191: storageunit; 192: reception unit; 193:

output unit; 200: experience data; 901: processor; 902: memory; 903: auxiliary storage device; 904: input and output interface; 990: processing circuitry

WE CLAIM:
[Claim 1] A training plan drafting device comprising:
a complementary unit to determine, based on an experience value of each experience holder who has experience in a training subject operation, a substitute value for a complementation object person to be used in place of an experience value of the complementation object person who does not have experience in the training subject operation, and
a planning unit to determine, based on the experience value of the each
experience holder, and the substitute value for the complementation object person, one
or more training target people from among the each experience holder and the
complementation object person.
[Claim 2] The training plan drafting device according to claim 1,
wherein the complementary unit calculates a mean value of experience values
of experience holders as the substitute value for the complementation object person.
[Claim 3] The training plan drafting device according to claim 1,
wherein the complementary unit selects a part of experience holders, and
determines the substitute value for the complementation object person based on each
experience value of the part of experience holders.
[Claim 4] The training plan drafting device according to claim 3,
wherein the complementary unit selects the part of experience holders based on
an experience value of each experience holder for an out-of-subject operation, and an
experience value of the complementation object person for the out-of-subject operation.
[Claim 5] The training plan drafting device according to claim 4,
wherein the complementary unit calculates a degree of correlation of the each

experience holder to the complementation object person, by using the experience value
of the each experience holder for the out-of-subject operation, and the experience value
of the complementation object person for the out-of-subject operation, and selects the
part of experience holders based on the degree of correlation of the each experience
holder to the complementation object person.
[Claim 6] The training plan drafting device according to claim 5,
wherein the complementary unit selects an experience holder with a highest
degree of correlation to the complementation object person as the part of experience
holders.
[Claim 7] The training plan drafting device according to claim 5,
wherein the complementary unit selects an experience value with respect to the
training subject operation from among experience values of an experience holder
selected, as the substitute value for the complementation object person.
[Claim 8] The training plan drafting device according to claim 5,
wherein the complementary unit selects an experience holder whose degree of
correlation to the complementation object person satisfies a correlation condition, as the
part of experience holders.
[Claim 9] The training plan drafting device according to claim 8,
wherein the complementary unit calculates a mean value of experience values of the part of experience holders with respect to the training subject operation, as the substitute value for the complementation object person.
[Claim 10] The training plan drafting device according to any one of claims 4 to
9,
wherein the complementary unit selects, based on an experience value of each worker for an out-of-subject operation other than an excluded operation, the part of

workers.
[Claim 11] A training plan drafting program for causing a computer to execute:
a complementary process to determine, based on an experience value of each experience holder who has experience in a training subject operation, a substitute value for a complementation object person to be used in place of an experience value of the complementation object person who does not have experience in the training subject operation, and
a planning process to determine, based on the experience value of the each experience holder, and the substitute value for the complementation object person, one or more training target people from among the each experience holder and the complementation object person.

Documents

Application Documents

# Name Date
1 201947043730-IntimationOfGrant06-09-2023.pdf 2023-09-06
1 201947043730.pdf 2019-10-29
2 201947043730-PatentCertificate06-09-2023.pdf 2023-09-06
2 201947043730-TRANSLATIOIN OF PRIOIRTY DOCUMENTS ETC. [29-10-2019(online)].pdf 2019-10-29
3 201947043730-STATEMENT OF UNDERTAKING (FORM 3) [29-10-2019(online)].pdf 2019-10-29
3 201947043730-FORM 3 [21-03-2023(online)].pdf 2023-03-21
4 201947043730-REQUEST FOR EXAMINATION (FORM-18) [29-10-2019(online)].pdf 2019-10-29
4 201947043730-FORM 3 [27-09-2022(online)].pdf 2022-09-27
5 201947043730-PROOF OF RIGHT [29-10-2019(online)].pdf 2019-10-29
5 201947043730-ABSTRACT [01-04-2022(online)].pdf 2022-04-01
6 201947043730-FORM 18 [29-10-2019(online)].pdf 2019-10-29
6 201947043730-CLAIMS [01-04-2022(online)].pdf 2022-04-01
7 201947043730-FORM 1 [29-10-2019(online)].pdf 2019-10-29
7 201947043730-COMPLETE SPECIFICATION [01-04-2022(online)].pdf 2022-04-01
8 201947043730-DRAWINGS [29-10-2019(online)].pdf 2019-10-29
8 201947043730-DRAWING [01-04-2022(online)].pdf 2022-04-01
9 201947043730-DECLARATION OF INVENTORSHIP (FORM 5) [29-10-2019(online)].pdf 2019-10-29
9 201947043730-FER_SER_REPLY [01-04-2022(online)].pdf 2022-04-01
10 201947043730-COMPLETE SPECIFICATION [29-10-2019(online)].pdf 2019-10-29
10 201947043730-FORM 3 [01-04-2022(online)].pdf 2022-04-01
11 201947043730-CLAIMS UNDER RULE 1 (PROVISIO) OF RULE 20 [29-10-2019(online)].pdf 2019-10-29
11 201947043730-OTHERS [01-04-2022(online)].pdf 2022-04-01
12 201947043730-FER.pdf 2021-10-18
12 abstract 201947043730.jpg 2019-10-31
13 201947043730-FORM 3 [05-03-2020(online)].pdf 2020-03-05
13 201947043730-FORM-26 [04-11-2019(online)].pdf 2019-11-04
14 201947043730-AMMENDED DOCUMENTS [07-11-2019(online)].pdf 2019-11-07
14 Correspondence by Agent_Form-1 and Power of Attorney_05-11-2019.pdf 2019-11-05
15 201947043730-FORM 13 [07-11-2019(online)].pdf 2019-11-07
15 201947043730-RELEVANT DOCUMENTS [07-11-2019(online)].pdf 2019-11-07
16 201947043730-MARKED COPIES OF AMENDEMENTS [07-11-2019(online)].pdf 2019-11-07
17 201947043730-RELEVANT DOCUMENTS [07-11-2019(online)].pdf 2019-11-07
17 201947043730-FORM 13 [07-11-2019(online)].pdf 2019-11-07
18 Correspondence by Agent_Form-1 and Power of Attorney_05-11-2019.pdf 2019-11-05
18 201947043730-AMMENDED DOCUMENTS [07-11-2019(online)].pdf 2019-11-07
19 201947043730-FORM 3 [05-03-2020(online)].pdf 2020-03-05
19 201947043730-FORM-26 [04-11-2019(online)].pdf 2019-11-04
20 201947043730-FER.pdf 2021-10-18
20 abstract 201947043730.jpg 2019-10-31
21 201947043730-CLAIMS UNDER RULE 1 (PROVISIO) OF RULE 20 [29-10-2019(online)].pdf 2019-10-29
21 201947043730-OTHERS [01-04-2022(online)].pdf 2022-04-01
22 201947043730-COMPLETE SPECIFICATION [29-10-2019(online)].pdf 2019-10-29
22 201947043730-FORM 3 [01-04-2022(online)].pdf 2022-04-01
23 201947043730-DECLARATION OF INVENTORSHIP (FORM 5) [29-10-2019(online)].pdf 2019-10-29
23 201947043730-FER_SER_REPLY [01-04-2022(online)].pdf 2022-04-01
24 201947043730-DRAWINGS [29-10-2019(online)].pdf 2019-10-29
24 201947043730-DRAWING [01-04-2022(online)].pdf 2022-04-01
25 201947043730-FORM 1 [29-10-2019(online)].pdf 2019-10-29
25 201947043730-COMPLETE SPECIFICATION [01-04-2022(online)].pdf 2022-04-01
26 201947043730-FORM 18 [29-10-2019(online)].pdf 2019-10-29
26 201947043730-CLAIMS [01-04-2022(online)].pdf 2022-04-01
27 201947043730-PROOF OF RIGHT [29-10-2019(online)].pdf 2019-10-29
27 201947043730-ABSTRACT [01-04-2022(online)].pdf 2022-04-01
28 201947043730-REQUEST FOR EXAMINATION (FORM-18) [29-10-2019(online)].pdf 2019-10-29
28 201947043730-FORM 3 [27-09-2022(online)].pdf 2022-09-27
29 201947043730-STATEMENT OF UNDERTAKING (FORM 3) [29-10-2019(online)].pdf 2019-10-29
29 201947043730-FORM 3 [21-03-2023(online)].pdf 2023-03-21
30 201947043730-TRANSLATIOIN OF PRIOIRTY DOCUMENTS ETC. [29-10-2019(online)].pdf 2019-10-29
30 201947043730-PatentCertificate06-09-2023.pdf 2023-09-06
31 201947043730-IntimationOfGrant06-09-2023.pdf 2023-09-06
31 201947043730.pdf 2019-10-29

Search Strategy

1 2021-03-1613-59-37E_16-03-2021.pdf

ERegister / Renewals