JP2010250674A - Working hour estimation device, method, and program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To estimate working hours of relevant worker even with respect to a task having no past task results. <P>SOLUTION: A work efficiency component calculation part 15 calculates, as a work efficiency component relating to each work tag indicating contents of a task, a ratio of working hours required for a worker to perform a task having the work tag as an attribute and standard working hours of the task on the basis of work result information showing contents of tasks performed by the worker and standard working hours required for execution of these tasks, and a work efficiency calculation part 16 calculates, on the basis of a work efficiency component relating to a work tag showing an attribute of a task being an estimation target, work efficiency relating to the task to be performed by the worker, and an estimate working hour calculation part 17 multiplies the work efficiency by standard working hours of the task being the estimation target to calculate estimate working hours required for the worker to perform the task. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention relates to a work management technique, and more particularly to a technique for predicting a work time required by an operator for an arbitrary work.

  When various work is performed by a plurality of workers, it is necessary to assign an appropriate work to each worker in order to increase the overall work efficiency. On the other hand, the ability of the worker varies depending on the content of the work to be performed. Therefore, it is necessary to accurately predict the work time required for each worker by each worker.

  Conventionally, as a technique for predicting such work time, a method using the standard time of work and work efficiency for each worker has been proposed (see, for example, Patent Document 1). In this technology, a standard time is set in advance as a guideline for completing the work plan, and for each worker, the work efficiency of the worker for each type of work is calculated from past work results. From the efficiency, the work time required by the worker for any type of work is calculated.

  As a similar technique, a method using the standard time of work and the skill level of each worker has been proposed (see, for example, Patent Document 2). In this technology, the skill level of each worker for each type of work is calculated from past work results, and based on the standard time and skill level of the work, the worker can select any type of work. The work time required is calculated.

JP 2008-158971 A JP-A-6-195351

  However, in such a prior art, since the work index of the worker's work efficiency and skill level is distinguished by an attribute called a single work type, for example, a new work that has never been done in the past. Regarding the type, there was a problem that the work time could not be calculated accurately.

That is, according to the prior art, when a certain worker performs the work of the work type “specification creation”, the work efficiency related to the work type “specification creation” can be calculated. The working time of the worker regarding “specification creation” is predicted.
Here, if the worker has little knowledge about “English”, if “specification creation” is performed in “English”, the work efficiency should be lower than that in “Japanese”. However, since the work type itself is “specification creation”, the work efficiency calculated from the “specification creation” work in “Japanese” is used, and the decrease in work efficiency caused by “English” cannot be evaluated. .

  An object of the present invention is to solve such a problem, and an object of the present invention is to provide a work time prediction technique capable of predicting a work time by the worker even for a work with no past work record.

  In order to achieve such an object, the work time prediction device according to the present invention sets the attribute of the task for each task as work performance information indicating the contents of each task performed by the worker who is the prediction target. The work tag to be shown, the actual work time indicating the work time required when the worker executed the task, and the work result information storage unit for storing the work time, and the standard required for executing the task for each task. For each task tag included in the work result information, a task information storage unit that stores a standard work time indicating the work time, and a task that includes the work tag is selected, and the actual work time and the standard work time related to these tasks The work efficiency component calculation unit that calculates the ratio of Necessary for the worker to perform the new task by multiplying the work efficiency by the standard work time of the new task by the work efficiency calculation unit that calculates the work efficiency of the worker on the new task based on the components A predicted work time calculation unit that calculates a predicted work time.

  Further, the work time prediction method according to the embodiment of the present invention is based on the work performance information indicating the contents of each task performed by the worker to be predicted, and the prediction required for the worker to perform a new task. A work time prediction method used in a work time prediction device that calculates a work time, in which a work result information storage unit includes, for each task, work result information indicating the contents of each task performed by the worker. A work record information storage step for storing a work tag indicating a task attribute and a work record indicating a work time required when the worker executes the task, and a task information storage unit for each task. The task information storage step for storing the standard work time indicating the standard work time required for executing the task and the work efficiency component calculation unit are included in the work performance information. For each tag, a task including the work tag is selected, a work efficiency component calculating step for calculating a ratio of the actual work time and the standard work time for the task as a work efficiency component for the work tag, and a work efficiency calculation The work efficiency calculating step for calculating the work efficiency related to the new task of the worker based on the work efficiency component related to the work tag indicating the attribute of the new task to be predicted, and the predicted work time calculating section Is multiplied by the standard work time of the new task to calculate a predicted work time calculating step for calculating the predicted work time required for the worker to perform the new task.

  Further, the program according to the present invention calculates a predicted work time required for the worker to perform an arbitrary task based on work performance information indicating the contents of each task performed by the worker to be predicted. In the computer of the work time predicting apparatus, the work result information storage unit has, as work result information indicating the contents of each task performed by the worker, a work tag indicating the attribute of the task for each task, and the task The work result information storage step for storing the actual work time indicating the work time required when the worker executed the task, and the task information storage unit for each task, the standard work required for executing the task. The task information storage step for storing the standard work time indicating the time and the work efficiency component calculation unit include the work tag for each work tag included in the work performance information. A work efficiency component calculating step for calculating the ratio of the actual work time and the standard work time for these tasks as a work efficiency component for the work tag, and a new task for which the work efficiency calculation unit is a prediction target. The work efficiency calculation step for calculating the work efficiency for the new task of the worker based on the work efficiency component for the work tag indicating the attribute of the work, and the predicted work time calculation unit multiply the work efficiency by the standard work time of the new task By doing this, the predicted work time calculating step for calculating the predicted work time required for the worker to perform the new task is executed.

  According to the present invention, even if a task has not been performed in the past by the worker, the worker executes the task based on the combination of work efficiency components related to the work tag that is the attribute of the task. It is possible to accurately predict the work time required for.

It is a block diagram which shows the structure of the working time prediction apparatus concerning the 1st Embodiment of this invention. It is an example of composition of worker information. It is an example of composition of work tag information. It is an example of composition of task information. It is a structural example of work performance information. It is a structural example of work efficiency component information. It is an example of composition of prediction work time information. It is a flowchart which shows the working time prediction operation | movement of the working time prediction apparatus concerning the 1st Embodiment of this invention. It is a flowchart which shows the worker registration process concerning the 1st Embodiment of this invention. It is a flowchart which shows the work performance registration process concerning the 1st Embodiment of this invention. It is a flowchart which shows the work efficiency component calculation process concerning the 1st Embodiment of this invention. It is a flowchart which shows the task production | generation process concerning the 1st Embodiment of this invention. It is a flowchart which shows the work efficiency calculation process concerning the 1st Embodiment of this invention. It is explanatory drawing which shows the structure of the working time prediction apparatus concerning the 2nd Embodiment of this invention. It is an example of composition which shows weight information according to work tag. It is a flowchart which shows the work efficiency calculation process concerning the 2nd Embodiment of this invention. It is a block diagram which shows the structure of the working time prediction apparatus concerning the 3rd Embodiment of this invention. It is a flowchart which shows the recommendation tag presentation process concerning the 3rd Embodiment of this invention.

Next, embodiments of the present invention will be described with reference to the drawings.
[First Embodiment]
First, with reference to FIG. 1, a working time prediction apparatus according to a first embodiment of the present invention will be described. FIG. 1 is a block diagram showing a configuration of a work time prediction apparatus according to the first embodiment of the present invention.
The work time prediction device 10 includes an information processing device such as a server device or a personal computer as a whole, and a work time required for an arbitrary worker to perform an arbitrary work, that is, a task based on the input work performance information. It has a function to predict.

  The working time required to execute the task varies depending on the ability of the worker. Here, when the standard work time required for the execution of the task is the standard work time, the change can be expressed as work efficiency with respect to the standard time. That is, the work time R required when the worker X executes the task T can be calculated by multiplying the standard work time S of the task T by the work efficiency e according to the ability of the worker X.

  On the other hand, the amount of change in work time due to the ability of the worker varies depending on the content of the task. In the present embodiment, the work efficiency indicating the change in work time is defined as the work efficiency component for each attribute indicating the task content. Then, the work efficiency of the entire task is calculated from the work efficiency component corresponding to the task attribute to be predicted, and the work efficiency is multiplied by the standard work time of the task, thereby obtaining the predicted work time of the task. Calculated.

In this embodiment, a work tag is provided as a mark indicating the task attribute, and each task is defined as having one or more work tags. For example, the task T that performs the work “specification creation” in “English” has the work tag P1 “English” and the work tag P2 “specification creation”. Therefore, if the work efficiency component e1 of the work tag P1 and the work efficiency component e2 of the work tag P2 are obtained, the work efficiency of the entire task T is obtained from these work efficiency components e1 and e2.
The present embodiment statistically processes the worker's actual work time extracted from a task including an arbitrary work tag and the standard work time set in advance for these tasks, thereby obtaining a work efficiency component related to the work tag. Is calculated.

[Working time prediction device]
Next, with reference to FIG. 1, the structure of the working time prediction apparatus concerning the 1st Embodiment of this invention is demonstrated. FIG. 1 is a block diagram showing a configuration of a work time prediction apparatus according to the first embodiment of the present invention.

  The work time prediction apparatus 10 according to the present embodiment includes, as main functional units, an information input unit 11, a screen display unit 12, an information processing unit 13, a worker information storage unit 14A, a task information storage unit 14C, and work tag information. A storage unit 14B, a work performance information storage unit 14D, a work efficiency component storage unit 14E, a predicted work time storage unit 14F, a work efficiency component calculation unit 15, a work efficiency calculation unit 16, and a predicted work time calculation unit 17 are provided. .

The information input unit 11 includes an operation input device such as a keyboard and a mouse, or a data input / output interface circuit that performs data communication with an external device (not shown), and various processing information used for calculating predicted work time such as work performance information. It has a function to input.
The screen display unit 12 includes a screen display device such as an LCD or a PDP, and has a function of displaying various information such as an operation menu and an estimated work time on the screen.

  The information processing unit 13 stores various processing information input from the information input unit 11 in the worker information storage unit 14A, the work tag information storage unit 14B, the task information storage unit 14C, and the work performance information storage unit 14D. A function of acquiring predetermined processing information from the worker information storage unit 14A, task information storage unit 14C, work tag information storage unit 14B, and work performance information storage unit 14D, and a predicted work time of the predicted work time storage unit 14F. Is displayed on the screen display unit 12.

The worker information storage unit 14A has a function of storing worker information related to the worker. FIG. 2 is a configuration example of worker information. Here, for each worker ID unique to each worker, a worker ID and provisional work efficiency are registered as a set. The temporary work efficiency is work efficiency used when the work efficiency component of the worker is not required. A reasonable value may be used for this temporary work efficiency.
The work tag information storage unit 14B has a function of storing work tag information indicating work performed by the worker, that is, task attributes. FIG. 3 is a configuration example of work tag information. Here, a work tag name is registered for each work tag ID unique to each work tag.

The task information storage unit 14C has a function of storing task information related to tasks performed by the worker. FIG. 4 is a configuration example of task information. Here, for each task ID unique to each task, a task name, worker ID, work tag ID, and standard work time are registered as a set.
The work record information storage unit 14D has a function of storing work record information related to tasks actually performed by the worker. FIG. 5 is a configuration example of work performance information. Here, for each task ID unique to each task, the worker ID of the worker who executed the task, the actual work time indicating the work time required to execute the task, and the input date and time when the task is input are set. It is registered as.

The work efficiency component storage unit 14 </ b> E has a function of temporarily storing work efficiency components calculated by the work efficiency component calculation unit 15 and related to each work tag of the worker who is the target of calculation and prediction of the predicted work time. FIG. 6 is a configuration example of work efficiency component information. Here, work efficiency is registered for each combination of worker ID and work tag ID.
The predicted work time storage unit 14 </ b> F has a function of storing the predicted work time calculated by the predicted work time calculation unit 17 and required for the worker who is the prediction target of calculation of the predicted work time to perform any work. . FIG. 7 is a configuration example of the predicted work time information. Here, the predicted work time is registered for each combination of task ID and worker ID.

  The work efficiency component calculation unit 15 selects a task including the work tag for each work tag included in the work result information of the work result information storage unit 14D, and the actual work time and the standard work time related to these tasks. From the above, there is a function of calculating a work efficiency component indicating the work efficiency related to the work tag of the worker who is the prediction target of calculation of the predicted work time and storing it in the work efficiency component storage unit 14E.

The work efficiency calculation unit 16 has a function of calculating the work efficiency related to the task of the worker who is the calculation target of the predicted work time based on the work efficiency component related to the work tag indicating the attribute of the task to be predicted. ing.
The predicted work time calculation unit 17 multiplies the work efficiency calculated by the work efficiency calculation unit 16 by the standard work time of the task to be predicted, so that the worker who is the prediction target of the predicted work time calculates the task. It has a function of calculating a predicted work time necessary for performing and storing it in the predicted work time storage unit 14F.

  Among the functional units of the work time prediction apparatus 10, the worker information storage unit 14A, the task information storage unit 14C, the work tag information storage unit 14B, the work performance information storage unit 14D, the work efficiency component storage unit 14E, and the predicted work time storage. The unit 14F includes a storage device such as a hard disk or a semiconductor memory. About these, either one part or all may be implement | achieved by the same memory | storage device, and you may implement | achieve with a different memory | storage device.

  In addition, among the functional units of the work time prediction apparatus 10, the work efficiency component calculation unit 15, the work efficiency calculation unit 16, and the predicted work time calculation unit 17 may be realized by an arithmetic processing unit. The arithmetic processing unit includes a microprocessor such as a CPU and its peripheral circuits, and has a function of realizing various processing units by reading and executing a program stored in the storage device.

[Operation of First Embodiment]
Next, with reference to FIG. 8, the operation of the work time prediction apparatus according to the first embodiment of the present invention will be described. FIG. 8 is a flowchart showing a work time prediction operation of the work time prediction apparatus according to the first embodiment of the present invention.

  The work time prediction device 10 performs a work time prediction operation as shown in FIG. 8 when predicting a work time required for an arbitrary worker to perform an arbitrary work. Here, it is assumed that work tag information and task information are registered in advance in the work tag information storage unit 14B and the task information storage unit 14C, respectively.

  First, the work time prediction apparatus 10 executes worker information registration processing for registering worker information regarding each worker input from the information input unit 11 in the worker information storage unit 14A (step 100). A work record registration process for registering work record information related to a task actually performed by each worker input from the information input unit 11 in the work record information storage unit 14D is executed (step 101). The work performance registration process includes a work efficiency component process for calculating a work efficiency component related to the work tag of the worker who is the target of calculation of the predicted work time.

  Thereafter, the work time prediction device 10 executes a task generation process for generating a task input from the information input unit 11 based on the work efficiency component obtained in the work efficiency component process of the work record registration process (step 102). This task generation process includes a predicted work time calculation process for predicting a work time required for an arbitrary worker to perform an arbitrary work. Thereby, a series of operation time prediction operations are completed.

[Worker registration process]
Next, the worker registration process executed in step 100 of FIG. 8 will be described with reference to FIG. FIG. 9 is a flowchart showing worker registration processing according to the first embodiment of the present invention.

The work time prediction device 10 first acquires the worker name and provisional work efficiency information input from the information input unit 11 by the information processing unit 13 (step 110).
Next, the information processing unit 13 determines a worker ID unique to the worker (step 111). Here, for example, a value obtained by adding 1 to the maximum value of the worker ID stored in the worker information storage unit 14A may be used as the new worker ID.
Thereafter, the information processing unit 13 registers the set of the worker ID, the worker name, and the temporary work efficiency information as worker information in the worker information storage unit 14A (step 112), and a series of workers. The registration process ends.

[Work result registration process]
Next, with reference to FIG. 10, the work record registration process executed in step 101 of FIG. 8 will be described. FIG. 10 is a flowchart showing a work record registration process according to the first embodiment of the present invention.

  The work time prediction device 10 first acquires the task ID, the worker ID, and the actual work time input from the information input unit 11 by the information processing unit 13 (step 120), and from the clock function of the CPU, The date / time information acquired is acquired (step 121), and a set of task ID, worker ID, actual work time, and date / time information is registered in the actual work information storage unit 14D as the actual work information (step 122). .

Subsequently, the work time prediction device 10 acquires the task ID, the worker ID, and the actual work time input from the information input unit 11 from the information processing unit 13 by the work efficiency component calculation unit 15 (step 123). ).
Thereafter, the work efficiency component calculation unit 15 searches the task information storage unit 14C for all the task information whose task ID and task ID match, and acquires the work tag ID and the standard work time information from these task information. The loop process A in steps 125 to 127 is repeatedly executed for each of these work tag IDs (step 124).

In the loop process A, the work efficiency component calculation unit 15 first searches the task information storage unit 14C for all task information whose work tag ID matches the selected work tag ID, and uses the task information to determine the task ID and the task ID. Standard work time information is acquired (step 125).
Next, the work efficiency component calculation unit 15 searches the work result information storage unit 14D for all the work result information whose task ID and task ID match, and inputs the actual work time and input related to the task from these work result information. Date and time information is acquired (step 126).

Thereafter, the work efficiency component calculation unit 15 calculates the work efficiency component related to the work tag of the worker corresponding to the worker ID input in step 120 based on the actual work time and the input date and time information. An efficiency component calculation process is executed (step 127).
In this way, after completing the loop process A, the work efficiency component calculation unit 15 stores the obtained work efficiency component in the work efficiency component storage unit 14E (step 128), and ends a series of work result registration processes. .

[Work efficiency component calculation processing]
Next, the work efficiency component calculation process executed in step 127 of FIG. 10 will be described. In this work efficiency component calculation process, it is necessary to calculate the work efficiency component while suppressing the influence of the outlier on the assumption that the actual work time includes a value having a large variation, that is, an outlier.

As a work efficiency component calculation method capable of suppressing the influence of such outliers, the actual work time of the task is divided by the standard work time for each task ID acquired in step 125 of FIG. There is a method of calculating the median as a work efficiency component. Thereby, the possibility that an outlier is selected as a work efficiency component can be suppressed.
In addition, as a more advanced work efficiency calculation algorithm, a work tag work efficiency calculation technique using a robust estimation method can be considered.

[Work efficiency component calculation processing by robust estimation method]
Next, the principle of the work efficiency component calculation process by the robust estimation method will be described.
The robust estimation method is a least square method that is less affected by outliers. As the robust estimation method, there are three types of methods, namely, Biweight estimation method (M estimation method), LMedS method, and RANSAC method. In this embodiment, Tukey's Biweight estimation method is used. In the following, a mathematical model will be described first, and then an algorithm used in this embodiment will be described.

First, a mathematical model of work efficiency component calculation processing by the Biweight estimation method will be described.
When calculating a work efficiency component related to an arbitrary work tag P of an arbitrary worker X, a task T including the work tag is extracted as a processing target from the work performance information, and the standard work time related to the task T and the worker's The work efficiency component is calculated from the actual work time.

Here, among the tasks T including the work tag P as an attribute, the standard work time of the i-th task (0 ≦ i ≦ n: n is a natural number) is set to Si, and the actual work time Ri is set. Here, in the calculation of the work efficiency component, when the weight of the task Ti between these tasks T is Wi and the initial value of the weight Wi is “1”, the task T with the work tag P of the worker X is attached. The work efficiency component e is expressed by the following formula (1). In this case, the case where Wi is all 1 is included.

Further, when an approximate straight line indicating the relationship between the standard work time S and the actual work time R is R = e · S using the work efficiency component e, an error di between the approximate line and the actual actual work time Ri. Is represented by the following equation (2).

Here, let D be an allowable error with respect to the error di of the actual work time Ri, and the larger the error di between the approximate line and the actual actual work time Ri, the smaller the weight given to the least squares, the following equation (3 ) To calculate the weight Wi for the i-th task Ti.

  In the Biweight estimation method, the work efficiency component e is calculated again using the weight Wi calculated by the above equation (3), and the work efficiency e with less influence of outliers can be calculated by repeating these series of processes. . The above is the mathematical model of the work efficiency component calculation process by the Biweight estimation method.

  Next, with reference to FIG. 11, the work efficiency component calculation process by the robust estimation method when actually executed in step 127 of FIG. 10 will be described. FIG. 11 is a flowchart showing the work efficiency component calculation processing according to the first embodiment of the present invention.

The work time prediction apparatus 10 assigns weights used for determination of outliers to the task IDs acquired in step 126 of FIG. 10 by the work efficiency component calculation unit 15 and sets “1” as an initial value of these weights. Is set (step 130).
Next, in order to exclude outliers, the work efficiency component calculation unit 15 repeatedly executes the loop processing A of steps 132 to 142 for a prescribed number of times, for example, about 5 times (step 131).

  In the loop process A, the work efficiency component calculation unit 15 first initializes the denominator eD and the numerator eN of the work efficiency component e by setting them to “0” (step 132), and obtains them in step 126 of FIG. The loop process B of steps 134 to 136 is repeatedly executed for each of the task IDs (step 133).

  In the loop process B, the work efficiency component calculation unit 15 first searches the task information storage unit 14C for task information whose task ID matches the selected task ID, and acquires standard work time information from the task information. At the same time, task information whose task ID matches the selected task ID is searched from the work performance information storage unit 14D, and the actual work time information is acquired from the work performance information (step 134).

Next, the work efficiency component calculation unit 15 multiplies the weight of the selected task ID by the standard work time and the actual work time based on the above-described equation (1), and adds it to the numerator eN of the work efficiency component. (Step 135).
Further, the work efficiency component calculation unit 15 multiplies the weight of the selected task ID by the square of the standard work time based on the above-described equation (1), and adds it to the denominator eD of the work efficiency component (step 136).

In this way, after completing the loop process B, the work efficiency component calculation unit 15 calculates the work efficiency component e related to the work tag by dividing the numerator eN by the denominator eD based on the above-described equation (1). (Step 137).
Thereafter, the work efficiency component calculation unit 15 repeatedly executes the loop process C of Steps 139 to 140 for each of the task IDs acquired at Step 126 of FIG. 10 (Step 138).

In the loop process C, the work efficiency component calculation unit 15 first calculates an approximate straight line and an actual line from the standard work time Si, the actual work time Ri, and the work efficiency component e of the selected task Ti based on the above-described equation (2). An error di with the actual work time Ri is calculated (step 139).
Subsequently, the work efficiency component calculation unit 15 compares the calculated error di with the allowable error D, and calculates a new weight Wi for the selected task Ti based on the following equation (3) (step 140). .

  After completing the loop processing C in this way, the work efficiency component calculation unit 15 determines that when all the new weights Wi of the tasks Ti calculated in the loop processing C are “0” (step 141: YES), Since all the actual work times of the task Ti are outliers outside the allowable error D, the allowable error D is increased by a predetermined amount (step 142), and then the process returns to step 138.

On the other hand, if all of the new weights Wi are not “0” in step 141 (step 141: NO), the work efficiency component calculation unit 15 returns to step 132 by repeating the loop process A.
In this way, the work efficiency component calculation unit 15 repeats the loop process A a predetermined number of times, and finally uses the work efficiency component e obtained as the work efficiency component related to the work tag of the worker, The efficiency component calculation process ends.

[Task generation processing]
Next, with reference to FIG. 12, the task generation process executed in step 102 in FIG. 8 will be described. FIG. 12 is a flowchart showing task generation processing according to the first embodiment of the present invention.

The work time prediction apparatus 10 first acquires the task name, work tag name, worker ID, and standard work time related to a newly generated task input from the information input unit 11 by the information processing unit 13 ( Step 150).
Next, the information processing unit 13 compares the work tag name registered in the work tag information storage unit 14B with the work tag name of the new task, and confirms whether the work tag name of the new task has been registered. (Step 151).

  Here, when there is no match and it is not registered (step 151: NO), a work tag ID specific to the work tag of the new task is determined, and a combination of this work tag ID and the work tag name of the new task is determined. Is registered in the work tag information storage unit 14B as new work tag information (step 152). Here, for example, a value obtained by adding 1 to the maximum value of the work tag ID registered in the work tag information storage unit 14B may be used as a new work tag ID.

Next, the information processing unit 13 acquires a corresponding work tag ID from the work tag information whose work tag name matches the work tag name of the new task from the work tag information storage unit 14B (step 153).
Thereafter, the information processing unit 13 determines a task ID unique to the new task, and uses the set of the task ID, task name, worker ID, work tag ID, and standard work time of the new task as new task information. It is registered in the task information storage unit 14C (step 154). Here, for example, a value obtained by adding 1 to the maximum value of the task ID registered in the task information storage unit 14C may be used as the new task ID.

  Subsequently, the work time predicting apparatus 10 repeatedly executes the loop process A of steps 156 to 159 for each of the work tag IDs registered in the work tag information storage unit 14B by the work efficiency calculation unit 16 (step 155). ).

In the loop process A, the work efficiency calculation unit 16 first calculates the work efficiency related to the new task from the work efficiency component related to the work tag of the new task by executing a work efficiency calculation process described later (step 156). .
Next, the work time prediction device 10 acquires the work efficiency calculated in step 156 and the standard work time of the new task from the work efficiency calculation unit 16 by the predicted work time calculation unit 17 (step 157). Is multiplied by the standard work time to calculate the predicted work time required for the worker to execute the new task (step 158), and the set of task ID, worker ID, and predicted work time of the new task is obtained. The predicted work time information is registered in the predicted work time storage unit 14F (step 159).

  In this way, after the loop processing A is completed, the work time prediction device 10 causes the information processing unit 13 to display various information related to the new task including the predicted work time related to the new task as a task generation result on the screen display unit 12. Is displayed on the screen (step 160), and a series of task generation processing ends.

[Work efficiency calculation processing]
Next, the work efficiency calculation process executed in step 156 of FIG. 12 will be described with reference to FIG. FIG. 13 is a flowchart showing a work efficiency calculation process according to the first embodiment of the present invention.

  The work time prediction device 10 first acquires the task ID, worker ID, and work tag ID of the new task by the work efficiency calculation unit 16 (step 170), and step 172 for each work tag ID of the new task. The loop process A of ˜175 is repeatedly executed (step 171).

In the loop process A, the work efficiency calculation unit 16 first acquires a work efficiency component whose work tag ID matches the selected work tag ID from the work efficiency component storage unit 14E (step 172).
Here, when the work efficiency component of the selected work tag ID cannot be obtained (step 173: NO), the temporary work efficiency of the worker information whose worker ID matches the worker ID of the new task is selected as the selected work. As the work efficiency component of the tag ID, it is acquired from the worker information storage unit 14A (step 174).

  In this way, after completing the loop process A, the work efficiency calculation unit 16 calculates the new task by arithmetically averaging the work efficiency components corresponding to the work tag ID of the new task acquired in the loop process A. The work efficiency relating to the new task of the worker to be executed is calculated (step 175), and the series of work efficiency calculation processes is terminated.

[Effect of the first embodiment]
As described above, the present embodiment indicates the task contents from the work performance information indicating the contents of the task performed by the worker who is the target of the work time and the standard work time required to execute these tasks. For each work tag, a ratio between the work time required when the worker performs a task having the work tag as an attribute and the standard work time of the task is calculated as a work efficiency component related to the work tag and predicted. Based on the work efficiency component related to the work tag indicating the attribute of the target task, the work efficiency related to the task of the worker is calculated, and this work efficiency is multiplied by the standard work time of the task to be predicted, The predicted work time required for the worker to perform the task is calculated.

  As a result, even if the task has not been performed in the past, it is necessary for the worker to execute the task based on the combination of the work efficiency components related to the work tag that is the attribute of the task. It is possible to accurately predict the working time.

  Further, in the present embodiment, when the work efficiency component calculation unit 15 calculates the work efficiency component related to an arbitrary work tag, the sum of the product of the actual work time and the standard work time obtained for each task is calculated for each task. The work efficiency component may be calculated by dividing by the sum of squares of the standard work time obtained in step (b). As a result, it is possible to calculate a work efficiency component with less error.

  Further, in the present embodiment, when the work efficiency component calculation unit 15 calculates the work efficiency component related to an arbitrary work tag, by applying the robust estimation method to the actual work time and the standard work time of each task, An approximate line that is less affected by outliers may be obtained as an approximate line indicating the relationship between the actual work time and the standard work time, and the slope of the approximate line may be calculated as a work efficiency component. As a result, it is possible to calculate a work efficiency component with very little error, in which the influence of outliers with large variations is suppressed.

  In the present embodiment, when the work efficiency component calculation unit 15 calculates the work efficiency component related to an arbitrary work tag, the actual work time is divided by the standard work time for each task, and the center of the obtained values is calculated. The value may be calculated as a work efficiency component. As a result, it is possible to calculate a work efficiency component with few errors with extremely simple arithmetic processing.

  In the present embodiment, when the work efficiency calculation unit 16 calculates the work efficiency of the task to be predicted, the worst value selected from the work efficiency components related to the work tag indicating the attribute of the task to be predicted is calculated. You may make it calculate as work efficiency. As a result, it is possible to calculate a work efficiency component with few errors with extremely simple arithmetic processing.

[Second Embodiment]
Next, with reference to FIG. 14, a working time prediction apparatus according to the second embodiment of the present invention will be described. FIG. 14 is an explanatory diagram illustrating a configuration of a work time prediction apparatus according to the second embodiment of the present invention.

In the first embodiment, the case has been described in which the work efficiency calculation unit 16 calculates the arithmetic average of the work efficiency components related to each work tag indicating the attribute of the task as the work efficiency of the task to be predicted.
In the present embodiment, a case will be described in which the work efficiency of the task is calculated by weighting these work efficiency components using the weights assigned in advance for each work tag of the task.

As illustrated in FIG. 14, a work tag-specific weight storage unit 14 </ b> G is added to the work time prediction apparatus 10 according to the present embodiment.
The work tag-specific weight storage unit 14G has a function of storing a work tag-specific weight for each work tag of each task. FIG. 15 is a configuration example showing weight information for each work tag. Here, for each combination of task ID and work tag ID, a weight for the work efficiency component related to the work tag is registered.

  The weight for each work tag is an influence degree indicating how much the work efficiency component related to the work tag given to an arbitrary task affects the work efficiency of the task. In the example of FIG. 15, the work tag weight is a coefficient that takes a value greater than “0” and less than or equal to “1”, and is “1” when all the work tag weights assigned to the same task are added.

When the work efficiency calculation unit 16 calculates the work efficiency related to the task to be predicted, the work tag weights of the work tags assigned to the tasks acquired from the work tag weight storage unit 14G, and these work tags It has a function of calculating the work efficiency of the task by calculating the product-sum of the work efficiency components.
Note that, in the work time prediction apparatus 10 according to the present embodiment, configurations other than the work tag weight storage unit 14G and the work efficiency calculation unit 16 are the same as those in the first embodiment, and will be described in detail here. Is omitted.

[Operation of Second Embodiment]
The weight for each work tag is input from the information input unit 11 in the task generation process of FIG. 12 described above, and is registered in the weight storage unit for each work tag 14G by the information processing unit 13.
For example, between step 154 and step 155 in FIG. 12, the information processing unit 13 acquires a set of work tag IDs and work tag weights input from the information input unit 11 and stores work tag weights. What is necessary is just to register into the part 14G.

Next, with reference to FIG. 16, the work efficiency calculation process executed in step 156 of FIG. 12 will be described. FIG. 16 is a flowchart showing a work efficiency calculation process according to the second embodiment of the present invention. The same or equivalent parts as those in FIG. 13 described above are denoted by the same reference numerals.
In the work efficiency calculation process according to the present embodiment, steps 200 to 201 are provided instead of step 175 in FIG. Steps 170 to 174 are the same as those in FIG. 13 described above, and a detailed description thereof will be omitted here.

After completing the loop process A in step 171, the work efficiency calculation unit 16 acquires the work tag weights corresponding to the work tag IDs assigned to the new tasks from the work tag weight storage unit 14 </ b> G (steps). 200).
Subsequently, for each work tag ID of the new task, the work efficiency calculation unit 16 adds the work tag ID weight of the work tag ID to the work efficiency component of the work tag ID acquired in the loop process A of step 171 in FIG. And summing the multiplication results, the work efficiency of the worker who executes the new task is calculated as the work efficiency related to the new task (step 201), and the series of work efficiency calculation processes is terminated.

[Effects of Second Embodiment]
As described above, in this embodiment, the work tag-specific weight storage unit 14G stores the weight between these work tags for each work tag included in the work performance information, and the work efficiency calculation unit 16 performs the prediction target. Since the work efficiency component related to the work tag indicating the attribute of the task to be used is calculated as a work efficiency by using a weighted average for each work tag with respect to the work tag of the task, the work efficiency is calculated. It is possible to calculate the work efficiency considering the influence level of the work tag. Thereby, since the accuracy of the calculated work efficiency is improved, it is possible to predict the work time related to the new task with high accuracy.

[Third Embodiment]
Next, with reference to FIG. 17, a working time prediction apparatus according to the third embodiment of the present invention will be described. FIG. 17 is a block diagram illustrating a configuration of a work time prediction apparatus according to the third embodiment of the present invention.

In the first embodiment, when registering a new task in the task generation process of FIG. 12, the operator may input a work tag indicating the content of the new task from the information input unit 11.
In the present embodiment, when the work tag predicting apparatus according to the first embodiment is additionally provided with a recommendation tag presenting unit 18 and a work tag indicating the content of a new task is input, a work tag related to the worker Will be described as a recommendation tag.

The recommended tag presenting unit 18 obtains a work tag related to the worker who executes the new task from the work tag information storage unit 14B and counts the duplication number, and displays each work tag in the order of the duplication number. The display unit 12 has a screen display function.
The other configuration of the work time prediction apparatus according to this embodiment is the same as that of the first embodiment, and detailed description thereof is omitted here.

[Operation of Third Embodiment]
Next, with reference to FIG. 18, the recommendation tag presentation process executed in step 150 of FIG. 12 will be described. FIG. 18 is a flowchart showing a recommendation tag presenting process according to the third embodiment of the present invention.

In step 150 of FIG. 12, the recommended tag presenting unit 18 executes a recommended tag presenting process as shown in FIG.
The recommended tag presenting unit 18 first acquires the worker ID of the new task from the information processing unit 13, and sets the work tag ID that matches the worker ID and the worker ID to the work performance information in the work performance information storage unit 14D. (Step 300), and the duplication number of these work tag IDs is counted (step 301).

  Next, the recommended tag presenting unit 18 acquires a work tag name whose work tag ID matches the work tag ID from the work tag information storage unit 14B (step 302). The screens are rearranged in the order of a plurality of items and displayed as recommended tags on the screen display unit 12 (step 303), and a series of recommended tag presentation processing ends.

[Effect of the third embodiment]
As described above, in this embodiment, when registering a new task, work tags related to the worker of the new tag are acquired from the work performance information, and these work tags are recommended tags in descending order. Therefore, when the operator inputs a work tag for a new task, a work tag capable of calculating the predicted work time of the worker can be presented to the operator as a recommended tag. As a result, it is possible to reduce an operator's work burden required for setting and inputting a work tag corresponding to a new task, and to predict a work time with higher accuracy.

[Extended embodiment]
The present invention has been described above with reference to the embodiments, but the present invention is not limited to the above embodiments. Various changes that can be understood by those skilled in the art can be made to the configuration and details of the present invention within the scope of the present invention.

  Moreover, although each embodiment demonstrated as an example the case where each function part of the working time prediction apparatus 10 was implement | achieved by one information processing apparatus, it is not limited to this, Information processing apparatus and an external storage device In addition, some of the functional units may be distributed.

  INDUSTRIAL APPLICABILITY According to the present invention, the present invention can be applied to a tool that requires a determination using an operator's predicted work time. Specifically, it can be applied to uses such as schedule creation tools and project management tools.

  DESCRIPTION OF SYMBOLS 10 ... Work time prediction apparatus, 11 ... Information input part, 12 ... Screen display part, 13 ... Information processing part, 14A ... Worker information storage part, 14B ... Work tag information storage part, 14C ... Task information storage part, 14D ... Work result information storage unit, 14E ... work efficiency component storage unit, 14F ... predicted work time storage unit, 14G ... work tag weight storage unit, 15 ... work efficiency component calculation unit, 16 ... work efficiency calculation unit, 17 ... prediction work Time calculation unit, 18... Recommended tag presentation unit.

Claims (17)

As work performance information indicating the contents of each task executed by the worker to be predicted, for each of these tasks, a work tag indicating the attribute of the task and the work time required when the worker executes the task A work performance information storage unit for storing the actual work time indicating
For each task, a task information storage unit that stores a standard work time indicating a standard work time required to execute the task;
For each work tag included in the work performance information, a task including the work tag is selected, and a ratio between the actual work time and the standard work time related to these tasks is calculated as a work efficiency component related to the work tag. A work efficiency component calculation unit for
Based on the work efficiency component related to the work tag indicating the attribute of the new task to be predicted, the work efficiency calculation unit that calculates the work efficiency related to the new task of the worker;
A predicted work time calculating unit that calculates a predicted work time required for the worker to perform the new task by multiplying the work efficiency by a standard work time of the new task. Work time prediction device. In the work time prediction device according to claim 1,
The work efficiency component calculating unit divides the sum of the product of the actual work time and the standard work time obtained for each task by the sum of squares of the standard work time obtained for each task. A work time prediction apparatus characterized by calculating an efficiency component. In the work time prediction device according to claim 1,
The work efficiency component calculation unit applies the robust estimation method to the actual work time and the standard work time of each task, so that the influence of an outlier is affected as an approximate straight line indicating the relationship between the actual work time and the standard work time. A working time prediction apparatus characterized by obtaining a small number of approximate lines and calculating the slope of the approximate lines as the work efficiency component. In the work time prediction device according to claim 1,
The work efficiency component calculating unit divides the actual work time by the standard work time for each task, and calculates a median value of the obtained values as the work efficiency component. In the work time prediction device according to claim 1,
The work efficiency calculating unit calculates an arithmetic average value of the work efficiency components related to a work tag indicating an attribute of the new task as the work efficiency. In the work time prediction device according to claim 1,
The work efficiency predicting device, wherein the work efficiency calculating unit calculates a worst value selected from the work efficiency components related to a work tag indicating an attribute of the new task as the work efficiency. In the work time prediction device according to claim 1,
For each of the work tags included in the work performance information, further includes a work tag-specific weight storage unit that stores weights between these work tags,
The work efficiency calculation unit calculates a value obtained by weighted averaging the work efficiency components related to a work tag indicating an attribute of the new task with the weight as the work efficiency. In the work time prediction device according to claim 1,
When operating and inputting various information related to the new task, the work tag of each task stored in the work performance information storage unit is acquired, the duplication number is counted for each work tag, A work time predicting apparatus, further comprising a recommendation tag presenting unit that rearranges in order of multiple duplication and displays on a screen display unit as a recommendation tag of the new task. Working time used by the working time prediction device that calculates the predicted working time required for the worker to perform a new task based on work performance information indicating the contents of each task performed by the worker to be predicted A prediction method,
When the work result information storage unit performs work tasks indicating the attributes of the task for each task as work result information indicating the contents of each task performed by the worker, and when the worker executes the task. A work performance information storage step for storing the actual work time indicating the required work time;
A task information storage unit that stores, for each task, a standard work time indicating a standard work time required for executing the task;
The work efficiency component calculation unit selects a task including the work tag for each work tag included in the work performance information, and determines a ratio between the actual work time and the standard work time regarding the task. A work efficiency component calculating step for calculating as a work efficiency component related to the tag;
A work efficiency calculation step in which a work efficiency calculation unit calculates work efficiency related to the new task of the worker based on the work efficiency component related to a work tag indicating an attribute of the new task to be predicted;
A predicted work time calculating unit that calculates a predicted work time required for the worker to perform the new task by multiplying the work efficiency by a standard work time of the new task; A work time prediction method comprising: The work time prediction method according to claim 9,
The work efficiency component calculating step divides the sum of the product of the actual work time and the standard work time obtained for each task by the sum of squares of the standard work time obtained for each task. A work time prediction method comprising a step of calculating an efficiency component. The work time prediction method according to claim 9,
In the work efficiency component calculation step, by applying a robust estimation method to the actual work time and the standard work time of each task, the influence of an outlier as an approximate straight line indicating the relationship between the actual work time and the standard work time is obtained. A method for predicting a work time, comprising: calculating a few approximate straight lines and calculating a slope of the approximate straight lines as the work efficiency component. The work time prediction method according to claim 9,
The work efficiency component calculating step includes a step of dividing the actual work time for each task by the standard work time and calculating a median value of the obtained values as the work efficiency component. Prediction method. The work time prediction method according to claim 9,
The work efficiency calculating step includes a step of calculating, as the work efficiency, an arithmetic average value of the work efficiency components related to a work tag indicating an attribute of the new task. The work time prediction method according to claim 9,
The work efficiency calculating step includes a step of calculating, as the work efficiency, a worst value selected from the work efficiency components related to a work tag indicating an attribute of the new task. The work time prediction method according to claim 9,
The work tag-specific weight storage unit further includes a work tag-specific weight storage step for storing a weight between these work tags for each of the work tags included in the work performance information,
The work efficiency calculating step includes a step of calculating, as the work efficiency, a value obtained by weighted averaging the work efficiency components related to a work tag indicating an attribute of the new task with the weight. The work time prediction method according to claim 9,
When the recommended tag presenting unit inputs various information related to the new task, the work tag of each task stored in the work performance information storage unit is acquired, and the duplication number is counted for each work tag. A work time prediction method, further comprising a recommendation tag presenting step of rearranging these work tags in order of increasing number of duplications and displaying the work tags as recommendation tags of the new task on a screen display unit. Based on the work performance information indicating the contents of each task performed by the worker to be predicted, the computer of the work time prediction device that calculates the predicted work time required for the worker to perform any task,
When the work result information storage unit performs work tasks indicating the attributes of the task for each task as work result information indicating the contents of each task performed by the worker, and when the worker executes the task. A work performance information storage step for storing the actual work time indicating the required work time;
A task information storage unit that stores, for each task, a standard work time indicating a standard work time required for executing the task;
The work efficiency component calculation unit selects a task including the work tag for each work tag included in the work performance information, and determines a ratio between the actual work time and the standard work time regarding the task. A work efficiency component calculating step for calculating as a work efficiency component related to the tag;
A work efficiency calculation step in which a work efficiency calculation unit calculates work efficiency related to the new task of the worker based on the work efficiency component related to a work tag indicating an attribute of the new task to be predicted;
A predicted work time calculating unit that calculates a predicted work time required for the worker to perform the new task by multiplying the work efficiency by a standard work time of the new task; A program that executes

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