JP2002007656A - Task progress estimation device and method, task schedule review device and method, and process progress expectation device and method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a task progress estimation device capable of exactly estimating the progress for each process. SOLUTION: The task progress estimation device is provided with an input part for inputting the number of workers to be assigned to an object to be subjected to a task progress estimation, a storage part for storing data showing the relation of the number of workers and the task progress corresponding to either task contents or task environment at least, and an arithmetic part for operating the task progress concerning the object on the basis of the inputted number of workers and the data stored in the storage part.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

The present invention relates to an apparatus and method for estimating work progress, an apparatus and method for studying work plan, and an apparatus and method for estimating process progress.

[0002]

2. Description of the Related Art In an operation such as a shipbuilding operation in which the number of work steps and work places are extremely large, it is required to examine the feasibility of a work plan and to predict the progress of the work as accurately as possible. For example, some large luxury cruise ships have more than 1,000 guest rooms, and when constructing those guest rooms, the work of loading and unloading each member, the work of constructing ceilings, the work of constructing walls, and the work of constructing floors Depending on how many workers each start and when to finish, the total number of working days greatly increases and decreases.

[0003]

It is desired to accurately predict the progress of each process. It is desired that the number of workers (work capacity) assigned to each process is optimal. It is desired that an operator be assigned to each process on an optimal schedule. It is desired that surplus capacity be optimally transferred to other processes.

It is desired to more accurately grasp the feasibility of a work plan. When reviewing the work plan, it is desirable that there be no need to significantly review the original plan and that minimal changes be required.

When the situation after the start of the work is different from the situation expected before the start of the work, it is desired to grasp the work progress taking into account the situation after the start of the work. For the situation expected before the work started,
When the situation after the start of the work is deviated, it is desired to grasp the work progress by taking into account the situation after the start of the work with a smaller amount of calculation.

SUMMARY OF THE INVENTION An object of the present invention is to provide a work progress estimating apparatus and method capable of accurately estimating the progress of each process. It is another object of the present invention to provide an apparatus and method for estimating a work progress that can optimize the number of workers (work capacity) assigned to each process. It is still another object of the present invention to provide an apparatus and a method for estimating a work progress in which an operator can be assigned to each process at an optimal schedule. Still another object of the present invention is to provide an apparatus and method for estimating a work progress in which surplus capacity can be optimally transferred to another process.

It is still another object of the present invention to provide an apparatus and method for examining a work plan which can more accurately grasp the feasibility of the work plan. It is still another object of the present invention to provide an apparatus and method for reviewing a work plan which does not require a major review of the original plan and requires only minimal changes.

[0008] Still another object of the present invention is to provide a system in which, when the situation after the start of the work is different from the situation expected before the start of the work, the progress of the work is considered by taking the situation after the start of the work into consideration. An object of the present invention is to provide an apparatus and method for predicting a process progress that can be grasped. Still another object of the present invention is to provide
When the situation after the start of the work is different from the situation expected before the start of the work, the process progress that can grasp the work progress by taking into account the situation after the start of the work with a smaller amount of calculation It is to provide a prediction device and method.

[0009]

Means for solving the problem are described as follows. The technical matters corresponding to the claims in the expression are appended with parentheses (), numbers, symbols, and the like. The numbers, symbols, etc. clarify the correspondence / correspondence between the technical matter corresponding to the claim and the technical matter of at least one of the plural forms of implementation. It is not intended to show that technical matters are limited to the technical matters of the embodiments.

A work progress estimating apparatus according to the present invention includes an input section for inputting the number of workers assigned to a target for which work progress is to be predicted, and the number of workers according to at least one of work contents and a work environment. A storage unit that stores data indicating the relationship of the work progress, and a calculation unit that calculates the work progress of the target based on the input number of workers and the data stored in the storage unit. Have.

The work progress prediction method of the present invention comprises the steps of: (a) specifying an object for which work progress is to be predicted (S1);
(B) determining the number of workers to be assigned to the target (S2); and (c) determining a function indicating the relationship between the number of workers and the degree of work progress according to at least one of work content and work environment. Creating (S3); and (d) calculating a work progress degree for the target based on the determined number of workers and the function (S4).

[0012] In the work progress estimation method of the present invention, further (e) reviewing the number of workers to be assigned to the determined object based on the result of the calculation;
(F) calculating a work progress level for the target based on the number of workers reviewed and the function.

[0013] The work progress estimating method of the present invention further comprises: (g) obtaining a surplus capacity for the object based on the calculated work progress degree.

[0014] The work progress estimating method of the present invention further comprises (h) transferring the obtained surplus capacity to an object other than the object.

The work plan study device of the present invention provides a work plan indicating a work amount and a work period, a set basic capability,
An input unit for inputting the set permissible capacity, and determines whether or not the work plan exceeds the basic capacity.As a result of the determination, if the work plan exceeds the basic capacity, the excess Work that determines whether the work plan can be executed when it is determined that the exceeded part does not exceed the allowable capacity as a result of the determination. It has a planning department.

In the work plan reviewing device of the present invention, the permissible capacity is set as the work amount exceeding the basic capacity in the continuous work period.

In the work plan reviewing device of the present invention, the work amount included in the work plan is input to the input unit so as to include a plurality of minimum work units, and the work plan review unit makes the determination. Sometimes, the minimum work unit included in the exceeded part is considered.

The work plan examination method of the present invention comprises the steps of (aa)
Providing a work plan indicating the work amount and work period (S11); (ab) setting the basic capacity and allowable capacity (S12); and (ac) determining whether the work plan exceeds the basic capacity. (S1)
3) and (ad) When the result of the determination indicates that the work plan exceeds the basic capability, it is determined whether or not the excess part exceeds the allowable capability (S15).
And (ae) executing the work plan when it is determined that the excess does not exceed the permissible capacity as a result of the determination (S16).

In the work plan review method of the present invention, the permissible capacity is set as the work amount exceeding the basic capacity in the continuous work period.

In the work plan review method according to the present invention, the work amount included in the work plan is divided into a plurality of minimum work units, and the determination is made in consideration of the minimum work unit included in the exceeded part. Done.

According to the present invention, there is provided a process progress estimating apparatus comprising: a plurality of process models corresponding to a plurality of processes; and a performance data input unit for inputting data indicating actual progress of each of the plurality of processes to the process model. And a calculation unit for performing a simulation based on the process model to which the data indicating the actual progress status is input, and for predicting the progress of the plurality of processes.

The method for estimating the progress of a process according to the present invention comprises the steps of:
Providing a plurality of process models corresponding to a plurality of processes; (bb) inputting data indicating actual progress of each of the plurality of processes into the process model; and (bc) the actual progress. Performing a simulation based on the process model to which the data indicating the situation is input, and predicting the progress of the plurality of processes.

[0023]

DESCRIPTION OF THE PREFERRED EMBODIMENTS One embodiment of the present invention will be described.

The first embodiment will be described with reference to FIG. This embodiment is a work progress prediction device for more accurately predicting the progress of each process. FIG. 1 is a flowchart showing the flow of the operation of the work progress prediction device.

As shown in FIG. 1, a step S1 for specifying an object for which a work progress is to be predicted, a step S2 for specifying the number of workers, and a step S for selecting a work procedure model.
3, a step S4 for calculating the degree of work progress, and a step S5 for totalizing and outputting the calculation results.

FIG. 2 is a table showing a state in which steps S1 and S2 have been performed. The work places A to Z shown in the rows of the table in FIG. 2 indicate the process and the work place specified in step S1. In this case, the work place and the process correspond one-to-one. “Day” shown in the column of the table of FIG. 2 indicates the planned date and time specified in step S1.

As shown in FIG. 2, one worker is continuously assigned to the work place A from the first day to the third day (step S2). As for the work place B, two workers are continuously assigned from the second day to the fourth day. As for the work place C, one worker is assigned to each of the second, fourth, and sixth days. Regarding the work place D, five workers are assigned on the third and fifth days.

FIG. 3 shows a work procedure model used in step S3. In FIG. 3, “10n when the number of people is 1” means that if one person works,
This means that the work progresses by 0 × 1 = 10 (%). "20n when the number of people is two or three" means that when two people work, the work progresses by 20 × 2 = 40 (%) per day, and when three people work, 20 × per day. 3 =
This means that the work progresses by 60%. Similarly, "30n when the number of people is 4 or 5" means that when working with 4 people, the work progresses by 30 × 4 = 120 (%) per day, and when working with 5 people, the work per day , 30 × 5
= 150 (%) means that the work progresses.

As shown in FIG. 3, the amount of work (degree of progress)
Is not necessarily proportional to the number of people. In a case where the space of the work place is small, the work efficiency is not increased in proportion to the number of people because, for example, free movement is hindered by a large number of people. One of the points of the present embodiment is that a “function indicating the relationship between the number of people and the progress according to the work content, the work status, or the work environment” as shown in FIG. 3 is created.

Conventionally, when there is no work procedure model shown in FIG. 3, after steps S1 and S2 are performed as shown in FIG. 2, only a work progress degree proportional to the number of people can be obtained. Was. That is, when the number of people is assigned as shown in FIG. 2, the work amount must be considered to be proportional to the number of people, and the work progress is output as a table shown in FIG. As shown in FIG. 4, when one person works from the first day to the third day with respect to the work place A, work is performed in an amount of 10 per day, and as a result, the work progress rate is changed every day. Are accumulated to 10, 20, and 30%, and as for the work place B, when two people work from the second day to the fourth day, the work amount per person is 20 (the work amount of one person is simply doubled). ) Is performed, and as a result, the work progress is accumulated every day to 20, 40, and 60%. The same applies to work places C and D.

On the other hand, in the present embodiment, the work progress degree is calculated based on the work procedure model shown in FIG. 3 (step S4), and as a result, the tables shown in FIGS. 5 and 6 are obtained.

That is, since one person is assigned to the work place A (see FIG. 2), when calculated based on the work procedure model of FIG. 3, the work progresses by 10 × 1 = 10 (%), and as a result, The progress degree of work place A of 5 is 1
0, 20, and 30%. Since two people are assigned to the work place B, when calculated based on the work procedure model of FIG. 3, the work progresses by 20 × 2 = 40 (%),
As a result, the degree of progress regarding the work place B in FIG.
80 and 100%. On the fourth day of the work place B (the work period is three days), 40 × 3 = 120 (%), but since the work progress cannot exceed 100 (%), it is set to 100 (%). ing. The remaining 20
(%) Indicates that the surplus capacity is 20 as shown in FIG.
(%). Similarly, since five people are assigned to the work place D, 30 × 5 = 150 (%)
In FIG. 5, it is 100 (%) on the work start date. Regarding the work place D, FIG. 6 shows that 50 (%) surplus on the work start date and 150 (%) surplus capacity is generated on the second day of the work.

According to the present embodiment, since the work progress is calculated based on the work procedure model, a more accurate work progress can be predicted as compared with the related art. Based on the more accurate work progress prediction, it is possible to reconsider the assignment of the number of workers (how many days and how many people are to be assigned) in step S2. Further, when the surplus capacity shown in FIG. 6 is known, it is possible to reconsider the assignment of the number of workers in step S2 or to consider transferring the surplus capacity to another work place.

Next, a second embodiment will be described with reference to FIGS.

The second embodiment is proposed with a view to more accurately grasping whether or not a planned work plan is feasible in a manner that matches the actual situation.

As shown in FIG. 7, in the second embodiment,
Step S11 of inputting a process, step S12 of inputting basic ability and allowable ability, step S13 of determining whether or not the basic ability has been exceeded, step S14 of calculating the amount of work that is over, and the overwork The system includes a step S15 for determining whether the amount is within the allowable capacity, a step S16 for proceeding with the work as planned, a step S17 for delaying the plan, and a step S18 for outputting the result.

FIG. 8 is a Gantt chart showing a work plan formulated in the present embodiment. The contents shown in FIG. 8 are input in step S11. As shown in FIG. 8, the work (work content) A has a total work amount of 1000 kg (for example, the transport amount). In the work plan, the work amount is 200 kg per day from the first day to the fifth day. The work will be completed. Similarly, work B is 600k in total
g in the work plan, and the work plan is to finish the work with a work amount of 120 kg per day from the fourth day to the eighth day. Similarly, work C has a total work load of 250 kg, and the work plan is to complete the work with a work load of 50 kg per day from the sixth day to the eleventh day.

Next, in step S12, the basic capacity is set (input) to 300 kg per day, and the allowable capacity is set to 100 kg / day. In step S13, if the amount of work performed per day exceeds 300 kg as the basic ability, it is determined that the basic ability is exceeded. In step S15, if the allowable capacity does not exceed 100 kg for only one day, it is determined that the allowable capacity is within the allowable capacity. If the total for the two consecutive days does not exceed 100 kg, it is determined that the allowable capacity is within the allowable capacity. If the total of the three days does not exceed 100 kg for three consecutive days, it is determined that the capacity is within the allowable capacity.

FIG. 9 shows the amount of work to be performed every day when the work plan shown in FIG. 8 is executed as planned. From the first day to the third day, a work amount of 200 kg per day is performed as work A. On the fourth and fifth days, since the work B is also performed in addition to the work A, the work amount is 320 kg each day. On the sixth day, the work amount of 120 kg is performed only for the work B. On the seventh and eighth days, the work C is also performed in addition to the work B, so that the work amount is 170 kg each day. From the ninth day to the eleventh day, the work amount of 50 kg is performed only as the work C.

In step S13, since each work amount on the fourth and fifth days exceeds 300 kg, it is determined that the basic capacity is exceeded (step S13-Y). As a result, the process proceeds to step S14, and the excess work amount is calculated. In the two consecutive days of the fourth day and the fifth day, 20 × 2 = 40 (kg) is regarded as the overwork amount. In step S15, 40 (kg) is 10
0 (kg) is determined (step S1
5-Y), the process proceeds to step S16, and it is determined that the work can be performed according to the work plan of FIG.

The basic abilities and the permissible abilities are defined, for example, in the labor rules (up to a maximum number of hours including overtime on a daily basis and maximum hours on a weekly basis). Such as).

In this embodiment, the executable work amount includes:
It focuses on the fact that there is a margin, and a single uniform criterion (basic ability) cannot accurately judge the feasibility of a plan. Further, the permissible capacity as the margin is defined as a unit of “kg · day” as a work amount. The permissible capacity is the continuous overwork amount (total)
Should not exceed the set amount (100 kg in this example),
When the day when the basic ability is exceeded is discontinued rather than continuously, the continuous overwork amount is reset.

Conventionally, a single uniform reference (basic capability:
(300 kg per day). As a result, as shown in FIGS. 10 and 11, in the work plan of FIG. 8, since the fourth and fifth days exceed the basic ability, the work B starts from the sixth day. as a result,
The end time of the work B is the tenth day. Assuming that the work C cannot be started until the fourth day from the work start date of the work B as shown in the initial plan of FIG. 8 due to the relation between the work B and the contents of the work. As a result of the shift of the work start date of the work B to the sixth day, the work start date of the work C becomes the ninth day and the work end date of the work C becomes the thirteenth day (the initial plan in FIGS. 8 and 9). Then it ends on day 11.)

As described above, in the past, the plan was immediately delayed if the basic capacity was exceeded, but according to the present embodiment, if the capacity is within the allowable capacity, the plan is executed as planned. Even if the allowable capacity is exceeded, it is sufficient to re-plan within a range that does not exceed the allowable capacity, so that the initial work plan is largely prevented from being significantly revised.

In the example of FIG. 8, the minimum work unit is 200 kg for work A and 120 kg for work B.
The operation C has been described assuming that the weight is 50 kg. less than,
The minimum work unit will be described. Here, it is assumed that the minimum work unit of the work B is 40 kg, and three minimum work units (120 kg) are scheduled to be performed per day.

As a result of step S15, if the continuous overtime on the fourth day and the fifth day becomes 16 permissible capacity (permissible capacity).
Exceeds only 0kg (continuous overwork amount is 260k
Consider the case where g) is determined. Day 4 and 5
On each of the days, work B is scheduled to be performed by 120 kg, and the minimum work unit of work B is one (4
0 kg) on days 4 and 5 respectively.
If the remaining two minimum work units (80 kg) for two days (a total of 160 kg) are allowed to be transferred after the sixth day, the continuous overload on the fourth and fifth days will not exceed the allowable capacity. As described above, by re-planning by adjusting the minimum work unit so as not to exceed the permissible capacity, it is possible to minimize a major review of the original work plan.

Next, a third embodiment will be described with reference to FIGS.

Generally, in a simulator used to predict the work progress, as time passes after the actual work has been performed, data assumed in the simulator before the start of the work and actual work There is an error between the data indicating the progress. The third embodiment intends to input data reflecting the actual work progress after the work is started into the simulator, and to more accurately predict the subsequent work progress.

FIG. 12 is a gun chart showing the work plan of the steps A to C.

As shown in FIG.
Simulation is performed based on three process models 101, 102, and 103 of C. The first process model 101 corresponds to the process A and is a model of a warehouse that is a material loading place. The second process model 102 corresponds to the process B and is a model of a forklift for transporting a product made of the material. The third process model 103 corresponds to the process C and is a model of a lift for transporting a product transported by a forklift.

When the simulation is started based on the setting (forecast) data input to the simulator, the first to third process models 101 to 103 sequentially change over time from FIG. ). The symbol M in the first to third process models 101 to 103 indicates a product in operation.

Here, in the work plan shown in FIG. 12, a case where it is desired to know the work progress status after the fifth day shown by reference numeral S2 will be described. For that purpose, it is necessary to reproduce the simulation situation on the fifth day with a simulator. In this case, conventionally, based on the setting data input to the simulator, an initial time point (reference numeral S1 in FIG. 12) is used.
) Is started, and data at the time corresponding to the fifth day is extracted. As a result, part 5
The simulation situation on the day is reproduced by the simulator. That is, assuming that FIG. 13 (d) corresponds to the situation on the fifth day, the calculation process of FIG. 13 (d) must be performed through the respective calculation processes of FIGS. 13 (b) to 13 (c). No results were obtained.

Further, when the calculation is performed by the simulator based on the setting data as in the conventional case, the simulation situation corresponding to the fifth day is as shown in S2 of FIG. It is assumed that 80% has been completed and the process C has been completed by 10%. On the other hand, in the actual work progress on the fifth day, as shown in FIG. 14, the process A may be completed, the process B may be completed 70%, and the process C may be completed 20%. In some cases, an error may occur between the data (setting data) assumed in the simulator before the start of the work and the data indicating the actual work progress.

On the other hand, in the present embodiment, by inputting the actual work progress on the fifth day into each of the process models 101 to 103, simulation data reflecting the actual progress is obtained. It can be expressed on a simulator.

In this embodiment, as shown in FIG. 15, the actual work progress on the fifth day is reproduced by each of the process models 101 to 103 as follows.

It is assumed that the process A has a work amount of 10 hours, the process B has a work amount of 60 hours, and the process C has a work amount of 30 hours. Each work amount is the process condition,
To the third process models 101 to 103.
That is, in the first process model 101, the output is performed 10 hours after the input of the product M. In the second process model 102, after the product M is input, 60
Output after a lapse of time. Third process model 103
Is output 30 hours after the product M is input.

First, on the simulator, a situation in which the product M is input to each of the input units of the first to third process models 101 to 103 is generated. Arithmetic unit 300
Since the work of the process A has been completed, the product M input to the input unit of the first process model 101 is 10-1.
When 0 × 1 = 0 (time) has elapsed, the setting is made so as to be output from the first process model 101. Similarly, since the operation of the process B is 70% completed,
The product M input to the input unit of the second process model 102 is set to be output from the second process model 102 after 60−60 × 0.7 = 18 (hours). Similarly, the arithmetic unit 300 determines that the work of the process C is 2
0%, the product M input to the input unit of the third process model 103 is 30-30 × 0.2 = 2
After 4 hours, the third process model 103
Set to output from

By setting as described above in the simulator, the actual situation on the fifth day can be accurately reproduced. When it is desired to predict the situation after the fifth day, a highly accurate prediction can be made by starting the simulation calculation from the accurately reproduced situation, that is, from the time point of S2.

In the present invention, all the functions of the first to third embodiments can be realized by one simulation device.

[0060]

According to the present invention, it is possible to accurately predict the progress of each process.

[Brief description of the drawings]

FIG. 1 is a flowchart illustrating a flow of an operation of a work progress prediction device according to a first embodiment of the present invention.

FIG. 2 is a diagram showing the number of workers assigned to each work place in the first embodiment of the present invention.

FIG. 3 is a diagram showing a work procedure model according to the first embodiment of the present invention.

FIG. 4 is a diagram showing a conventional work progress degree.

FIG. 5 is a diagram showing a work progress degree in the first embodiment of the present invention.

FIG. 6 is a diagram illustrating surplus capacity according to the first embodiment of the present invention.

FIG. 7 is a flowchart showing a flow of an operation according to the second embodiment of the present invention.

FIG. 8 is a gun chart showing a work plan drafted in a second embodiment of the present invention.

FIG. 9 is a diagram illustrating an amount of work to be performed every day when a work plan formulated in a second embodiment of the present invention is executed as planned.

FIG. 10 is a gun chart showing that a planned work plan is delayed in the conventional method.

FIG. 11 is a diagram illustrating a work amount to be performed for each day when a planned work is delayed in a conventional method and the delayed plan is executed.

FIG. 12 relates to a third embodiment of the present invention,
It is a gun chart which shows the work plan of each process.

FIGS. 13A to 13D are views showing a flow in a process of calculating each process model according to the third embodiment of the present invention.

FIG. 14 relates to a third embodiment of the present invention,
6 is a gun chart showing a work plan of each process after an actual work has been performed halfway.

FIG. 15 relates to a third embodiment of the present invention,
It is a figure for explaining operation of a simulator which reflected the data of the actual work performed halfway.

[Explanation of symbols]

 101 process model 102 process model 103 process model M product

 ──────────────────────────────────────────────────続 き Continuing on the front page (72) Inventor Ikuo Yamamoto 5-717-1, Fukahori-cho, Nagasaki-shi, Nagasaki Pref. In Nagasaki Research Laboratory, Mitsubishi Heavy Industries, Ltd. (72) Inventor Takashi Kobayashi 1-1-1, Mitsubishi Heavy Industries, Ltd., Kobe Shipyard (72) Inventor Kazuhiro Taketa 4--22, Kannonshinmachi, Nishi-ku, Hiroshima-shi, Hiroshima Mitsubishi Heavy Industries, Ltd. 5-717-1, Fukahori-cho, Nagasaki-shi, Nagasaki Research Institute, Mitsubishi Heavy Industries, Ltd. (72) Inventor Takashi Yoshimura 1-1, Akunouracho, Nagasaki-shi, Nagasaki Mitsubishi Heavy Industries, Ltd. Masahiro No. 1-1 Akunouramachi, Nagasaki City, Nagasaki Prefecture Mitsubishi Heavy Industries, Ltd. Nagasaki Shipyard F-term (reference) 5B049 BB07 CC21 CC32 CC32 EE41

Claims (13)

[Claims] 1. An input unit for inputting the number of workers assigned to an object for which work progress is to be predicted, and a relationship between the number of workers and the degree of work progress according to at least one of work contents and a work environment. A work progress prediction device, comprising: a storage unit for storing data; and a calculation unit for calculating a work progress degree for the target based on the input number of workers and data stored in the storage unit. (A) specifying an object for which work progress is to be predicted; (b) determining the number of workers to be assigned to the object; and (c) at least one of the work content and the work environment. Creating a function indicating the relationship between the number of workers and the degree of work progress in response thereto; and (d) calculating the degree of work progress for the target based on the determined number of workers and the function. And a work progress forecasting method. 3. The work progress estimating method according to claim 2, further comprising: (e) reconsidering the number of workers to be allocated to the determined object based on a result of the calculation;
(F) calculating a degree of work progress for the target based on the number of workers reviewed and the function; 4. The work progress estimating method according to claim 2, further comprising: (g) based on the calculated work progress degree.
A work progress estimating method comprising obtaining surplus capacity for the object. 5. The work progress prediction method according to claim 4, further comprising: (h) transferring the obtained surplus capacity to another target other than the target. 6. An input unit for inputting a work plan indicating a work amount and a work period, a set basic capacity, and a set allowable capacity, and determining whether the work plan exceeds the basic capacity. Judgment, as a result of the judgment, if the work plan exceeds the basic ability, judge whether the exceeded part exceeds the permissible capacity, as a result of the judgment, the excess part is the A work plan reviewing device comprising: a work plan reviewing unit that determines that the work plan is executable when it is determined that the work plan does not exceed the allowable capacity. 7. The work plan study device according to claim 6, wherein the allowable capacity is set as the work amount exceeding the basic capacity in the continuous work period. 8. The work plan review device according to claim 6, wherein the work amount included in the work plan is input to the input unit so as to include a plurality of minimum work units. A work plan examination device that considers the minimum work unit included in the exceeded part when making the determination. (Aa) providing a work plan indicating a work amount and a work period; (ab) setting a basic capacity and a permissible capacity; and (ac) making the work plan exceed the basic capacity. (A)
d) when the result of the determination indicates that the work plan exceeds the basic capability, determining whether or not the excess portion exceeds the allowable capability; and (ae) determining that the excess exceeds the allowable capability. And executing the work plan when it is determined that the part does not exceed the allowable capacity. 10. The work plan study method according to claim 9, wherein the allowable capacity is set as the work amount exceeding the basic ability in the continuous work period. 11. The work plan review method according to claim 9, wherein the work amount included in the work plan is divided into a plurality of minimum work units, and the determination is included in the exceeded part. A work plan study method performed in consideration of the minimum work unit. 12. A plurality of process models corresponding to a plurality of processes, a result data input unit for inputting data indicating an actual progress of each of the plurality of processes to the process model, and A process progress estimating device comprising: a calculation unit that performs a simulation based on the process model to which the indicated data is input and that estimates the progress of the plurality of processes. 13. (ba) providing a plurality of process models corresponding to a plurality of processes; and (bb) inputting data indicating actual progress of each of the plurality of processes to the process model. (Bc) performing a simulation based on the process model to which the data indicating the actual progress has been input, and predicting the progress of the plurality of processes.