JP4817642B2 - Processing man-hour estimation method and apparatus - Google Patents

Description

  BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a processing man-hour estimation method and apparatus for producing products and parts, and in particular, a processing man-hour estimation method and apparatus capable of estimating processing man-hours with accuracy before mass production of products and parts is started. It is about.

The estimation of processing man-hours in the production of products and parts is usually performed as follows.
As shown in FIG. 11, first, an actual operation for manufacturing a similar product is actually measured, and a net man-hour (time required for actual processing) is extracted. Next, this is multiplied by a factor corresponding to the worker's efficiency, ability, etc. (rating) to obtain the standard man-hour. Next, the standard work values are corrected by various coefficients such as efficiency, margin rate, line balance loss rate (waiting when working on the line), and converted into actual work values. Furthermore, the work difference between the product to be estimated and the similar product is converted into a man-hour value based on experience and added / subtracted. This method is premised on the actual measurement of man-hours, and is difficult to apply to estimate the man-hours for products that do not have highly similar products.

Conventionally, various methods and apparatuses for estimating the processing man-hour have been proposed.
For example, in Patent Document 1, a table of work standard man-hours in which work time is defined for each part name is created, and the input part name data is referred to the table data to work on the corresponding part. An assembly process design system that assigns standard man-hours and accumulates man-hours is described.
Further, Patent Document 2 extracts part configuration information and feature information from CAD data stored in a CAD device, and attribute information including assembly information, surface finishing information, dimensional tolerance information, and material information is extracted from these pieces of information. , And a production plan support method, apparatus and system for setting a machining process and setting a man-hour estimate for a part based on this information are described.
JP 2000-117568 A JP 2003-280715 A

If the processing man-hours are estimated based on the actual measurement shown in FIG. 11, the man-hours cannot be estimated unless the similar products are actually mass-produced. In addition, various coefficient corrections such as efficiency, margin rate, and line balance loss rate are not necessarily values that actually represent the actual values, and addition and subtraction are added to the experience values, so the accuracy of the estimated value does not increase.
Note that the man-hour measurement by actual measurement may cause a difference in results depending on the measurement target person and the person to be measured. Although there is a method for correcting this difference, there is a part depending on the subjectivity, and there may be individual differences depending on the measurer.
In addition, because of the learning effect of the operator, the result of measurement depends on the total number of units produced since the start of mass production. Furthermore, even if tools such as a stopwatch or a video camera are used to measure the processing man-hours, it takes a lot of labor to collect a sufficient number of reliable data. It takes a lot of time for aggregation.

In addition, the ones described in Patent Documents 1 and 2 are used to estimate the number of man-hours before starting mass production. The other models are not provided with means for reflecting the coincidence with the actual value, and cannot be accurately estimated.
As described above, conventionally, there has not been proposed a method for accurately estimating the processing man-hours before starting mass production.
The present invention has been made in view of the above circumstances, and the object of the present invention is to estimate the number of processing steps with high accuracy before mass production is started, and to estimate the number of man-hours due to individual differences of the person who performs the estimation. It is to provide a processing man-hour estimation method and apparatus capable of estimating a processing man-hour in a relatively short time without any difference.

In the present invention, for the purpose of accurately calculating the processing man-hours before mass production, the processing man-hours are obtained by calculation without actually measuring the processing man-hours required for manufacturing the target product.
Factors that cause processing man-hours can be considered to consist of work time in an ideal work environment (referred to as reference man-hours) and loss time (excess man-hours) that accompanies the manufacture of the product.
The above-mentioned reference man-hour can be obtained from the basic unit man-hour of the work whose required time has been investigated in advance and the number of occurrences by work type determined from product design or manufacturing method design factors.
In addition, as shown in FIG. 2A, the loss time (excess man-hours) is considered to occur at the same rate with respect to the standard man-hours if the model similarity is high. Accordingly, even when a similar model is manufactured, it can be calculated by obtaining this ratio (this ratio is referred to as the prevailing coefficient) assuming that the loss time occurs at the same ratio with respect to the standard man-hour.
That is, the above-mentioned ratio is obtained by actually measuring the work time that occurs when manufacturing a product with similar factors such as structure and number of units produced, and dividing this actually measured actual man-hour by the reference man-hour when manufacturing the product, , Find the prevailing coefficient.
Then, as shown in FIG. 2B, the processing man-hour required for manufacturing the target product is calculated by “processing man-hour = reference man-hour × actual coefficient”.
Based on the above, in the present invention, the above-described problem is solved as follows.
(1) As shown in FIG. 1, the number of parts for each type divided from the design data of the target product and the number of occurrences of work units independent of parts are extracted, and each basic unit of the work units collected in advance is extracted. The product of the target product is calculated by calculating the product of the number of man-hours and the number of occurrences of the work unit, summing the parts classification and work unit, and adding the work time of common work independent of the model. Calculate the standard man-hours required for
(2) In the above, the parts information used in the target product is collected from the design data of the target product, classified for each part and aggregated for each category, and work that does not depend on the component is also aggregated for each category. And totaling the types of common work that occurs when processing the target product, and based on the counting results for each part and the type and number of the work, the type of work unit required for processing the product, Find the number and register it in the table.
Then, by multiplying each registered work unit number in the table by a basic unit man-hour corresponding to each preset work unit, each part of the target product and a reference man-hour required for the work are calculated.
Further, the target product standard man-hour is obtained by calculating the sum of the above-mentioned parts and work standard man-hours of the product to be estimated.
(3) Next, for the products similar to the above target products, the standard man-hour is obtained in the same manner as described above, the actual man-hours required for actual production are obtained, and the actual manpower is calculated by dividing this actual man-hour by the standard man-hours. Ask.
Then, the processing man-hour of the target product is obtained by multiplying the standard man-hour of the target product by the actual coefficient.

In the present invention, the following effects can be obtained.
(1) Obtain the standard man-hours necessary for the production of the target product, and for the products similar to the target product, obtain the standard man-hours and the actual man-hours required for the actual production. The actual factor is obtained by dividing by the number of man-hours, and by multiplying the standard man-hour of the target product by this actual factor, the processing man-hour at the time of product production is obtained, so the processing man-hours during mass production can be accurately calculated even before mass production. Can be calculated.
(2) Collect the parts information used in the target product from the design data of the target product, categorize it for each part and total it for each category. Aggregate common types of work that occur during processing, determine the type and number of work units required for processing the above products, and the type and number of work units and the basic unit of each preset work unit Since the reference man-hour is obtained based on the man-hour and the machining man-hour is obtained by multiplying the reference man-hour by the above-mentioned actual coefficient, the calculation standard is clear and there are few portions where the subjective judgment of the calculator enters. For this reason, the same result can be obtained regardless of who calculates.
(3) The processing man-hour can be calculated using a personal computer or the like, and the processing man-hour can be calculated in a short time.
(4) Since the processing man-hours can be calculated based on a common standard, it is possible to compare and verify the processing man-hours for a plurality of models.
In addition, since the processing man-hour is calculated by using the design data and referring to the design factor, the design improvement effect can be evaluated by calculating the processing man-hour at the design stage.

FIG. 1 is a diagram for explaining the outline of the present invention.
As shown in the figure, in the present invention, the processing man-hour of a target product (referred to as an estimated model) for calculating the processing man-hour is calculated as follows.
(1) First, parts and work as work breakdown items are determined (once in advance).
In other words, processes that are characteristic in man-hour calculation are classified from the features of mass production work of products. In an example of mass production work of a personal computer, a. Printed board assembly, b. Printed board test, c. FPC (Flexible Printed Circuit Cable) assembly, d. Device assembly, e. Device testing, f. It can be divided into six processes of packing. For each process, parts and operations are determined as breakdown items for integrating the standard man-hours.
(2) The basic unit man-hours for each breakdown item (each element work unit, man-hour value per operation) is investigated (once in advance).
Disassembling the mass production of products, counting from product specifications, and grouping similar items together, and determining the man-hour calculation unit based on experience. Then, for each breakdown item, the element work unit and the work time thereof are investigated, and the work time per one part or work is obtained by actual measurement.
At this time, only the net work is performed, and the one that is completed most smoothly is adopted. If different values are obtained even in the same category work, the minimum value is adopted.

(3) The actual coefficient of similar models is calculated (once periodically).
(i) First, the work time required for manufacturing a similar model is measured (A in FIG. 1).
Measure the production time for each product for models with similar parts configuration and production quantity (called similar models). It is desirable to use an actual measurement device in order to reduce the measurement burden.
The actual measurement method is obtained by recording the start time and completion time for each unit together with the unit data, and totaling the total work time for each unit from the data. Time that is not allocated to each unit from the working hours of the workers is allocated equally to the production units on that day as common operations for each unit.
In addition, since it has been empirically known that even if a simple method is used to some extent, the accuracy is not impaired so much, when working with a line, the work time of the head is multiplied by the number of lines. Value. When working in product lot units, the work time of all employees is allocated equally to the number of products that have been completed.

(ii) Obtain the actual man-hours of similar models (B in Fig. 1).
The actual man-hour is the average value of work time when the target product is mass-produced. The actual man-hours are obtained from the work time measured as described above by the following calculation.
Actual man-hours = (Σ Working time of the product to be measured) ÷ Number of products Here, the work time is the sum of the time spent by the worker to manufacture the product to be measured. It is because it is necessary to make it the sum total. For example, when a plurality of groups work sequentially on the same product as in assembly and testing, the total work time is set.
In order to average the learning effect, an average value of the actual man-hours obtained in this way for 3 to 6 months is obtained.
(iii) Collect design data of similar models (C in FIG. 1).
Collect design data for similar models to calculate the standard man-hours for similar models. The collection of design data will be described later in (4).

(iv) Calculate the standard man-hours for similar models (D in FIG. 1).
A reference man-hour for a similar model is obtained from the design data by a method similar to the calculation of a reference man-hour for an estimated model described later. That is, the parts and operations obtained from the design data are classified. Based on the classification result, the type and number of work units necessary for manufacturing the similar model are obtained, the basic unit man-hour is added, and the work time of common work independent of the model is added to manufacture the similar model. The reference man-hour is calculated.
(v) Calculate the actual coefficient of similar models (E in Fig. 1).
As shown in FIG. 2A, the actual coefficient is a magnification of the actual man-hours with respect to the standard man-hours. In other words, it can be said that the loss time is increased with respect to the ideal work time.
The actual coefficient is calculated by obtaining the values of both the actual man-hours and the standard man-hours as shown in the following formula for similar models that have started mass production.
Actual factor = Actual man-hour ÷ Standard man-hour Here, the man-hour is a value per unit, and the actual man-hour is not always a constant value, so the actual factor is also different for each unit of measurement. Therefore, the average value for a certain period is used.

(4) Collect estimated model design data (F in FIG. 1).
Collect design data for estimated models. The specifications of the product are handed over to the manufacturer in the form of a drawing. In recent years, a considerable part of the drawing has been digitized and can be used as electronic data. Therefore, the part data of the estimated model is downloaded from a design information system such as a CAD system in which the design data is stored.
In addition, other explanatory materials regarding assembly (for example, mounting drawings) are obtained. In addition, an explanation document (for example, a test instruction book) of the test procedure is also obtained.

(5) The number of parts / work of estimated model is totaled (G in FIG. 1).
When the work for manufacturing the target product (estimated model) for man-hour estimation is disassembled, it can be regarded as a set of common work units (for example, screw tightening, connector connection, etc.) independent of the model. In addition, when the number of work units required to manufacture the estimated model is known, the basic man-hours can be calculated by adding the basic units determined by investigation in advance.
Here, if a common work unit is the center of man-hour calculation, it is difficult to see from the design conditions whether or not the work will occur. Since the design information accurately describes the parts and materials to be used, it is convenient to collect work units for each part.
That is, the basic unit man-hour is preferably set in units of parts. In addition, work that occurs independently without depending on parts (for example, cable forming, FPC bending, etc.) is an independent work unit. Furthermore, in manufacturing, work having the same content (for example, transportation, progress management input, etc.) for all products is a unit of work common to all models.
Based on the above, in order to obtain the above unit of work, first, from the design data, information on the parts to be used in the estimated model is collected, and the work that occurs independently of the parts that occur when the estimated model is manufactured is extracted To do.
The parts and operations obtained from the design data as described above are aggregated and automatically classified by the program. Then, based on the classification result, the type and number of work units necessary for manufacturing the estimated model are obtained. Parts that cannot be automatically classified by the program are classified and added manually. Furthermore, each work unit is manually classified and input from assembly materials and test materials.

(6) A standard man-hour is calculated (H in FIG. 1).
When a product with the same specification is manufactured multiple times, the observable working time is not always a constant value. Here, the working time under ideal conditions that eliminates these variations in observation time is referred to as the standard man-hour. That is, the standard man-hour refers to the work time per product when a skilled worker continuously works using a member that does not become a defective product under the existing equipment conditions.
Here, when the number of work units required for manufacturing the target product for man-hour estimation is known, the basic man-hours can be calculated by integrating the basic units that have been investigated and determined in advance.
That is, the reference man-hour is calculated by the following formula from the type and number of work units and the preset basic unit man-hour.
Standard man-hour = Σ {(occurrence number of each element work unit) × (each basic unit man-hour)}

(7) The processing man-hour is calculated (I in FIG. 1).
The machining man-hours of the estimated model can be calculated as the product of the standard man-hour and a coefficient (actual coefficient) representing a certain additional amount with respect to the standard man-hour. That is, from the standard man-hour of the estimated model obtained in the above (6) and the actual coefficient obtained in the above (3), as shown in FIG. calculate.
Processing man-hour = standard man-hour × actual coefficient (8) The processing man-hours of the divided processes are added together.
In the example of a personal computer, the above operations are performed for the above six steps, and the total value is set as the processing man-hour of the estimated model.

Next, specific examples of the present invention will be described.
FIG. 3 is a flowchart showing the flow of processing man-hour estimation processing according to the embodiment of the present invention.
In the present embodiment, the processing man-hour is estimated as follows. The following processing can be performed automatically by a program basically using a personal computer, etc., except for adding classification symbols to items that cannot be automatically classified, and actually measuring the working time.
(1) Collection of estimated model design data Downloads a parts table or the like constituting a model (estimated model) to be estimated from a design information system 1 such as a CAD system, and extracts a necessary part. Then, the part number, product name, quantity, etc. are stored in the model data file 2.
In addition, as will be described later, there are some that cannot be automatically classified, so a parts table or the like is printed as necessary. Note that design data that has not been digitized may be stored in the data file 2 by manual input, for example. FIG. 4 shows an example of device part data extracted from the design data, and FIG. 5 shows an example of printed board part data.

(2) Classification of Estimated Model Parts and Work Classification The part data stored in the model data file 2 is automatically classified with reference to the part classification master file 3 and stored in the classification result storage file 4. For those that cannot be automatically classified, a classification symbol is manually input while looking at the printed design data and stored in the classification result storage file 4.
Here, since parts with the same drawing number are often used in common in printed board assembly, once classified data is stored as a master, and the classification is determined with reference to a new classification. To do. In addition, it is rare to use parts with the same drawing number for parts in equipment assembly, but since there are consistent rules for part naming, register the part name as a master and refer to it when classifying a new one. To determine the classification.
FIG. 6 shows an example of the component classification master file 3. As shown in the figure, the part classification master file 2 is registered with a part name, a figure number, a type, a classification, and the like.
In the automatic classification process, an automated program is used to efficiently realize the classification work. That is, the component classification master file 3 is referred to, and the component data stored in the model data file 2 is automatically classified for components that match the master.
In addition, parts that do not match when compared with the master are input from the keyboard by the estimater separately classified according to the judgment material, and the classification of all points is completed. The classified part data is displayed for confirmation and is totaled for each classification destination.
FIG. 7 shows an example of classification result data stored in the classification result storage file 4. In addition, this example illustrates a part of the classification result for the device assembly illustrated in FIG.

FIG. 8 shows a flowchart of the automatic classification process.
In FIG. 8, the part data downloaded from the design information system 1 is stored in the model data file 2 and the first part data is read from this file 2 to determine whether it is after the final data. To do.
If NO in the determination as to whether the part data is behind the final data, there is part data to be determined, so the first data of the master data in the classification master file 3 is read.
It is determined whether or not the master data is behind the final data. If YES, it is determined that there is no match with the master data, the classification is impossible, and the process proceeds to the next part data without entering the classification symbol. If NO in the determination of whether the master data is behind the final data, it is determined whether the component data matches the master data condition.
If the part data matches the condition of the master data, it is processed as being classifiable, the classification identification data defined in advance in the master is added to the part data, and the process moves to the process of reading the next part data. If the part data does not match the master data condition, the process proceeds to reading the next master data. Here, as a method for determining that the component data matches the master data, the determination item and the character width described in the master data and the item 1 and the item 2 are read, and the data of the item specified as the determination item (for example, If the data of the character width designated from the first character of the item 1 figure number) matches that of the master data, it is determined that the data matches the master.
In this way, all the component data is classified according to the master data conditions and stored in the classification result storage file 4.
Parts that cannot be automatically classified are classified manually by referring to, for example, a mounting diagram other than the parts table, and added to the data by inputting a classification symbol. For work items and common work, the number of occurrences is manually input. When all parts specified in the design drawing are classified, the classification results are totaled by type, and the number of repetitions for each element is obtained.

(3) Calculation of the standard man-hour of the estimated model Based on the classification result data classified as described above and the basic unit man-hour storage file 5 in which the basic unit man-hour value for each operation prepared in advance is set as described above. Thus, the standard man-hour is calculated.
FIG. 9 shows an example of the basic unit man-hour storage file 5. As shown in the figure, the basic unit man-hour storage file 5 stores basic unit man-hours corresponding to the type and classification of the classification result data. The classification result data shown in FIG. From the basic unit man-hour stored in the man-hour storage file 5, the standard man-hour is calculated by the following formula.
Standard man-hour = Σ {(occurrence number of each element work unit) × (each basic unit man-hour)}
The reference man-hour obtained as described above is stored in the reference man-hour storage file 6. FIG. 10 shows an example of the standard man-hour obtained for the device assembly.

(4) Calculation of the actual coefficient As described above, the standard man-hour is obtained for the estimated model, and the actual coefficient is obtained for a model similar to the estimated model as follows.
(i) Actual measurement of work time and calculation of actual man-hours As described above, the work time of mass production work is measured for each product for a model similar to the estimated model (referred to as a similar model).
More specifically, when the product is operated, the start time and end time are recorded along with the date and the number of all units. For example, when a handheld terminal is used to start or complete the work of a product unit, it is input to the handheld terminal, and all the input data is collected to calculate the actual time. At this time, the end time may be the start time of the next unit if the work is recorded without interruption including interruption.
In addition, when all n groups work on the same product one by one, one representative of the group records the time, and it is considered that everyone worked for the same time, n times the recorded time. And Furthermore, when m products having the same specification are continuously operated, m devices are handled as one lot, and one device may be the average time.
Therefore, the working time is obtained by the following calculation. This work time is stored in the work time storage file 7.
Work time = {Σ (end time−start time) × n} ÷ m
Where n: number of groups, m: number of lots

  The actual man-hour is obtained by obtaining the average value of the above work hours. This average value is calculated by performing the following formulas (1) and (2) every day. This calculation is performed by sending data to a general-purpose computer.

Here, calculating the model-specific average value may produce a product whose specifications have been changed even for one model, and in that case, the average number tends to be smaller by drawing number. Furthermore, this is to prevent the result that the increase / decrease in the work and the change in the actual man-hours are not proportional due to the mixture of sudden factors.
The actual man-hour may be different for each measurement due to several causes. Therefore, the actual man-hour is measured for a certain period, for example, one month, and the average value is obtained. Therefore, for example, work time is measured every day and data is stored. The actual man-hours obtained as described above are stored in the actual man-hour storage file 8 shown in FIG.

(ii) Calculation of standard man-hours For similar models, as described above, the design data is read from the design information system 1 ', and the parts and operations obtained from the design data are classified in the same way as the standard man-hours are obtained from the estimated model. And then aggregate. Then, based on the classification result, the type and number of work units necessary for manufacturing the similar model are obtained, the basic unit man-hours are integrated, and the reference man-hour when the similar model is manufactured is calculated. This reference man-hour data is stored in the reference man-hour storage file 9.
(iii) Calculation of the actual coefficient The actual coefficient is calculated as described above from the actual man-hours (average value for each model) of the similar model obtained in (i) above and the standard man-hour of the similar model obtained in (ii) above. .
The actual coefficient of each model calculated as described above is stored in the actual coefficient storage file 10. The actual coefficient calculated as described above was approximately 1.3 to 1.5 in the mass production work of personal computers.

(5) Calculation of processing man-hours for the estimated model Based on the standard man-hours for the estimated model calculated in (3) above and the actual factor of the model similar to the estimated model calculated in (4) above, the estimated model Calculate the processing man-hours. This process is performed for each process, and the total man-hours for the estimated model can be obtained by adding them up.
This calculation result is stored in the estimated model machining man-hour storage file 11 and printed out as necessary.

It is a figure which shows the outline | summary of this invention. It is a figure explaining calculation of an actual coefficient and processing man-hours. It is a figure which shows the flowchart of the process man-hour estimation of the Example of this invention. It is a figure which shows the example of the apparatus component data extracted from design data. It is a figure which shows the example of the printed circuit board component data extracted from the design data. It is a figure which shows an example of a component classification master file. It is a figure which shows the example of classification result data. It is a figure which shows the flowchart of an automatic classification process. It is a figure which shows an example of a basic unit table. It is a figure showing an example of standard man-hours. It is a figure which shows the conventional processing man-hour estimation method.

Explanation of symbols

1, 1 'design information system 2 Model data file 3 Parts classification master file 4 Classification result storage file 5 Basic unit man-hour storage file 6 Standard man-hour storage file 7 Working time storage file 8 Actual man-hour storage file 9 Standard man-hour storage file 10 Actual coefficient Storage file 11 Estimated model machining man-hours storage file

Claims (4)

A method for estimating the number of processing steps for estimating the number of processing steps required to manufacture a product that is not mass-produced based on design data,
From the design data of the target product, collect the parts used in the target product, classify them for each type of parts, and add up for each type of parts. , Total work common to all products such as transportation, progress management input, etc. that occur during the manufacture of the above target products,
Based on the total result for each part, the total result of work independent of parts, and the common work type and number, the type and number of work units required for processing the product are obtained and registered in the table. Steps,
Calculate the product of the number of occurrences of work units registered in the above table and the basic unit man-hours of each work unit set in advance , and work that has the same contents for all products such as transportation and progress management input. A step of obtaining a standard man-hour required for manufacturing the target product by adding the working time of
For a product similar to the target product, obtaining the standard man-hour in the same manner as described above, and obtaining the actual man-hour required for actual production;
By calculating the actual coefficient by dividing the actual man-hours of the similar products by the standard man-hours,
A processing man-hour estimation method comprising the step of obtaining the processing man-hour of the target product by multiplying the standard man-hour of the target product by the actual coefficient. The number of basic parts man-hours corresponding to each unit is the same number of work items that are the same for all products such as the number of each classified part and each work unit registered in the above table , and transportation, progress management input, etc. 2. The method for estimating a processing man-hour according to claim 1, wherein a reference man-hour required for manufacturing the target product is obtained by multiplication. Based on design data, it is a processing man-hour estimation device that estimates the processing man-hours required to manufacture products that are not mass-produced.
From the design data of the target product, collect the parts used in the target product, classify them for each type of parts, and add up for each type of parts. , Total work common to all products such as transportation, progress management input, etc. that occur during the manufacture of the above target products,
Based on the total result for each part, the total result of work independent of parts, and the common work type and number, the type and number of work units required for processing the product are obtained and registered in the table. Design data extraction means;
Calculate the product of the number of occurrences of work units registered in the above table and the basic unit man-hours of each work unit set in advance , and work that has the same contents for all products such as transportation and progress management input. A standard man-hour calculating means for obtaining a standard man-hour required for manufacturing the target product, by adding
For the products similar to the above target products, calculate the standard man-hours in the same way as above, determine the actual man-hours required for actual production, and calculate the actual coefficient by dividing the actual man-hours of the similar products by the standard man-hours Actual coefficient calculation means;
A processing man-hour estimation device comprising processing man-hour calculating means for determining the processing man-hour of the target product by multiplying the standard man-hour of the target product by the actual factor. Based on design data, it is a processing man-hour estimation program that estimates the processing man-hours required to manufacture products that are not mass-produced.
The above program collects the parts used in the target product from the design data of the target product, classifies them for each type of part, aggregates them for each type of part, and calculates the type and number of operations that do not depend on the part. And, further, total work common to all products, such as transportation, progress management input, etc. that occur during the manufacture of the above target products,
Based on the total result for each part, the total result of work independent of parts, and the common work type and number, the type and number of work units required for processing the product are obtained and registered in the table. Processing,
Calculate the product of the number of occurrences of work units registered in the above table and the basic unit man-hours of each work unit set in advance , and work that has the same contents for all products such as transportation and progress management input. By adding the work time of the above, a process for obtaining a standard man-hour required for manufacturing the target product,
For a product similar to the target product, a process for obtaining a standard man-hour in the same manner as described above and obtaining an actual man-hour required for actual production;
By dividing the actual man-hours of the similar products by the standard man-hours,
A processing man-hour estimation program for causing a computer to execute processing for obtaining the processing man-hour of the target product by multiplying the standard man-hour of the target product by the actual factor.

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