JP2004246628A - Standard time calculation device, standard time calculation method used for it and its program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a standard time calculation device capable of accurately estimating standard time (resource constraint time). <P>SOLUTION: An actual performance data analyzing means 21 receives actual performance data in a production line from an input device 1, and calculates its operation time from information of an operation start date and time and operation end date and time in the received operation actual performance data in accordance with property information of an operation process of a parameter storing part 31. The actual performance data analyzing means 21 sorts these times according to the property information of the operation process of the parameter storing part 31 and stores them in an analyzed actual performance data storing part 32. A standard time estimating means 22 reads analyzed actual performance data from the analyzed actual performance data storing part 32 and the analyzed actual performance data read are statistically processed according to the property information of the operation process of the parameter storing part 31 and the standard time is calculated. <P>COPYRIGHT: (C)2004,JPO&NCIPI

Description

[0001]
TECHNICAL FIELD OF THE INVENTION
The present invention relates to a standard time calculation device, a standard time calculation method used therefor, and a program therefor, and more particularly to a standard time calculation method used for a production line simulation or the like.
[0002]
[Prior art]
Conventionally, when a simulation of a production line is used, a model of an actual line is performed, but parameters set in the model are determined by a setter based on experience or estimation, or collected actual results. A method of determining a parameter by calculating a parameter using data is known.
[0003]
Here, as one of the parameters, a time required for processing in each manufacturing process of the manufacturing line, a time required for preparation of the process, a time for restraining the manufacturing equipment, tools and workers, and after the completion of the work in each manufacturing process. The time required for transporting the product to the next step, the time required for moving tools and workers, and the like are important. These times are generally referred to as “standard time”.
[0004]
When performing a production line simulation, when a product is processed in a certain manufacturing facility, the value of how long the product is bound to the manufacturing facility, that is, the "standard time", the reliability of the simulation result Greatly influences Since the “standard time” greatly affects the reliability of the simulation result, it is also called “evaluation value” in the simulation.
[0005]
The "standard time", which is the evaluation value, greatly varies depending on the processing conditions, the amount of the product, and the like, and is determined or determined by the above-described method based on the time-series information of events actually occurring in the factory in the past. It is calculated and set as one of the parameters in the production line simulation. Such a determination or calculation method assumes the average value, the maximum value, the minimum value, the median value, the mode value, the variance, or any combination of the actual data, or the value obtained by the above method and the normal distribution. It uses fluctuations.
[0006]
In the above-described manufacturing line simulator, the following method is used to calculate the parameter evaluation value (standard time of processing time in a certain manufacturing facility in a certain processing step of a certain product) in accordance with actual data with high reliability. A method has been proposed.
[0007]
That is, in this method, a processing time of a certain product in a certain processing step in a certain manufacturing facility is calculated from an event reported from each manufacturing facility in a manufacturing line, and an evaluation value is calculated from the calculated data. As an example of this evaluation value calculation, the stored data is sorted in order of value, a first median is obtained from the sorted result, and data in which the absolute value of the difference from the first median is smaller is detected. , A section in which the number of detected data exceeds half of the total number of data is determined.
[0008]
A new second median value of the data in the set section is obtained, a difference between the second median value and the first median value is compared with a reference value, and the second median value can be regarded as an evaluation value. Determine whether or not. As a result, an evaluation value that better reflects the distribution state of the raw data can be obtained (for example, see Patent Document 1).
[0009]
[Patent Document 1]
JP-A-2000-35817 (pages 12, 13; FIG. 3)
[0010]
[Problems to be solved by the invention]
In the conventional method for calculating the standard time described above, recipe information and devices are classified based on the time from the work start time to the work end time, and the standard time is calculated. The standard time is calculated without distinction from the restraint time.
[0011]
In the conventional method for calculating the standard time, the time is not included from the work start time to the work end time, but the time for constraining resources is not taken into account. Is often not feasible.
[0012]
Further, in the conventional method for calculating the standard time, an accurate standard time cannot be obtained for a device that cannot accurately obtain the work start time or a device that cannot accurately obtain the work end time.
[0013]
Therefore, an object of the present invention is to solve the above problems and to provide a standard time calculation device capable of accurately estimating a standard time (resource constrained time), a standard time calculation method used therefor, and a program therefor. .
[0014]
[Means for Solving the Problems]
A standard time calculation device according to the present invention is a standard time calculation device that calculates a standard time based on actual operation data on a production line,
There is provided calculating means for calculating the standard time from the time during which no work is performed on the production line and the work result data.
[0015]
The standard time calculation method according to the present invention is a standard time calculation method for calculating a standard time based on work result data on a production line, and the standard time calculation method is based on the time during which no work is performed on the production line and the work result data. The method includes calculating time.
[0016]
The program of the standard time calculation method according to the present invention is a program of the standard time calculation method for calculating the standard time based on the actual operation data on the production line, and the computer outputs the time when the work is not performed on the production line and the time. A process for calculating the standard time from the work result data is executed.
[0017]
That is, the standard time calculation device of the present invention provides a configuration capable of calculating a highly accurate standard time in a device for calculating the standard time based on the actual data of the production line.
[0018]
More specifically, in the standard time calculation device of the present invention, the parameter storage unit stores the characteristic information of the work process, the performance data analysis means receives the work performance data in the manufacturing line from the input device, and receives the data. The work time is calculated from the work start date and time information and the work end date and time information in the work result data.
[0019]
In this case, the performance data analysis unit determines the time (T0) from the work start date and time to the work end date and time from the work start date and time according to the characteristic information of the work process stored in the parameter storage unit. The time from the work start date and time (T1), the time from the work end date and time to the work end date and time of the previous work on the same resource (T2), and the time from the end work date and time to the work start date and time on the same resource ( Td). Then, the performance data analysis means classifies these times according to the characteristic information of the work process stored in the parameter storage unit, and records it in the analyzed performance data storage unit.
[0020]
The standard time estimating means reads the analyzed result data from the analyzed result data storage unit and converts the read analyzed result data (T0, T1, T2, Td) into the characteristic information of the work process stored in the parameter storage unit. Therefore, statistical processing is performed to calculate a standard time. Thereby, the standard time calculation device of the present invention can improve the calculation accuracy of the standard time.
[0021]
BEST MODE FOR CARRYING OUT THE INVENTION
Next, embodiments of the present invention will be described with reference to the drawings. FIG. 1 is a block diagram showing a configuration of a standard time calculation device according to one embodiment of the present invention. In FIG. 1, a standard time calculating device according to an embodiment of the present invention includes an input device 1 such as a keyboard, a data processing device 2 operated by program control, a storage device 3 for storing information, a display device, a printing device, and the like. And an output device 4.
[0022]
The data processing device 2 includes a performance data analysis unit 21 and a standard time estimation unit 22. The storage device 3 includes a parameter storage unit 31, an analyzed performance data storage unit 32, and a program storage unit 33. I have. Here, the program storage unit 33 stores a program (a computer-executable program) that operates on the data processing device 2.
[0023]
The parameter storage unit 31 stores the characteristic information of the work process. The performance data analysis unit 21 receives the performance data in the manufacturing line from the input device 1, and stores the information of the work start date and time in the received performance data. The work time is calculated from the work end date and time information.
[0024]
In this case, the performance data analysis unit 21 determines the time (T0) from the work start date and time to the work end date and time from the work start date and time in the same resource based on the characteristic information of the work process stored in the parameter storage unit 31. The time (T1) from the work end date and time to the work end date and time of the previous work on the same resource (T2), and the time from the end date and time to the work start date and time of the previous work on the same resource. The time (Td) is calculated. Then, the performance data analysis unit 21 classifies these times according to the characteristic information of the work process stored in the parameter storage unit 31 and records it in the analyzed performance data storage unit 32.
[0025]
The standard time estimating means 22 reads the analyzed result data from the analyzed result data storage unit 32 and stores the read analyzed result data (T0, T1, T2, Td) in the work process stored in the parameter storage unit 31. Statistical processing is performed according to the characteristic information to calculate a standard time. As a result, the standard time calculation device according to one embodiment of the present invention can improve the calculation accuracy of the standard time.
[0026]
The parameter storage unit 31 stores in advance characteristic information of a work process using a processing device, a process condition, a process, a type of a processed product, and the like as keys. The features of the work process include standard time classification information, and information such as whether work start time is trusted, work end time is trusted, or both are reliable.
[0027]
2 to 5 are diagrams showing specific examples of the operation of the standard time calculation device according to one embodiment of the present invention, and FIGS. 6 to 9 are work times in the operation of the standard time calculation device according to one embodiment of the present invention. FIG. 9 is a diagram illustrating a specific example of calculation.
[0028]
In FIG. 2, the parameter information includes classification key information 1, classification key information 2, classification information, and a standard time calculation pattern. The classification key information 1 includes a device (“WS01”, “WS02”, “WS03”, “WS04”, “WS05”, “WS06”, “WS07”, “WS08”, etc.) and a device group (“WSG1”, “WS08”). WSG2 "," WSG3 "," WSG4 ", etc.).
[0029]
The classification key information 2 includes recipe information (“RecipeA”, “RecipeB”, “RecipeC”, “RecipeD”, “RecipeE”, “RecipeF”, “RecipeG”, “RecipeH”, etc.) and recipe category 1 (“RG1”). , "RG2", "RG3", etc.) and recipe category 2 ("RG1,""RG4", etc.).
[0030]
The classification information includes a device group (“WSG1”, “WSG2”, etc.), an object (“T0”, “T1”, “T2”, “Td”, etc.), and a classification key (“recipe category 1”, “previous work”). Recipe category 1 "," Next work recipe category 1 "," Combination of previous and next recipe categories 1 "," Recipe "," Previous work recipe "," Next work recipe "," Match mismatch between previous and next recipe categories 2 ", etc. ) And standard time calculation patterns (“pattern 2”, “pattern 0”, etc.).
[0031]
The standard time calculation pattern is the device (“pattern 0”, “pattern 1”, “pattern 2”, “pattern 3”, etc.) and the standard time calculation pattern (“residence time of product = T0, constraint time of resource = T0 + Td”). , “Product stay time = T0, resource constraint time = T1”, “product stay time = T0, resource constraint time = T2”, “automatic determination of optimal pattern from patterns 0 to 2”, etc.) It is configured.
[0032]
In FIG. 3, the actual result data includes an apparatus (“WS01”, etc.), a process (“Step13”, “Step5”, “Step19”, “Step2”, etc.) and an operator (“Operator1,” “Operator2, etc.”). , Recipe information (“RecipeA”, “RecipeB”, “RecipeC”, etc.) and work start date and time (“9/1 7:00”, “9/1 8:30”, “9/1 9:30”, "9/1 10:50", etc., and the work end date and time ("9/1 8:00", "9/1 9:15", "9/1 10:30", "9/1 11:30" ) Etc.).
[0033]
4 (a) shows the result data read first, FIG. 4 (b) shows the result data read second, FIG. 5 (a) shows the result data read third, FIG. 5B shows the result data read fourth. The operation of the standard time calculation device according to one embodiment of the present invention will be described with reference to FIGS.
[0034]
FIGS. 2 and 3 show an example in which the operation time is classified by a device group and a recipe in which a plurality of devices are bundled, a recipe category in which a device group and a plurality of recipes are bundled, or a combination of the device group and the recipe category. Show. In FIGS. 2 and 3, whether the work start time, the work end time, or both are trusted is retained for each device group and work time to be estimated. Is also an example.
[0035]
The data processing device 2 includes performance data analysis means 21 and standard time estimation means 22. The performance data analysis means 21 provides information on the work start date and time in the work performance data in the production line given from the input device 1. The work time is calculated from the information of the work end date and time.
[0036]
As shown in FIGS. 4 and 5, the actual data analysis means 21 calculates 1) the time (T0) from the work start date and time to the work end date and time, and 2) the work start date and time of the next work on the same resource from the work start date and time. 3) the time from the work end date and time to the work end date and time of the previous work on the same resource (T2); and 4) the work from the work end date and time to the work start date and time of the previous work on the same resource. Calculate four working times with time (Td). Resources include devices, workers, tools and the like.
[0037]
When the work start date and time of the previous work is earlier than the work end date and time of the previous work in the same resource, the time (Td) from the work end date and time to the work start date and time of the previous work is negative as shown in FIG. Is calculated. When a plurality of products are worked together, they are treated as one work (see FIGS. 8 and 9).
[0038]
The method of determining whether or not a task is a batch operation is a method in which the work start date and time and the work end date and time that are within a certain period of time are treated as one work. How to treat something below a certain percentage as one work ". The “constant time” and the “constant rate” used for the determination of the batch work are stored in advance in the parameter storage unit 31 as one of the characteristic information of the work process.
[0039]
The performance data analysis means 21 classifies these four work times (T0, T1, T2, Td) in accordance with the characteristic information of the work process stored in the parameter storage unit 31, and records them in the analyzed performance data storage unit 32. . The classification method includes classification by a processing device or a group of a plurality of processing devices, classification by a part or group of recipe information or recipe information of a work process, classification by an operator or a work group, and the like. In addition, there is a method of classifying according to a set of processing devices, recipe information, workers, etc. of the preceding and following work.
[0040]
In the case of the examples shown in FIGS. 2 and 3, the work time is classified according to a device group and a recipe in which some devices are bundled, a recipe category in which a device group and a plurality of recipes are bundled, or a combination of the device group and the recipe category. You. 2 and 3 show an example in which these classification methods are designated for each device group.
[0041]
The standard time estimating means 22 reads time information such as T0, T1, T2, and Td classified and stored in the analyzed result data storage unit 32 and performs statistical processing to estimate the most reliable time for each classification. I do. This estimation method includes a method of taking an arithmetic average, a method of taking a median value, a method of taking a mode value, and a method of taking an average of values excluding a certain percentage as an upper limit or a lower limit.
[0042]
The standard time estimating means 22 uses the estimated values of time such as T0, T1, T2, Td, etc. calculated for each classification as described above, based on the work start date and time stored in the parameter storage unit 31 in advance, or Assemble the standard time according to whether you trust the work end time or both.
[0043]
As an example of a method of assembling the standard time, when the work start date and time are trusted, the “estimated value of T0” is set as the stay time of the product, and the “estimated value of T1” is set as the constraint time of the resource of the device or the worker. When the end date and time are trusted, the "estimated value of T0" is the stay time of the product, and the "estimated value of T2" is the constraint time of the resource. There is a method in which the “value” is the stay time of the product and the “estimated value of T0 + estimated value of Td” is the resource constraint time.
[0044]
Whether to trust the work start date and time, or the work end date and time, or both, may be used as the estimation target. In this estimation method, the reliability of the estimated value of each of the classified work times (T0, T1, T2, Td) is calculated, and based on the value, the reliability of the combination thereof is calculated. There is a way to select the highest assembly method.
[0045]
The method of measuring the reliability of the estimated value of each work time (T0, T1, T2, Td) includes a method based on a standard deviation and a variance, a method based on a local variance around the estimated value, and a certain percentage from the bottom. There are a method based on a width from a certain value to a value having a certain fixed ratio from a higher value, a method based on a half width, a method based on information statistics, and the like.
[0046]
FIG. 10 is a flowchart showing the operation of the standard time calculation device according to one embodiment of the present invention. The operation of the standard time calculation device according to one embodiment of the present invention will be described with reference to FIGS. Note that the processing illustrated in FIG. 10 is realized by each unit of the data processing device 2 executing a program in the program storage unit 33.
[0047]
First, in the standard time calculating device according to one embodiment of the present invention, the storage device 3 is initialized (step S1 in FIG. 10), and the work result data provided from the input device 1 is supplied to the result data analysis means 21. The performance data analysis means 21 reads the performance data in the production line given from the input device 1 for each record (step S2 in FIG. 10).
[0048]
If the reading of the work result data is not completed (step S3 in FIG. 10), the result data analysis unit 21 performs a parameter search (step S4 in FIG. 10) and refers to the previous work information on the same resource (step S5 in FIG. 10). Then, the operation time (T0, T1, T2, Td) is calculated (step S6 in FIG. 10).
[0049]
As shown in FIG. 6, the work time is the same as the time from the work start date and time to the work end date and time (T0) and the time from the work start date and time to the work start date and time of the next work on the same resource (T1). The time (T2) from the work end date and time of the previous work on the resource to the work end date and time, and the time (Td) from the work end date and time of the previous work on the same resource to the work start date and time are calculated.
[0050]
If the work start date / time of the previous work is earlier than the work end date / time of the previous work in the same resource, the time (Td) from the work end date / time of the previous work to the work start date / time is calculated as a negative time (FIG. 7). When a plurality of products are worked together, they are treated as one work (see FIGS. 8 and 9).
[0051]
There are two methods for determining whether a task is a batch operation: “A method in which the work start date and time and work end date and time are within a certain period of time as one work” and “The work start date and time and work end date and time are And how to treat work that is below a certain percentage as one work ".
[0052]
Further, parameters such as “constant time” and “constant ratio” used for the determination of the batch work may be stored in the parameter storage unit 31 in advance as one of the characteristic information of the work process. The calculated operation time is classified according to the classification key information stored in the parameter storage unit 31 (step S7 in FIG. 10), recorded as analyzed result data (step S8 in FIG. 10), and the read operation result data is It is recorded as work information (step S9 in FIG. 10).
[0053]
FIG. 2 shows an example in which work times are classified according to a device group and a recipe in which a plurality of devices are bundled, a recipe category in which a device group and a plurality of recipes are bundled, or a combination of a device group and a recipe category. FIG. 3 shows an example of the input result data. Based on the parameter information shown in FIG. 2, the transition of the contents of the analyzed result data storage unit 32 when the result data shown in FIG. 3 is input is shown in FIGS. 4 (a) and 4 (b) and FIGS. It is shown in (b).
[0054]
First, when the first record of the performance data shown in FIG. 3 is read, the state of the analyzed performance data after performing the processes of steps S2 to S9 is shown in FIG. When the first record of the performance data is read, since the previous work is unknown, only “T0” is calculated. According to the classification key information shown in FIG. 2, the working device “WS01” belongs to the device group “WSG1”. “T0” of the device group “WSG1” is classified according to the recipe category 1 of the work.
[0055]
Since the recipe of the operation is “RecipeA” and the recipe category 1 of the recipe “RecipeA” is “RG1”, it is registered in the analyzed result data as the operation time of the device group “WSG1” and the recipe category “RG1”. . Then, the read result data of the first record is recorded as previous work information.
[0056]
Next, when the second record of the performance data shown in FIG. 3 is read, the state of the analyzed performance data after performing the processing of steps S2 to S9 is shown in FIG. When the second record of the result data is read, there is previous work information, so not only “T0” but also “T1,” “T2,” and “Td” are calculated.
[0057]
According to the classification information shown in FIG. 2, “T1” corresponds to the device group “WSG1” and the recipe category “RG1”, and “T0” and “T2” correspond to the device group “WSG1” and the recipe category “RG2” to the “Td”. Are registered in the device group “WSG1” and the “combination of recipe categories [RG4, RG1]”, respectively. Then, the read result data of the second record is recorded as previous work information.
[0058]
In addition, the classification method includes classification by a processing device or a group of a plurality of processing devices, recipe information of a work process or a part of the recipe information or a group thereof, classification by an operator or a work group, and the like. In addition, there is a method of classifying according to a set of processing devices, recipe information, workers, etc. of the preceding and following work.
[0059]
The performance data analysis unit 21 repeats steps S2 to S9 until all records have been read. In this way, by repeating the processing of steps S2 to S9, the work time is calculated for all the result data, and registered as the analyzed result data.
[0060]
The analyzed result data analyzed by the result data analysis unit 21 and stored in the analyzed result data storage unit 32 is referred to by the standard time estimation unit 22. First, the standard time estimating means 22 extracts work time data such as “T0”, “T1”, “T2”, “Td” classified and stored in the analyzed result data storage unit 32 for each classification (FIG. 10 steps S10).
[0061]
Next, the standard time estimating means 22 acquires the characteristic information of the work process stored in the parameter storage unit 31 (step S12 in FIG. 10), statistically processes the acquired work time data, and is the most reliable for each classification. The value is calculated as the estimated work time (step S13 in FIG. 10). This estimation method includes a method of taking an arithmetic average, a method of taking a median value, a method of taking a mode value, and a method of taking an average of values excluding a certain percentage as an upper limit or a lower limit. Further, information on which estimation method is applied may be stored in the parameter storage unit 31, and the estimation method may be selected according to the information.
[0062]
The standard time estimating means 22 calculates the standard time by combining the calculated work time estimated values in accordance with the combination method stored in the parameter storage section 31 in advance (step S14 in FIG. 10). As an example of the combination method, there is a method in which “estimated value of T0” is a stay time of a product, and “estimated value of T0 + estimated value of Td” is a constraint time of a device or a resource such as an operator.
[0063]
As another example of the combination method, there is a method in which the “estimated value of T0” is the stay time of the product, and the “estimated value of T1 or the estimated value of T2” is the constraint time of the resource. Further, the optimal combination of “T0”, “T1”, “T2”, and “Td” may be estimated and the standard time may be calculated. An optimal method of estimating the combination is to calculate the reliability of the estimated values of “T0”, “T1”, “T2”, and “Td” of each classification, and to calculate the reliability of the combination based on the values. There is a method of calculating and selecting the combination having the highest reliability.
[0064]
Methods for measuring the reliability of the estimated values of “T0”, “T1”, “T2”, “Td” of each classification include a method based on standard deviation and variance, a method based on local variance around the estimated value, There are a method based on the width from a value at a certain percentage from the lower order to a value at a certain percentage from the upper part, a method based on the half-value width, a method based on information statistics, and the like.
[0065]
In the example illustrated in FIG. 2, the standard time for the device group “WSG1” is calculated such that the stay time of the product is “estimated value of T0” and the constraint time of the resource is “estimated value of T2”.
[0066]
When the classification method of “Td” is different from the classification method of “T1” or “T2”, an estimated value of “Td” is calculated in advance, and “T1” or “T1” is calculated using the estimated value. There is also a method of correcting the time of “T2” and calculating an estimated value of “T1” or “T2”.
[0067]
Finally, the standard time estimating means 22 outputs the standard time calculated as described above to the output device 4 (step S15 in FIG. 10). The data processing device 2 calculates all the standard times by repeatedly performing the processing of steps S10 to S15 described above.
[0068]
As described above, in this embodiment, the standard time (resource constrained time) can be accurately estimated by estimating the non-work time (Td) from the work end date and time to the work start date and time of the previous work. .
[0069]
FIGS. 11 to 13 are diagrams showing the effects of the embodiment of the present invention. FIGS. 11 to 13 show histograms representing distributions of non-working time of a certain apparatus from actual data of a certain actual factory. FIG. 13 shows an example of a device in which the non-working time becomes negative.
[0070]
As described above, some actual manufacturing apparatuses require a certain period of time from the end of an operation to the start of the next operation, and the other units start the next operation before the end of the operation. By taking these times into account, it is possible to accurately estimate the load on the device.
[0071]
Further, in this embodiment, even when only one of the work start date and time and the work end date and time is reliable, the standard time (resource constraint time) can be calculated with high accuracy.
[0072]
14 to 16 are diagrams showing other effects according to one embodiment of the present invention. FIGS. 14 to 16 show histograms representing the operation time distribution of a certain recipe group of a certain device from the actual data of a certain real factory. 14 shows the distribution of the time (T0) from the work start date and time to the work end date and time, FIG. 15 shows the distribution of the time (T2) from the work end date and time to the work end date and time of the previous work, and FIG. The distribution of time (T1) from the date and time to the start date and time of the next operation is shown.
[0073]
In all three graphs shown in FIGS. 14 to 16, the class section widths and display ranges of the histograms are aligned. In the cases shown in FIGS. 14 to 16, it can be understood that the calculation accuracy of the standard time can be improved by calculating the standard time based on the work end time.
[0074]
Furthermore, in the present embodiment, even when the actual data serving as the population of the standard time calculation source data is small, by appropriately setting the classification, the population is increased, and the error of the estimated value is reduced, so that the standard time is reduced. The estimation accuracy can be improved.
[0075]
Furthermore, in this embodiment, since the analyzed result data is held and estimated from the data, it is possible to perform estimation according to the characteristics of the distribution of the work time such as the median value and the mode value, Can suppress the adverse effect on the estimated value, and accurately calculate the standard time.
[0076]
FIG. 17 is a block diagram showing a configuration of a standard time calculation device according to another embodiment of the present invention. In FIG. 17, a standard time calculating device according to another embodiment of the present invention has a work time estimating means 51 and a standard time calculating means 52 instead of the standard time estimating means 22 in the data processing device 5. Except that the storage unit 61 is added to the storage device 6, the configuration is the same as that of the standard time calculation device according to the embodiment of the present invention shown in FIG. 1, and the same components are denoted by the same reference numerals. The operation of the same component is the same as that of the standard time calculation device according to the embodiment of the present invention.
[0077]
The work time estimating means 51 reads time information such as “T0”, “T1”, “T2”, and “Td” classified and stored in the analyzed result data storage unit 32, performs statistical processing, and performs each classification. The most reliable time for each is estimated, and the estimated result is stored in the estimated work time storage unit 33. This estimation method includes a method of taking an arithmetic average, a method of taking a median value, a method of taking a mode value, and a method of taking an average of values excluding a certain percentage as an upper limit or a lower limit.
[0078]
The standard time calculation means 52 converts the estimated time values such as “T0”, “T1”, “T2”, and “Td” estimated for each classification stored in the estimated work time storage unit 61 into parameter values in advance. The standard time is assembled according to whether the work start date and time stored in the storage unit 31 is trusted, the work end date and time is trusted, or both are trusted.
[0079]
As an example of a method of assembling the standard time, when the work start date and time are trusted, the “estimated value of T0” is set as the stay time of the product, and the “estimated value of T1” is set as the constraint time of the resource of the device or the worker. When the end date and time are trusted, the “estimated value of T0” is the stay time of the product, and the “estimated value of T2” is the constraint time of the resource. When both the work start date and time and the work end date and time are trusted, “T0 There is a method in which the “estimated value” is the stay time of the product and the “estimated value of T0 + estimated value of Td” is the resource constraint time.
[0080]
FIG. 18 is a flowchart showing the operation of the standard time calculation device according to another embodiment of the present invention. FIGS. 19A and 19B are specific examples of the operation of the standard time calculation device according to another embodiment of the present invention. FIG. The operation of the standard time calculation device according to another embodiment of the present invention will be described with reference to FIGS. Note that the processing illustrated in FIG. 18 is realized by each unit of the data processing device 5 executing a program in the program storage unit 33. Also, the processing in steps S21 to S29 in FIG. 18 is the same as the processing in steps S1 to S9 in FIG. 10, and a description of the operation will be omitted.
[0081]
In the embodiment of the present invention shown in FIG. 1, the estimated time of the work time such as “T0”, “T1”, “T2”, “Td” is calculated, and the standard time is calculated by combining the estimated values. Are performed at the same time. On the other hand, in the present embodiment, first, an estimated value of the work time is calculated by the work time estimating means 51, and the calculated estimated value is stored in the estimated work time storage unit 61. The standard time is calculated by the calculating unit 24 with reference to the estimated value stored in the estimated work time storage unit 61 and is output to the output device 4.
[0082]
The work time estimating means 51 first takes out work time data such as “T0”, “T1”, “T2”, “Td” classified and stored in the analyzed result data storage unit 32 for each classification ( In step S30 in FIG. 18, the characteristic information of the work process stored in the parameter storage unit 31 is obtained (step S32 in FIG. 18).
[0083]
The work time estimating means 51 statistically processes the obtained work time data, calculates the most reliable value for each classification as a work time estimated value, and stores it in the work time estimated value storage unit 61 (step S33 in FIG. 18). When information on the estimation method is also stored in the parameter storage unit 31, information on which estimation method is applied is acquired in step S30.
[0084]
Speaking of the specific examples shown in FIGS. 2 to 5, the stored contents of the analyzed result data storage unit 32 after reading the result data are the contents shown in FIG. The work time estimating means 51 calculates a work time estimated value based on the analyzed result data, for example, as shown in FIG.
[0085]
If a combination of estimated work times for the standard time calculation can also be estimated, the work time estimation means 51 calculates the reliability of the estimated value of each work time and stores the estimated work time value together with the estimated value. It is stored in the unit 61.
[0086]
The standard time calculating means 52 first reads a key for limiting the target for calculating the standard time from the input device 1 (step S34 in FIG. 18). In the specific examples shown in FIGS. 2 to 5, “apparatus”, “apparatus group”, “apparatus and recipe information”, “apparatus group and recipe category” and the like are keys. In step S34, the parameters stored in the parameter storage unit 31 are also changed according to the input from the input device 1.
[0087]
Next, the standard time calculating means 52 calculates the standard time by combining the estimated work times stored in the estimated work time storage 61 according to the combination method stored in the parameter storage 31 (FIG. 18). Steps S36 and S37).
[0088]
When the combination of the estimated work times for the standard time calculation is the target of the estimation, the combination is performed with reference to the reliability of the estimated value of each work time stored in the estimated work time storage unit 61. Obtain the reliability of the standard time and adopt the standard time with the highest reliability.
[0089]
Finally, the standard time calculation means 52 outputs the standard time calculated by the above-described processing to the output device 4 (Step S38 in FIG. 18). The work time estimating means 51 and the standard time calculating means 52 of the data processing device 5 calculate all the standard times by repeatedly performing the processing of steps S30 to S33 and the processing of steps S34 to S38, respectively.
[0090]
In the present embodiment, by dividing the operation time into the work time estimation means 51 and the standard time calculation means 52, it is possible to interactively change parameters such as how to combine the work time estimation values for calculating the standard time.
[0091]
Further, in the present embodiment, since the standard time can be recalculated at high speed without recalculating the estimated value of the work time, the distribution of the analyzed result data and the estimated work time are calculated. It is possible to change the parameters used for calculating the standard time while referring to the standard time and the like on the monitor screen or the like.
[0092]
As described above, in the present embodiment, a new effect is obtained in that the present embodiment can be used as a parameter tuning tool to calculate a more accurate standard time.
[0093]
FIG. 20 is a block diagram showing a configuration of a standard time calculation device according to another embodiment of the present invention. In FIG. 20, the standard time calculating device according to another embodiment of the present invention has the same configuration as the standard time calculating device according to another embodiment of the present invention shown in FIG. , The same components are denoted by the same reference numerals. The operation of the same component is the same as that of the standard time calculation device according to another embodiment of the present invention.
[0094]
In the present embodiment, the performance data is transmitted from the communication device 7 to the performance data analysis means 21 instead of the input device 1. The analyzed result data storage unit 32 holds previous work information for each resource such as an apparatus.
[0095]
FIG. 21 is a diagram showing an example of the previous work information stored in the analyzed result data storage unit 32 of FIG. In FIG. 21, the analyzed result data storage unit 32 holds the immediately preceding work result data for each device as previous work information. The previous work information needs to hold the resource for which the resource constraint time is to be calculated as a key, and when calculating the resource constraint time for both the device and the jig, the previous work information is used for each of the device and the jig as a key. Hold.
[0096]
FIGS. 22 and 23 are flowcharts showing the operation of the standard time calculation device according to another embodiment of the present invention. The operation of the standard time calculating device according to another embodiment of the present invention will be described with reference to FIGS. Note that the processing shown in FIGS. 22 and 23 is realized by each unit of the data processing device 5 executing a program in the program storage unit 33.
[0097]
22 and 23, the processing of steps S41 to S52 is triggered by the reception of the actual data in the communication device 7, and the processing of steps S61 to S65 is triggered by the input of the input device 1.
[0098]
The processing of steps S41 to S48, S50, S52, S61 to S65 is the same as the processing of steps S22 to S29 and S32 to S38 in another embodiment of the present invention shown in FIG.
[0099]
In step S49, work time data is extracted for the classification including the analyzed result data newly registered in the analyzed result data storage unit 32. In step S50, when the recalculation of the estimated work time is completed for all classifications including the analyzed result data newly registered in the analyzed result data storage unit 32, the data processing device 5 A series of processes triggered by the reception of the result data is ended.
[0100]
As described above, in this embodiment, a new effect that the standard time can be updated in real time is obtained.
[0101]
It should be noted that the standard time calculation apparatus and method described in each of the above embodiments are a simulation apparatus for simulating a production line, a scheduling apparatus for scheduling a production line, a planning apparatus for planning a production line, and a production planning system. It can be used for a production control device and a production management system for controlling production of a production line, a cost calculation device for performing cost calculation in production on a production line, a delivery date answering system for answering a delivery date of a product, and the like.
[0102]
【The invention's effect】
As described above, according to the present invention, by adopting the above-described configuration and operation, an advantage is obtained in that the standard time (resource constraint time) can be accurately estimated.
[Brief description of the drawings]
FIG. 1 is a block diagram illustrating a configuration of a standard time calculation device according to an embodiment of the present invention.
FIG. 2 is a diagram showing a specific example of the operation of the standard time calculation device according to one embodiment of the present invention.
FIG. 3 is a diagram showing a specific example of the operation of the standard time calculation device according to one embodiment of the present invention.
FIG. 4 is a diagram showing a specific example of the operation of the standard time calculation device according to one embodiment of the present invention.
FIG. 5 is a diagram showing a specific example of the operation of the standard time calculation device according to one embodiment of the present invention.
FIG. 6 is a diagram showing a specific example of work time calculation in the operation of the standard time calculation device according to one embodiment of the present invention.
FIG. 7 is a diagram showing a specific example of work time calculation in the operation of the standard time calculation device according to one embodiment of the present invention.
FIG. 8 is a diagram showing a specific example of work time calculation in the operation of the standard time calculation device according to one embodiment of the present invention.
FIG. 9 is a diagram showing a specific example of work time calculation in the operation of the standard time calculation device according to one embodiment of the present invention.
FIG. 10 is a flowchart showing the operation of the standard time calculation device according to one embodiment of the present invention.
FIG. 11 is a diagram showing an effect according to one embodiment of the present invention.
FIG. 12 is a diagram showing the effect of one embodiment of the present invention.
FIG. 13 is a diagram showing the effect of one embodiment of the present invention.
FIG. 14 is a diagram showing another effect according to the embodiment of the present invention.
FIG. 15 is a diagram showing another effect according to the embodiment of the present invention.
FIG. 16 is a diagram showing another effect according to the embodiment of the present invention.
FIG. 17 is a block diagram showing a configuration of a standard time calculation device according to another embodiment of the present invention.
FIG. 18 is a flowchart showing the operation of the standard time calculation device according to another embodiment of the present invention.
FIG. 19 is a diagram showing a specific example of the operation of the standard time calculation device according to another embodiment of the present invention.
FIG. 20 is a block diagram showing a configuration of a standard time calculation device according to another embodiment of the present invention.
21 is a diagram illustrating an example of pre-operation information stored in an analyzed result data storage unit of FIG. 20;
FIG. 22 is a flowchart showing the operation of the standard time calculation device according to another embodiment of the present invention.
FIG. 23 is a flowchart showing the operation of the standard time calculation device according to another embodiment of the present invention.
[Explanation of symbols]
1 Input device
2,5 Data processing device
3,6 storage device
4 Output device
7 Communication device
21 Actual data analysis means
22 Standard time estimation means
31 Parameter storage unit
32 Analyzed result data storage unit
33 Program storage
51 Work time estimation means
52 Standard time calculation means
61 Working time estimated value storage

Claims (19)

A standard time calculation device that calculates a standard time based on actual operation data in a production line,
A standard time calculation device, comprising: a calculation unit configured to calculate the standard time from time during which no work is performed on the production line and the work result data. 2. The standard time calculation apparatus according to claim 1, wherein the calculation unit calculates the standard time based on a time interval between a work end time of the predetermined work and a work end time of the work immediately before the predetermined work. . The method according to claim 1, wherein the calculation unit calculates the standard time based on a time interval between a work start time of a predetermined work and a work start time of a work immediately after the predetermined work. 4. Standard time calculator. 4. The standard time calculation device according to claim 2, further comprising a determination unit configured to determine whether the operations are the same when performing the collective operations. Among the value estimated based on the time from the work start time to the work end time, the value estimated based on the time interval of the work start time, and the value estimated based on the time interval of the work end time 4. The standard time calculation device according to claim 3, further comprising means for selecting a most reliable value. The standard time calculation device according to any one of claims 1 to 5, wherein the standard time calculation device is used in a simulation device that simulates the production line. The standard time calculation device according to claim 1, wherein the standard time calculation device is used in a scheduling device that performs scheduling of the production line. The standard time calculation device according to any one of claims 1 to 5, wherein the standard time calculation device is used for a planning device that plans the production line. 6. The standard time calculation device according to claim 1, wherein the standard time calculation device is used in a production planning system for planning the production line. The standard time calculation device according to any one of claims 1 to 5, wherein the standard time calculation device is used in a production control device that controls production of the production line. 6. The standard time calculation device according to claim 1, wherein the standard time calculation device is used in a production management system that controls production of the production line. The standard time calculation device according to any one of claims 1 to 5, wherein the standard time calculation device is used in a cost calculation device that performs cost calculation in production on the production line. The standard time calculation device according to any one of claims 1 to 5, wherein the standard time calculation device is used in a delivery date answering system for answering a delivery date of a product produced on the production line. A standard time calculation method for calculating a standard time based on actual work data in a production line, comprising a step of calculating the standard time from a time during which no work is performed on the production line and the actual work data. Characteristic standard time calculation method. 15. The standard time according to claim 14, wherein the step of calculating the standard time calculates the standard time based on a time interval between a work end time of the predetermined work and a work end time of the work immediately before the predetermined work. Standard time calculation method. 15. The method according to claim 14, wherein the step of calculating the standard time calculates the standard time based on a time interval between a work start time of a predetermined work and a work start time of a work immediately after the predetermined work. Item 15. The standard time calculation method according to Item 15. 17. The standard time calculation method according to claim 15, wherein when performing the collective work, it is determined whether or not the work is the same. Among the value estimated based on the time from the work start time to the work end time, the value estimated based on the time interval of the work start time, and the value estimated based on the time interval of the work end time 17. The method according to claim 16, including the step of selecting the most reliable value. A program for a standard time calculation method for calculating a standard time based on actual work data on a production line, wherein the computer calculates the standard time from a time during which no work is performed on the production line and the actual work data. Program to execute processing.

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