KR20090073018A - Work analyzer for sewing machine - Google Patents

Abstract

An operation analysis apparatus for a sewing machine is provided to evaluate skill of each operator etc in case a plurality of operators use one sewing machine, and to offer excellent operation efficiency. An operation analysis apparatus for a sewing machine includes the followings: a date acquisition unit(36) acquiring record data which is inserted in a setting point of an operator ID or a process ID while recording change of number of rotation of the sewing machine(10) and sewing work time time-serially; a selection unit selecting an arbitrary ID; an extraction processing unit(105) extracting a corresponding part of each record data from the selected ID and time; and a graph display processing unit(103) indicating extracted data in a display unit with a predetermined graph.

Description

WORK ANALYZER FOR SEWING MACHINE}

The present invention relates to a task analysis apparatus of a sewing machine.

In order to efficiently perform the production of sewing materials by the sewing machine, a work analysis device for the sewing machine has been developed. The conventional work analysis device measures and calculates indicators related to production efficiency, such as the number of revolutions of the upper shaft of a sewing machine over time, the number of sewing per unit time, and displays numerical or graphed results on the operation panel. (For example, see Patent Documents 1 and 2).

[Patent Document 1] Japanese Patent Publication No. S64 (1989) -86994

[Patent Document 2] Japanese Patent Publication H3 (1991) -10357

However, the work analysis device is only capable of analysis based on the recording on the sewing machine of a single body, and it is not possible to evaluate the skills of each worker when a plurality of workers use the sewing machine of the single body.

In addition, even when a single sewing machine is used in a plurality of types of work processes in a multi-seam sewing process, the efficiency of each work process cannot be evaluated.

Moreover, in the case of preparing a plurality of sewing machines and sharing the manufacturing process of a sewing machine with several branches to each sewing machine to complete the product, in particular, the above point becomes a problem, so as to make use of each worker's advantages or disadvantages. The work flow could not be smoothed because the efficiency of work was not improved, or the efficiency in various work processes could not be compared.

An object of the present invention is to improve the work efficiency in a joint sewing operation by a plurality of sewing machines.

The invention as set forth in claim 1 is a job analysis device of a sewing machine that aggregates recording data acquired from a plurality of sewing machines to control display means and performs a graph display, wherein the number of revolutions of the sewing machine and the sewing operation time of each sewing work unit Data acquisition means for acquiring the record data recorded in time series and inserted in time series according to a time point when identification information consisting of a plurality of worker specific information and a plurality of work classification identification information is set; Selecting means for selecting a plurality of worker specific information or a plurality of job classification specifying information and simultaneously selecting any period of the data recording period, a plurality of worker specifying information or a plurality of job classification specifying information selected by the selecting means; Extraction of the relevant portion of the record data from the selection period It characterized in that it comprises a processing means, and a graph display processing means for displaying on the display means the extracted data to a predetermined graph.

"Recording data" consists of the number of revolutions of the sewing machine and the sewing operation time which are recorded in time series by the data recording means provided in the individual sewing machines. When this is done, specific information data is recorded in accordance with the set time in the middle of data relating to the rotational speed of the sewing machine or the sewing operation time recorded in time series.

The "sewing operation time" indicates the start or end of one sewing operation (one working process for one sewing object) or the timing (date and time) of both.

"Work classification identification information" refers to identification information (the identification information is an ID, and any other information identifiable by the apparatus which performs data processing) for the whole classification of sewing work by the sewing machine. For example, Identification information on various sewing items, process identification information used for identification of each sewing process, and lot identification information, etc., are used when managing work in a unit of lot.

The "sewing work unit" means one work unit which divided the sewing work into processes. In general, a sewing unit is started after starting sewing and cutting the thread and ending sewing.

The invention described in claim 2 has the same configuration as the invention described in claim 1, and is individually sewn from the sewing operation time of each sewing work unit included in the extraction data corresponding to the selection condition selected by the selection means. And averaging processing means for calculating a sewing time for each unit, and averaging processing means for calculating an average value by subtracting an outlier of the sewing time for each of the selected identification information. And arranging the average value of sewing time of each piece of identification information in a graph, and increasing or decreasing the average value line representing the average value of sewing time for the selected all pieces of identification information and the average value of all pieces of identification information at a predetermined ratio. Superimposing the upper and lower limit lines on the graph It characterized.

The invention described in claim 3 has the same configuration as the invention described in claim 1 or 2, and is selected from the sewing operation time of each sewing work unit included in the extraction data corresponding to the selection condition selected by the selection means. Sewing unit counting means for obtaining the production quantity of the sewing work unit individually for a plurality of identification information, and for obtaining the respective quantity corresponding to the details of the unselected identification information in the production quantity of each identification information. The graph display processing means individually displays the production quantity of the plurality of pieces of identification information of the extracted data in a bar graph, individually for each unselected individual information among each worker specific information and each work classification specific information. Distinguish the display mode of the bar graph to identify the corresponding quantity And that is characterized.

The invention according to claim 4 has the same configuration as that of the invention according to claim 3, and when the graph display processing means displays any one of the above identification information as a parameter, And first switching display control means for switching to a bar graph display indicating a production quantity for each passage of the sewing operation time for the plurality of pieces of identification information of the extracted data.

The invention as set forth in claim 5 has the same configuration as the invention as set forth in any one of claims 1 to 4, and is selected from a change in the number of revolutions of the sewing machine included in the extraction data corresponding to the selection condition selected by the selection means. Each identification information is provided with a running time accumulating means for accumulating the running time and the rest time, and the graph display processing means distinguishes the display mode so that the ratio of the accumulated running time and the rest time can be identified. It is characterized by displaying as a bar graph.

The invention according to claim 6 has the same configuration as the invention according to any one of claims 1 to 5, and when the graph display processing means displays any one of the identification information as a parameter, a switching instruction is given. And a second switching display control means for receiving an input of and switching the other identification information into a graph display as a parameter.

The invention according to claim 7 has the same configuration as the invention according to any one of claims 1 to 6, and includes the graph with respect to items included in the extraction data and not reflected in the graph display by the display processing means. And supplementary table display processing means for displaying the display means in a tabular form.

The invention according to claim 8 has the same configuration as the invention according to any one of claims 1 to 7, and when the graph is displayed by the graph display processing means as either parameter, the switching instruction And a third changeover display control means for receiving an input of and switching to display of a waveform graph indicating a change in the number of revolutions of the sewing machine included in the extracted data.

According to the invention of claim 1, when a certain means of selecting specific information and a period is selected for a plurality of pieces of record data acquired from a plurality of sewing machines, the specific information corresponding to the corresponding period in the corresponding period among all the record data. Data belonging to is extracted. For example, when a worker specific information and a day of a certain date are selected, the number of revolutions of the sewing machine and the sewing operation time from when the worker specific information is input until the next other worker information is input at the date and time of the date. Data becomes the extracted data. When a plurality of pieces of specific information are selected, the extracted data corresponding to each is extracted.

Each extracted data is displayed on the display means in a predetermined graph.

Thus, even when a plurality of sewing machines are used in a single or a plurality of sewing machines, the use status of each worker can be extracted as data by the selection means and the extraction processing means to display a graph. This makes it easy to evaluate the skills of each worker.

Furthermore, when the work classification specific information is selected by the selection means, the extraction data relating to the work classification information is obtained, so that even if a plurality of work processes (work classification) are performed in a single or a plurality of sewing machines, the work required for analysis is performed. Since only the data of the process can be graphed, it becomes easy to evaluate the work efficiency for each work process (work classification).

In addition, even when a plurality of machines share a plurality of work processes (work classifications) by a plurality of sewing machines and are responsible for the completion of the product, the sewing state or achievement state can be grasped for each worker or work process (work classification). In addition, it is possible to easily identify the cause of the overall deterioration of efficiency, for example, inexperienced workers can be placed in a process that requires less effort, attaching a secondary worker, or a laborious and time-consuming work process In this regard, various countermeasures such as arranging high-skilled workers or increasing the number of workers can be taken.

According to the invention of claim 2, since the sewing time required in the sewing work unit belonging to the selected identification information can be obtained, the required time of one work unit can be obtained for every work classification for each worker or work process, It is easy to evaluate the skill of each worker and the work efficiency for each work process (work classification).

In addition, a process of subtracting and averaging the deviation value with respect to the sewing time is performed. Further, specific examples of such treatment are as described after the identification number. However, it is not limited to this description. This effectively eliminates the influence of the time lost due to unexpected factors (e.g. thread cutting, thread entanglement, thread change, etc.) in the sewing operation, for example, smoothness for each worker and smooth work for each work process. It is possible to accurately grasp the back.

In addition, in the graph display of sewing time, the average value line and the upper limit value and the lower limit value line indicating the set upper and lower limit values are displayed, so that the evaluation regarding sewing time can be performed smoothly and reliably with respect to the selected identification information. .

According to the invention as set forth in claim 3, the production quantity of the sewing work unit is individually determined for each selected identification information from the sewing work time of the sewing work unit (for example, one to-be-sealed material) of the extracted data. Thus, for example, when some worker identification information is selected, the number of sheets that the worker has sewn in the selected period is determined.

Further, the details of the identification information of the unselected one are obtained for the production quantity for each identification information. For example, when worker identification information is selected, the corresponding quantity belonging to each work classification identification information in the production quantity is calculated | required as a breakdown. That is, when a worker performs sewing on a plurality of work classifications, the number of sewing sheets for each work classification is obtained as a breakdown.

The quantity of production is displayed by graphing the respective pieces of identification information. In this case, for each bar graph display, the details of the corresponding quantities belonging to another piece of identification information are displayed separately by color classification.

In this way, not only the total production quantity can be known for each selected identification information, but also a graph for recognizing the details of the unselected identification information. At the same time, they can also identify their relevance. This enables more accurate analysis.

In claim 4, since it is possible to switch from displaying the selected identification information as a parameter to a bar graph display indicating the production quantity for each sewing operation time elapsed for the identification information, any identification information (e.g., Even when the specific information is confirmed in a graph with respect to the worker identification information and the work classification identification information, the above-mentioned switching can quickly confirm the production quantity at the time of sewing work time for the identification information. It is possible to grasp the smoothness of work for each work process and to relate to other information. This enables more accurate analysis.

According to the invention as set forth in claim 5, the ratio of the operating time and the idle time is displayed in the bar graph with respect to the selected identification information. And the like. This enables more accurate analysis.

According to the invention as set forth in claim 6, worker identification information (or work classification identification information) is selected, and from this state in which graph display is performed as a parameter, the work classification identification information (or worker identification information) is converted into a graph display. Since it is possible to switch, it becomes possible to know the relation between the worker and the work classification, and to grasp the mutual influence on the efficiency and the like. This enables more accurate analysis.

According to the invention as set forth in claim 7, an item may be included in the extracted data while not being reflected in the graph display depending on the type of the graph at the time of graph display. Even in such a case, since the items are displayed in a tabular form by arrangement outside the graph, a large amount of information can be recognized at the same time, thereby enabling more accurate analysis.

According to the invention as set forth in claim 8, since the selected identification information can be switched from the state in which the graph is displayed as a parameter to the waveform graph display indicating the change in the rotation speed of the sewing machine, any identification information (e.g. Even when the specific information is confirmed in a graph for the work classification identification information, the change of the rotation speed of the sewing machine with respect to the identification information can be quickly confirmed by the above-described change, so that the skill of each worker and the work of each work process can be smoothed. While identifying the back, it is possible to understand the relevance to other information. This enables more accurate analysis.

(Overall Configuration of Embodiments of the Invention)

Hereinafter, a job analysis system 100 of a sewing machine including a job analysis device 101 of a sewing machine according to the present invention will be described with reference to FIGS. 1 to 22. 1 is a block diagram showing a schematic configuration of a work analysis system 100.

As shown in FIG. 1, the job analysis system 100 is capable of transmitting and receiving recorded data by artificially transmitting and receiving a plurality of production management sewing machines 10 and each production management sewing machine 10 and an information recording medium. A job analysis device 101 is provided.

As the work analysis device 101, a personal computer or a workstation is used. In addition, wired / wireless communication means such as a wireless LAN or a wired LAN may be used to transmit and receive recorded data between the job analysis device 101 and each production management sewing machine 10.

(Production management sewing machine)

2 is a block diagram illustrating a schematic configuration of a job analysis system 100 including a production management sewing machine 10.

Each production management sewing machine 10 is a sewing machine motor 11, which is a Shanghai-dong drive source of the needle bar for holding the sewing needle, and a top and bottom (not shown) for converting the rotational driving force of the sewing machine motor 11 into a Shanghai-dong drive source and transmitting it to the needle bar. A moving mechanism, a cloth conveying mechanism (not shown), a thread tension adjusting device (not shown), a scalpel drive solenoid 12 for driving a thread cutting blade for cutting a sewing thread after completion of sewing, and a sewing machine motor by 11), the operation pedal 13 for inputting the driving command of the female drive solenoid 12 by stepping on, the operation key 21 for performing various types of input described below, and a predetermined screen display An operation panel 20 having a display unit 22 formed thereon, a count switch 23 pressed when one sewing is completed, various programs and initial stages for executing various processes described later ROM 32 stored in the memory, a CPU 31 for executing various programs, a RAM 33 for storing various data relating to the processing of the CPU 31 in a work area, and a production management sewing machine 10 An EEPROM 35 for storing recorded data to be recorded, and a flash memory card 36 which is a recording medium for transferring the recorded data in the EEPROM 35 between the production management sewing machine 10 and the job analysis device 101. And a reader / writer 37 thereof.

(History data)

The production management sewing machine 10, in the sewing process generates the record data (D) consisting of the rotational speed data (D1) and sewing operation time data (D2) shown in Figure 3 and records in the EEPROM (35). Further, the write data D is copied from the EEPROM 35 to the flash memory 36 and transferred to the job analyzing apparatus 101.

The rotation speed data D1 is generated by the CPU 31 performing the detection of the rotation speed of the sewing machine input from the operation pedal 13 at a predetermined sampling period and sequentially recording the information. When either the ID or the process ID as the work classification identification information is input, it is inserted in the middle of the data of the respective rotation speeds according to the input time. In addition, when the main power source of the production management sewing machine 10 is turned on, the sewing machine ID as sewing machine identification information is recorded in the rotation speed data D1. Further, the thread cutting information is inserted into the rotational speed data D1 according to the execution time of the thread cutting, and the section information is inserted when the count switch 23 is pressed. The section information indicates a section of one sewing work unit, and the time (including the year, month, and day) when the count switch 23 is pressed is also recorded.

The sewing work time data D2 indicates that each time the CPU 31 performs sewing of one sewing work unit (here, referring to one sewing process in one sewing object), the sewing work time (the date of the year) Including but not shown in the drawing) are sequentially recorded. If any of the worker ID and the process ID are input during the recording, the data is inserted in the middle of the data at each sewing operation time according to the input time. The recording of the sewing operation time is made when the count switch 23 pressed at the end of sewing is pressed. In addition, when the main power of the production management sewing machine 10 is input, the sewing machine ID is recorded in the sewing operation time data (D2).

In addition, the sewing machine ID refers to a code for distinguishing each sewing machine individually assigned to each production management sewing machine 10.

In addition, the worker ID means a code for distinguishing each individual individually assigned to a plurality of workers sewing using each production management sewing machine 10.

In addition, a process ID means the code | symbol for distinguishing each process allocated individually for each sewing process performed for each kind of sewing with respect to various to-be-sealed goods.

Here, the sewing process will be described supplementally with Fig. 4 as an example. 4 is a process chart showing each step from the start of sewing of the pants to completion. In addition, this process chart is a simplified structure for the sake of illustration only. The pants consist of four parts: left and right front and left and right back, and the sewing process consists of `` front center linking '' that stitches the left and right front sides, `` back center linking '' that stitches the left and right backways, and the stitched left and right backways and the stitched left and right backways. It consists of seven processes: stitching the side seams, trimming the hem, stitching the thighs, squeezing the waist, and stitching the seams. In this way, there is a plurality of steps to complete one type of sewing object, and the type of sewing machine used depends on the sewing type. Normally, the sewing process is identified as a separate thing for each kind of the object to be sewn. However, when the size, color, specification, type of material, etc. are different from the same kind of the object to be sewn, these sewing processes are regarded separately. You can also assign a separate ID to identify it.

In addition, when the production of the to-be-processed product is managed by lot unit in order to respond to mass production of the to-be-processed material, even if a lot is different, you may identify a sewing process as a separate thing.

In the above example, the classification is performed by the difference in the sewing process as the work classification specific information. However, in the case where the production management is performed by the lot, the lot ID is also used to identify the lot in units of the record data (D). The data may be recorded in the data D1 and D2.

FIG. 5 is a flowchart showing processing performed based on the recording processing program of the recording data D executed by the CPU 31 of the production management sewing machine 10. As shown in FIG.

According to this, first, when the main power source is turned on, a rotation speed recording timer (not shown) that starts a clock for periodically detecting the sewing machine rotation speed starts to count (step S1). Then, the sewing machine ID is recorded in the rotation speed data D1 and the sewing operation time data D2 (step S2).

Subsequently, the CPU 31 displays an instruction for requesting the input of the worker ID and the process ID to the display unit 22, and the rotation speed data D1 is inputted to the display unit 22 when the input to them is made through the operation key group 21. And the worker ID and the process ID in the sewing operation time data D2 (step S3).

Then, the internal clock (not shown) refers to the current time to record the rotational speed data D1 as the partition information, and to the sewing operation time data D2 as the sewing operation time (step S4).

Next, it is determined whether the rotational speed recording timer has counted up one cycle (step S5), and if not counting up, the process proceeds to step S7, and when counting up, from the stepping amount of the current operation pedal 13; The motor rotation speed is obtained and recorded in the rotation speed data D1 as the rotation speed (step S6).

In addition, each ID, sewing operation time, and rotational speed are recorded in the order in which they are recorded, and are recorded when referring to each data group that is the contents of the rotational speed data D1 and sewing operation time data D2 in order. You can see the order in which they were done.

Subsequently, in step S7, it is determined whether or not a new worker ID has been input by the worker's alternation or the like, and if not, the process proceeds to step S9, and if so, the rotational speed data D1 and sewing operation time data. The worker ID is recorded in step D2 (step S8).

Subsequently, in step S9, it is determined whether or not a new process ID is input by changing the process, and if not, the process proceeds to step S11, and if input, the rotation speed data D1 and sewing operation time data. The process ID is recorded in (D2) (step S10).

Subsequently, in step S11, it is determined whether there is an input of a thread cutting instruction from the operation pedal 13, and when it is not input, the process proceeds to step S13, and when it is input, the rotation speed data D1 is input. Thread cutting information is recorded (step S12).

In step S13, it is determined whether or not the count switch 23 has been input, and if not, the process returns to step S5. If inputted, the current time is recorded as the partition information in the rotation speed data D1, and the sewing work time is recorded in the sewing work time data D2 (step S14), and the processing returns to step S5.

The process is continued until the main power supply of the production management sewing machine 10 is turned off, so that the rotation speed data (D1) and sewing operation time data (D2) in the EEPROM (35) of the production management sewing machine (10). The recording data D consisting of) is recorded.

In addition, the production management sewing machine 10 detects the rotation speed from the operation pedal 13, it may be provided with a rotation speed detection means such as an encoder in the sewing machine motor (11).

(Work analysis device)

The job analysis apparatus 101 includes a keyboard 102 for performing various inputs described below, a monitor 103 as display means for performing predetermined screen display, a ROM 104 storing basic programs and initial data, CPU 105 for executing various programs, RAM 106 for storing various data relating to the processing of the CPU 105 in the work area, CPU 105, programs for performing the processes described later, and each HD (hard disk) device 108 as a storage means for storing the recording data D received from the production management sewing machine 10, and data acquisition means for acquiring the recording data D from the production management sewing machine 10; And a flash memory card 36, a read / write device 109 thereof, and a mouse 110 for inputting a movement operation and determination of a pointer displayed on the monitor 103. In addition, since the input operation of selection or determination by the mouse 110 for the display screen described below is well known, its principle and detailed description will be omitted.

(main screen)

In the job analysis apparatus 101, when recording data D is acquired from each production control sewing machine 10, the main screen M1 is displayed by a predetermined processing program. 6 is a display example of the main screen M1.

The main screen M1 lists which identification information (worker ID and process ID) belongs to the record data D acquired from each production management sewing machine 10 and for which period (date and time) data exists. It is an indication of form. In the main screen M1, a list of identification information of the worker ID or the process ID is displayed on the vertical axis, and they are the selection switches of ID, and the selection switches of the period are displayed on the horizontal axis in a time series. Becomes Then, the display color of the square at the position where the squares arranged in a row in a row from an arbitrary ID and the squares arranged in a row from a certain period intersect, and there is data for any period at a certain ID. It is supposed to indicate.

Further, either the operator ID or the process ID is selected on the vertical axis in accordance with the mouse operation for the changeover switch M11, and the selection for the period display range is determined by the mouse operation for the display period designation switch M12. It is to be done accordingly.

Further, the main screen M1 functions as "selection means" for selecting any period (date and time) between the identification information and the data recording period, in order to select data to be subjected to various graph displays described later. That is, as described above, since the vertical axis is the selection switch of ID and the horizontal axis is the selection switch of the date and time, the data acquired at the selection date and time are selected and extracted for the selection ID by selecting them by mouse operation, respectively. .

The processing performed by the CPU 105 in the main screen M1 will be described with reference to FIG. 7. Here, the case where the worker ID is selected on the vertical axis will be described as an example.

First, a description will be given of processing for the case where the presence or absence of data in each ID and each period is displayed by color when displaying the main screen M1.

The process first reads the record data D (e.g., the rotational speed data D1) from the beginning of the data array (step S21), determines whether a record of the first worker ID exists (step S22), If a record is found, the closest section information located behind the worker ID is searched (step S23) to read the date and time of the data record from the section information (step S24). By carrying out this for the entire range of each record data D (step S25), it is possible to obtain all the recording date and time of the first worker ID. By performing such a process for the following worker IDs, it is possible to confirm the presence or absence of recording data for each date and time for each worker ID, and accordingly color display control of each square box is executed.

If the process ID is selected on the vertical axis by the changeover switch M11, a determination is made as to whether or not the process ID exists in the process of step S22.

Next, the processing performed by the CPU 105 in the case of functioning as the selection means on the main screen M1 will be described based on FIG. 8. Here, the case where the worker ID is selected on the vertical axis will be described as an example.

In the display state of the main screen M1, the CPU 105 determines whether any worker ID on the vertical axis is selected (step S31), and then determines which period on the horizontal axis is selected (step S32). Then, it is determined whether both the worker ID and the period have been selected (step S33).

As a result, when both are selected, the CPU 105 extracts data belonging to the selected worker ID from the rotation speed data D1 and the sewing operation time data D2 (step S34). The extraction method reads data from the head of each of the rotation speed data D1 and the sewing operation time data D2 to search for an operator ID. When the worker ID is detected, it is determined whether the worker ID is the selected worker ID, and the data up to the next worker ID is extracted and recorded only when it is the selected worker ID. The detection, determination, and data extraction of the worker ID are performed for the entire range of the rotation speed data D1, and the extracted whole data is stored in the RAM 106 as temporary extraction data.

Next, when the temporal extraction data is extracted, the CPU 105 extracts the extraction data belonging to the selection period (step S35).

In the extraction method, first, for the rotational speed data D1, when the section information is searched for and found from the head of the temporary extraction data, it is determined whether the time information included in the section information is within the selected period, Data up to the front of the partition information is extracted and recorded in the RAM 106, and this is repeated for each partition information. In this way, the worker ID selected for the rotation speed data D1 and the extraction data corresponding to the selection period are extracted.

Regarding the sewing operation time data D2, the data of each sewing operation time is read from the head of the temporary extraction data, and it is determined whether the time indicated by each data is within the selected period. Recorded at 106, is executed for the entire range of the temporally extracted data. Thus, the worker ID selected for the sewing operation time data D2 and the extraction data corresponding to the selection period are extracted.

In addition, when the process ID is selected on the vertical axis by the changeover switch M11, the CPU 105 determines whether the process ID is selected in the process of step S31, and the process ID of the selected process ID in the process of step S34. Extract temporal extraction data that belongs.

It goes without saying that multiple selections can be made for the worker ID, the process ID, and the period. In this case, the temporary extraction data and the extraction data are extracted for each selection ID and each period.

As described above, the CPU 105 functions as an "extraction processing means" by the processing shown in FIG.

(Process list)

On each display screen, there are tap switches M13 to M16 for switching the display categories, and by operating the mouse to these display screens, each display category of the main screen display, operation status monitor, sewing recording device, and pitch time monitor is displayed. It is possible to switch. When the display category is switched to the operational status monitor by the tap switch M14, a production quantity graph screen M3 (see FIG. 10), which will be described later, is displayed.

When a mouse operation is performed on the process detail list switch M35 displayed on such a production quantity graph screen M3, the process list screen M2 shown in FIG. 9 can be displayed. In such a process list screen M2, the correspondence relationship is shown by showing by process ID each process which the worker shown by the worker ID performed sewing. That is, the correspondence between the worker ID and the process ID is displayed in a tabular format by displaying the worker ID in the first column and the process ID belonging to each worker ID in the second column.

This correspondence relationship is determined by the CPU 105 reading the sewing operation time data D2 from the beginning, dividing the data for each worker ID, and identifying which process belongs to which process the data within the respective partitioned range belongs. By obtaining from the records, the correspondence between each worker ID and each process is obtained.

(Production quantity graph)

As described above, the production quantity graph screen M3 displays the production quantity of the sewing work unit for each worker ID in a bar graph in the range of the selected worker ID and the selection period. Here, the sewing work unit shall mean that one process is performed for one sewing object.

The bar graph for each worker ID in the production quantity graph screen M3 also displays the breakdown of the quantity for each process by color classification.

11 is a flowchart showing a graph display process of the production quantity graph screen M3. The CPU 105 performs the following processing for each extraction data extracted from the sewing operation time data D2 for each selection worker ID and selection period.

First, the CPU 105 reads out the extracted data from the beginning (step S41).

Then, in the process of reading from the beginning of the extracted data, the process ID is detected and data is partitioned for each process ID (step S42), and the number of times of sewing work time is counted for each section (step S43). ). Thereby, the corresponding quantity of each process can be calculated | required.

Then, the corresponding quantity for each process ID is totaled to calculate the production quantity for one selection period in the selected worker ID (step S44).

Then, the display height of the bar graph is obtained from the production quantity for one selection period in one selected worker ID, and the color classification width of each process is determined from the quantity for each process included therein, and the bar graph is displayed as a bar graph. (Step S45).

As described above, the CPU 105 functions as "sewing work unit counting means" by the processing shown in steps S41 to S44 shown in FIG. In addition, by the processing shown in step S45, the CPU 105 fulfills one function as "graph display means".

In addition, in the production quantity graph screen M3, the table which shows the numerical value of "average pitch time" and "sewing machine operation rate" which are parameters other than production quantity in the worker ID selected on the production quantity graph below the graph display position. The indication of M31 is made. By performing the display control of the table M31, the CPU 105 functions as "supplement table display processing means".

When a selection is made for the process ID on the main screen M1, in step S42, the worker ID is detected for the extracted data extracted based on each selection process ID and each selection period. In S43, as the number of times of sewing work time is counted for each worker ID, the bar graph display for each process ID is performed by color classification for each worker ID.

Further, in the production quantity graph screen M3, a mouse operation is performed to display the production quantity based on the process ID from the state of displaying the production quantity based on the worker ID within the range of extraction data. The changeover switch M32 for switching is displayed.

As illustrated in FIG. 12, the production quantity graph screen M4 switched by the changeover switch M32 is displayed in a state where the production quantity for each process ID is color-coded for each selected worker ID. The process ID in which the bar graph is displayed here is only the process ID related to the selected operator ID.

In other words, the CPU 105 divides the selection worker ID and the extraction data belonging to the selection period for each process ID, obtains the production quantity for each compartment, and classifies the bar graph by color for each process and displays it again. As a result, the CPU 105 fulfills one function as " second switching display control means ".

(Pitch diagram)

The display screen of each display category described above can be switched to another display screen within the category except for the common switch display area A on the left side of the screen. In the case where the display category is used as the operation status monitor, the switching switches M33 and M34 are provided in the common switch area A for switching the screen by the pitch diagram and the operation comparison graph. 13 is a display example of the pitch diagram screen M5 switched by the changeover switch M33.

The pitch diagram screen M5 calculates sewing time (pitch time) for each sewing work unit for each worker ID in the range of the selected worker ID and the selection period, and averages the sewing time for each worker ID. Is shown as a line graph.

Further, in the pitch diagram screen M5, an average value line M53 representing an average value of overall sewing time for the selected entire worker ID, and an upper limit line M54 and a lower limit line M55 obtained at a predetermined ratio from the average value. ) Is displayed. Here, it calculates by upper limit = average value / 0.85. Moreover, it calculates by a lower limit = average value x 2-an upper limit. In addition, an upper limit value or a lower limit value may be obtained by multiplying another predetermined ratio by the average value. Each of these lines M53 to M55 serves as a reference when the skill of each worker is measured.

14 is a flowchart showing graph display processing of the pitch diagram screen M5. The CPU 105 performs the following processing on each extraction data extracted from the sewing operation time data D2 for each selection worker ID and selection period.

First, the CPU 105 reads data of the sewing operation time from the beginning with respect to the extracted worker data for each selection worker ID and selection period (step S51).

Then, the sewing time is calculated from the sewing time before and after (step S52).

Furthermore, a process of excluding a value deviating from the sewing time required for each extracted data is performed (step S53). In principle, such processing is performed to calculate an average value in the range of 3 sigma, which will be described below. However, each sewing time may be averaged and a value deviating significantly from the average value may be excluded, and the sewing time may be 80 to 90% of each sewing time. Values that are averaged within the numerical range and greatly deviated from the mean value may be excluded, the standard deviation may be obtained, the deviation may be obtained by exclusion, and other known calculation methods may be used.

Next, the CPU 105 calculates an average value of each sewing time limiting the deviation value for each selected worker ID (step S54).

Here, an example in which the CPU 105 performs the processing of subtracting the deviation value and calculating the average value will be described in detail.

First, the standard deviation S is calculated for each worker ID in the range of the selected worker ID and the selection period. Standard deviation S is computed based on following formula (1)-(3). That is, the average value is calculated from the total sewing time required for each worker in the selection period. Here, the symbol x represents the sewing time required for each worker as a target, and x given the upper line represents the average value. In addition, the code | symbol n is the number of samples of sewing time of each worker.

The square deviation s ² is calculated from the obtained average value based on the following equation (2), and the standard deviation s is calculated from the square root based on the following equation (3).

[Equation 1]

Next, an average value in the 3σ range is calculated from the standard deviation s.

That is, + 3σ = (average of x) + (s × 3) and -3σ = (average of x)-(s × 3) are obtained, and they are within a range of ± 3σ (-3σ or more and + 3σ or less). Only sewing required time is extracted, and the average value is calculated again from the extracted sewing time. Values that are out of bounds by the mean processing can be excluded. Hereinafter, the average value of the sewing time required in the job analysis device 101 indicates a limit average value of the deviation value.

In addition, each of the lines M53 to M55 is displayed based on the average value of the deviation.

In addition, an example of the above process will be described using specific numerical values for reference.

The sewing time required during the selection period of one worker shall be as follows (sample number 15).

Sewing time (x): 411, 723, 110, 343, 38, 38, 40, 34, 32, 2518, 324, 404, 1115, 419, 237

mean value of x = (411 + 723 + 110 + 343 + 38 + 38 + 40 + 34 + 32 + 2518 + 324 + 404 + 1115 + 419 + 237) / 15

          = 281.73

Square deviation,

s ² = (411-281.73) ² + (723-281.73) ² +. / (15-1)

 = 148769.50

The standard deviation is

s = 385.71

+ 3σ,

+ 3σ = (average of x) + (s × 3)

    = 1438.85

-3σ,

-3σ = (average of x)-(s × 3)

    = -875.39

Sewing time within the range of ± 3σ is 411, 723, 110, 343, 38, 38, 40, 34, 32, 324, 404, 1115, 419, 237

therefore,

Mean value of sewing time in the range of ± 3σ = (411 + 723 + 110 + 343 + 38 + 38 + 40 + 34 + 32 + 324 + 404 + 1115 + 419 + 237) / 14

                                      = 193.43

In this way, the simple average value is 281.73, and the average value is 193.43 by limiting averaging of the above-described outliers.

As described above, when the average value is calculated, the CPU 105 multiplies a predetermined ratio from the average value to calculate an upper limit value (= mean value ÷ 0.85) and a lower limit value (= average value x 2-upper limit value).

Then, the average value of sewing time for each selected worker ID is plotted and displayed as a broken line graph, and the average value line M53 of the overall average value in the graph display area and the upper limit line M54 of the upper limit value, The lower limit line M55 of the lower limit is displayed (step S55).

As described above, by the processing shown in step S52 shown in FIG. 14, the CPU 105 functions as a "time required means". In addition, by the processing shown in steps S53 and S54, the CPU 105 functions as "averaging processing means". Further, the CPU 105 performs one function as a "graph display processing means" by displaying the average value line M53, the upper limit value line M54, and the lower limit value line M55 in the line graph display.

Moreover, in pitch diagram screen M5, the table (M51) which shows the numerical value of "total production quantity" and "sewing machine operation rate" which are parameters other than pitch time in the worker ID selected on the graph below the graph display position. The sign consists of. By controlling the display of such a table M51, the CPU 105 functions as "supplement table display processing means".

When a selection is made for the process ID on the main screen M1, in step S52, the sewing time is taken from the data of the sewing operation time for each extraction data extracted based on each selection process ID and each selection period. The other processing is almost the same as that of the worker ID.

Further, in the pitch diagram screen M5, a mouse operation is switched from a state of performing pitch diagram display based on the operator ID to a state of performing pitch diagram display based on the process ID within the range of the extraction data. A changeover switch M52 is shown to perform this.

In the pitch diagram screen M6 switched by the changeover switch M52, as shown in FIG. 15, the average value of sewing time for each process ID is displayed by a line graph display. The process ID in which the line graph display is performed here is only the process ID related to the selection worker ID.

In other words, the CPU 105 divides the selection worker ID and the extraction data belonging to the selection period for each process ID, obtains sewing sewing time for each section, and averages by subtracting the value outside sewing sewing time for each process. Plot the mean value for each process and redisplay the line graph. In addition, the point which displays a comprehensive average value and an upper / lower limit value is the same as FIG. As a result, the CPU 105 fulfills one function as " second switching display control means ".

(Comparison Graph)

When the display category is set as the operation status monitor, the operation comparison graph screen M7 is displayed by operating the switch M34 of the common switch area A with the mouse. 16 is a display example of the operation comparison graph screen M7 switched by the changeover switch M34.

The operation comparison graph screen M7 calculates the operating time and the non-operation time of each sewing work for each worker ID within the range of the selected worker ID and the selected period, and the total operating time and the total ratio ( Non-operational hours are calculated and their total time is displayed as a bar graph. In addition, the bar graph for each worker ID is displayed in color classification according to the ratio between the total operating time and the idle time. In addition, "run time" means the time in which the sewing machine motor was driven.

17 is a flowchart showing the graph display processing of the operation comparison graph screen M7. The CPU 105 performs the following processing on each extraction data extracted from the rotational speed data D1 for each selection worker ID and selection period.

First, the CPU 105 reads data from the head with respect to each extracted data for each selection worker ID and selection period (step S61).

Then, the partition information is sequentially detected, and the job duration time for each selected operator is obtained from the first partition information and the last partition information in the extracted data, and the total of the selected periods is calculated (step S62). In addition, "work monitoring time" is the time which the work is being performed by a sewing machine, and means the sum of an operation time and a down time.

In addition, when reading each extraction data, the number of data which shows rotation speed other than o [rpm] is counted (step S63), and the sampling cycle of sewing machine rotation speed is multiplied by the total count number for every worker ID. By doing so, the running total is calculated (step S64).

Then, the height of the bar graph is calculated by accumulating the work termination time for each selected worker ID, and the ratio of the operation time when the work termination time is 1 from the accumulation of the work termination time and the accumulation of the operation time is operated. The total value of the time ÷ the total value of the work termination time is calculated, the height of the uptime portion that is color-coded in the bar graph is calculated, and the bar graph is displayed for each worker ID (step S65). In addition, since the uptime included in the bar graph of the work closing time is classified by color, the remaining portion becomes the downtime, and as a result, the total of the downtime is also displayed in the bar graph.

In the process description, the calculation of the operation time of the operation comparison graph is calculated by multiplying the sampling number of the rotational speed other than 0 [rpm] by the sampling period, but the operation time is calculated in advance on the sewing machine side, It is recorded in the sewing operation time data D2, and even if these are accumulated, the same result as above can be obtained.

As described above, the CPU 105 functions as " accumulation time accumulation means " by the processing shown in steps S62 to S64 in FIG. In addition, by the processing shown in steps S53 and S54, the CPU 105 functions as "averaging processing means". In addition, the CPU 105 performs a function as a "graph display processing means" by displaying a bar graph of the job closing time in a state classified into an operating time and an idle time.

Moreover, in the operation comparison graph screen M7, the table which shows the numerical value of "total amount of production" and "average pitch time" which are parameters other than the operation rate in the worker ID selected on the graph below the graph display position (M71). ) Is displayed. By performing the display control of the table M71, the CPU 105 functions as "supplement table display processing means".

When the selection is made for the process ID on the main screen M1, in step S62, the work duration time is calculated and accumulated for each selection process with respect to the extracted data extracted based on each selection process ID and each selection period. The running time is accumulated from the extraction data extracted based on each selection process ID and each selection period. The other processing is almost the same as that of the worker ID.

Further, in the operation comparison graph screen M7, the operation comparison display based on the process ID is performed from the state of performing the operation comparison display based on the worker ID within the range of the extraction data by the mouse operation. The changeover switch M72 is shown for performing the changeover.

In the operation comparison graph screen M8 switched by the changeover switch M72, as shown in Fig. 18, the operation comparison for each process ID is displayed in a bar graph display. The process ID in which the bar graph display is performed here is only the process ID related to the selection worker ID.

In other words, the CPU 105 divides the extraction data belonging to the selection worker ID and the selection period for each process ID, obtains the work duration time and the operation time within the range of each zone, and further calculates the work duration time and the operation time for each process. The results are collected and the bar graph is displayed again for the operation comparison for each process. In addition, the point which classifies the operation time and the rest time by color is the same as that of FIG. As a result, the CPU 105 fulfills one function as " second switching display control means ".

(Sewing recorder)

When one or two kinds of extraction data are selected and the tab switch M15 is operated with a mouse, the display category becomes the sewing recording apparatus, and the sewing recording apparatus screen M9 is displayed. 19 is a display example of a sewing recording apparatus screen M9.

The sewing recording device screen M9 is a line graph of the operation waveform of the sewing machine showing the temporal change of the sewing machine rotational speed, respectively, for the two types of extraction data based on the rotational speed data D1 in which the worker ID and the period are selected. It is shown as.

At the time of displaying the sewing recording device screen M9, the CPU 105 reads out one piece of extraction data based on the two selected rotational speed data D1 (if only one piece of selected extraction data is read, one is read). ), And the data of the rotation speed contained therein are plotted in an arrangement order, and a straight line between them is formed, and an operation waveform graph of the sewing machine is formed on one or two kinds of extracted data.

When the operating waveform graphs of the two sewing machines are displayed, the display is performed to match the recording start time of the number of revolutions. By selecting only one graph with a mouse, the operating waveform graph of the sewing machine is adjusted in the time axis direction. Can be. In addition, since the operating waveform graphs of all sewing machines may not be displayed in the display area of the operating waveform graph of the sewing machine, it is necessary to scroll the operating waveform graphs of the two sewing machines at the same time by operating the mouse on the display scroll switch M91. It is possible.

In addition, by changing the horizontal axis setting every section, the operation waveform for one sewing can be displayed on the graph. Here, more than every two sections can be selected, and the sewing work for the selected section is displayed as the operation waveform.

In addition, the method of selecting two pieces of extracted data in which the operation waveform graph display of the sewing machine is displayed on the sewing recording device screen M9 is also possible by selecting two sets of combinations of the worker ID and the period from the main screen M1. It is also possible to select from the quantity graph screen M3, the pitch diagram screen M5, and the operation comparison graph screen M7.

That is, (1) 1 or 2 of each bar graph display on the production quantity graph screen M3 is selected by mouse operation, and (2) 1 or 2 of the plot points on the pitch diagram screen M5 are mouse operated. (3) Select one or two of each bar graph display on the operation comparison graph screen M7 by mouse operation, and then perform a mouse operation on the tap switch M15 to select two extracted data. The selection is made, and the CPU 105 executes the display processing of the operation waveform graph of the sewing machine based on the one or two pieces of extracted data.

Accordingly, when the CPU 105 is performing graph display of any one of the production quantity graph screen M3, the pitch diagram screen M5, or the operation comparison graph screen M7, the tap switch M15 is connected to the tap switch M15. Function as a " third switch display control means " for receiving an input of a switch instruction and switching to display of an operating waveform graph of the sewing machine indicating a change in the sewing machine revolution speed.

In the sewing recording apparatus screen M9, a display of a table M92 showing numerical values of "segment time" and "sewing machine operation rate" which are parameters other than the rotation speed in each selected operator ID is displayed below the graph display position. consist of. By controlling the display of such a table M92, the CPU 105 functions as "supplement table display processing means".

In addition, when a selection is made for the process ID on the main screen M1, a rotational speed change is required for each selection process with respect to the extraction data extracted based on each selection process ID and each selection period, and thus the operating waveform graph of the sewing machine. Is made.

In addition, the sewing recording device data (data used in this process) can be processed into a predetermined file format (e.g., csv file, etc.) by the file output switch and written to the HD device 10 or the flash memory 36. It is supposed to be.

(Action type indication)

In the case where the display category is set as the sewing recording apparatus, the behavior type display screen M10 is displayed by operating the switch M93 in the common switch area A with the mouse. 20 is a display example of the behavior type display screen M10 switched by the changeover switch M93.

The behavior type display screen M10 performs a display of the behavior type graph based on one or two pieces of extracted data selected for displaying the operation waveform graph of the sewing machine on the sewing recording device screen M9.

This type of behavior type graph is a graph showing a breakdown analysis of the running time for each rotational speed in a predetermined period of sewing work.

At the time of displaying the behavior type display screen M10, the CPU 105 reads out two pieces of extracted data one by one based on the selected rotational speed data D1 (if only one piece of selected extracted data is read, one is read). The number of data is counted for each rotation speed with respect to the data of the rotation speed contained therein. Then, the respective counts of the data for each revolution are multiplied by the sampling period of the revolutions in the sewing machine, and the total of the driving time is calculated for each revolution. Then, the driving time of each rotational speed is plotted, and a straight line between them is formed, and a behavior type broken line graph of the sewing machine is formed on one or two kinds of extraction data.

In addition, on the behavior type display screen M10, a behavior type table M101 displaying samples of various behavior type line graphs and improvement points for each type is adjacent to the display area of each behavior type line graph. The table is used to determine if it is close to the sample, so that the improvement point can be referred to.

In addition, when a selection is made for the process ID on the main screen M1, in step S62, data indicating the rotational speed is read out for the extracted data extracted based on each selection process ID and each selection period, It counts for each rotation speed, and calculates the total of drive time for every rotation speed. The other processing is almost the same as that of the worker ID.

(Pitch Time Monitor)

When one type of extraction data is selected and the tap switch M16 is operated with a mouse, the display category becomes the pitch time monitor, and the pitch time monitor screen M11 is displayed. 21 is a display example of a pitch time monitor screen M11.

This pitch time monitor screen M11 displays the number of production for each time in the selection period in bar graphs with respect to the extraction data based on the sewing operation time data D2 in which the worker ID and the period are selected.

At the time of displaying the pitch time monitor screen M11, the CPU 105 reads out extraction data based on the selected sewing time data D2, so that one piece of data of sewing time included therein is read. It determines which one of the time zones has a constant time width and counts the number of data belonging to each time zone. Then, the number of data is displayed in a bar graph for each time zone.

In addition, since not all bar graphs may be displayed in the graph display area of the pitch time monitor screen M11, each bar graph can be scrolled in the arrangement direction by a mouse operation on the display scroll switch M111. It is.

In the pitch time monitor screen M11, section selection switches M112 and M113 for selecting a plurality of bar graphs in a selection section and a graph selection switch M114 for selecting a single bar graph are displayed. Further, in the pitch time monitor screen M11, the production quantity and average pitch time (the method of calculating the pitch time in the selection section from the sewing operation time data belonging to the plurality of bar graphs selected by the section selection switches M112 and M113 are described above). And reference data table M115 which displays the production quantity of the time zone and the time of the time zone from the sewing operation time data belonging to the single bar graph selected by the graph selection switch M114.

In addition, the selection method of the single extraction data in which the bar graph is displayed on the pitch time monitor screen M11 can also be selected from the combination of the operator ID and the period from the main screen M1. It is also possible to select from the pitch diagram screen M5 and the operation comparison graph screen M7.

That is, (1) selecting one of the bar graph displays on the production quantity graph screen M3 by mouse operation, (2) selecting one of the plot points on the pitch diagram screen M5 by mouse operation, and (3) After performing any one of the selection of each bar graph display on the operation comparison graph screen M7 with a mouse operation, the single switch data is selected by mouse operation of the tap switch M16, and the CPU 105 makes such a selection. Based on one piece of extracted data, display processing of each bar graph on the pitch time monitor screen M11 is executed.

Accordingly, when the CPU 105 is performing graph display of any one of the production quantity graph screen M3, the pitch diagram screen M5, or the operation comparison graph screen M7, the tap switch M16 causes the graph to be displayed. It functions as a "first switching display control means" which receives an input of a switching instruction and switches to a bar graph display indicating the production quantity for each elapse of sewing operation time for one piece of extraction data.

When a selection is made for the process ID on the main screen M1, the production quantity for each time is calculated for the extracted data extracted based on the selection process ID and the selection period, and the pitch time monitor screen M11 is obtained. The display of a plurality of histograms is made.

(Pitch time frequency mode)

When the display category is set to the pitch time monitor, the pitch time frequency mode screen M12 is displayed when the mouse is operated by the switch M116 for graph display. 22 is a display example of a pitch time frequency mode screen M12.

The pitch time frequency mode screen M12 displays the production quantity for each sewing time in a bar graph with respect to the extraction data based on the sewing operation time data D2 in which the worker ID and the period are selected.

When the pitch time frequency mode screen M12 is displayed, the CPU 105 reads out extraction data based on the selected one sewing time data D2, and the time difference between the sewing work times arranged before and after included therein. Each sewing time is calculated from Then, it is judged which of the sewing time zones has a fixed time width, and the number of data belonging to each time zone is counted. The number of data is displayed in a bar graph in each time zone.

Also, since not all bar graphs may be displayed in the graph display area of the pitch time frequency mode screen M12, each bar graph can be scrolled in the arrangement direction by a mouse operation on the display scroll switch M121. It is supposed to be.

In the pitch time frequency mode screen M12, section selection switches M122 and M123 for selecting a plurality of bar graphs in a selection section and a graph selection switch M124 for selecting a single bar graph are displayed. Further, in the pitch time frequency mode screen M12, the pitch time frequency and the average pitch time (pitch time) which are the production quantities in the selected section from the sewing operation time data belonging to the plurality of bar graphs selected by the section selection switches M122 and M123. The calculation method of is the same as described above) and a reference data table displaying the pitch time frequency, which is the production quantity of the sewing time zone, and the corresponding sewing time, from the sewing operation time data belonging to the single bar graph selected by the graph selection switch M124. A display of M125 is performed.

In the case where selection is made on the process ID in the main screen M1, the production quantity for each sewing time is calculated for the extracted data extracted based on the selection process ID and the selection period, and the pitch time frequency mode A plurality of bar graphs are displayed on the screen M12.

Further, on the pitch time monitor screen M11 and the pitch time frequency mode screen M12, the detailed data list switch M117 is displayed in the common switch area A. FIG. When the detailed data list switch M117 is operated by a mouse, the contents of the data are displayed in a tabular form with respect to the sewing data D. FIG. In addition, since the data itself is nothing more than a set of numbers and symbols, it is processed and displayed so that the contents can be visually grasped in a table indicating what each of the numbers and symbols means. In addition, such detailed data is processed by the file output switch M118 into a predetermined file format (e.g., a CSV file) and can be written to the HD device 108 or the flash memory 36.

(Effects of Embodiments of the Invention)

In the job analysis system 100 of the sewing machine, in the job analysis device 101, an operator ID or a process is performed from the main screen M1 with respect to the plurality of record data D acquired from the plurality of production management sewing machines 10. When the selection of the specific information and the period of the ID is made, the corresponding extraction data is extracted, and each extraction data is displayed on the monitor 103 which is the display means in the predetermined graphs M1 to M12.

Accordingly, even when a plurality of workers use a single production management sewing machine 10, various graphs can be displayed for each worker ID. This makes it easy to evaluate the skills of each worker.

Furthermore, data can be extracted based on the process ID, not limited to the worker ID, so even if a plurality of work processes are performed in the production control sewing machine 10 having a single or plural process, the data of the work process required for the analysis Only a graph can be graphed, and it becomes easy to evaluate the work efficiency for each work process (work classification).

In addition, even when a plurality of sewing machines share a plurality of work processes (work classifications) by a plurality of sewing machines and are responsible for the completion of the product, the sewing state and the achievement state for each worker or work process can be grasped, and the overall efficiency It is possible to easily grasp the cause of the deterioration, and to optimize the arrangement of the human resources and the appropriate number of people to be put into each process, thereby improving the efficiency of the sharing work.

In addition, the pitch diagram screen M5 can quickly display the average value of sewing time in the selected worker ID or process ID, so that the skill of each worker and the work efficiency for each work process (work classification) can be evaluated. It is easier to do the following.

In this case, a process of subtracting and averaging the deviation value with respect to the sewing time is performed, so that the influence of the time loss due to unexpected factors (eg, thread cutting, thread entanglement, thread exchange, etc.) in the sewing operation can be effectively eliminated. It is possible to more accurately grasp the skill of each worker and the smoothness of work for each work process.

In addition, in the production quantity graph screens M3 and M4, the production quantity can be individually obtained for each selected worker ID or process ID and displayed as a bar graph. Further, when the worker ID (process ID) is selected, Since the bar graph displays the details of the process ID (worker ID) in the production quantity in color, for example, it is possible to simultaneously grasp the skill of each worker and the smoothness of work for each work process. Relevance can also be identified. This enables more accurate analysis.

In addition, the pitch time monitor M11 and the pitch time frequency are displayed for the production quantity graph screens M3 and M4, the pitch diagram screens M5 and M6, and the operation comparison graph screens M7 and M8 while the graph is displayed. Since it is possible to switch to the mode screen M12, the pitches of the production quantity and the quantity of production every time the sewing operation time for these IDs have elapsed by the above-mentioned switching even while the specific information about the worker ID or the process ID is confirmed in a graph. Time frequency distribution can be confirmed quickly, and a more accurate analysis becomes possible.

In addition, on the operation comparison graph screens M7 and M8, the ratio of the operating time and the idle time to the selected worker ID or the process ID is displayed as a bar graph, so that the operation rate can be known for each worker or work process, and thus the work efficiency can be improved. It can be used to identify the cause of the height. This enables more accurate analysis.

In addition, the production quantity graph screen (M3), the pitch diagram screen (M5) and the operation comparison graph screen (M7) of the worker ID are selected, the production quantity graph screen (M4), the pitch diagram screen (M6) and the operation of the process ID are selected. Since it is possible to switch to the comparison graph screen M8 (or vice versa), it is possible to know the relationship between the worker and the work classification, and to grasp the mutual influence on the efficiency and the like. This enables more accurate analysis.

In addition, the production quantity graph screens M3 and M4, the pitch diagram screens M5 and M6, the operation comparison graph screens M7 and M8, and the sewing recording device screen M9 are included in the extracted data while the graph is displayed. There are cases in which items that are not reflected in the display may occur. Since the items are displayed in a tabular form by arrangements avoiding the graphs, a large amount of information can be recognized at the same time, thereby enabling more accurate analysis.

In addition, the production quantity graph screens M3 and M4, pitch diagram screens M5 and M6, and the operation comparison graph screens M7 and M8 are displayed on the sewing recording device screen M9 and the behavior type. Since the screen can be switched to the separate graph screen M10, even if the specific information about the worker ID or the process ID is checked in the graph, the change can be used to quickly check the rotation speed and the behavior type of the ID. More accurate analysis is possible.

1 is a block diagram showing a schematic configuration of a work analysis system of a sewing machine.

2 is a block diagram illustrating a schematic configuration of a job analysis system 100 including a production management sewing machine 10.

3 is an explanatory diagram showing a recording structure of rotational speed data and sewing operation time data constituting recording data.

4 is a process chart showing each step from the start of sewing of the pants to completion.

Fig. 5 is a flowchart showing processing performed based on a recording processing program of recording data executed by the CPU of the production management sewing machine.

6 is a display example of a main screen.

Fig. 7 is a flowchart showing display processing performed by the CPU on the main screen.

8 is a flowchart showing the selection processing performed by the CPU on the main screen.

9 is a display example of a process list screen.

10 is a display example of a production quantity graph screen.

11 is a flowchart showing a graph display process of the production quantity graph screen.

12 is an example of display after switching identification information on the production quantity graph screen.

13 is a display example of a pitch diagram screen.

14 is a flowchart showing the graph display processing of the pitch diagram screen.

15 shows an example of display after switching identification information on the pitch diagram screen.

16 is a display example of an operation comparison graph screen.

17 is a flowchart showing the graph display processing of the operation comparison graph screen.

18 shows an example of display after switching identification information on the operation comparison graph screen.

19 is a display example of a sewing recording apparatus screen.

20 shows an example of the behavior type display screen.

21 is a display example of a pitch time monitor screen.

22 is a display example of a pitch time frequency mode screen.

Explanation of symbols on the main parts of the drawings

10: Production management sewing machine

36 flash memory (data acquisition means)

37: reading device (data acquisition means)

101: work analysis device

103: monitor (display means)

105: CPU (extraction processing means, graph display processing means)

109 read device (data acquisition means)

D: historical data

M1: Main screen (selection means)

Claims (8)

A work analysis device of a sewing machine for performing a graph display while controlling the display means by aggregating record data acquired from a plurality of sewing machines,  The change of the rotation speed of the sewing machine and the sewing operation time of each sewing operation unit are recorded in time series, and the identification information consisting of a plurality of worker specific information and a plurality of work classification specific information is inserted in time series according to a set time point. Data acquisition means for acquiring recorded data; Selecting means for selecting any of a plurality of worker-specific information or a plurality of job classification-specific information from the identification information and selecting any one of the data recording periods; Extraction processing means for extracting a corresponding portion of each record data from a plurality of worker specifying information or a plurality of work classification specifying information and selection period selected by said selecting means; And a graph display processing means for displaying the extracted data on the display means in a predetermined graph. The method of claim 1, A time calculation means for obtaining a sewing time required for each sewing work unit from the sewing work time of each sewing work unit included in the extraction data corresponding to the selection condition selected by the selection means; Averaging processing means for subtracting a value outside the sewing time for each selected identification information and calculating an average value; The graph display processing means arranges and displays the average value of sewing time of each piece of identification information, and displays the average value line representing the average value of the sewing time required for the selected pieces of identification information and the average value of all pieces of identification information. And an upper limit line and a lower limit line which are increased or decreased at a predetermined ratio with respect to the graph. The method according to claim 1 or 2, The quantity of production of the sewing work unit is individually obtained for the plurality of selected identification information from the sewing work time of each sewing work unit included in the extraction data corresponding to the selection condition selected by the selecting means, and the respective identification information And a sewing work unit counting means for obtaining the respective quantity, which is a description of the identification information of the unselected side in the production quantity of The graph display processing means, when displaying the production quantities for the plurality of pieces of identification information of the extracted data in a bar graph, separately obtained for individual information not selected from each worker specific information and each job classification specific information. Work analysis apparatus for a sewing machine, characterized in that to distinguish the display mode of the bar graph to identify the corresponding quantity. The method of claim 3, wherein In the case where the identification information of either one is graphically displayed as a parameter by the graph display processing means, an input of a switching instruction is received to indicate a production quantity for each passage of sewing work time for a plurality of identification information of the extracted data. And a first switch display control means for switching to a bar graph display. The method according to claim 1 or 2, And a running time accumulating means for accumulating the running time and the resting time for each identification information selected from the change in the rotational speed of the sewing machine included in the extraction data corresponding to the selection condition selected by the selecting means, Wherein the graph display processing means, the operation analysis device of the sewing machine, characterized in that for displaying a bar graph distinguishing the display mode so that the ratio of the accumulated running time and the idle time can be identified. The method according to claim 1 or 2, Second switching display control means for receiving the input of the switching instruction and converting the identification information of either one into a graph display using the other identification information as a parameter when the graph is displayed as a parameter by the graph display processing means; Work analysis device of the sewing machine characterized in that it comprises a. The method according to claim 1 or 2, And a supplementary table display processing means for displaying on the display means in a tabular form avoiding the graph with respect to items included in the extracted data and not reflected in the graph display by the display processing means. . The method according to claim 1 or 2, In the case where the identification information of either one is graphically displayed as a parameter by the graph display processing means, a display of a waveform graph indicating a change in the number of revolutions of the sewing machine included in the extracted data is received in response to a switch instruction. And a third switch display control means for switching.

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