EP2436816B1 - Sewing machine work analyzing device and sewing machine work analysis method - Google Patents

Sewing machine work analyzing device and sewing machine work analysis method Download PDF

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Publication number
EP2436816B1
EP2436816B1 EP11183220.0A EP11183220A EP2436816B1 EP 2436816 B1 EP2436816 B1 EP 2436816B1 EP 11183220 A EP11183220 A EP 11183220A EP 2436816 B1 EP2436816 B1 EP 2436816B1
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Prior art keywords
time
work
pitch
work time
irregular
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German (de)
English (en)
French (fr)
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EP2436816A1 (en
Inventor
Masami Minami
Masahiko Ueta
Natsuko Yashiro
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Juki Corp
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Juki Corp
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    • D—TEXTILES; PAPER
    • D05—SEWING; EMBROIDERING; TUFTING
    • D05B—SEWING
    • D05B19/00—Programme-controlled sewing machines
    • D05B19/02—Sewing machines having electronic memory or microprocessor control unit
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0633—Workflow analysis

Definitions

  • the present invention relates to a sewing machine work analyzing device and a sewing machine work analysis method as defined in the preambles of claims 1 and 15.
  • a production process control system is known from EP 0 160 317 A2 .
  • a conventional sewing machine work analyzing device measures and calculates, for example, transition of the number of rotations of the upper shaft of a sewing machine with elapse of time and indexes relating to production efficiency such as the number of workpieces per unit time, and informs a user of quantified results or graphs of results by displaying these on an operation panel.
  • Patent Document 1 discloses a sewing machine work analyzing device that records changes in the number of rotations of a sewing machine and sewing work times for individual sewing work units in a time-oriented manner.
  • the sewing machine work analyzing device described in Patent Document 1 measures sewing machine working situations of operators at a sewing plant and indicates a pitch diagram. Accordingly, from a work time that an operator needs to perform one process, process allocation (line balance) can be checked. In addition, progress management for grasping a status of the sewing work achievement can be performed. Further, actions of an operator can be analyzed by graphically indicating the sewing speed in a time-oriented manner.
  • Patent Document 2 discloses a sewing machine production management device in which a push-button switch is disposed near a sewing operator and the push-button switch is pressed each time the sewing operator performs a sewing work of one process.
  • the sewing machine production management device described in Patent Document 2 measures pitch times of one process by measuring intervals of times at which the push-button switch is pressed. Further, instead of the push-button switch, from time intervals of thread-cutting signals of the sewing machine, the pitch times are measured.
  • Patent Document 3 discloses a sewing machine sewing recording device that records drive/stop of a sewing machine motor and a rotation speed when driving and indicates these as a graph showing time on the horizontal axis and the number of rotations on the vertical axis.
  • the pitch time is a time interval from thread cutting to the next thread cutting of a sewing machine.
  • the pitch time is defined as showing a time from thread cutting to the next thread cutting, however, the definition of the pitch time is not limited to this.
  • the pitch time may be, for example, a period from a timing at which an operator takes a cloth that has not been sewn yet to a timing at which the operator places the sewn cloth.
  • the pitch time means a period (one cycle) that can represent one time of sewing work.
  • definition of the pitch time as a time from thread cutting to the next thread cutting is preferable because the pitch time can be easily calculated.
  • the regular work times are work times that occur in every process of processing a product, including the times of operator's works of taking a cloth that has not been sewn yet (taking a cloth), sewing the cloth with a sewing machine, turning the workpiece, sewing with the sewing machine, and placing the workpiece.
  • the irregular work times are work times that occur irregularly in one process of processing a product except for the works that occur in every process, including the times of operator's works of carrying a product (workpiece) and correcting a defective product, the times of failures due to thread breakage or needle breakage, holding a meeting for arrangement and consultation, entry in a sewing record sheet, looking away, and talking, etc.
  • the ratio of the irregular work times to the regular work times is referred to as "idle ratio.”
  • the productivity can be improved by lowering (reducing) the idle ratio.
  • Figs. 1A and 1B are diagrams showing work times of an operator.
  • Fig. 1A shows pitch times when regular works are repeated
  • Fig. 1B shows pitch times when an irregular work is inserted.
  • an operator performs sewing by repeating works of taking a cloth that has not been sewn yet, sewing the cloth, turning the cloth, sewing the cloth, placing the sewn cloth, taking a cloth that has not been sewn yet, sewing. Sewing of one cloth in regular works is from the work of taking the cloth that has not been sewn yet to the work of placing the sewn cloth. Sewing of one cloth is as described above.
  • the "pitch time" that an operator needs to perform a sewing work of one process is measured as a time interval from thread cutting to the next thread cutting of a sewing machine.
  • the pitch time when an irregular work is inserted is shown in Fig. 1B .
  • an irregular work here, waiting for thread replacement
  • the work time of the operator is a time obtained by adding the irregular work to the regular works.
  • the pitch time is a time interval from thread cutting to the next thread cutting of a sewing machine, so that when an irregular work is inserted, the pitch time of the works becomes longer.
  • the "sewing work" is influenced by the skill of an operator, but the work time thereof has fewer variations.
  • An object of the present invention is to provide a sewing machine work analyzing device and a sewing machine work analysis method by which "regular work times" necessary for processing products and other "irregular work times" are automatically classified.
  • a sewing machine work analyzing device includes: a pitch time measuring means for measuring a pitch time; a pitch time frequency distribution calculating means for calculating a pitch time frequency distribution based on the measured pitch time; a work time classifying means for classifying a work time into a regular work time and an irregular work time based on the calculated pitch time frequency distribution; and an output means for outputting the classified regular work time and irregular work time in an identifiable manner.
  • a sewing machine work analysis method includes: measuring a pitch time; calculating a pitch time frequency distribution based on the measured pitch time; classifying a work time into a regular work time and an irregular work time based on the calculated pitch time frequency distribution; and outputting the classified regular work time and irregular work time in an identifiable manner.
  • all work times of an operator can be collected and automatically classified into “regular work times” necessary for processing products and other "irregular work times” based on the tendency of the work time data, and the "idle ratio" as a ratio of the irregular work times to the regular work times can be calculated.
  • the work time for man-powered investigation using a stop watch, etc. can be omitted.
  • the production situation can be grasped by observing the ratio of the regular work times as times necessary for processing products, and this can lead to the discovery of and a countermeasure in response to a sewing machine in question in a production line. Further, the levels of the skills of operators can be known, and wasteful work times can be known.
  • Fig. 2 is a view showing an entire configuration of a sewing machine work analyzing system according to a first embodiment of the present invention.
  • the present embodiment is an example of application to a sewing machine work analyzing system that calculates "regular work time,” “irregular work time,” and “idle ratio.”
  • a time necessary for an operator to perform a sewing work of one process is referred to as a pitch time. Processes are allocated so that the pitch time is 30 to 120 seconds, generally. Sewing works are performed by humans, so that the pitch time varies by approximately 5 seconds.
  • the sewing machine work analyzing system includes a plurality of sewing machines 1, 2... N, a router 10 that connects the sewing machines 1, 2... N, and a work analyzing device 100 that collects and analyzes information of the sewing machines 1, 2... N connected via the router 10.
  • the router 10 may be a wired LAN or a wireless LAN.
  • a personal computer or work station is used as the sewing machine work analyzing device 100.
  • Fig. 3 is a block diagram showing a configuration of the sewing machine work analyzing device.
  • the sewing machine work analyzing device 100 includes a pitch time gauge 110, a pitch time frequency distribution calculator 120, a work time classifier 130, an idle ratio calculator 140, and an output section 150.
  • the pitch time gauge 110 measures a pitch time that is a time interval from thread cutting to the next thread cutting of a sewing machine by using operation start/stop/thread cutting signals of the sewing machine.
  • the pitch time gauge 110 measures pitch times from the time intervals of thread cutting signals output from the sewing machines 1, 2... N.
  • the pitch time gauge 110 measures pitch times of one process by measuring time intervals of depressing the of press-button switches provided in the sewing machines or near the sewing machines and connected to the router 10.
  • the pitch time frequency distribution calculator 120 calculates pitch time frequency distributions based on the pitch times measured by the pitch time gauge 110.
  • the pitch time frequency distribution calculator 120 extracts work time data whose occurrence frequency is high from the pitch time data measured a plurality of times.
  • the work time classifier 130 classifies the work times into regular work times and irregular work times based on the calculated pitch time frequency distributions.
  • the work time classifier 130 includes a data search section 131, an average calculator 132, a regular work time calculator 133, and an irregular work time calculator 134.
  • the data search section 131 searches for a data range of a highest frequency value or the largest number of data from the created pitch time frequency distributions.
  • the average calculator 132 calculates an average of the pitch times from measurement data belonging to the searched data range.
  • the regular work time calculator 133 calculates a regular work time based on a product of the calculated average and the production quantity.
  • the irregular work time calculator 134 calculates an irregular work time by subtracting the calculated regular work time from the total work time of the operator.
  • the idle ratio calculator 140 calculates an idle ratio from a ratio of the irregular work time to the regular work time.
  • the output section 150 outputs the classified regular work times and irregular work times and/or the idle ratio in an identifiable manner.
  • the output section 150 outputs a ratio of the calculated regular work time to a total working time or to the irregular work time.
  • the output section 150 outputs work analysis results for comparison of idle ratios calculated from a single sewing machine or a plurality of sewing machines in the single sewing machine or among the plurality of sewing machines.
  • the output section 150 includes, for example, a display/printing section that displays/prints analysis results, an output port that outputs analysis results to an external memory, etc., or a communicator that transmits analysis results by wire or wirelessly.
  • the sewing machine work analyzing device 100 collects all work times of an operator, automatically classifies the work times into "regular work times” that occur in every process of processing a product and other "irregular work times” from the tendencies of the work time data, and calculates an "idle ratio" as a ratio of the irregular work times to the regular work times.
  • Figs. 4A and 4B are flowcharts showing a work analyzing operation of the sewing machine work analyzing device 100, and Fig. 4A shows an entire flow, and Fig. 4B shows a flow of calculation of regular work times/irregular work times.
  • S denotes each step of the flow.
  • the pitch time gauge 110 measures pitch times by using signals of operation start, operation stop and thread cutting of a sewing machine.
  • the thread cutting signal is a thread cutting signal from the sewing machine or a detection signal of the press-button switch to be operated by an operator when cutting a thread.
  • the pitch time frequency distribution calculator 120 calculates pitch time frequency distributions based on the pitch times measured by the pitch time gauge 110.
  • the pitch time frequency distribution calculator 120 extracts work time data whose occurrence frequency is high from the pitch time data measured a plurality of times.
  • the work time classifier 130 classifies the work times into regular work times and irregular work times based on the calculated pitch time frequency distributions.
  • the idle ratio calculator 140 calculates an idle ratio from a ratio of the irregular work times to the regular work times.
  • Step S5 the output section 150 outputs the classified regular work times and irregular work times and/or the idle ratio in an identifiable manner, and then, this flow is ended.
  • the data search section 131 searches for a data range of a highest frequency value or the largest number of data from the created pitch time frequency distributions.
  • the average calculator 132 calculates an average of the pitch times from measurement data belonging to the searched data range.
  • the regular work time calculator 133 calculates a regular work time based on a product of the calculated average and the production quantity.
  • the irregular work time calculator 134 calculates an irregular work time by subtracting the calculated regular work time from the total work time of the operator.
  • Figs. 5A and 5B are diagrams showing pitch time frequency distributions of Example 1 of the sewing machine work analyzing device 100, and Fig. 5A shows an example of pitch time frequency distributions, and Fig. 5B shows values at a selected position or in a selected section of the frequency distributions.
  • Figs. 6A and 6B are diagrams showing a regular work time data range of Example 1 of the sewing machine work analyzing device 100, and Fig. 6A shows an example of a regular work time data range, and Fig. 6B shows values at a selected position or in a selected section of the data range.
  • Figs. 7A and 7B are diagrams showing pitch time frequency distributions in units of 1 second of Example 2 of the sewing machine work analyzing device 100, and Fig. 7A shows an example of the pitch time frequency distributions in units of 1 second, and Fig. 7B shows values at a selected position or in a selected section of the frequency distributions.
  • Figs. 8A and 8B are diagrams showing a data range of the largest number of data of Example 2 of the sewing machine work analyzing device 100, and Fig. 8A shows an example of the data range of the largest number of data, and Fig. 8B shows values at a selected position or in a selected section in the data range.
  • Fig. 9 is a diagram showing extraction of measurement data of average ⁇ in Example 3 of the sewing machine work analyzing device 100.
  • idle ratios are calculated.
  • An idle ratio is calculated based on a ratio of a total irregular work time to a total regular work time according to the following equation (4).
  • Idle ratio % Total irregular work time sec / Total regular work time sec ⁇ 100
  • Figs. 10A and 10B are views showing calculation of idle ratios of a plurality of sewing machines.
  • a total regular work time and a total irregular work time of each of the selected sewing machines are calculated. Calculations of a total regular work time and a total irregular work time are described above. As shown in Fig. 10B , the idle ratio is calculated from a ratio of the total irregular work time to the total regular work time.
  • Fig. 11 and Fig. 12 are views showing comparison of idle ratios
  • Fig. 11 shows comparison in idle ratio among sewing machines
  • Fig. 12 shows comparison in idle ratio among production lines.
  • the calculated idle ratios can be compared among the sewing machines or among the production lines each consisting of the plurality of sewing machines.
  • the sewing machine A, the sewing machine B, and the sewing machine C have idle ratios smaller than an average, and it is proved that among these, the sewing machine B has an idle ratio of 25% (refer to the circle in Fig. 11 ) and is excellent in production efficiency.
  • the production line C, the production line D, and the production line E are production lines having idle ratios smaller than an average.
  • the regular work times occur in every process of processing a product and are necessary for the work, and the irregular work times are distinguished as times that are not always necessary other than the regular work times.
  • the distinction criteria (as to whether the work is necessary) differ depending on the plant management method and the analysis viewpoint of a person in charge of management.
  • a person A does both a sewing work and a clerical work.
  • the clerical work does not occur in every process of sewing, however, it is a necessary work. Therefore, it is desired to select a time during which the person A does a clerical work among irregular work times and include the clerical work in a regular work time.
  • Figs. 13A to 13C are diagrams showing editing of regular work time classification.
  • a target sewing machine is selected, and pitch time frequency distributions of regular work times and irregular work times automatically extracted from the selected sewing machine are indicated.
  • the editing operations (1) to (3) are examples of editing.
  • Fig. 14 is a diagram showing transition of an idle ratio.
  • a sewing machine is regarded as a target
  • an idle ratio of the target sewing machine is calculated at fixed time intervals, and transition of the idle ratio can be confirmed graphically.
  • an idle ratio automatically calculated from a production line consisting of a plurality of sewing machines may be calculated at fixed time intervals, and transition thereof may be confirmed graphically.
  • the sewing machine work analyzing device 100 of the present embodiment includes a pitch time gauge 110 that measures pitch times as time intervals from thread cutting to the next thread cutting of a sewing machine, and a pitch time frequency distribution calculator 120 that calculates pitch time frequency distributions based on the measured pitch times.
  • the sewing machine work analyzing device 100 includes a work time classifier 130 that classifies work times into regular work times and irregular work times based on calculated pitch time frequency distributions, and an idle ratio calculator 140 that calculates an idle ratio from a ratio of the irregular work times to the regular work times.
  • the output section 150 outputs the classified regular work times and irregular work times and/or an idle ratio in an identifiable manner.
  • the sewing machine work analyzing device 100 collects all work times of an operator, automatically classifies the work times into “regular work times” necessary for processing products and other "irregular work times” based on the tendency of the work time data, and calculates "idle ratio” that is a ratio of the irregular work times to the regular work times, so that the work time for man-powered investigation using a stop watch, etc., can be omitted.
  • the following effects are obtained.
  • the sewing machine work analyzing device 100 can arbitrarily edit the classified "regular work times" or "irregular work times,” so that classification suitable for the viewpoint of a person in charge of analysis can be performed.
  • the idle ratio of a production line can be indicated in a time-oriented manner and transition thereof can be observed, so that effects of an improvement can be confirmed.
  • the present invention is also applicable to a case where a plurality of processes with different works and different sewing quantities are assigned to one sewing machine.
  • the number of stitches is the same because the same product is sewn.
  • pitch time data are classified by the number of stitches, and thereafter, regular work times can be determined by the method of the present embodiment.
  • the second embodiment is an example of variation analysis of pitch times of regular work times.
  • Fig. 15 is a block diagram showing a configuration of a sewing machine work analyzing device 200 according to the second embodiment of the present invention.
  • the same components as in Fig. 3 are indicated by the same reference numerals and descriptions thereof will be omitted.
  • the sewing machine work analyzing device 200 includes a pitch time gauge 110, a variation analyzer 220, a pitch time frequency distribution calculator 120, a work time classifier 130, an idle ratio calculator 140, and an output section 150.
  • the variation analyzer 220 analyzes variations in pitch times of regular work times.
  • the variation analyzer 220 analyzes variations in pitch time of regular work times among operators or lines from a plurality of pitch time data obtained from the pitch time gauge 110.
  • Fig. 16 is a diagram showing sewing operation times in regular work times.
  • the sewing machine work analyzing device 200 measures pitch times by the pitch time gauge 110. Then, as in the first embodiment, the sewing machine work analyzing device 200 automatically classifies the pitch times into "regular work times" and other "irregular work times.”
  • Fig. 18 is a diagram graphically showing calculated variations in pitch times of regular work times among operators by showing the operators on the horizontal axis. In Fig. 18 , an average of the whole line is also calculated and indicated.
  • Fig. 19 is a diagram graphically showing transition of the average of Fig. 18 of variations in sewing operation time among operators with elapse of time by showing the time on the horizontal axis.
  • Fig. 20 is a diagram showing a graph comparing average variations among lines when a plurality of lines exist.
  • the sewing machine work analyzing device 200 includes the variation analyzer 220 that measures pitch times and analyzes variations in pitch time of regular work times among operators or lines from the pitch times of a plurality of regular work times, so that the following effects are obtained.
  • the sewing machine work analyzing device in the present embodiment graphically indicates irregular work times automatically classified from work data measured in one or a plurality of sewing machines in a production line consisting of the one or a plurality of sewing machines by using pitch times of the irregular work times and sums of the irregular work times. Then, by indicating a graph analyzing in greater detail the above-described graph indication, a person in charge of plant management or the like is informed of an abnormal point. The person in charge of plant management or the like grasps the tendency of occurrence of irregular work times and an operator who causes the productivity to lower, and can lead to an improvement activity for improving the productivity.
  • Fig. 21 is a diagram showing irregular work time frequency distributions of the sewing machine work analyzing device.
  • a work time necessary for an operator to perform processing of one process is referred to as a pitch time.
  • the sewing machine work analyzing device creates pitch time frequency distributions from work data measured by sewing machines 1, 2... N (refer to Fig. 2 ) and performs classification into regular work times and irregular work times in the same manner as in the first embodiment.
  • the sewing machine work analyzing device creates frequency distributions of pitch times belonging to irregular work times by excluding data extracted as regular work times from the created pitch time frequency distributions.
  • Fig. 22 is a diagram showing sums of irregular work times of the sewing machine work analyzing device.
  • Fig. 22 when a sum of irregular work times (sec) is indicated for each irregular work time (sec), tendency of occurrence of the irregular work times appears.
  • three irregular work time distributions appear. It is presumed that these irregular work times are caused by different factors. Concerning the irregular work times of 13 to 15 (sec) enclosed by the dashed line in Fig. 22 , the irregular work time of 14 (sec) influences the irregular work times. Therefore, the irregular work times of 13 to 15 (sec) enclosed by the dashed line in Fig. 22 are selected as a selected range, and are further analyzed.
  • Fig. 23 is a diagram showing sums of operator-specific irregular work times.
  • a person in charge of plant management or the like selects a data range to be analyzed in detail from the graph of Fig. 22 (refer to the dashed line in Fig. 22 ).
  • a person in charge of plant management or the like selects the data range and changes the item on the horizontal axis to operator. Then, as shown in Fig. 23 , the sewing machine work analyzing device according to the present embodiment indicates an operator-specific graph of sums of irregular work times selected by the person in charge of plant management or the like. The person in charge of plant management or the like can grasp which operator significantly influences the irregular work times by operator-specific graph indication by the sewing machine work analyzing device according to the present embodiment.
  • the person in charge of plant management or the like can know the following.
  • Fig. 24 is a diagram showing sums of hourly irregular work times.
  • the person in charge of plant management or the like selects a data range to be analyzed in detail from the graph of Fig. 22 (refer to the dashed line in Fig. 22 ).
  • the person in charge of plant management or the like selects a data range and changes the item on the horizontal axis to time. Then, as shown in Fig. 24 , the sewing machine work analyzing device of the present embodiment graphically indicates sums of hourly selected irregular work times.
  • the person in charge of plant management or the like can grasp which time slots the irregular work times are concentrated in by hourly graph indication by the sewing machine work analyzing device according to the present embodiment.
  • the person in charge of plant management or the like can know the following.
  • the person in charge of plant management or the like can perform an improvement activity for the time slots in which irregular work times are concentrated.
  • the person in charge of plant management or the like performs operator analysis and time analysis from the graph of the irregular work time units and sums of irregular work times of Fig. 22 .
  • the person in charge of plant management or the like can select a certain operator and perform time analysis of sums of irregular work times of the operator from the graph of operator analysis of Fig. 23 .
  • the person in charge of plant management or the like can select a certain time slot and perform operator analysis of a sum of irregular work times in the time slot.
  • Fig. 25 is a diagram showing operator-specific idle ratios.
  • the sewing machine work analyzing device automatically classifies work data measured in a production line consisting of a plurality of sewing machines 1, 2... N into regular work times and irregular work times.
  • the sewing machine work analyzing device further classifies the classified irregular work times by operator, and calculates idle ratios.
  • the sewing machine work analyzing device creates an operator-specific graph of the calculated idle ratios.
  • the person in charge of plant management or the like can grasp which operator is idle from the graph of Fig. 25 .
  • Fig. 26 is a diagram showing sums of irregular work times of a selected operator (J).
  • the person in charge of plant management or the like selects an operator he or she desires to analyze in detail from the operator-specific graph of idle ratios of Fig. 25 (refer to the circled portion in Fig. 25 ).
  • the sewing machine work analyzing device creates a graph of irregular work time units and sums of the irregular work times of the selected operator (J).
  • the person in charge of plant management or the like can grasp which irregular work time unit occupies much time of the selected operator (J) from the graph of Fig. 26 .
  • the person in charge of plant management or the like can grasp the tendency of occurrence of the irregular work times by selecting a data range that the person in charge of plant management or the like desires to analyze in detail and performing operator analysis and time analysis.
  • the analysis result output section 150 ( Fig. 3 described above) outputs sums of irregular work times in irregular work time units. For example, by graph indication of sums of irregular work times with respect to one irregular work time, the person in charge of plant management or the like can grasp the tendency of occurrence of irregular work times.
  • the person in charge of plant management or the like can grasp time slots in which irregular work times are concentrated and the tendency of occurrence by performing time analysis. This can lead to an improvement in productivity.
  • the sewing machine work analyzing device in the present embodiment graphically indicates operator-specific idle ratios.
  • the person in charge of plant management or the like can clarify an operator who needs improvement, and can grasp the tendency of occurrence of irregular work times by analyzing the irregular work times of the operator.
  • a mode in which pitch times, numbers of times of turning, turning times, reserve times, and average numbers of rotations of the sewing machines are compared among operators may be used.
  • the sewing machine work analyzing device may analyze only the pitch times, the numbers of times of turning, and reserve times.
  • the title "a sewing machine work analyzing device and a sewing machine work analysis method” is used, however, this is used for convenience of description, and the device may be a sewing machine production management device or a sewing line diagnostic system, and the method may be a sewing work analysis method or the like.
  • the components of the sewing machine work analyzing device for example, the kind of the analyzing device, the method for data transmission to and data receiving from sewing machines, and the number of sewing machines to be managed are not limited to those of the embodiments described above.
  • a sewing machine work analyzing system may have the following configuration.
  • Figs. 27A and 27B and Figs. 28A and 28B are views showing the entire configuration of a work analyzing system of the present invention.
  • the sewing machine work analyzing system includes a plurality of sewing machines 11, 12... N, and a sewing machine work analyzing device 200 that collects and analyzes information of the sewing machines 11, 12... N.
  • Each of the sewing machines 11, 12... N includes a transmission and receiving section (not shown) that transmits sewing operation time data to the sewing machine work analyzing device 200 as a host, and receives analysis data, etc., from the sewing machine work analyzing device 200, and an operation panel 20 (refer to Fig. 27A ) capable of displaying data.
  • the sewing machine work analyzing device 200 as a host collects sewing operation time data from the sewing machines 11, 12... N as clients, and analyzes variations in sewing operation time and creates a graph thereof.
  • the analysis method is the same as described in the first and second embodiments.
  • the sewing machine work analyzing device 200 transmits analyzed and calculated data of variations in sewing operation time or a variation average of the whole line to the sewing machines 11, 12... N.
  • the sewing machines 11, 12... N receive the data from the sewing machine work analyzing device 200 and display the data on the operation panels 20.
  • each of the sewing machines 11, 12... N includes an I/O section (not shown) which an external memory 30 such as a USB memory can be inserted into and removed from.
  • the sewing machines 11, 12... N output data such as sewing operation time data, etc., to the external memory 30.
  • the sewing machine work analyzing device 200 collects sewing operation time data from the sewing machines 11, 12... N by using the external memory 30 (refer to Fig. 28A ), and analyzes variations in sewing operation time and creates a graph thereof (refer to Fig. 28B ).
  • the sewing machine work analyzing device and the sewing machine work analysis method according to the present invention are useful as a work analyzing device and a production management method for industrial sewing machines.

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