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WO2018138925A1 - Dispositif de traitement de données et procédé de traitement de données - Google Patents

Dispositif de traitement de données et procédé de traitement de données Download PDF

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Publication number
WO2018138925A1
WO2018138925A1 PCT/JP2017/003235 JP2017003235W WO2018138925A1 WO 2018138925 A1 WO2018138925 A1 WO 2018138925A1 JP 2017003235 W JP2017003235 W JP 2017003235W WO 2018138925 A1 WO2018138925 A1 WO 2018138925A1
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WO
WIPO (PCT)
Prior art keywords
cycle time
data processing
time
production line
dispersible
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/JP2017/003235
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English (en)
Japanese (ja)
Inventor
一博 神原
隆則 小島
近藤　剛史
篤史 西脇
隆寛 長坂
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Mitsubishi Electric Corp
Original Assignee
Mitsubishi Electric Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Mitsubishi Electric Corp filed Critical Mitsubishi Electric Corp
Priority to JP2018503616A priority Critical patent/JP6385613B1/ja
Priority to CN201780077881.9A priority patent/CN110073396B/zh
Priority to PCT/JP2017/003235 priority patent/WO2018138925A1/fr
Publication of WO2018138925A1 publication Critical patent/WO2018138925A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/04—Manufacturing
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing systems specially adapted for manufacturing

Definitions

  • the present invention relates to a data processing apparatus and a data processing method for displaying an analysis result of a production management index of a production line.
  • Patent Document 1 discloses a data totalization processing apparatus that analyzes and outputs the cause of loss that occurs when a product is manufactured using a production facility. As a production management index, this data totalization processing device is to produce a stop loss caused by the production facility being stopped, a performance loss caused by the performance of the production facility, and a defective product with quality that does not meet the standard. The resulting defective loss is output.
  • Patent Document 1 With the technique described in Patent Document 1, it has been difficult to specify what needs to be improved in order to reduce loss. Therefore, there is a problem that it takes a lot of time to improve productivity.
  • the present invention has been made in view of the above, and an object of the present invention is to obtain a data processing apparatus capable of assisting improvement in productivity of a production line.
  • the data processing apparatus of the present invention comprises a plurality of acquisition units for acquiring respective cycle times of a plurality of apparatuses that constitute a production line and execute processing in charge. Display that distinguishes between the cycle time of non-dispersable devices that cannot distribute the processes in charge among the devices and the cycle time of dispersible devices that can distribute the processes in charge among multiple devices And a control unit.
  • the data processing apparatus has an effect that it is possible to assist in improving the productivity of the production line.
  • the figure which shows the structure of the production management system concerning embodiment of this invention The figure which shows the structure of the manufacturing line shown in FIG.
  • the figure which shows the structure of the data processor shown in FIG. The figure which shows the hardware constitutions of the data processor shown in FIG.
  • the figure for demonstrating the classification method of the loss which arises in a production line in the production management system shown in FIG. The figure which shows the example in which the composition loss is included in the operation time of the production line shown in FIG.
  • storage part shown in FIG. The figure which shows the display screen of the analysis result of the cycle time which the data processor shown in FIG. 3 displays The figure for demonstrating the loss which arises in a production line in the production management system shown in FIG.
  • the figure which shows the display screen which displays the analysis result for every manufacturing line shown in FIG. The figure which shows the setup when changing the product which is manufactured with the production line which is shown in Figure 1 from model A to model B
  • the figure which shows the display screen which shows the occurrence condition of the performance mistake in the manufacturing line shown in FIG. 2 for every component The figure which shows the display screen which shows the generation
  • FIG. 1 is a diagram showing a configuration of a production management system 10 according to an embodiment of the present invention.
  • a production management system 10 shown in FIG. 1 includes a data processing device 1, a production line 2, a data collection device 3, a database 4, and a terminal 5.
  • the data processing device 1 is an information processing device that analyzes the state of the production line 2.
  • the production line 2 is composed of a plurality of facilities each performing a process in charge, and manufactures a workpiece by a series of flow operations. Processed products include products, semi-finished products and the like.
  • the production line 2 can be used for producing a plurality of types of products. When the production line 2 changes the type of product, a preparatory work called setup is performed.
  • the setup includes operations for exchanging parts to be supplied to the equipment in the production line 2 and changing the settings of the equipment.
  • the data collection device 3 collects data from a sensor attached to the production line 2, equipment constituting the production line 2, and the like and writes the collected data in the database 4. These data are production information, operation information, quality information, error information, and the like.
  • the terminal 5 is a terminal used by a worker who performs work such as setup of the production line 2, and writes the progress of work performed by the worker in the database 4.
  • the database 4 is a storage unit that stores information related to the production line 2, and is provided in a management server that centrally manages a plurality of production lines 2, for example.
  • the database 4 stores information indicating the production plan and production state of the production line 2, specifically, the number of productions for each product to be manufactured, information indicating parts used for each product, parts inventory information, and the like. .
  • FIG. 2 is a diagram showing a configuration of the production line 2 shown in FIG.
  • the production line 2 is composed of a plurality of facilities that execute processes in charge assigned in advance in a series of operations.
  • the plurality of facilities constituting the production line 2 includes a laser marker 21, a printing machine 22, a printing inspection machine 23, a first mounting machine 24-1, a second mounting machine 24-2, and a third mounting machine 24- 3, a fourth mounting machine 24-4, a reflow furnace 25, and an image inspection machine 26.
  • the first mounting machine 24-1, the second mounting machine 24-2, the third mounting machine 24-3, and the fourth mounting machine 24-4 are a plurality of facilities that execute the same processing. It can also be called.
  • the mounting machine 24 when there is no need to distinguish each of the first mounting machine 24-1, the second mounting machine 24-2, the third mounting machine 24-3, and the fourth mounting machine 24-4, they are simply referred to as the mounting machine 24.
  • solder In the production line 2, after solder is printed on a substrate at room temperature, components such as a resistor, a coil, a capacitor, and an IC (Integral Circuit) are placed on a predetermined position on the substrate and passed through a high-temperature furnace together with the substrate. Then melt the solder and solder the component and the board. Such a method is called reflow soldering.
  • the laser marker 21 prints information for ensuring traceability such as a model name and a manufacturing number of a product to be manufactured on a substrate to be processed.
  • the printing machine 22 prints paste-like or cream-like solder on the substrate at room temperature.
  • the print inspection machine 23 inspects whether or not the quality of printing performed by the printing machine 22 satisfies the standard.
  • the mounting machine 24 mounts components on the board. Specifically, the mounting machine 24 sucks a component using a sucking unit called a nozzle, recognizes the shape of the sucked component, and places the component at a predetermined position on the board.
  • the reflow furnace 25 is a reflow soldering device that melts solder by heating a substrate.
  • the image inspection machine 26 inspects the state of the manufactured workpiece based on the image of the substrate. The image inspection machine 26 inspects the state of the solder, whether the component is placed at a predetermined position, and the like.
  • FIG. 3 is a diagram showing a configuration of the data processing apparatus 1 shown in FIG.
  • the data processing apparatus 1 includes an acquisition unit 11, a storage unit 12, an analysis unit 13, a display control unit 14, a display unit 15, an operation information acquisition unit 16, and a process editing unit 17.
  • the acquisition unit 11 acquires data stored in the database 4 illustrated in FIG. 1 and inputs the data to the analysis unit 13.
  • the storage unit 12 stores information analyzed by the analysis unit 13 in the past.
  • the analysis unit 13 analyzes the execution state of the manufacturing process using the manufacturing line 2 using the data input from the acquisition unit 11.
  • the implementation state of the manufacturing process includes the state of the manufacturing line 2 itself and the state of the worker.
  • the analysis unit 13 outputs the analysis result to the display control unit 14 and writes it to the storage unit 12.
  • the display control unit 14 causes the display unit 15 to display the analysis result output by the analysis unit 13.
  • the display unit 15 is a display device that outputs information on a display screen.
  • the operation information acquisition unit 16 acquires operation information indicating the operation content of the user.
  • a user can operate the data processing apparatus 1 using an input device such as a keyboard, a mouse, or a touch pad.
  • the process editing unit 17 performs processing based on the operation information when the user who has seen the analysis result displayed on the display unit 15 performs an operation to change conditions, contents, and the like of the processing process executed on the production line 2. Edit the process.
  • the process editing unit 17 stores the edited process in the database 4.
  • FIG. 4 is a diagram showing a hardware configuration of the data processing apparatus 1 shown in FIG.
  • the data processing device 1 can be realized using a communication device 91, a display device 92, an input device 93, a memory 94, and a processor 95.
  • the communication device 91 is a communication interface for connecting to an external device via a communication network.
  • the display device 92 outputs a display screen.
  • the input device 93 is a keyboard, a pointing device, or the like.
  • the memory 94 is a storage unit that stores computer programs such as software and firmware.
  • the processor 95 is a processing circuit that reads and executes a computer program stored in the memory 94.
  • the memory 94 is a RAM (Random Access Memory), a ROM (Read Only Memory), a nonvolatile or volatile semiconductor memory such as a flash memory, a magnetic disk, or the like.
  • the processor 95 is a CPU (Central Processing Unit), a processing device, an arithmetic device, a microprocessor, a microcomputer, a DSP (Digital Signal Processor), or the like.
  • the functions of the acquisition unit 11, the analysis unit 13, the display control unit 14, and the process editing unit 17 of the data processing device 1 are realized by the processor 95 executing a procedure described in a computer program.
  • the operation information acquisition unit 16 of the data processing device 1 is realized by the cooperation of the input device 93 and the processor 95.
  • the data processing apparatus 1 includes the display device, but the present invention is not limited to such an example.
  • the data processing device 1 may include an interface for outputting a display screen using an external display device and connecting to the display device.
  • FIG. 5 is a diagram for explaining a method of classifying losses generated in the production line 2 in the production management system 10 shown in FIG.
  • the equipment operation time of production line 2 is the equipment load time plus the planned outage time
  • the equipment load time is the equipment operation time plus the equipment outage loss
  • the equipment operation time is the net equipment This is the operating time plus performance loss.
  • Net equipment uptime is value uptime plus quality loss.
  • the equipment stop loss includes a setup loss and equipment failure loss.
  • the performance loss includes a temporary stop loss in which the equipment is stopped for a short time due to equipment failure that cannot be said to be equipment failure.
  • the temporary equipment malfunction includes an adsorption error due to a malfunction of the nozzle included in the mounting machine 24.
  • the performance loss includes a component-out loss that eliminates the components supplied to the mounting machine 24.
  • Loss of quality refers to loss due to failure to meet quality standards, such as the fact that the soldering performance does not meet the standard and the component is not firmly fixed to the board with solder, or the component is not mounted at a predetermined position. It is.
  • the net equipment operation time can be defined as the effective equipment operation time plus the organization loss.
  • the time during which the equipment is actually operating may include a knitting loss that can be shortened by changing the knitting of the processing performed by each equipment. A method for shortening the knitting loss will be described below.
  • FIG. 6 is a diagram showing an example in which a knitting loss is included in the operation time of the production line 2 shown in FIG.
  • FIG. 6 shows the number of productions when the products of model A and model B are manufactured using the manufacturing line 2 and the cycle time of each facility.
  • the cycle time of equipment is work time per process performed in each equipment.
  • a waiting time is generated by a difference between the cycle times. For this reason, the larger the difference in cycle time, the longer the waiting time.
  • This waiting time is a cause of knitting loss. For example, in the state shown in the upper part of FIG.
  • the cycle time of the fourth mounting machine 24-4 is 39 seconds / sheet, which is the maximum among the cycle times of the respective facilities on the production line 2.
  • the plurality of mounting machines 24 are dispersible devices capable of distributing the processing in charge among the plurality of mounting machines 24, a part of the processing handled by the fourth mounting machine 24-4 is transferred to the third mounting machine 24. -3, the cycle time of the third mounting machine 24-3 is increased by 10 seconds to 28 seconds / sheet, and the cycle time of the fourth mounting machine 24-4 is decreased by 10 seconds to 29 seconds / sheet.
  • the cycle time of the production line 2 is the maximum value among the cycle times of the respective facilities, in the example shown in FIG. 6, the cycle time of the production line 2 when manufacturing the model A is from 39 seconds / piece. The knitting loss was shortened by shortening to 30 seconds / sheet.
  • the cycle time of the mounting machine 24 is further shortened while the cycle time of the mounting machine 24 is shorter than the cycle time of the image inspection machine 26.
  • the cycle time of the production line 2 does not change.
  • the mounter 24 must replace the component supplied to the mounter 24. For this reason, a replacement work for replacing components supplied to the mounting machine 24 occurs.
  • the parts used in common before and after the change of the type of product to be manufactured can be reduced by replacing work by performing the mounting process with the same mounting machine 24.
  • the replacement work can be performed even if the cycle time becomes longer as long as the reduction in the equipment operation time due to the reduction in the cycle time is less than the time required for the replacement work. If the number is reduced, the overall equipment operation time may be improved. As the number of production increases, the effect of shortening the cycle time on the equipment operation time increases, and the number of production can change. That is, which of the shortening of the cycle time and the reduction of the replacement work gives priority to shortening the entire facility operation time depends on the number of production. For this reason, when the number of production of each product changes, it is desirable to review the processing in charge of each facility.
  • FIG. 7 is a diagram for explaining the monthly change in the equipment operating time of each mounting machine 24 in the production line 2 shown in FIG.
  • FIG. 7 shows the facility operation time on the vertical axis for each mounting machine 24 for each month.
  • the equipment operating time is a value obtained by cumulatively adding a value obtained by multiplying the cycle time and the number of production for each manufacturing model.
  • the equipment operating time of the third mounting machine 24-3 is longer than in September and October. If no change is made to change the cycle time, this change can be attributed to a change in the number of production for each model. Since the balance of cycle time between facilities deteriorated in November, the placement time of parts mounted by each mounting machine 24 was reviewed, and the equipment operating time of the third mounting machine 24-3 in December was shortened. Has been.
  • the mounting machine 24 in addition to reviewing the sharing among the mounting machines 24 with respect to the components to be mounted, it is conceivable to replace the mounting machine 24 with one having high performance. For example, it is also possible to predict a future equipment operation time based on the prediction of the number of production and to make a plan for capital investment based on the predicted value. In the future prediction of the example of FIG. 7, the equipment operating time of the fourth mounting machine 24-4 has increased.
  • the component mounting in charge of the fourth mounting machine 24-4 may be distributed to other mounting machines 24, or the fourth mounting machine 24-4 may be replaced with one having high performance.
  • FIG. 8 is a flowchart showing the operation of the data processing apparatus 1 shown in FIG. 3 for analyzing the improvement object of the cycle time.
  • the acquisition unit 11 acquires the cycle time for each device from the database 4 (step S101).
  • the acquisition unit 11 acquires the cycle time for each device for each type of product and inputs the acquired cycle time to the analysis unit 13. .
  • the analysis unit 13 acquires device classification information from the storage unit 12 (step S102).
  • the device classification information indicates that each device constituting the production line 2 is a dispersible device capable of distributing the processing in charge among a plurality of devices, or the processing in charge is distributed among the devices. Indicates whether the device cannot be distributed.
  • FIG. 9 is a diagram showing an example of the device classification information stored in the storage unit 12 shown in FIG.
  • the device classification information includes a distributable / undistributable category indicating whether each facility is a dispersible device or a dispersible device.
  • the value “0” of the dispersibility / non-distribution category indicates that the device cannot be distributed
  • the value “1” of the dispersibility / non-distribution category indicates that the device is dispersible.
  • the assigned process category is information indicating the type of process assigned to each facility.
  • the device classification information in FIG. 9 indicates that the first mounting machine 24-1, the second mounting machine 24-2, the third mounting machine 24-3, and the fourth mounting machine 24-4 are dispersible devices. .
  • the mounter 24 capable of distributing the processing load by changing the component in charge of mounting among the plurality of mounters 24 is used as a dispersible device.
  • all the mounting machines 24 are dispersible apparatuses, but some of the mounting machines 24 may be non-dispersible apparatuses. Since the sizes of the parts that can be picked up by the nozzles included in each of the plurality of mounting machines 24 may be different, it is not always possible to change the parts in charge of mounting among the plurality of mounting machines 24.
  • the analysis unit 13 extracts dispersible devices based on the device classification information (step S103).
  • the analysis unit 13 can distribute the first mounting machine 24-1, the second mounting machine 24-2, the third mounting machine 24-3, and the fourth mounting machine 24-4. Extract as a device.
  • the analysis unit 13 analyzes the cycle time and determines the limit time (step S104).
  • the limit time is the shortest time that cannot be shortened beyond the cycle time of the production line 2.
  • the analysis unit 13 determines the maximum cycle time among the cycle times of the non-dispersable devices as the limit time.
  • the analysis unit 13 determines a limit time for each type of product to be manufactured.
  • the analysis unit 13 determines the cycle time to be improved based on the limit time and the cycle time (step S105). Specifically, the analysis unit 13 can set the cycle time having a value larger than the limit time in the cycle time of the dispersible device as an improvement target. The analysis unit 13 determines an improvement target for each type of product to be manufactured. There may be no cycle time greater than the limit time, or there may be multiple. When the plurality of cycle times have a value larger than the limit time, the analysis unit 13 may set the plurality of cycle times as an improvement target or may set the maximum cycle time as an improvement target. Alternatively, a predetermined number of cycle times from the larger one can be targeted for improvement.
  • the analysis unit 13 outputs information indicating the dispersible device, the limit time, and the cycle time to be improved to the display control unit 14 and writes the information to the storage unit 12.
  • the display control unit 14 displays the cycle times for each apparatus side by side on the display screen, and highlights the cycle time to be improved (step S106).
  • FIG. 10 is a view showing a display screen 51 of the cycle time analysis result displayed by the data processing apparatus 1 shown in FIG.
  • the display screen 51 includes net equipment operating time and a balance rate.
  • the net equipment operating time is the cycle time of the production line 2 multiplied by the number of productions.
  • the balance ratio is a value indicating variation in cycle time, and becomes smaller as the variation increases.
  • the acquisition unit 11 acquires the production number from the database 4.
  • the analysis unit 13 sets the maximum cycle time as the cycle time of the production line 2 regardless of whether the device is a dispersible device or a non-dispersible device, and the value obtained by multiplying this value by the production number is the net equipment operation. Time.
  • the analysis unit 13 calculates a total value obtained by summing up the cycle times of the respective devices and a value obtained by multiplying the cycle time of the production line 2 by the number of devices. Then, a value obtained by dividing the calculated total value by the value obtained by multiplying the cycle time of the production line 2 by the number of devices is defined as a balance ratio.
  • a balance ratio In the model A in FIG.
  • the unit of the value obtained by multiplying the maximum cycle time 39 by the production number 2504 is converted from seconds to hours, and the net equipment operating time is 271 (Hr / month). Further, the balance ratio is about 56.1% by using a value 197 obtained by adding the cycle times of the respective devices and a value 351 obtained by multiplying the cycle time 39 of the production line 2 by the number of devices 9.
  • the display control unit 14 displays the cycle times of the devices side by side, and distinguishes and displays the cycle time of the dispersible device and the cycle time of the non-dispersible device.
  • the display control unit 14 may highlight the improvement target cycle time and the limit time. In this case, it is desirable that the display control unit 14 highlights the cycle time to be improved and the limit time in an expressible manner.
  • the display control unit 14 indicates the color in the frame indicating the cycle time of the dispersible device in a color different from the color in the frame indicating the cycle time of the non-dispersible device, so that the cycle of the dispersible device is performed.
  • the time and the cycle time of the non-distributable device are distinguished and displayed.
  • the display control unit 14 highlights the cycle time to be improved with a color within the frame, and highlights the limit time with a thick frame.
  • the method of highlighting the display control unit 14 is not limited to the above example.
  • the display control unit 14 may indicate the priority of improvement among a plurality of improvement targets. As described above, since the cycle time of a product with a large number of productions has a greater influence on the overall equipment operation time than the cycle time of a product with a small number of productions, the priority for improvement is also high. For this reason, in the example of FIG. 10, the display control unit 14 displays the number of productions and the cycle time for each type of product in an order according to the size of the production number. Further, the display control unit 14 displays the priority in parallel with the cycle time to be improved. Thereby, the user can easily grasp the priority of improvement while looking at the analysis result of the cycle time.
  • the data processing apparatus 1 uses the collected data to perform various analyzes in addition to the cycle time as shown in the following examples. It can be carried out.
  • FIG. 11 is a diagram for explaining a loss occurring in the production line 2 in the production management system 10 shown in FIG.
  • the theoretical value of the equipment operation time calculated based on the cycle time and the equipment load time obtained by excluding the planned stop time from the equipment operation possible time. This difference includes equipment stop loss and performance loss.
  • the theoretical value of the equipment operating time is obtained by cumulatively adding a value obtained by multiplying the theoretical value of the cycle time of the production line 2 by the number of productions for each product to be manufactured.
  • the analysis unit 13 can also analyze the collected information and generate information indicating an equipment stop loss and a performance loss.
  • FIG. 12 is a diagram showing a display screen 52 that displays the analysis result for each production line shown in FIG.
  • the display screen 52 includes a device configuration display area 521 indicating the devices constituting the first production line 2-1, a setup display region 522 indicating the implementation state of the setup, and a device display region 523 indicating the status of each device. .
  • the device display area 523-1 the state of the first mounting machine 24-1 is shown.
  • the device display area 523-2 the state of the second mounting machine 24-2 is shown.
  • the detail buttons included in the device display area 523 are linked to a screen showing detailed information of each item indicating the state of the device.
  • the analysis unit 13 analyzes information stored in the database 4 to generate information to be displayed, and the display control unit 14 displays the analysis result on the display screen 52. For example, the analysis unit 13 calculates the actual setup product ratio based on the planned setup time and the actual time actually taken for setup.
  • the actual setup rate is the ratio of the actual time to the planned time of setup, and exceeds 100% when the actual time is larger than the planned time.
  • the display control unit 14 generates and displays the display screen 52 by combining the information acquired from the database 4 and the analysis result of the analysis unit 13.
  • FIG. 13 is a diagram showing the setup when the product manufactured on the manufacturing line 2 shown in FIG. 1 is changed from the model A to the model B.
  • the setup includes an external setup that can be performed without stopping the production line 2 and an internal setup that is performed after the production line 2 is stopped.
  • the outer setup for manufacturing the model B is preferably performed within the time during which the model A is produced, and the inner setup is preferably performed in as short a time as possible.
  • the external setup of the model B is not finished during the manufacture of the model A, and a waiting time is generated.
  • the production line outage period from the completion of the inner setup to the start of the production of the model B is long, and there is an equipment stop loss. I can say that.
  • a worker who starts the external setup of model B and implements the internal setup of model B so that the external setup of model B is completed before the manufacture of model A is completed.
  • the analysis unit 13 can analyze the information indicating the implementation status of the setup and determine the time t1 at which the external setup of the model B is started and the number of workers who implement the internal setup of the model B.
  • the display control unit 14 causes the display unit 15 to display the time t1 when the external setup of the model B determined by the analysis unit 13 is started and the number of workers performing the internal setup of the model B.
  • FIG. 14 is a diagram showing the occurrence of a stop event in the production line 2 shown in FIG.
  • the analysis unit 13 can analyze the event log and analyze the occurrence time and stop time of the stop event. At this time, the analysis unit 13 can classify a temporary stop that can be recovered immediately and a device abnormality, which are minor problems that cannot be said to be a device failure.
  • the display control unit 14 can display the display screen 53 indicating the stop time for each occurrence time, distinguishing between the temporary stop and the apparatus abnormality. The portion where the stop event is shown on the display screen 53 is linked to a screen displaying the details of the stop event.
  • FIG. 15 is a diagram showing a display screen 54 showing details of the stop event linked from the display screen 53 shown in FIG.
  • a display screen 54 shown in FIG. 15 is displayed.
  • the display control unit 14 acquires event information regarding the stop event from the database 4
  • the display control unit 14 generates a display screen 54 including the content of the stop event and information indicating the occurrence location, and displays the display screen 54 on the display screen.
  • the user viewing the display screen grasps the occurrence status of the stop event in time series on the display screen 53, and if there is a time when the stop event frequently occurs, displays the display screen 54 and displays the stop event. You can know the details.
  • the details of the stop event include the place where the stop event occurred, so that if the stop event is repeated at the same place, the user can grasp that the need for maintenance of that place is high .
  • the display screen 54 since stop events frequently occur at “place # 10”, it is considered that maintenance of this place is necessary.
  • the user can know the occurrence situation of equipment stop loss from various viewpoints.
  • FIG. 16 is a diagram showing a display screen 55 showing the occurrence status of performance mistakes in the production line 2 shown in FIG. 2 for each part.
  • FIG. 17 is a diagram showing a display screen 56 showing the occurrence status of performance errors in the production line 2 shown in FIG. 2 for each nozzle.
  • the acquisition unit 11 acquires performance error occurrence event information from the database 4 and inputs it to the analysis unit 13. Based on the performance error occurrence event information that has been input, the analysis unit 13 determines the number of suction mistakes in which the nozzles of the mounting machine 24 fail to suck the components for each component, and the recognition mistakes that cause the recognition of the sucked components to fail.
  • the analysis unit 13 also counts the number of suction mistakes, the number of recognition mistakes, the number of drop mistakes, the number of installation mistakes, the number of installations, and the error rate for each nozzle.
  • the display control unit 14 displays the display screen 55 using the number of suction mistakes, the number of recognition mistakes, the number of drop mistakes, the number of mounting mistakes, the number of mountings, and the error rate that the analysis unit 13 tabulates for each part. Generate and display.
  • the display control unit 14 generates a display screen 56 using the number of adsorption mistakes, the number of recognition mistakes, the number of drop mistakes, the number of installation mistakes, the number of installations, and the error rate that the analysis unit 13 tabulates for each nozzle. indicate.
  • FIG. 18 is a diagram showing a display screen 57 for displaying an analysis result obtained by comparing a plurality of production lines 2 shown in FIG.
  • This display screen 57 shows the number of component supply for each production line 2 and the component supply waiting time for each mounting machine 24.
  • a waiting time may occur during the work of replenishing the part. The length of this waiting time varies depending on whether the work efficiency of each worker is good or bad, the number of times parts supply work occurs, the arrangement of workers, and the like.
  • the display control unit 14 displays the component supply waiting time along with the number of component supplies for the plurality of production lines 2.
  • the first production line 2-1 has more component supply times than the second production line 2-2, and the component supply waiting time is longer.
  • the user who sees the display screen 57 can determine that the number of workers on the first production line 2-1 is insufficient, and can consider changing the personnel assignment of the workers.
  • the third production line 2-3 has a longer component supply waiting time than the second production line 2-2, although the difference in the number of component supply is small.
  • the number of workers on the second production line 2-2 is the same as the number of workers on the third production line 2-3, the work efficiency of the workers in charge of the third production line 2-3 is improved. It may be bad.
  • the data processing apparatus 1 of the present invention it is possible to provide the user with various information that assists in improving the productivity of the production line 2.
  • the state of the production line 2 can be analyzed in real time, it becomes easy to grasp the state of the production line 2 in accordance with the operation status and the change in the production plan.
  • the production plan is finely adjusted according to changes in customer needs, the number of products manufactured using the production line 2 changes.
  • the influence of the cycle time of the production line 2 on the overall equipment operation time increases, so it is important to improve the cycle time in accordance with the change in the number of production.
  • the cycle time of the dispersible device and the cycle time of the non-dispersible device are displayed separately. For this reason, the time required for the user to determine whether or not the cycle time of each device can be improved can be shortened, and improvement in productivity can be assisted. Further, based on the limit time of the cycle time of the production line 2, it is determined whether or not each cycle time is an improvement target, and the improvement target cycle time is displayed in a discriminable state. For this reason, the user can know the cycle time that can shorten the cycle time of the entire production line 2 by improving the cycle time that can be improved, and the productivity can be easily improved.
  • the cycle time is analyzed using the device classification information indicating whether each device constituting the production line 2 is a dispersible device or a non-dispersible device. Then, the maximum cycle time among the cycle times of the non-dispersible apparatus is set as the limit time of the cycle time of the production line 2.
  • the cycle time of the dispersible device a cycle time longer than the limit time is determined as an improvement target and highlighted on the display screen. Therefore, even if the cycle time of the device is improved, the cycle time of the production line 2 is not affected, and the case where the cycle time of the production line 2 can be improved by improving the cycle time of the device is distinguished and grasped. It becomes possible. Therefore, it is possible to easily improve the loss due to the distribution of processing in charge among the devices constituting the production line 2.
  • the display control unit 14 may highlight the limit time. Since the limit time is a target for shortening the cycle time to be improved, the user can make an improvement plan based on the limit time.
  • the display control unit 14 can also display the priority of a plurality of improvement target cycle times. Since the high priority indicates the influence on the overall equipment operation time, the user can efficiently reduce the knitting loss by improving from the cycle time having a high priority. .
  • the configuration described in the above embodiment shows an example of the contents of the present invention, and can be combined with another known technique, and can be combined with other configurations without departing from the gist of the present invention. It is also possible to omit or change the part.
  • the production line 2 performs the process of mounting the components on the board, but the present invention is not limited to such an example.
  • the present invention can be applied to a production line 2 including a plurality of apparatuses that perform similar processing.
  • the apparatus capable of distributing the processing is the four mounting machines 24, but the present invention is not limited to such an example.
  • the processing can be distributed to a plurality of apparatuses. Therefore, the present invention can also be applied when the apparatus capable of distributing processing is other than the mounting machine 24.
  • an example of the production line 2 including one group of apparatuses capable of distributing processing is shown, but the present invention is not limited to such an example.
  • the technology of the present invention can be applied to a production line 2 including a plurality of groups of dispersible devices.
  • a group refers to a group of devices with the same processing.
  • the production line 2 including a plurality of groups of dispersible devices for example, has four mounting machines 24 that can disperse component mounting processes from each other and the inspection processing by dividing the inspection target portion.
  • the display control unit 14 distinguishes and displays the cycle time of the dispersible device and the cycle time of the non-dispersible device, and distinguishes and displays each group of devices having the same processing type responsible for the dispersible device. May be.
  • the display control unit 14 distinguishes and displays a device whose distribution availability category is “0” and a device whose distribution availability category is “1” shown in FIG. Can be displayed separately for each value.
  • the data processing apparatus 1 analyzes the improvement object of the cycle time using the data collected by the data collection apparatus 3 from the production line 2, but the present invention is limited to such an example.
  • the data processing device 1 may acquire a theoretical value of the cycle time from a control program that controls each device constituting the production line 2 and analyze the improvement object of the cycle time.

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Abstract

L'invention concerne un dispositif de traitement de données (1) caractérisé en ce qu'il comprend : une unité d'acquisition (11) qui acquiert chaque temps de cycle d'une pluralité de dispositifs qui forment une ligne de fabrication (2) et exécutent des processus correspondants ; et une unité de commande d'affichage (14) distinguant un temps de cycle d'un dispositif non distribuable, qui est un dispositif parmi la pluralité des dispositifs et auquel le processus correspondant ne peut pas être distribué, par rapport à un temps de cycle d'un dispositif distribuable, qui est un dispositif parmi la pluralité des dispositifs et auquel le processus correspondant peut être distribué, et affichant les temps de cycle sur un écran d'affichage.
PCT/JP2017/003235 2017-01-30 2017-01-30 Dispositif de traitement de données et procédé de traitement de données Ceased WO2018138925A1 (fr)

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JP2018503616A JP6385613B1 (ja) 2017-01-30 2017-01-30 データ処理装置およびデータ処理方法
CN201780077881.9A CN110073396B (zh) 2017-01-30 2017-01-30 数据处理装置及数据处理方法
PCT/JP2017/003235 WO2018138925A1 (fr) 2017-01-30 2017-01-30 Dispositif de traitement de données et procédé de traitement de données

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KR102769770B1 (ko) 2020-06-22 2025-02-20 도시바 데지타루 소류숀즈 가부시키가이샤 작업 내용 분석 장치, 작업 내용 분석 방법, 프로그램, 및 센서
JP7408502B2 (ja) 2020-07-16 2024-01-05 株式会社東芝 判定装置、判定方法、およびプログラム
JP7646309B2 (ja) 2020-08-14 2025-03-17 東芝デジタルソリューションズ株式会社 作業内容分析装置、作業内容分析方法、およびプログラム

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JP2022119370A (ja) * 2021-02-04 2022-08-17 キヤノン株式会社 情報処理装置、及び情報処理方法

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