CN110945444A - Work improvement support system and method - Google Patents
Work improvement support system and method Download PDFInfo
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- CN110945444A CN110945444A CN201880049235.6A CN201880049235A CN110945444A CN 110945444 A CN110945444 A CN 110945444A CN 201880049235 A CN201880049235 A CN 201880049235A CN 110945444 A CN110945444 A CN 110945444A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
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- 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
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/04—Manufacturing
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- 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
Abstract
Provided are a work improvement support system and method with excellent usability for a user. An operation improvement support system (1) for supporting improvement of an operation process is provided with: an actual performance management unit (12) for managing actual performance data relating to each operation included in the operation process; a plan management unit (13) for managing plan data relating to each job; a work image management unit (15) for managing work image data on which the status of a work site (2) where each work is performed by an operator is photographed; and a work analysis unit (16) which, on the basis of the performance data and the plan data relating to the work, determines whether the work corresponds to a predetermined work to be improved, and when it is determined that the work corresponds to the predetermined work, extracts predetermined work image data relating to the work determined to correspond to the predetermined work from the work image data.
Description
Technical Field
The present invention relates to an operation improvement support system and method.
Background
In various factories such as control panels, office equipment, automobiles, airplanes, industrial machines, construction machines, and the like, products are produced by production methods such as a line method, a cell (cell) method, and a dynamic cell (dynamic cell) method. One product is produced through a plurality of operation processes such as preparation of parts or materials, sheet metal, painting, assembly of main parts to a main body, inspection, and the like. In a production site, a product is produced according to a production plan prepared in advance, but due to many cases, the production plan and the production performance often differ. Especially in so-called bottleneck operations, the difference between planning and actual performance is large. Therefore, a technique of extracting a bottleneck operation and proposing a countermeasure against the bottleneck is known (patent document 1).
Documents of the prior art
Patent document
Patent document 1: japanese patent laid-open publication No. 2005-190031
Disclosure of Invention
Problems to be solved by the invention
In patent document 1, "a bottleneck device and a bottleneck occurrence timing are estimated from a production plan and a progress state, each bottleneck device is classified for each bottleneck main factor according to the occurrence timing and a state of the device group, and a prior countermeasure corresponding to a classification result is executed" (paragraph 0010, abstract of patent document 1), and a bottleneck occurrence process is not associated with work image data that captures a state of a site where a worker performs a work.
Therefore, in the conventional technique described in patent document 1, a user such as a manager of a production process cannot investigate the cause of occurrence of a bottleneck and improve a strategy while confirming the situation of a work site with an image, and is poor in usability.
The present invention has been made in view of the above problems, and an object of the present invention is to provide a work improvement support system and method which are easy for a user to use.
Solution to the problem
In order to solve the above problem, a work improvement support system according to the present invention is a work improvement support system for supporting improvement of a work process, and includes: an actual results management unit for managing actual results data relating to each operation included in the operation process; a plan management unit that manages plan data relating to each job; a work image management unit for managing work image data on which the status of a work site where an operator performs each work is photographed; and a job analysis unit that determines whether or not the job corresponds to a predetermined job to be improved based on the performance data and the plan data relating to the job, and extracts predetermined job image data relating to the job determined to correspond to the predetermined job from the job image data when it is determined that the job corresponds to the predetermined job.
Effects of the invention
According to the present invention, when a job corresponding to a predetermined job to be improved is detected, job image data relating to the job can be extracted, so that a user can investigate the point of improvement of the job based on the job image data.
Drawings
Fig. 1 is an explanatory diagram showing an overall outline of the present embodiment.
Fig. 2 is a functional configuration diagram of the work improvement support system.
Fig. 3 is an example of a computer system that implements a work improvement support system.
Fig. 4 is an example of a table for managing job performance.
Fig. 5 is an example of a table for managing a job flow.
Fig. 6 is a flowchart showing the job image management processing.
Fig. 7 is a flowchart showing the work improvement support processing.
Fig. 8 is a flowchart of a process of detecting an actual operation time according to embodiment 2.
Fig. 9 is an example of a table for managing job performance.
Fig. 10 is a flowchart showing the video management processing according to embodiment 3.
(symbol description)
1: an operation improvement support system; 2: an operation site; 11: a working condition monitoring unit; 12: a production actual performance management part; 13: a production plan management unit; 14: an operator management unit; 15: an operation image management part; 16: a job analysis unit; 17: a screen display unit; 18: an actual operation time detection unit; 19: an operator terminal management unit; 21: a unit; 22: an RFID reader; 23: an operation instruction terminal; 24: a camera; 25: product(s)
Detailed Description
Embodiments of the present invention are described below with reference to the drawings. In the work improvement support system 1 according to the present embodiment, as will be described later, a work that becomes a bottleneck is extracted from a plurality of works included in a work process, and predetermined work image data in which the bottleneck is exhibited is extracted from among the work image data in which the situation of the work site 2 is captured. Therefore, the user in charge of improvement of the work process can estimate the cause of the bottleneck work or make a measure for removing the bottleneck work while viewing the predetermined work image data.
Example 1
Embodiment 1 will be described with reference to fig. 1 to 7. Fig. 1 is an explanatory diagram showing an overview of the entire work improvement support system. The work improvement support system 1 supports the preparation of an improvement policy by providing a user with predetermined work video data in which a state of a work to be improved is captured.
The work improvement support system 1 can be configured using at least one computer, for example. An example of a computer system that implements the work improvement support system 1 will be described later with reference to fig. 3.
The work improvement support system 1 realizes the functions 11 to 19 described below by an arithmetic device, a memory device, an auxiliary storage device, an input/output interface circuit, a communication interface circuit (none of which are shown), and a predetermined computer program, which are computer resources.
First, the work site 2 will be explained. The work site 2 comprises at least one unit 21. At unit 21, operator W produces product 25 according to the workflow displayed on job instruction terminal 23. Here, the cell production method is described as an example, but the present invention is not limited to this, and can be applied to a production line method and a dynamic cell method. The operation site 2 of the present embodiment is directed to so-called multi-item low-volume production, but can be applied to low-item high-volume production and low-item low-volume production.
The unit 21 is provided with a plurality of cameras 24 for monitoring the status of the work performed by the operator. At least some of the cameras 24 in the cameras 24 can monitor not only the work status but also the status around the unit 21. Although the camera 24 differs depending on the installation location, installation angle, shooting angle, and the like, the situation around the unit 21 (other units disposed around the unit 21, and the like) can be monitored in addition to the image of the entire operator's hand, foot, and the whole operator at the time of operation. Although 5 cameras 24 are illustrated in fig. 1, the present invention is not limited to this, and 4 or less or 6 or more cameras may be provided in correspondence with the unit 21.
An RFID reader 22 for reading out information from an RFID (Radio Frequency Identifier) tag 26 is provided at the unit 21 or in the vicinity of the unit 21. Here, the RFID tags 26 can be classified into, for example, a job tag 26-1 held by the worker W and a product tag 26-2 provided on the product 25.
The job ticket 26-1 can be further divided into a worker ticket (not shown) for storing identification information of the worker W and a job guidance ticket (not shown) for indicating a unit (destination process) to which the worker is to be placed. RFID reader 22 reads out identification information of a designated worker and identification information of a designated unit (process) from job tag 26-1. The work improvement support system 1 can grasp which worker is arranged in which unit 21 based on the information read by the RFID reader 22. Further, by acquiring information related to the product 25 from the product tag 26-2, it is also possible to grasp the current position, the manufacturing history, and the like of the product 25.
The work instruction terminal 23 displays a screen for teaching the flow of work at the unit 21 to the operator. When the operator finishes one work flow, the operator operates a finish button indicating that the work flow is finished or a next button requesting display of a next work flow on the work instruction terminal 23. The operator operates the button as "operation from the operator" each time each workflow is finished or each time the explanation of the next workflow is called. The work improvement supporting system 1 can grasp the progress of the work flow at each unit in real time by monitoring the operation to the work instruction terminal 23.
The operator can also hold an operator terminal 27. The worker terminal 27 is, for example, a mobile phone (including a so-called smart phone) or a portable information terminal issued by a company. The use state of the operator terminal 27 is managed.
The configuration of the work improvement supporting system 1 will be described. The work improvement support system 1 includes, for example, a work condition monitoring unit 11, a production performance management unit 12, a production plan management unit 13, an operator management unit 14, a work image management unit 15, a work analysis unit 16, and a screen display unit 17. As shown in the embodiment described later, the work improvement support system 1 may further include an actual work time detection unit 18 and an operator terminal management unit 19 that manages the operator terminal 27.
Moreover, all entities of these functions 11 to 19 need not be provided in the work improvement supporting system 1. For example, the work condition monitoring unit 11, the production performance management unit 12, the production plan management unit 13, the operator management unit 14, the operator terminal management unit 19, and the like may be provided outside the work improvement support system 1, and only necessary information may be transmitted from these external functions 11 to 14, 19, and the like to the work analysis unit 16.
The work status monitoring unit 11 monitors the progress status of the work at each unit 21 based on the identification information read from the RFID tag 26 by the RFID reader 22 of each step and the operation performed by the operator to the work instruction terminal 23, and transmits the progress status to the production performance management unit 12.
The production record management unit 12, which is an example of the "record management unit", manages the production record for each cell (step) based on the data from the work condition monitoring unit 11.
The production plan managing unit 13, which is an example of the "plan managing unit", manages a production plan of the work site 2. The production plan management unit 13 manages a production plan of the entire production site and a production plan for each unit.
The worker management unit 14 manages, for example, a worker number, a name, a work mode, a work time, a history of a process in charge, and the presence or absence of a skill required in each unit of each worker. The information managed by the worker managing unit 14 is written in the job ticket 26-1.
The work image management unit 15 stores and manages the work image data captured by the cameras 24 used in the work site 2 in the work image storage unit 151 in association with the capturing times. The work video management unit 15 also stores and manages video data relating to a time other than the work time, such as 24 hours 365 days or 24 hours of all the working days, as a part of the work video data. That is, the work video management unit 15 manages video data for a long time or a long period, and manages video data not only during a time when the worker is working but also during a time period not directly related to the work. As in the embodiment described later, the working image management unit 15 may include an image quality control unit 152 that controls the image quality of a part or all of the cameras 24.
The job analysis unit 16 determines whether or not a bottleneck job as a "predetermined job to be improved" occurs in each cell based on the production performance data of each cell managed by the production performance management unit 12 and the production plan for each cell managed by the production plan management unit 13. That is, the job analysis unit 16 detects, as a bottleneck job, a job estimated to be a bottleneck job from the actual result value (job time) and the target value (target job time) for each job.
The job analysis unit 16 reads out job image data corresponding to the detected bottleneck job from the job image management unit 15, and displays the job image data on the screen display unit 17. The job analysis unit 16 can display not only job image data of a bottleneck job but also predetermined information related to the bottleneck job on the screen display unit 17. The predetermined information related to the bottleneck work includes, for example, information indicating a work flow of the bottleneck work, information related to a worker who is responsible for the bottleneck work, information related to the product 25 and its components related to the bottleneck work, and the like.
A user such as a production management responsible person who is responsible for improvement of a work process can estimate the cause of a bottleneck and make a countermeasure by confirming the work image data on the bottleneck displayed on the screen display unit 17. The prepared countermeasure is updated to the workflow indication information after the verification. The operator can perform the work with reference to the work flow instruction information (information indicating how to advance the work such as characters and images) for which the countermeasure has been prepared.
The actual working time detection unit 18 detects a time during which a working is actually possible (actual working time) from the working time on the surface of the operator W and notifies the work analysis unit 16 of the time. As shown in the embodiment described later, the actual working time detection unit 18 can calculate the actual working time based on, for example, the working image data managed by the working image management unit 15 and the use history of the operator terminal 27 managed by the operator terminal management unit 19.
Fig. 2 is a functional configuration diagram of the work improvement support system 1. The work status monitoring unit 11 includes, for example, an RFID reader 22, a work instruction terminal 23, and an RFID management system (not shown) that manages RFID data read by the RFID reader 22.
The production record management unit 12 reads data indicating the progress of the work site from the RFID data and the operation contents to the work instruction terminal 23, and grasps the production record.
The data collection unit 101 acquires the actual results data on each job at each cell 21 from the production actual results management unit 12 periodically or aperiodically, and acquires a production plan for each process (production plan for each cell) from the production plan management unit 13. The data collection unit 101 does not need to periodically acquire a production plan for each process, and may acquire the production plan for each process from the production plan management unit 13 when the production plan is changed. The data collection unit 101 stores the performance data of each cell 21 acquired from the production performance management unit 12 and the production plan by process acquired from the production plan management unit 13 in the data pool 102. The actual performance data also includes data of the work time required for each work flow at each cell.
The job analysis unit 16 reads the production plan and the actual results data for each process from the data pool 102, analyzes the job status of each unit 21, extracts the bottleneck job, and displays the bottleneck job on the screen display unit 17. The job analysis unit 16 provides an instruction to the job image management unit 15 to display the job image data corresponding to the bottleneck job on the screen display unit 17.
The work video data and the actual result data managed by the work video management unit 15 are managed at the same time managed by the time management unit 103. The time management unit 103 may acquire time information from a time server provided outside the work improvement support system 1 and use the time information, or may use a timer in the time management unit 103.
In the present embodiment, by searching the time information in the job video data at the start time of the bottleneck job, the job video data corresponding to the bottleneck job can be read from the job video management unit 15. Further, instead of the time management method, flag information indicating the pause of the job may be set in the job image data every time each job is completed.
Fig. 3 is an example of a computer system that realizes the work improvement support system 1. The computer system 1000 is configured by connecting a video management server 1002, a database server 1003, an application server 1004, and a personal computer 1005 via a communication network CN, for example.
The video management server 1002 is a computer that realizes the working video management unit 15. The image management server 1002 is connected to each camera 24 of each unit 21 via a hub 1001, and stores the work image data acquired from each camera 24 in a hard disk drive, a tape drive, a semiconductor memory, or the like. The hub 1001 may also have a function of supplying power to each camera 24.
The database server 1003 is, for example, a computer that implements the data pool 102 or the like. The application server 1004 is a computer for realizing the production record management unit 12 and the production plan management unit 13, for example. The personal computer 1005 is a computer that realizes the job analysis unit 16 and the screen display unit 17, for example.
Fig. 3 is only one example of a computer system that can be applied to the present embodiment. A computer system having a configuration other than that shown in fig. 3 may be used in the work improvement support system 1 of the present embodiment.
For example, when the work site 2 and the work improvement support system 1 are physically separated from each other, the copy of the work video data managed by the video management server 1002 may be provided at a location physically close to the personal computer 1005. Thus, the job analysis unit 16 operating on the personal computer 1005 can quickly acquire a copy of the job video data and display it on the screen display unit 17.
Fig. 4 shows an example of the job performance management table 121. The job performance management table 121 manages the contents of each job. The work performance management table 121 can be created for each cell 21, but one cell is described in fig. 4. The work performance management table 121 can be managed by the production performance management unit 12.
The job performance management table 121 manages a product name 1211, a manufacturing number 1212, a job flow 1213, a job time 1214, and a job start time 1215 in association with one another. The work performance management table 121 may include items other than those shown in fig. 4 (for example, date and time of manufacture, worker identification information, and the like).
The job flow 1213 is information identifying the job flow executed at the unit 21, such as a job name. The work time 1214 is a time required for each work flow. As described above, the operator performs the work based on the work instruction information displayed on the work instruction terminal 23, and operates the terminal 23 before and after the start of the work. Thus, the work condition monitoring unit 11 can grasp the time required for each worker of each unit 21 to perform each work.
The job start time 1215 is the start time of each job. When the pause of the job is detected from the operation to the job instruction terminal 23, the job start time is specified and stored in an item 1215 of the job performance management table 121.
Fig. 5 is an example of the job flow management table 131. The work flow management table 131 manages a target value of each job and a storage destination of the job instruction information. The workflow management table 131 can be set for each product 25. In fig. 5, a case where a work flow on a plurality of products 25 is managed in one table 131 is exemplified. The work flow management table 131 can be managed by the production schedule management unit 13.
The work flow management table 131 manages, for example, product names 1311, work flows 1312, target work times 1313, and storage destinations 1314 of job instruction information in association with one another. Product name 1311 is the name of product 25. The job flow 1312 is information for identifying each job flow (each job) executed to produce the product. The target job time 1313 is a target time required for the completion of each job flow (each job).
The storage destination 1314 of the work instruction information is an address where information for instructing a worker with characters, images, or sounds for a work flow required for manufacturing the product 25 is stored. One job instruction message may be prepared for the entire series of jobs required for manufacturing the product 25, or the job instruction message may be prepared for each independent job flow. Fig. 5 shows a case where job instruction information is prepared for the whole of a series of jobs. In this case, the job instruction information includes an instruction of an operation button or an operation for inputting the start or end of each job flow to the terminal 23.
Fig. 6 is a flowchart showing the job image management processing. The process is executed by the work image management unit 15. In the example of fig. 6, the following is explained: the work site 2 is physically separated from the work improvement support system 1, and a copy of the work video data is provided in the vicinity of the work improvement support system 1 in order to reduce the read-out delay of the work video data.
The work video management unit 15 starts video recording in response to the video recording start instruction from the work analysis unit 16 (S11: YES). Basically, in the present embodiment, the status of the unit 21 (and the status around the unit) at the work site 2 is captured and stored during the period in which the work is performed (the time before the start of the work, the time after the end of the work) and the status of the unit 21 (and the status around the unit) at the work site 2 is also captured and stored during the period in which the work is not performed (the time before the start of the work, the time after the end of the work).
The working video management unit 15 starts shooting by each camera 24 of each cell 21 (S12), and stores the shot image data in the working video storage unit 151 (S13).
The working video management unit 15 determines whether or not the transfer start timing has come (S14), and when it is determined that the transfer start timing has come (S14: yes), transfers the working video data (shown as image data in the figure) to a predetermined transfer destination (S15). As the transfer start timing, for example, a late night time period with a small load on the computer system 1000 may be selected.
When the transmission is completed (YES in S16), the job video management unit 15 determines whether or not to stop recording the job status (S17). In the present embodiment, the process returns to step S12 in order to continue the video recording regardless of the presence or absence of the job. On the other hand, for example, the video recording may be stopped in preparation for maintenance work of the camera 24.
If the working video management unit 15 does not make a copy of the working video data in the vicinity of the working improvement support system 1, steps S14 to S16 may be omitted.
Fig. 7 is a flowchart showing the work improvement support processing. The present process is executed by the job analysis section 16.
The job analysis unit 16 acquires the target job time and the job time for each job from the production plan management unit 13 and the production record management unit 12 (S21).
The job analysis section 16 extracts a job estimated to be a bottleneck job from the degree of difference between the target job time and the job time, and displays information (for example, a cell number, a job name, and the like) specifying the bottleneck job on the screen display section 17 (S22).
For example, the user who is the responsibility for improving the work process can select one or more of the bottleneck works displayed on the screen display unit 17 (S23: yes). The job analysis section 16 reads out the job video data corresponding to the job (bottleneck job) selected by the user from the job video management section 15 (S24), and reproduces and displays the read-out job video data on the screen display section 17 (S25).
As described in fig. 4, since the intermittence of each job is managed by the time information (the job start time 1215 in fig. 4), it is possible to specify the job video data related to the job selected by the user by comparing the job start time with the time information in the job video data.
The user can check the job image data displayed on the screen display unit 17 and investigate the cause of the bottleneck in the job or investigate countermeasures for eliminating the bottleneck.
Then, the improvement policy (bottleneck countermeasure) formulated by the user is registered in the production plan managing section 13 as a corrected version of the job instruction information (S26).
According to the present embodiment thus configured, since the bottleneck job can be extracted and the job video data corresponding to the bottleneck job can be reproduced and displayed, the user can relatively easily visually confirm the actual state of the bottleneck job. Therefore, according to the present embodiment, it is possible to assist the user in making a bottleneck countermeasure and improve the usability of the user. Since the cycle of work improvement by the user can be shortened, the production site (work site) can be effectively improved, and the productivity can be improved.
In the present embodiment, the image of the unit 21 (and its surroundings) is captured and stored for a long time regardless of the presence or absence of the work, and therefore, it is possible to grasp the situation in which the operator is not in the middle of the period, for example, the invasion of a third person or a small animal, the change in the position of an appliance or a rack, and the like. Therefore, the work improvement can be further supported.
Although the size of the storage device for storing the image data of the job is increased, if the image of the unit 21 is captured and stored for a long time regardless of the presence or absence of the job, the image can be used for the subsequent analysis job.
Example 2
Embodiment 2 will be described with reference to fig. 8 and 9. The following embodiments including the present embodiment are equivalent to the modification of embodiment 1, and therefore the description will be made centering on the difference from embodiment 1. In the present embodiment, a time when work is actually possible (actual work time) is detected instead of the work time on the surface.
Fig. 8 is a flowchart showing a process of detecting an actual job time. This process is executed by the actual working time detection unit 18 shown in fig. 1, for example. The actual working time detection unit 18 may be provided in the working analysis unit 16.
The actual working time detection section 18 calculates an actual working-possible time by subtracting a working-impossible time during which a work cannot be performed from a working time on the surface for each work at each cell (S31) (S32 to S35).
The actual working time detection unit 18 determines whether or not the operator is present in the cell 21 (presence/absence) by analyzing the image data of the camera 24, for example, and detects a time when the operator is not present in the cell 21 as a working disabled time (S32).
The actual working time detection unit 18 acquires the time when the operator uses the operator terminal 27 based on the history managed by the operator terminal management unit 19, and detects the terminal use time as the working disabled time (S33).
The actual working time detection unit 18 subtracts the inoperable working time from the working time on the surface to calculate the actual working time (S34). Here, the actual working time detection unit 18 calculates the net inoperable time by taking into account the start time and the end time of the inoperable time. For example, when the operator uses the operator terminal 27 at a place away from the unit 21, the absence time and the terminal use time are not simply summed up, and only the absence time is used as the inoperable time.
The actual working time detector 18 stores the actual working time calculated in step S34 in the work performance management table 121A shown in fig. 9 (S35).
Fig. 9 is an example of the work performance management table 121A according to the present embodiment. This table 121A includes an actual work time 1216 and an actual work start time 1217, compared to the table 121 described in fig. 4.
The actual work time 1216 stores a time during which the worker can actually work. The actual job start time 1217 stores the start time of the actual job time. In some cases, a plurality of values are stored at the actual work start time 1217, for example, when the operator leaves during the work.
In the present embodiment, the "actual working time" is used instead of the "working time" in the working improvement support processing described in fig. 7. For example, when the worker is suddenly called and departed from the unit 21 at the time of the job, the job time on the surface becomes longer than the target job time in embodiment 1, and therefore, there is a possibility that the worker is extracted as a bottleneck job. However, since the operator returns to the unit 21 and resumes the work, if the work is completed within the target work time, only a temporary work delay due to a sudden reason occurs. Although the temporarily delayed job may be detected as a bottleneck job in embodiment 1, a substantial bottleneck job having an actual job time longer than the target job time can be extracted in this embodiment.
The present embodiment configured as above also achieves the same operational effects as embodiment 1. Further, in the present embodiment, it is possible to determine whether or not it is a bottleneck job based on the actual job time instead of the job time on the surface detected in embodiment 1, so it is possible to analyze the job status more accurately and improve reliability and usability.
Example 3
Embodiment 3 will be described with reference to fig. 10. In the present embodiment, the image quality of each camera 24 is controlled and saved.
Fig. 10 is a flowchart showing the job image management processing according to the present embodiment. The present process is different from the process described in fig. 6 in that there is a new step S18 between step S12 and step S13.
When the image data captured by each camera 24 is stored, the working image management unit 15 sets the storage quality (S18). The image quality includes, for example, resolution and color. The work image management unit 15 sets the stored image quality of each camera 24 according to the work, for example.
For example, the camera 24 at the place where the best image can be taken can be set to have a high saved image quality as the main camera, and the other cameras 24 can be set to have a low saved image quality as the sub-cameras.
Alternatively, the stored image quality of the camera 24 having a high possibility of detecting the movement of the operator being equal to or more than the predetermined amount may be set high, and the stored image quality of the other cameras 24 may be set low.
Alternatively, the storage quality of image data captured during a job may be set high, and the storage quality of image data captured during a period in which the job is not performed may be set low.
The present embodiment configured as above also achieves the same operational effects as embodiment 1. In the present embodiment, since the storage image quality is controlled according to the job, the size of the stored job video data can be reduced, and the storage cost can be reduced.
The present invention is not limited to the above embodiments. Those skilled in the art can make various additions, modifications, and the like within the scope of the present invention. The above-described embodiments are not limited to the configuration examples shown in the drawings. The configuration and the processing method of the embodiment can be appropriately changed within the scope of achieving the object of the present invention.
Each component of the present invention can be arbitrarily selected, and the present invention also includes an invention having a selected configuration. The configurations described in the claims can be combined with combinations other than the combinations described in the claims.
Claims (7)
1. An operation improvement support system for supporting improvement of an operation process, the operation improvement support system comprising:
an actual results management unit for managing actual results data relating to each of the jobs included in the work process;
a schedule management unit configured to manage schedule data related to each of the jobs;
a work image management unit for managing work image data on which the status of a work site where each of the works is performed by an operator is photographed; and
and a job analysis unit that determines whether or not the job corresponds to a predetermined job to be improved based on the performance data and the plan data relating to the job, and extracts predetermined job image data relating to the job determined to correspond to the predetermined job from the job image data when the job is determined to correspond to the predetermined job.
2. The work improvement support system according to claim 1, further comprising:
and a display unit that displays the predetermined work image data.
3. The work improvement support system according to claim 2, wherein,
the respective operations are associated with the operation image data based on an operation from an operator performed on an operation instruction terminal provided to the operator in association with the respective operations.
4. The work improvement support system according to claim 3, wherein,
the actual performance data is the operation time required by the operation;
the schedule data is a target job time for the job;
the predetermined job is a bottleneck job in which the job time is longer than the target job time by a predetermined value or more.
5. The work improvement support system according to claim 4, further comprising:
and an actual working time detection unit that detects an actual working time during which the operator actually performed the work during the working time.
6. The work improvement support system according to claim 5, wherein,
the work image management unit manages work image data captured by a plurality of cameras disposed at the work site, and controls the image quality of each of the work image data according to the work.
7. A work improvement supporting method for supporting improvement of a work process by a computer, wherein,
the computer:
managing actual result data related to each operation included in the operation process;
managing plan data related to the respective jobs;
managing work image data in which a situation of a work site where each of the works is performed by a worker is photographed;
determining whether the job corresponds to a predetermined job to be improved based on the performance data and the plan data related to the job;
and extracting predetermined work image data related to the work determined to correspond to the predetermined work from the work image data when the work is determined to correspond to the predetermined work.
Applications Claiming Priority (3)
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| JP2017-142745 | 2017-07-24 | ||
| JP2017142745A JP6945373B2 (en) | 2017-07-24 | 2017-07-24 | Work improvement support system |
| PCT/JP2018/019094 WO2019021592A1 (en) | 2017-07-24 | 2018-05-17 | Task refinement assistance system and method |
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| CN110945444A true CN110945444A (en) | 2020-03-31 |
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| JP (1) | JP6945373B2 (en) |
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| TWI823328B (en) * | 2021-09-09 | 2023-11-21 | 日商歐姆龍股份有限公司 | Management device and management method |
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| JP6945373B2 (en) | 2021-10-06 |
| WO2019021592A1 (en) | 2019-01-31 |
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