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- 저자 : Ryosuke Nakajima (검색결과 5 건)
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Ryosuke Nakajima,Yuta Asano,Takuya Hida,Toshiyuki Matsumoto 대한산업공학회 2018 Industrial Engineeering & Management Systems Vol.17 No.1
This study focuses on adhered dirt such as dust on a product in production process, and considers the relationship between dirt levels of inspection surface and defect detection in visual inspection utilizing peripheral vision. Specifically, images of an inspection surface in an actual factory are analyzed using image analysis for modeling dirt. Moreover, dirt levels of inspection surface, defect locations, and defect characteristics (luminance contrast, size, and bright-dark defects) are designed as experimental factors, and their effect on defect detection rate is evaluated. As a result, it is clarified that the defect detection rate suddenly reduces as the inspection surface becomes dirtier. Consequently, the defects that can be detected easily becomes harder to detect, as the inspection surface is dirtier in visual inspection utilizing peripheral vision.
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A Study on Automation of Network Maintenance in Telecom Carriers for Zero-Touch Operations
Aiko OI,Ryosuke SATO,Yuichi SUTO,Kosuke SAKATA,Motomu NAKAJIMA,Tsuyoshi FURUKAWA 한국통신학회 2020 한국통신학회 APNOMS Vol.2020 No.09
In recent years, there are many work efficiency efforts in particular automation of business processes in various industry. The same trend applies to the network operations of telecommunication carriers; however, although automation of service fulfillment, such as developing network services, is progressing, automation of service assurance such as responding to network failure has not progressed. Currently, network maintenance personnel have independently developed tools for automation of network maintenance (such as troubleshooting) process partially and they are manually performing maintenance tasks by coordinating multiple groups of tools. However, in view of the future decrease in the working population, work efficiency must be further improved. Following this situation, this article focuses on further automation of network maintenance process, by developing technologies to orchestrate existing automation tools. In this paper, handling network failures among network maintenance work is targeted, the challenges and the requirements for expansion in the range of automation is discussed, after discussing current automation of network maintenance at telecom carriers in the real world. After that an implementation method that satisfies these requirements using our orchestrator and OSS products is proposed and evaluated. By defining a workflow of network maintenance that makes each process reusable, it becomes easy to create new workflow and update the one, and furthermore it was found that by reviewing how to code the workflow, it was possible to significantly improve processing performance.
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Masaki Kubo,Takuya Hida,Ryosuke Nakajima,Toshiyuki Matsumoto 대한산업공학회 2019 Industrial Engineeering & Management Systems Vol.18 No.1
Many tasks are currently automated in the manufacturing field, but some are still performed by workers, which require technical knowledge and skills. However, it is difficult for a new worker to learn skills that require precise motion and extensive experience. Conventional on-the-job training (OJT) has a problem, which is the difficulty of defining and evaluating a correct task. Therefore, this study aimed to visualize the proper skills and their effects on quality in metallic painting operations, and to design the concept for a skill training system. Product quality depends on a worker’s motion and the effects of tools. To train a skill based on these factors, it is necessary to visualize the proper skill and to devise a method of training. Therefore, changes to a worker’s motion and the quality of products were visualized using a motion capture (MOCAP) system and three-dimensional computer graphics (3DCG) software. Furthermore, such a system requires a trainee to experience the proper motion and to evaluate his or her skills. The motion of two skilled workers was therefore analyzed to extract their skills as explicit knowledge. The skilled workers’ motion was measured using the MOCAP system. The obtained data were then analyzed as positional and rotational data in three axes for each motion of the main parts of the body. Consequently, 11 types of skills were extracted by analyzing the data. Then, an experiment was conducted to visualize the quality of the metallic painting operation using film thickness as an index. Seven factors for film thickness were extracted, and these were quantified in the experiment. Moreover, these factors were applied to 3DCG, and the film thickness was reproduced by simulation. As the result of a statistical test, the reproducibility of the film thickness was guaranteed in 3DCG. Based on the results, a training system was designed for to enable a new worker to learn the skill.
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Kawashimo, Takashi,Doyo, Daisuke,Yamaguchi, Tatsuya,Nakajima, Ryosuke,Matsumoto, Toshiyuki Korean Institute of Industrial Engineers 2015 Industrial Engineeering & Management Systems Vol.14 No.2
The recent manufacturing industry in Japan has found it difficult to transfer skills from trained workers to inexperienced workers because the former ages and then retires. This is a particular problem for lathe process, as this operation requires explicit and tacit knowledge, and defining the skills clearly in a manual is difficult. This study aims to develop a training system for lathe operation by using a simulator; this includes formulas that help define the relationship between the speed of tool feed and cutting sound/shape of chips which were proposed in the preceding study. The developed training system is verified the effectiveness.
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Takashi Kawashimo,Daisuke Doyo,Tatsuya Yamaguchi,Ryosuke Nakajima,Toshiyuki Matsumoto 대한산업공학회 2015 Industrial Engineeering & Management Systems Vol.14 No.2
The recent manufacturing industry in Japan has found it difficult to transfer skills from trained workers to inexperienced workers because the former ages and then retires. This is a particular problem for lathe process, as this operation requires explicit and tacit knowledge, and defining the skills clearly in a manual is difficult. This study aims to develop a training system for lathe operation by using a simulator; this includes formulas that help define the relationship between the speed of tool feed and cutting sound/shape of chips which were proposed in the preceding study. The developed training system is verified the effectiveness.
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