• Journal of the Korea Safety Management & Science
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• v.19 no.1
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• pp.63-71
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• 2017

As the demand for automation (or autonmation) or clean workplace has grown, the interest in the knowledge and skill regarding safety is rising in manager duty. Moreover, the importance of severity rate of injury has increased due to the enlargement of industry scale, even safety management area has developed. Thus, it is important that production managers, the core of the line process, realize the safety in their production line, even if a safety manager acts as a staff. However, in the duty oriented National Competency Standard (NCS), the education about the safety duty of production management part is insufficient. According to NCS, it is calculated production managers receive only 6.7% of whole safety education regarding the duty related the safety management for production manager in mechanical industry. However, the ability in safety is more demanded from production managers as the concept of "production and safety" turns into the concept of "production with safety". And then in this paper, we will compare and analyze the safety management duty in Korean NCS and the safety management duty in State Leaders Connecting Learning to Work in US manufacturing industry, in terms of the duty of the production manage in mechanical industry (05). And, we will develop the safety duty education system for production manager, by classifying the safety education in domestic mechanical industry into knowledge education, skill education, and attitude education with using AHP(Analytic Hierarchy Process).

• Journal of the Korea Safety Management & Science
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• v.19 no.2
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• pp.107-115
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• 2017

As the industrial society develops, the management of the production line becomes more and more important. There are also diversifying Management methods by industry. In addition, National Competency Standards (NCS) have also been developed. As a result, It has been created standards for each job and provide education and training standards for industrial production management tasks. Customer satisfaction is an ever-growing concern of management throughout the world. In addition, Colleges are focusing on vocational education. Because of the opening of the education market, They are competing in various ways. And, To survive in this competition. They are making great efforts to improve the lecture satisfaction. If education is regarded as an industry, it can be classified as a representative service industry. Because it is formed as a perfect competition between colleges. And then in this paper, This will focus on the mechanical production Manager duties of industrial engineering department related NCS. This study also conducted empirical studies to analyze factors affecting the curriculum using the KANO analysis.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.20 no.8
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• pp.2436-2448
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• 1996

This paper presents the development of three types of network performance manager for IEEE 802.4 token bus networks that are a part of Manufacturing Automation Protocol(MAP). The performance managers attempt to keep the average data latency below a certain level specified for each priority class. All of the three performance managers are based on a set of fuzzy rules incorporating the knowledge on the relationship between data latency and parameters of the priority mechanism. These Fuzzy Network Performance Managers(FNPMs) have been evaluated via discrete event simulation to demonstrate their efficacy.

• International Journal of Precision Engineering and Manufacturing
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• v.1 no.2
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• pp.5-13
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• 2000

Most networks for automation are tuned to an expected traffic condition ar their design stage. During their actual operations, however, the networks experience considerable changes in traffic from time to time. These traffic changes caused by common events like machine failure and production schedule change may adversely affect th network performance and, in turn , the performance of the connected devices. This paper presents experimental results for performance management of a Profibus-FMS network. The performance management aims to maintain a uniform level of network performance at all stations under changing network traffic. The performance management algorithm monitors the performance of individual network stations and commands the stations to change their timer values in order to have comparable performance at all stations. In order to determine the amount of timer change, the algorithm employs a set of fuzzy rules. The algorithm has been evaluated on a Profibus network.