• Journal of Korean Society of Industrial and Systems Engineering
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• v.45 no.3
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• pp.1-17
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• 2022

The purpose of this study is to suggest a plan to improve the level of acceptance of related technologies and the transition to smart factories of small and medium-sized manufacturing enterprises by using 'technology readiness' and 'integrated technology acceptance model'. To this end, the research hypothesis was verified by collecting questionnaire data from 130 small and medium-sized manufacturing companies in Korea and conducting path analysis. First, optimism affects performance expectations, social influence, and facilitation conditions, innovation affects performance expectations, effort expectations, and social influence, discomfort affects performance expectations, social influence, and facilitation conditions, and anxiety affects effort expectations, social influence and facilitation conditions. has been proven to affect Finally, performance expectations, effort expectations, social influence, and facilitation conditions were verified to have a significant positive effect on the intention to accept technology.

• International Journal of Safety
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• v.2 no.1
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• pp.45-49
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• 2003

In this paper, we investigated the relationship between the variables of the industrial accident factors and the manufacturing performances such as production quantity, quality, cost, and delivery. For this investigation, we collected the real data from 30 small/medium-sized manufacturing industries by performing a questionnaire survey and a on-site inter-view with the workers. Thirty industries were made up of 10 from each of the following three industries: metal processing, machinery manufacturing, and chemical products manufacturing. The data analysis was made using SPSS PC+. Based on the result of the analysis, we came to the tentative conclusion that only two variables such as work skill and load affected all four manufacturing performances and the rest of them two or three performances.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.22 no.53
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• pp.45-54
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• 1999

Manufacturing today is becoming increasingly competitive. If a company is to exist and successfully compete, it must pay very careful attention to production management, total quality assurance and total proactive maintenance issues. Overall machine performance, repair efficiency, system level utilization, productivity and quality of output need to be optimized as possible. To accomplish that objective, the behavior of manufacturing equipment and systems need to be monitored and measured continuously if it is possible. Then early warning of possible failure should be generated and proacted on that type of the situation to improve overall operation performance of manufacturing environment. In this paper, Proactive maintenance framework using performance-based reliability structure as enabler technology is proposed. Its paradigm enables one to maximize system through-put and product quality as well as resources in the performance domain. In the case of inadequate knowledge of the failure mechanics, this empirical modeling concept along with performance degradation knowledge can serve as an important product and process improvement tool. The real-time framework extension to proposed framework uses on-line performance information and is capable of projecting the remaining useful period.

• Journal of the Korea Management Engineers Society
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• v.23 no.4
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• pp.165-177
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• 2018

Smart technology has been utilized in various fields of all kinds of industries. Manufacturing industry has built its smart technology environment appropriate for its manufacturing fields in order to strengthen its manufacturing performance and competitiveness. The advance of smart technology for manufacturing industry needs to efficiently produce products, and response customer's demands and services in a global industrial environment. The smart technology capability of manufacturing fields is very crucial for the innovative production and efficient operation activities, and for efficient advancement of the manufacturing performance. We have necessitated a scientific and objective method that can gauge a smart technology ability in order to manage and strengthen the smart technology ability of manufacturing fields. This research provides a comprehensive framework that can rationally gauge the smart technology capability of manufacturing fields for effectively managing and advancing their smart technology capabilities. In this research, we especially develop a structural framework that can gauge the smart technology capability for a smart factory of manufacturing fields, with verifying by reliability analysis and factor analysis based on previous literature. This study presents a 13-item framework that can measure the smart technology capability for a smart factory of manufacturing fields in a smart technology perspective.

• Journal of the Korea Safety Management & Science
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• v.24 no.4
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• pp.149-156
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• 2022

Manufacturing process mining performs various data analyzes of performance on event logs that record production. That is, it analyzes the event log data accumulated in the information system and extracts useful information necessary for business execution. Process data analysis by process mining analyzes actual data extracted from manufacturing execution systems (MES) to enable accurate manufacturing process analysis. In order to continuously manage and improve manufacturing and manufacturing processes, there is a need to structure, monitor and analyze the processes, but there is a lack of suitable technology to use. The purpose of this research is to propose a manufacturing process analysis method using process mining and to establish a manufacturing process mining system by analyzing empirical data. In this research, the manufacturing process was analyzed by process mining technology using transaction data extracted from MES. A relationship model of the manufacturing process and equipment was derived, and various performance analyzes were performed on the derived process model from the viewpoint of work, equipment, and time. The results of this analysis are highly effective in shortening process lead times (bottleneck analysis, time analysis), improving productivity (throughput analysis), and reducing costs (equipment analysis).

• Journal of the Korean Solar Energy Society
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• v.35 no.5
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• pp.31-38
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• 2015

It is important to improve the energy performance in the industrial sector, and therefore most of the manufacturing companies need the energy performance indicators to identify the target and to verify the energy savings. However, the conventional energy performance indicators such as the total energy consumption and the energy intensity are not proper to use. The reason is that they do not consider adequate relevant variables including productions in the boundary of the manufacturing companies. Therefore, the study provides the advanced energy performance indicator using by the linear regression model according to each energy source to manage the target and to verify the energy performance properly.

• International Journal of Quality Innovation
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• v.8 no.3
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• pp.11-22
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• 2007

Nowadays, the competitiveness of any organisations rests dominantly on how they can manage their performance, A host of performance variables such as quality, reliability, and efficiency are recognised as competitive priorities. This paper reviews the criteria and dimensions of performance measures, and discusses six core performance indicators in agribusiness operations with particular reference to the poultry/broiler farms. Besides, a holistic "Quality, Reliability and Efficiency" view of performance is proposed when developing measures for poultry agribusiness operations.

• Industrial Engineering and Management Systems
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• v.3 no.1
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• pp.52-58
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• 2004

This report examines the issue of designing an efficient production system by increasing several types of flexibility. Increasing manufacturing flexibility is a key strategy for efficiently improving market responsiveness in the face of uncertain market demand for final products. The manufacturing system comprises multiple plants, of which individual plants have multiple manufacturing lines that are designed to produce limited types of products in accordance with their size and materials. Imbalance in the workload occurs among plants as well as among manufacturing lines because of fluctuations in market demand for final products. Thereby, idleness of some manufacturing lines and longer lead times in some manufacturing lines occur as a result of the high workload. We clarify how these types of flexibility affect manufacturing performance by improving only one type of flexibility or by improving multiple types of flexibility simultaneously. The average lead time and the imbalance in workload are adopted as measures of manufacturing performance. Three types of manufacturing flexibility are interrelated: machine flexibility, routing flexibility, and process flexibility. Machine flexibility refers to the various types of operations that a machine can perform without requiring the prohibitive effort of switching from one order to another. Routing flexibility is the capability of processing a given set of part types using more than one line (alternative line) in the plant. Process flexibility results from being able to build different types of final products at the same plant.

• Journal of Korea Society of Digital Industry and Information Management
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• v.4 no.4
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• pp.103-111
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• 2008

While the demand for ASP(Application Service Provider) focused on small and medium enterprises who are fully aware of needs of ICT readiness has been increasing, those who consider to adopt ASP are wondering whether their performance would be actually successful if they did. These concerns can be an important standard of judgement, when introducing new information systems, by analyzing ROI(Return on Investment) on the current enterprises. Therefore, to review the feasibility of investing IT and measuring the performance, this study suggests a framework for ROI analysis which estimates IT investment performance, through multi-criteria approach on both financial performance index and non-financial one. We applied methodology on ASP-based IT investment performance evaluation to sample manufacturing companies under 50 employees and deduced the main implications to be considered when introducing the system.

• Journal of Information Technology Applications and Management
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• v.24 no.2
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• pp.55-70
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• 2017

A key factor of competitiveness of a firm is technology innovation including product and process innovation. This paper explores the importance and performance of innovation in IT industry across manufacturing and service business. Using importance-performance analysis based on a survey of Korean manufacturing and service firms, we find the characteristics of innovation in IT under the context of industry difference. Out study indicate that Korean IT firms need to recognize the importance of technology innovation and enhance the performance in some areas. In future research, we will expand the boundary of innovation into non-technology innovation as well as service-specific innovation.