• Land and Housing Review
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• v.11 no.1
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• pp.11-19
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• 2020

This paper proposed an effect analysis method that meets the characteristics and purposes of the revitalization project for old industrial complexes, and quantified the economical effects about the project in Jeollabuk-do by case analysis. The problems on the existing effect analysis about revitalization project for old industrial complexes, estimated as transportation benefits on the main entrance roads plan and the increased rent benefits on the internal roads and other plans, were examined. In addition, the land use plan ratio on the old industrial complexes compared to the averages, and the surveys to the residential company were conducted. And this paper finally proposed an effect analysis methodology for the revitalization project for old Industrial Complexes in consideration of the increase in the operation rate and the added values through the conversion to high value-added industrial sectors. It was analyzed that new value added of KRW 743,278 million can be generated for next 30 years when the revitalization project for old Industrial Complexes in Jeollabuk-do is implemented.

• Journal of the Korean Society of Safety
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• v.33 no.1
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• pp.16-21
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• 2018

Cause analysis of accidents associated with industrial machines and devices is essential to improve the effectiveness and the efficiency of industrial safety system in Korea. This study focuses on cause analysis of accidents associated with industrial machines and devices. In particular, analysis of abstracts of accidents which are written in descriptive format and, therefore, inherently unstructured and exhibits characteristics of big data is suggested and tested. Automatic analysis of such big data performed in this study reveals the consistent results with the manual analysis results in previous studies. Analysis results also suggest that incorporating transition from the current user-oriented indirect regulations to more manufacturer and user balanced direct regulations will guarantee more effective prevention of industrial accidents at the early stage of generation of danger.

• Journal of Korean Institute of Industrial Engineers
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• v.40 no.6
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• pp.618-627
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• 2014

This paper aims to construct and analyze the domestic collaborative research network in industrial engineering. Using co-authorship information contained in the papers published in the two journals of the Korean Institute of Industrial Engineers, the collaborate research network at the institutional level is constructed. The core institutions in the network are identified by means of the centrality indexes of social network analysis. In addition, the five types of roles of the institutions in industry-university-institute cooperation are examined through brokerage analysis: coordinator, consultant, gatekeeper, representative, and liaisons. The findings are expected to be fruitfully utilized in formulation of R&D strategy of relevant organizations and technology policy making for promoting collaborative research in industrial engineering.

• Journal of Korean Library and Information Science Society
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• v.25
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• pp.501-527
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• 1996

This study attempts to provide the foundation that KINITI and industrial su n.0, pporting organizations can be strong information analysis centers if they fortify their information analysis activities. The following conclusions are resulted from the analysis in the state-of-the-art-report covered in national information flow system, service methods and their publications of the information analysis activities provided by the KINITI and industrial su n.0, pporting organizations. First, the KINITI and industrial su n.0, pporting organizations have not be acquiring enough information materials. The services for bibliographic information should guarantee the uses of original documents. Second, the number of organizations providing on-line information services has been increasing, but the provided materials are not sufficiently suited for user's requests. Third, the speedy information provision and efficient information dissemination for the end users in the long distance may be possible through on-line service, but it requires information analysis procedure to select the necessary information in our industrial environment. Forth, the information activities provided by the libraries of industrial su n.0, pporting organizations should be fortified.

• Korean Journal of Health Education and Promotion
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• v.17 no.2
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• pp.87-98
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• 2000

In this paper, an effective curriculum for the department related to industrial safety and health is developed through task analysis by the following approaches. The first approach is DACUM. The method is reflected the demand of industrial fields on subjects in curriculum. In this paper, DACUM workshop involves a trained DACUM facilitator and a committee of 6 expert workers from industrial safety and health area. 21 subjects which are necessary in the industrial fields have been selected by the DACUM analysis. The other is to understand the relative importance among each subject by AHP method. The relative importance of the subject is shown in the order of safety management, mechanical safety, construction safety, human factors engineering and system safety, chemical safety, electric safety by AHP analysis. The competition of department can be improved, if the result of this research is adapted to the department curriculum related to industrial safety and health.

• Journal of the Ergonomics Society of Korea
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• v.23 no.4
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• pp.23-34
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• 2004

The importance of the industrial safety has been growing gradually as well as the prevention activities on industrial accidents. Industrial accident rates have been decreasing by the prevention activities. However, the fatal industrial accidents such as the death tend to increase and risk per accident has increased. The previous studies on the industrial accidents focus on the entire accidents. However, these studies are lacking for the fatal industrial accidents such as the death. The purpose of this paper is to analyze the characteristics and trend of death which occurred by industrial accident, based on the real data of deaths collected last 5 years from 1999 to 2003 in korea. This paper suggests a analysis method using MDS(MultiDimensional Scaling) that considers accidents variables and properties simultaneously. We evaluate MDPREF (Multidimensional Analysis of Preference Data), one of the MDS analysis, to know the relations between the type of industry and region as well as the type of industry and occupation. This paper finds the type of industry which has high possibilities of death by regional groups. In addition, we find the type of occupation which has high possibilities of death by the type of industry. These findings indicate that industrial classification should be differently controled according to type of occupation and region.

• International Journal of Safety
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• v.5 no.1
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• pp.37-41
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• 2006

The major objective of the statistical analysis about industrial accidents is to determine the safety factors so that it is possible to prevent or decrease the number of future accidents by educating those who work in a given industrial field in safety management. So far, however, there exists no quantitative method for evaluating danger related to industrial accidents. Therefore, as a method for developing quantitative evaluation technique, this study presents feature analysis of industrial accidents in manufacturing field using QUEST algorithm. In order to analyze features of industrial accidents, a retrospective analysis was performed on 10,536 subjects (10,313 injured people, 223 deaths). The sample for this work was chosen from data related to manufacturing businesses during a three-year period ($2002{\sim}2004$) in Korea. This study used AnswerTree of SPSS and the analysis results enabled us to determine the most important variables that can affect injured people such as the occurrence type, the company size, and the time of occurrence. Also, it was found that the classification system adopted in the present study using QUEST algorithm is quite reliable.

• The Journal of Economics, Marketing and Management
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• v.9 no.3
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• pp.11-21
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• 2021

Purpose: The purpose of this study is to understand the status quo of production efficiency in private industrial enterprises above designated scale in China's 31 provinces (including municipalities directly under the central government, autonomous regions) (hereinafter referred to as China's 31 provinces). Research design, data and methodology: Find out the factors affecting the development of production efficiency in private industrial enterprises, using DEA, Data Envelopment Analysis and Malmquist index analysis, build the evaluation model of production efficiency in private industrial enterprises, and analyze the data of China's 31 provinces private industrial enterprises in 2015-2019. Results: The research results show that the production efficiency of private industrial enterprises in China is improving on the whole. Although the total factor productivity has decreased slightly, the overall efficiency and pure technical efficiency have increased significantly. Conclusions: The conclusion of this study can provide reference for Chinese private industrial enterprises to improve production efficiency and make development plan. The limitation of this paper lies in the fact that the private industrial enterprises in inefficient provinces have not been given specific improvement plans.

• Journal of Korean Institute of Industrial Engineers
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• v.28 no.3
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• pp.274-282
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• 2002

This paper discusses a multi-dimensional analysis for Customer Relationship Management (CRM). For this, We propose a decision-making methodology which employs three analysis models. The first model is a three-dimension positioning map to derive a strategy which achieves the Process Value Line (PVL). The second model is the web-shape analysis model to visibly understand the individual based on the customer CSI (Customer Satisfactory Index) data. The third model which supports the web-shape analysis model, is the relative satisfactory analysis model. It considers a satisfaction level after purchasing against before purchasing. Then we perform overall analysis based on the three analysis models to provide marketing strategies to decision makers.

• Korea Real Estate Review
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• v.28 no.3
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• pp.37-52
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• 2018

This paper analyzed the relative efficiency of industrial complexes by type based on the DEA Model. In this analysis, the output and exports of 287 industrial complexes in 2017 were used as output variables, while the industrial land area and the number of employees in the same year were used as input variables. The results of the relative efficiency of industrial complexes by type were as follows: The relative efficiency of industrial complexes was affected mainly by type and the operating period of industrial complexes. In the types of industrial complexes, the most efficient industrial complex was the Urban, high-tech industrial complex, followed by the National industrial complex and the General industrial complex. Therefore, high-tech innovation and government support for industrial complexes would be necessary to increase the efficiency of industrial complexes. In the operation period of industrial complexes, relative efficiencies increased with longer operation periods. To maximize the regeneration effect of the old industrial complex, efficiency must be kept as a priority item of the old industrial complex regeneration project.