• Journal of the Korea Safety Management & Science
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• v.14 no.3
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• pp.127-134
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• 2012

Plant safety management that is enforcing introducing more than 95% in domestic manufacturing industry is using total plant efficiency by the evaluation index, and as a result, can see a lot of examples that plant productivity, economy and safety is increased. The efficient safety estimation for a business should analyze an accident data by considering every possible and potential factor. This study's purpose centers plant safety management activities that is management system for plant production and safety efficiency's maximization, plant evaluation system that plant safety management activities factor(reliability, maitainability, safety, service quality) that is enforcing in manufacturing industry can develop evaluation model that can evaluate qualitative activities by quantitative activities in process that maximize plant safety management wishes to do design.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.2
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• pp.110-119
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• 2020

In order to provide priorities of the factors affecting the introduction of Smart Factory, This study reconstructed the factors and calculated the priorities through AHP (Analytic Hierarchy Process). The first layer of the hierarchy have 4 factors; productivity increase, brand image improve, marketing improve, cost reduction. The second layer of the hierarchy have 3 factors belong to the first layer, so the total number of second layer is 12. We divided the characteristics of enterprises into type of manager and age. The C.R. (consistency ratio) values of the respondents were found to be less than 0.1 and were judged to be a 'reasonable test'. As a result, the weights of the higher layer and the lower layer were obtained respectively, and then the weights of the higher layer and the weights of the lower layer were multiplied to obtain the total weights. Unlike previous studies that only surveyed factors that companies consider when introducing smart factory, (1) weighing and prioritizing factors were achieved. There are differences in priorities, (2) smart factory can be studied with the type of manager and firm age. When establishing policies, it is a practical implication (3) to assess its strategy not only for government officials but also for executives.

• The Journal of the Korea Contents Association
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• v.19 no.12
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• pp.565-572
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• 2019

Optimization of production system of polyester manufacturing companies is an important task for strengthening the competitiveness of the domestic polyester industry. The purpose of this study is to present a way to evaluate the goodness of the polyester manufacturing systems determined by the combinations of production facilities and to derive the optimal configuration of the production system. To this end, the criteria or factors for the evaluating polyester production system were derived and the Analytic Hierarchy Process (AHP) was used. Using the AHP model, we derived weights on the criteria for evaluating polyester production system and drew priorities for the configurations of the production systems under consideration.

• International Journal of Quality Innovation
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• v.5 no.2
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• pp.132-140
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• 2004

Supply Chain Management (SCM) has drawn high attention and been discussed and under investigation for over two decades. However, how Hong Kong manufacturing firms carry out SCM is still unclear. In order to open the myth on what essentials are critical for SCM implementation, a large-scale questionnaire survey was conducted together with Expert Interviews in 2003. A SCM framework was then developed in which all the critical factors were summarized, categorized and prioritized to come up with a foundation for a self-assessment system for improving SCM performance.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.15 no.5
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• pp.39-47
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• 2016

Nowadays, several welding processes are generally used to join parts together, and the materials are generally steel, aluminum, copper, stainless steel, and other difficult-to-weld materials. If a proper welding process is chosen, it is helpful for welding parts. However, there is no desirable technique for appropriately deciding on the welding process in the industry. Therefore, an appropriate method of selecting a welding process is needed for the novice worker in the industry. In this sense, a new analytic network process (ANP) technique is used for effective decision making in welding. By considering several criteria in ANP, a selection method is suggested to decide on the proper welding process. In the study, several criteria were considered for the proper welding of parts. By considering a matrix of prior interdependence effects among various welding processes, a decision-making method based on an ANP is accomplished using a weighting matrix, which is supposed to select an appropriate welding process. In addition, for appropriate decision criteria of the welding process, several factors, such as material, shape, precision, economics, and equipment, are used to accomplish the ANP algorithm. Moreover, the final weighting matrix is calculated following its ANP strategy. Furthermore, this decision-making technique is applied to both stainless razor spot joining and thick steel pipe joining. The results show its reliability and practicality, and the novice engineer and manager can use this technique to determine the best welding process.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.30 no.3
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• pp.150-157
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• 2007

Certification about management innovation business (Mainbiz) was added in 2006 newly along with existent technical innovation business certification (Innobiz) and venture business certification with government's policy connected with reform style small and medium enterprises 30 thousand upbringings. Drew dividing management innovation business evaluation figure by manufacturing industry and service industry through leading study, gives weight by industry about drawn evaluation figure and must give estimation point of suitable level. This studies judge importance about evaluation figure by industry and consider priority order by evaluation figure using AHP (Analytic Hierarchy Process) that use expert group and gave point.

• Journal of Korea Port Economic Association
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• v.24 no.4
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• pp.237-255
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• 2008

This paper aims to clarify if clustering effects among industries exist and if port-industry clustering effects exist. A knock-down approach was used in a survey and 16 industries were categorized. We defined which industry is more competitive in industry clusters and port-industry clusters. Another survey to experts was carried out to identify which industry is more appropriate to one of the three ports in Sudokwon (Seoul Metropolitan Areas): Incheon port, Pyungtaik port and Dangjin port. Five manufacturing industries are selected considering port-industry clustering relationships in this area and Analytic Hierarch Process was used for a pairwise comparison. Locational, social and economic factors are selected for 1st level. A result shows that Incheon port is more competitive in petroleum manufacturing, primary metal manufacturing and rubber and plastic manufacturing and Pyeontaik port is more competitive in metal assembly manufacturing and automobile and trailer manufacturing. However, sensitivity analysis shows a turnover of ranking in some industries. As there exist slight differences among three ports, cooperation is necessary when the government and Port Authorities make plans.

• Journal of the Korea Safety Management & Science
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• v.13 no.4
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• pp.117-124
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• 2011

Supplier selection is one of the most important activities of a company. This importance is increased even more by new strategies in a supply chain, because of the key role suppliers perform in terms of quality, costs and services which affect the outcome in the buyer's company. In addition, green production has become an important issue for almost every manufacturer and will determine the sustainability of a manufacturer. Therefore a performance evaluation system for supplier and green suppliers is necessary to determine the suitability of suppliers to cooperate with the company. Supplier and green supplier selection is a multiple criteria decision making problem in which the objectives are not equally important. In practice, vagueness and imprecision of the goals, constraints and parameters in these problems make the decision making complicated. The objective of this study is to construct a decision-making process using fuzzy analytic hierarchy process (FAHP) and balanced scorecard (BSC) for evaluating supplier and green suppliers in the manufacturing industry. The BSC concept is applied to define the hierarchy with four major perspectives and performance indicators are selected for each perspective. FAHP is then proposed in order to tolerate vagueness and ambiguity of information. Finally, FAHP is applied to facilitate the solving process. With the proposed approach, manufacturers can have a better understanding of the capabilities that supplier and green supplier must possess and can evaluate and select the most suitable supplier for cooperation.

• Journal of the Korea Safety Management & Science
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• v.13 no.3
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• pp.63-69
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• 2011

As environmental protection is becoming more and more important, green production has become a key issue for almost every manufacturer and will determine a manufacturer can be sustainable in the long term. Therefore a performance evaluation system for green suppliers is necessary to determine the suitability of suppliers to cooperate with the company. While the works on the evaluation and/or selection of suppliers are abundant, those that concern environmental issues are rather limited. The objective of this study is to construct a combined model based on fuzzy analytic hierarchy process (FAHP) and balanced scorecard (ESC) for evaluating green suppliers in the manufacturing industry. The ESC concept is applied to define the hierarchy with four major perspectives (i.e. financial, customer, internal business process, and learning and growth), and performance indicators are selected for each perspective. FAHP is then proposed in order to tolerate vagueness and ambiguity of information. Finally, FAHP is finally constructed to facilitate the solving process. With the proposed model, manufacturers can have a better understanding of the capabilities that a green supplier must possess and can evaluate and select the most suitable green supplier for cooperation.

• IE interfaces
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• v.23 no.4
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• pp.275-285
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• 2010

In complex industrial world, many companies make every effort to analyze their competition capability through various performance evaluation tools to cope with rapidly changing business environment. Among evaluation tools the balanced scorecard (BSC), put forward by Kaplan and Norton in 1992, is a strategic performance management tool for measuring whether the smaller-scale operational activities of a company are aligned with its larger-scale objectives in terms of vision and strategy. The BSC tool offers a comparative advantage over others to evaluate the objective achievement of a company by linking its strategic objectives with operational KPI. In this paper, we introduce a case that the BSC performance evaluation system was implemented based on product data management and applied it to the business process. Specially, we shows a implementation procedure to derive discipline-specific topics and key performance metrics.