• Proceedings of the Korean Society of Plant Biotechnology Conference
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• 2003.04a
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• pp.31-36
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• 2003

Bio-venture companies have undertaken harsh environment after 2000 bubble corruption. It is unlike to be changed in the near future. The business model of near-term cash flow, financial stability and survival is a key issue to be discussed. The company shall be rearranged to achieve fast recovery from investment and have to show clear and quantitative business model to the investors. Nevertheless, bio-venture should not drop long-term value creation by sacrificing the possibility of emerging technologies. Prior to clarifing agro-bioventure business model, GMO strategy should have broad supports from stakeholders. The interests and worries of stakeholders are discussed and SWOT is analyzed. For sustainable economy of future, new technology continuously should be invested to fit ROI model of genomics-based GMO developments. Hybrid of products ${\varepsilon}$ technologies may be one of the favorites in this stormy season.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.11a
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• pp.219-222
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• 2003

This paper is to propose e-business strategies for individual SME's(small and medium-sized enterprises). e-business maturity model is used to assess e-business maturity level of a target SME, and then corresponding e-business strategy is proposed based on the current maturity level. We studied two SME's to show how it works. Most SME's are small and do not have enough resources to invest on information systems. As it turns out, e-business strategies of SME should heavily depend on its relationship with customers and suppliers. One of the studied SME's is found to be in higher maturity level, because its manufacturing system is tightly related to its customer. One of major implications of this study is that e-business level of SME's should be upgraded considering how it is doing business with its customers and suppliers.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.3
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• pp.1344-1361
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• 2016

ICT contents market is globally considered as an industry of high added value, where sustainability is accomplished through stories that cover wide range of consumers. However, the need for long-term internationalization strategy is growing as countless number of applications and games has pushed the local market to its limit. Thus, this research explored on the industrial characteristics and the internationalization of ICT contents firms through acquisition of competency. Based on Resource Dependence theory, the authors studied how pursuit of legitimacy and autonomy functioned in the expansion process of ICT contents firms. A survey analysis of 212 key decision makers of Korean ICT content firms were performed, to reveal that resource environment and interdependence must undergo a thorough consideration.

• IE interfaces
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• v.16 no.spc
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• pp.1-6
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• 2003

This study deals with the problem of selecting 6 sigma projects. Traditionally, such selection was based on CTQ (critical to quality) or COPQ (cost of poor quality) derived within business units. Since the objective of 6 sigma is to achieve business goals in a short period, 6 sigma projects should be selected and carried out in coincidence with the whole company's strategies. This paper proposes two methods of selecting 6 sigma projects: one is to identify CTQ's by analyzing the company's BSC's (balanced score card) and then deploying them into subunits of the company and the other is to identify those projects with large hidden COPQ or cost of waste by applying value stream analysis and process model simulation to derive process cost models.

• The Journal of Fisheries Business Administration
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• v.52 no.3
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• pp.1-14
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• 2021

The proportions of both the fishery industry and the gross regional domestic product in the national economy are gradually decreasing. If high value-added processed fishery products suitable for regional characteristics are developed, these proportions can be improved. In pursuit of this, it is first necessary to discover processed fishery products specialized in each region and then establish a development framework for them. In this study, location coefficient was used to find processed fishery products specialized in each region. Then, dynamic shift-share analysis was used to establish a development framework which consisted of four development types of processed fishery products. Based on the magnitudes of the industrial mix effect and the regional shift effect, the supporting strategy directions were proposed for four development types of processed fishery products. The supporting strategy directions were all focused on revitalizing the local economy.

• Proceedings of the KIPE Conference
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• 2019.07a
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• pp.416-417
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• 2019

In this paper, an effective power flow control strategy (PFCS) based on the centralized control approach and a DC-link (DCV) restoration algorithm for DC microgrid (DCMG) are presented. By investigating the statuses of system power units, eleven operating modes are given to ensure the system power balance under various conditions. To avoid the system power imbalance caused by the delay of grid fault detection, a reliable DCV restoration algorithm is proposed. In the proposed scheme, when an abnormal variation of the DCV is detected, the battery instantly starts a local emergency control mode to restore the DCV to the nominal value regardless of the control mode from the central controller. The simulations and experiments are carried out to prove the effectiveness of the PFCS and the proposed DCV restoration algorithm.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• v.24 no.4
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• pp.331-350
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• 2020

Exploding gradient is a widely known problem in training recurrent neural networks. The explosion problem has often been coped with cutting off the gradient norm by some fixed value. However, this strategy, commonly referred to norm clipping, is an ad hoc approach to attenuate the explosion. In this research, we opt to view the problem from a different perspective, the discrete-time optimal control with infinite horizon for a better understanding of the problem. Through this perspective, we fathom the region at which gradient explosion occurs. Based on the analysis, we introduce a gradient-explosion-free algorithm that keeps the training process away from the region. Numerical tests show that this algorithm is at least three times faster than the clipping strategy.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.1
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• pp.79-86
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• 2017

This research focused on deciding optimal manufacturing WIP (Work-In-Process) limit for a small production system. Reducing WIP leads to stable capacity, better manufacturing flow and decrease inventory. WIP is the one of the important issue, since it can affect manufacturing area, like productivity and line efficiency and bottlenecks in manufacturing process. Several approaches implemented in this research. First, two strategies applied to decide WIP limit. One is roulette wheel selection and the other one is elite strategy. Second, for each strategy, JIT (Just In Time), CONWIP (Constant WIP), Gated Max WIP System and CWIPL (Critical WIP Loops) system applied to find a best material flow mechanism. Therefore, pull control system is preferred to control production line efficiently. In the production line, the WIP limit has been decided based on mathematical models or expert's decision. However, due to the complexity of the process or increase of the variables, it is difficult to obtain optimal WIP limit. To obtain an optimal WIP limit, GA applied in each material control system. When evaluating the performance of the result, fitness function is used by reflecting WIP parameter. Elite strategy showed better performance than roulette wheel selection when evaluating fitness value. Elite strategy reach to the optimal WIP limit faster than roulette wheel selection and generation time is short. For this reason, this study proposes a fast and reliable method for determining the WIP level by applying genetic algorithm to pull system based production process. This research showed that this method could be applied to a more complex production system.

• Journal of the Korean Society of Costume
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• v.24
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• pp.217-233
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• 1995

The ultimate purpose of this study is to suggest the most effective marketing strategy for the clothing consumer market based on the new generation consumer's clothing selection behavior analysis. In this thesis, it is appempted to make a progress in the new gen-eration consumer's clothing life style types, in clothing purchase behavior analysis among the clothing life style, and also in the marketing strategy for marketers. The subjects selected for the final analysis are 412 the new gerneration women of age 20 thru 34 in seoul and satellite town area. Data were processed the spss package program. As for the analytic method, factor analysis, clustering analysis, XCross-tubulation, F-test with ANOVA, frequency and percentage were applied in the survey. The major findings are as following : life style is classified into four types : The characteristic fashion-directory type(25.7%) ; The reason traditional type(9.0%) ; The sen-sitivity fashion-following type(11.0%) ; The community brand-conscious type(54.3%). 2 Clothing life style types characteristic of the new generation consumer proved that clothing life style types are a significant difference according to the life style, the fashion consciousness and the average monthly spend-ing on clothing. 3. There is an important discrimination according to the clothing life style types in their clothing purchase behavior such as infor-mation usage, clothing choice criterion and brand loyalty. 4. Based on the result of our analysis and the review of literature, the marketing strategy is suggested that characteristic and new design development is efficient way to consumer's purchase need. Therefore apparel industary which pursue an added value must frame marketing strategy on the basis of the target consumer's sensitivity characteristic according to the life style and fashion consciousness.

• Journal of Korea Trade
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• v.24 no.8
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• pp.81-100
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• 2020

Purpose - Based on complexity theory, this study develops a configurational model to predict the profitability of Halal cosmetics firms in the Indonesian and Malaysian markets. The proposed research model involves two level configurations-industry context and selling strategies-to predict high and low scores of a firm's profitability. The industry context configuration model comprises industry stability, product homogeneity, price sensitivity, and switching cost. Selling strategies include customer-focused, competitor-focused, and margin-focused approaches. Design/methodology - This is the first empirical study that calculates causal models using a combination of industry context and selling strategy factors to predict profitability. Data obtained from the marketing managers of cosmetics firms are used to test the proposed configurational model using fuzzy-set qualitative comparative analysis (fsQCA). It contributes to the current knowledge of business marketing by identifying the factors necessary to achieve profitability using analysis of condition (ANC). Findings - The results revealed that unique and distinct models explain the conditions for high and low profitability in the Indonesian and Malaysian halal cosmetic markets. While customer-focused selling strategy is necessary to attain a higher profit in both the markets, margin-focused selling strategy appears to be an essential factor only in Malaysia. Complexity of the interactions of selling strategies with industry factors and differences between across two study markets confirmed that complexity theory can support the research configurational model. The theoretical and practical implications are also illustrated. Originality/value - Despite the rapid growth of the global halal industry, there is little knowledge about the halal cosmetic market. This study contributes to the current literature of the halal market by performing a set of asymmetric analytical approaches using a complex theoretical model. It also deepens our understating of how the Korean firms can approach the Muslim consumer's needs to generate more beneficial turnover/revenue.