• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.7 no.1
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• pp.225-232
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• 2012

The purpose of this study is to explore the necessity of technology commercialization aiding service from government-supported R&D institutions and find key success factors for market performance improvement of business ventures and SMEs. For this aim, we researched relevant theories and KICET(Korea Institute of Ceramic Engineering and Technology)'s "Ceramic Hidden Champion Supporting Project. As government-supported R&D institutions, KICET is not only providing its original main service which is technology advising and development, but also providing a full range of technology commercialization aiding service for business ventures including diagnosis, strategy planning, capital procurement, overseas marketing activity. Qualitative analysis based on relevant theories and meta-analysis framework suggest that such expansion of services is desirable for government-supported R&D institutions to increase market performance of business ventures and SMEs. To lead this business to success, we should develop effective management system and incentive system for external supporting companies and client companies. Also, coordination between team member's activities and budget procurement issue should be solved for further performance creation.

• Journal of the Economic Geographical Society of Korea
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• v.16 no.4
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• pp.567-584
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• 2013

This study aims to explore an evolutionary path of the IT service industry in Fairfax County using the Cluster Adaptive Cycle model in economic geography. The analysis is based on detailed historical and industrial information obtained through a variety of data sources including local archival materials, economic census, and interviews. This study also performs a shift-share analysis during the period of 1990 to 2011. Using the adaptive cycle model, the local IT service industry is indicated by a trajectory of constant cluster mutation. The evolution of the local IT service industry has been closely related to federal government policy due to the regional specificity of the National Capital Region and the proximity of the Department of Defense. Although the economic downturn of the late 2000s, the local IT service industry has been notable resilience and adapted to a changing market and technological environment. This constant mutation of the local industry is resulted from not only high resilience which is based on the large government procurement market, the reinforcement of adaptive capacity of the local firms and the network of economic agents such as firm and supporting institutions, but also high flexibility of the knowledge-based service industry to a changing business environment.

• Journal of Institute of Control, Robotics and Systems
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• v.9 no.5
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• pp.407-412
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• 2003

An effective methodology is .reported for determining the optimal capacity (lot-size) of batch processing and storage networks which include material recycle or reprocessing streams. We assume that any given storage unit can store one material type which can be purchased from suppliers, be internally produced, internally consumed and/or sold to customers. We further assume that a storage unit is connected to all processing stages that use or produce the material to which that storage unit is dedicated. Each processing stage transforms a set of feedstock materials or intermediates into a set of products with constant conversion factors. The objective for optimization is to minimize the total cost composed of raw material procurement, setup and inventory holding costs as well as the capital costs of processing stages and storage units. A novel production and inventory analysis formulation, the PSW(Periodic Square Wave) model, provides useful expressions for the upper/lower bounds and average level of the storage inventory hold-up. The expressions for the Kuhn-Tucker conditions of the optimization problem can be reduced to two subproblems. The first yields analytical solutions for determining batch sizes while the second is a separable concave minimization network flow subproblem whose solution yields the average material flow rates through the networks. For the special case in which the number of storage is equal to the number of process stages and raw materials storage units, a complete analytical solution for average flow rates can be derived. The analytical solution for the multistage, strictly sequential batch-storage network case can also be obtained via this approach. The principal contribution of this study is thus the generalization and the extension to non-sequential networks with recycle streams. An illustrative example is presented to demonstrate the results obtainable using this approach.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.1859-1864
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• 2004

An effective methodology is reported for the optimal design of multisite batch production/transportation and storage networks under uncertain demand forecasting. We assume that any given storage unit can store one material type which can be purchased from suppliers, internally produced, internally consumed, transported to or from other plant sites and/or sold to customers. We further assume that a storage unit is connected to all processing and transportation stages that consume/produce or move the material to which that storage unit is dedicated. Each processing stage transforms a set of feedstock materials or intermediates into a set of products with constant conversion factors. A batch transportation process can transfer one material or multiple materials at once between plant sites. The objective for optimization is to minimize the probability averaged total cost composed of raw material procurement, processing setup, transportation setup and inventory holding costs as well as the capital costs of processing stages and storage units. A novel production and inventory analysis formulation, the PSW(Periodic Square Wave) model, provides useful expressions for the upper/lower bounds and average level of the storage inventory. The expressions for the Kuhn-Tucker conditions of the optimization problem can be reduced to two sub-problems. The first yields analytical solutions for determining lot sizes while the second is a separable concave minimization network flow subproblem whose solution yields the average material flow rates through the networks for the given demand forecast scenario. The result of this study will contribute to the optimal design and operation of large-scale supply chain system.

• Journal of Korean Society of Rural Planning
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• v.22 no.3
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• pp.71-80
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• 2016

Korea is becoming a model country for the developing countries' agricultural and rural development. Drawing implications for Vietnam from Korea's experiences can help make development strategies and policies for other developing countries including North Korea as well as for Vietnam itself. Vietnam is facing an inefficiency in agricultural production and the gap between urban and rural growth has been widening. Farm sizes per household are small and farmlands are scattered. Diversification in rural industry is very restricted. To attack these problems, investment is urgently needed for rural infrastructure building as well as agricultural structure adjustment. In the process of rural development, there have been also encountered such problems as financial procurement, community's spontaneous participation, manpower development for adjusting to industrial structural change. Korea's experiences may be helpful for establishing rural development strategies and policies in Vietnam. Benchmark scopes can go beyond Saemaul Undong in 1970s. Korea's pre- and post-Saemaul Undong era as well as the Saemaul Undong era can be referred. In the wake of globalization, Vietnam has not only experienced compressed rapid economic growth but also encountered policy tasks to eradicate poverty, to realize self-reliance and income increase, and to lessen urban-rural development gap, at the same time. Korea's experiences show that priority needs to be put on the establishment of national and rural development strategies based on Vietnam-specific conditions, utilization of village's resources including community tradition and social capital, fund raising for rural development, farmland development and mobilization, production and living infrastructure building, technology transfer for farmers and vocational training for new job seekers.

• Journal of Institute of Control, Robotics and Systems
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• v.11 no.11
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• pp.956-962
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• 2005

This paper presents an integrated analysis of production and financing decisions. We assume that a cash storage unit is installed to manage the cash flows related with production activities such as raw material procurement, process operating setup, Inventory holding cost and finished product sales. Temporarily financial investments are allowed for more profit. The production plant is modeled by the Batch-Storage Network with Recycle Streams in Yi and Reklaitis (2003). The objective function of the optimization is minimizing the opportunity costs of annualized capital investment and cash/material inventory while maximizing stockholder's benefit. No depletion of all the material and cash storage units is major constraints of the optimization. A novel production and inventory analysis formulation, the PSW(Periodic Square Wave) model, provides useful expressions for the upper/lower bounds and average level of the cash and material inventory holdups. The expressions for the Kuhn-Tucker conditions of the optimization problem can be reduced to two subproblems and analytical lot sizing equations under a mild assumption about the cash flow pattern of stockholder's dividend. The first subproblem is a separable concave minimization network flow problem whose solution yields the average material flow rates through the networks. The second subproblem determines the decisions about financial Investment. Finally, production and financial transaction lot sizes and startup times can be determined by analytical expressions as far as the average flow rates are calculated. The optimal production lot and storage sizes considering financial factors are smaller than those without such consideration. An illustrative example is presented to demonstrate the results obtainable using this approach.

• Journal of Institute of Control, Robotics and Systems
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• v.10 no.6
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• pp.537-544
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• 2004

An effective methodology is reported for determining the optimal lot size of batch processing and storage networks which include uncertain demand forecasting. We assume that any given storage unit can store one material type which can be purchased from suppliers, internally produced, infernally consumed, transported to or from other sites and/or sold to customers. We further assume that a storage unit is connected to all processing and transportation stages that consume/produce or move the material to which that storage unit is dedicated. Each processing stage transforms a set of feedstock materials or intermediates into a set of products with constant conversion factors. A batch transportation process can transfer one material or multiple materials at once between sites. The objective for optimization is to minimize the probability averaged total cost composed of raw material procurement, processing setup, transportation setup and inventory holding costs as well as the capital costs of processing stages and storage units. A novel production and inventory analysis formulation, the PSW(Periodic Square Wave) model, provides useful expressions for the upper/lower bounds and average level of the storage inventory. The expressions for the Kuhn-Tucker conditions of the optimization problem can be reduced to two sub-problems. The first yields analytical solutions for determining lot sires while the second is a separable concave minimization network flow subproblem whose solution yields the average material flow rates through the networks for the given demand forecast scenario. The result of this study will contribute to the optimal design and operation of the global supply chain.

• Korean Journal of Construction Engineering and Management
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• v.1 no.1 s.1
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• pp.45-52
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• 2000

In Korea, demand for the Social Overhead Capital(SOC) projects has tremendously increased since 1970's and is expected to keep growing to support national economic development as well as to enhance the quality of life. In these projects, project planning and feasibility study phase is one of the most critical phases because it determines the success of later phases. However, we have experienced trial and errors repeatedly such as cost overruns and schedule delays in many of the SOC projects. These problems can be prevented or at least expected in the earlier phase and it requires well-developed and standardized project planning process and systems before design, procurement, and construction phases begin. Therefore, the purpose of this research is to investigate current problems in this phase and provide framework for a model for the project planning management which can be used for the SOC projects to insure the whole project success.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.3
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• pp.1-11
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• 2019

Based on the knowledge spillover theory of entrepreneurship(KSTE) and resource based view(RBV), this study examines that how patent based entrepreneurship impacts on improving key performances such as financing, firm innovation, sales, product selling growth, employment. This study which is conducted with data from 353 startup firms indicates that patent based entrepreneurship has positive effects on performance of financing, innovation, product selling growth, and employment. On the other hand, there is no effect of patent-based entrepreneurship on sales performance. This statistical results were the same The results were the same when the independent variables were measured as intensity of patent based entrepreneurship which indicates the rate of patent based product or service among total number of product or service of the startup company.

• Journal of the Korean Institute of Landscape Architecture
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• v.46 no.1
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• pp.17-28
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• 2018

In Seoul, the capital of South Korea, developers of apartment complexes are responsible for including community facilities - senior citizen centers, child care centers, small libraries, and so forth - according to the current Regulations on the Housing Construction Standard Article 2 and 55. These standards have long required certain community facilities, depending on the number of households in each apartment complex, without fully considering whether such provisions meet that community's needs. In this study, we aimed to reveal whether the current provision of community facilities responds to local preference. We conducted surveys of residents in randomly selected ten apartment complexes in Seoul to determine residents' preferences on community facilities using the analytic hierarchy process (AHP). We then compared the survey results with these complexes' current facilities. Our findings showed mismatches between residents' preferences and provisions: outdoor sports facilities, child care centers, and small libraries were found to be strongly preferred, but not provided in some apartment complexes within the study, whereas less-preferred facilities such as senior citizen centers were provided in all complexes. Through this study, we could conclude that current standards regarding the provision of community facilities in Seoul's apartment complexes should be altered to reflect the preferences of residents in apartment complexes.