• International conference on construction engineering and project management
• /
• 2009.05a
• /
• pp.707-716
• /
• 2009

The role of cost modeller is to facilitate the design process by systematic application of cost factors so as to maintain a sensible and economic relationship between cost, quantity, utility and appearance which thus helps in achieving the client's requirements within an agreed budget. There are a number of research on cost estimates in the early design stage based on the improvement of accuracy or impact factors. It is common knowledge that cost estimates are undertaken progressively throughout the design stage and make use of the information that is available at each phase, through the related research up to now. In addition, Cost estimates in the early design stage shall analyze the information under the various kinds of precondition before reaching the more developed design because a design can be modified and changed in all process depending on clients' requirements. Parametric cost estimating models have been adopted to support decision making in a changeable environment, in the early design stage. These models are using a similar instance or a pattern of historical case to be constituted in project information, geographic design features, relevant data to quantity or cost, etc. OLAP technique analyzes a subject data by multi-dimensional points of view; it supports query, analysis, comparison of required information by diverse queries. OLAP's data structure matches well with multiview-analysis framework. Accordingly, this study implements multi-dimensional information system for case based quantity data related to design information that is utilizing OLAP's technology, and then analyzes impact factors of quantity by the design criteria or parameter of the same meaning. On the basis of given factors examined above, this study will generate the rules on quantity measure and produce resemblance class using clustering of data mining. These sorts of knowledge-base consist of a set of classified data as group patterns, of which will be appropriate stand on the parametric cost estimating method.

• Journal of Korean Institute of Industrial Engineers
• /
• v.34 no.2
• /
• pp.216-222
• /
• 2008

The determination of spectrum charges for the operators is a main issue to efficiently manage the limited radio spectrum resources. In this paper, we propose a model to compute the optimal charges for radio spectrum usage. The objective is to determine that will maximize the spectrum charges, and decision variables of ratios for actual or estimated revenues are considered. The spectrum charges are maximized under satisfying the least profit for operators based on Log-Linear demand function. The parameters of actual sales and minimum profit of operators are analyzed to make an efficient management for radio spectrum. The results show that the spectrum charges increase as the actual sales increase, but it decrease as the required minimum profit of operator increases. It is also observed that the government should increase the ratio for estimated sales if anticipating the poor market in the future, otherwise they should increase the ratio for actual sales to maximize the spectrum charges.

• The Journal of Asian Finance, Economics and Business
• /
• v.5 no.3
• /
• pp.65-72
• /
• 2018

The purpose of this paper is to understand the influence of country personality dimensions and product involvement on European consumers purchase and visit intentions, considering the Portuguese context. The increasing economic globalisation has resulted in the reducing of trade barriers between nations and the availability of more foreign products and services across borders. Therefore, the place associations of these products and services might be regarded as a potential competitive differentiator in their respective markets. Despite the proliferation of literature devoted to assessing the effects of country-of-origin, the symbolic dimension of a country's image remains understudied. A questionnaire measuring country personality dimensions, product involvement, and consumer's purchase and visit intention was passed on a sample of 335 European consumers. Country personality indeed matters both positively and negatively. Findings show that while assiduousness positively influences consumer's visit intentions, wickedness has a negative influence on consumer's purchase intentions. Findings also reveal that product involvement has a positive significant influence on consumer's purchase and visit intentions. On developing marketing strategies, international marketers and governmental decision-makers should consider product involvement attributes and specific country personality traits to provide the country's products with a competitive edge, as well as to promote the country as a travelling destination.

• KIEAE Journal
• /
• v.16 no.6
• /
• pp.5-12
• /
• 2016

Purpose: Quasi-steady state simulations have played a pivoting role to expand the user group of simulation to design engineers and architects in Korea. Initially they are introduced in the market as a building energy performance rating tool. In domestic practice, however, quasi-steady state simulations seem to be regarded as a de facto simulation only available for energy retrofit. Selection of ECMs and economic feasibility analysis are being decided through these tools, which implies that running these tools has become a norm step of the Investment-grade Audit. Method: This study aims at identifying issues and problems with the current practice via test cases, analyzing the reasons and opportunities, and then eventually suggesting proper uses of quasi-steady state and dynamic simulations. Result: The functionality of quasi-steady state simulations is more optimized to the rating. If they are to used for energy retrofits, their off-the-shelf functions also need to be expanded for customization and detailed reports. Yet their roles may be limited only to the go/no go decision; because their algorithms are still weak at precisely estimating energy and load savings that are required for making investment decisions compared to detailed simulations.

• Journal of Environmental Policy
• /
• v.3 no.1
• /
• pp.55-69
• /
• 2004

Bioenergy can be obtained from various forms of biomass such as agricultural, food processing, and municipal wastes. Recently, its importance is recognized more seriously because of its positive impacts on economic and stable energy supply and environmental sustainability. Despite its advantages, bioenergy has not been used as much as it was expected, nor has it been developed to the level of attractive commercialization in energy market. The main reasons for the sluggish progress have been analyzed by comparing the bioenergy policies in Korea and U.S.A. Both Korea and U.S. governments have recognized the importance of bioenergy and put in various efforts to promote the use of bioenergy. Both governments have legislated alternative energy promotion plans that support R&D, tax reduction, rewards, and low interest loans. However, it is suggested that the bioenergy policy and plan juxtapose the financial supports (R&D, tax exemption, low interest loan, education, etc.) with strong mandates and obligations. Although imposing strong mandates prerequisites the economically attractive and feasible technologies, it can motivate and speed up more effective technology development, in turn. In addition, the bioenergy R&D support must include studies on commercialization and marketing as well as process development. R&D on the socioeconomic effects of bioenergy should also be supported. Lastly, decision making processes for the bioenergy policy, and for alternative energy overall, must include environmental agencies for taking advantage of environmental benefits of bioenergy.

• Journal of Institute of Control, Robotics and Systems
• /
• v.19 no.6
• /
• pp.563-568
• /
• 2013

The purpose of this study is to find the analytic solution for determining the optimal capacity (lot-size) of a batch-storage network to meet the finished product demand under infrequent shutdowns. Batch processes are bound to experience random but infrequent operating time losses. Two common remedies for these failures are duplicating another process or increasing the process and storage capacity, both of which are very costly in modern manufacturing systems. An optimization model minimizing the total cost composed of setup and inventory holding costs as well as the capital costs of constructing processes and storage units is pursued with the framework of a batch-storage network of which flows are susceptible to infrequent shutdowns. The superstructure of the plant consists of a network of serially and/or parallel interlinked batch processes and storage units. The processes transform a set of feedstock materials into another set of products with constant conversion factors.A novel production and inventory analysis method, the PSW (Periodic Square Wave) model, is applied. The advantage of the PSW model stems from the fact it provides a set of simple analytic solutions in spite of a realistic description of the material flow between processes and storage units. The resulting simple analytic solution can greatly enhance a proper and quick investment decision at the early plant design stagewhen confronted with diverse economic situations.

• Journal of the Korean Society of Environmental Restoration Technology
• /
• v.17 no.3
• /
• pp.75-86
• /
• 2014

An urban ecosystem is a complex system that includes social, economic and ecosystems. Therefore, it is important to consider its environmental capacity while developing a city plan. Most of the plans, however, consider only the social aspects, which fragments the green spaces and disturbs the movement of species. Sungnam has approximately 100 parks with unexecuted development plans and with great potential to contribute towards urban ecosystem enhancement. Therefore, this study applied network analysis to prioritize the development of city parks and contribute towards improving the green network, with Parus spp. as the target species. To compensate for the drawbacks of binary and possibility-based network analysis, this study included two indices, namely $BC^{PC}_K$, $BC^{IIC}_K$, $dPCconnector_k$ and $dIICconnector_k$. These indices make it possible to find patches that could play an important role in green network enhancement. The urban park with greater value gets a higher priority to be transformed into a park. Thus, our methodology could prove to be very useful in prioritizing the undeveloped parks, thereby supporting decision-making.

• Smart Structures and Systems
• /
• v.6 no.3
• /
• pp.309-333
• /
• 2010

Civil infrastructure, in both its construction and maintenance, represents the largest societal investment in this country, outside of the health care industry. Despite being the lifeline of US commerce, civil infrastructure has scarcely benefited from the latest sensor technological advances. Our future should focus on harnessing these technologies to enhance the robustness, longevity and economic viability of this vast, societal investment, in light of inherent uncertainties and their exposure to service and even extreme loadings. One of the principal means of insuring the robustness and longevity of infrastructure is to strategically deploy smart sensors in them. Therefore, the objective is to develop novel, durable, smart sensors that are especially applicable to major infrastructure and the facilities to validate their reliability and long-term functionality. In some cases, this implies the development of new sensing elements themselves, while in other cases involves innovative packaging and use of existing sensor technologies. In either case, a parallel focus will be the integration and networking of these smart sensing elements for reliable data acquisition, transmission, and fusion, within a decision-making framework targeting efficient management and maintenance of infrastructure systems. In this paper, prudent and viable sensor and health monitoring technologies have been developed and used in several large structural systems. Discussion will also include several practical bridge health monitoring applications including their design, construction, and operation of the systems.

• Nuclear Engineering and Technology
• /
• v.39 no.5
• /
• pp.655-662
• /
• 2007

Most decision makers in the electricity industry plan their electric power expansion program by considering only a least cost operation, even when circumstances change with differing complexities. It is necessary, however, to analyze a long-term power expansion plan from various points of view, such as environmental friendliness, benefit of a carbon reduction, and system reliability, as well as least cost operation. The objective and approach of this study is to analyze the proper role of nuclear power in a long-term expansion plan by comparing different scenarios in terms of the system cost changes, $CO_2$ emission reduction, and system reliability in relation to the Business-As-Usual (BAU). The conclusion of this paper makes it clear that the Korean government cannot but expand the nationwide nuclear power program, because an increased energy demand is inevitable and other energy resources will not provide an adequate solution from an economic and sustainability point of view. The results of this analysis will help the Korean government in its long-term resource planning of what kinds of role each electric resource can play in terms of a triangular dilemma involving economics, environmental friendliness, and a stable supply of electricity.

• Journal of Korean Society of Water and Wastewater
• /
• v.24 no.1
• /
• pp.63-72
• /
• 2010

This study aims to make a decision about the rational option for a multipurpose dams development of the Tumen river basin so that the adjoining countries will effectively deal with the chronic problems and fully satisfy the fast growing demand of water and power. It has been thus far investigated that the interests between North Korea and China closely depend on the selected option, and they are not well compatible with each other. These situations are defined in terms of the cooperative two-person nonzero-sum game. The Nash bargaining model is then applied to contemplate the rational option, considering two scenarios of economic growth of the North Korea. After analyzing the model, it was expected that 1) two multipurpose dams must be cooperatively developed, and 2) their benefits should be allocated according to demand of each country. The authors finally suggest that a cooperative organisation be established to effectively manage the dams beyond the border of the countries.