• Journal of Korea Water Resources Association
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• v.41 no.2
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• pp.127-135
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• 2008

The objective of sewer rehabilitation is to improve its function while eliminating inflow/infiltration (I/I) and insufficient carrying capacity (ICC). Such rehabilitation efforts, however, have not been particularly successful due to a lack of sewer data and unsystematic field practices. The present study aimed to solve these problems by developing a decision making model consisting of two models: the rehabilitation weighting model (RWM) and the rehabilitation priority model (RPM). In RWM, the I/I of each pipe in a drainage district is estimated according to various defects, with each defect given an individual weighting factor using an analytic hierarchy process (AHP). RPM determines the optimal rehabilitation priority (ORP) using a genetic algorithm (GA). The developed models can be used to overcome the problems associated with unsystematic practices and, in practice, as a decision making tool for urban sewer system rehabilitation.

• Journal of Auto-vehicle Safety Association
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• v.10 no.2
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• pp.50-55
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• 2018

Choosing automobile safety options is price-performance matter. The best fit options to buyer who has a certain driving habit are problem of MCDM (Multi Criteria Decision Making) because price of safety option, statistics of relating accident, consequence of accident, and driving habit are the multi criteria to be evaluated. In this paper, PROMETHEE-GAIA methodology is applied for solving this MCDM problem. The result shows that a different driving habit makes different choosing priority of safety options.

• Journal of the military operations research society of Korea
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• v.32 no.2
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• pp.212-222
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• 2006

The defense innovation 2020 advanced topics which have to establish robust milatary are based on archiving defense innovation by selecting twenty-one main topics and eighties' sub-topics whose topics focus on defense innovation and defense circumstance in 2020. Although defense innovation 2020 which is to be advanced with defense basic policy need to decision making, it is specified in programming step by merging budget with plan. If the Defense Ministry archives decision making from initial plan step, although it archives group decision making in programming step at present, it will archive efficient affair. This study archives a group decision making of defense innovation 2020 advanced topics which were published in the Defense Ministry by applying Analytic Hierarchy Process in plan step. In addition, if the weights of the main topics are equal, the sub topics analyze how to be changed throughout sensitivity analysis and suggest the topics' priority rank throughout group decision making.

• 한국신재생에너지학회:학술대회논문집
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• 2011.05a
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• pp.135.2-135.2
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• 2011

The goal of this study is the derivation of priority for business in the areas of green energy technologies. In this paper, we calculated the importance weights of impact factors using the AHP (Analytic Hierarchy Process) method in order to derivation of priority to the green energy technologies business. AHP is a useful method for evaluating multi-criteria decision making problems. To apply the AHP method, specialists for the assessment have been identified by using the concept of 'plan, do, see' and the decision-making hierarchy was established. We selected 5 criteria and 16 sub-criteria for impact factors by brainstorming. According to the result in this study, the most important impact factor is the possibility of commercialization, the second is the possibility of developing the fundamental technology, and the third is the possibility of convergence technology.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2000.04a
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• pp.122-125
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• 2000

The Analytic Hierarchy Process (AHP), a decision making model, which is more applicable than other methods to R&D project selection, particularly when it is applied to intangibles. The objective of this paper is to develop an extended model of the AHP which Is linked to Cross Impact Analysis to assist in the ranking of a large number of technological alternatives. In this study, we developed a priority setting algorithm which considers the cross-impact of the future technology alternatives and thus developed an integrated cross-impact hierarchical decision-making model, which sets the priority by considering technological forecasting and technology dependency

• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.6B
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• pp.551-563
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• 2011

Water resource projects need an enormous national budget. Therefore, a reasonable and reliable decision making is required for the planning of water resource projects, but decision making has been mostly performed by economic analysis. The objective of this study is to develop a Multi-criteria Decision Making(MCDM) model which can assess the project in various aspects for the selection of preferable alternative and determination of investment priority in water resource projects. In this study, the criteria involves economic feasibility, policies, vulnerability, and sub-items which have weights obtained from the expert survey for the consistent evaluation. We also derived the utility function considering risk trend of each item based on the expert survey. Then, the total score was estimated by weights of each item and utility score of each attribute. The results show that vulnerability is a major contributor for the criteria. This study will contribute to the selection of proper water resource projects considering efficiency of project and fairness for vulnerable area.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2006.05a
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• pp.119-120
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• 2006

Prioritizing the design specifications among many alternatives is necessary at the stage of concept design. Design specifications have trade-offs between cost and performance, and the relationships among them, in the standpoint of various functional requirements, are complex. AHP(Analytic Hierarchy Process) method is one of the most popular ways of solving the priority setting problem. However, it is impossible to monitor the interim findings in the middle of the process, it is hard to predict the difference when changing pairwise comparison conditions, and the operation done by one person makes it hard to share the process simultaneously. This paper shows a new method of priority setting in this kind of decision making problem. This method is designed to support the realtime priority setting among many design specifications with regards to many functional requirements. A new algorithm and visualization methods are introduced, and the usability is verified in an exemplary concept design stage.

• Journal of Electrical Engineering and Technology
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• v.4 no.1
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• pp.43-48
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• 2009

The purpose of the this paper is to make decision of the maintenance priority of power distribution system using Time-Varying Failure Rate(TVFR) with interruption cost. This paper emphasizes the practical use of the reliability indices and interruption cost. To make a decision of maintenance priority on power distribution system equipment, the quantification of the reliability level should be represented as a cost. In this paper, the TVFR of power distribution system equipment applied in this paper utilizes analytic method to use the historical data of KEPCO. From this result, the sensitivity analysis on TVFR of equipment was done for the priority, which represents that high priority of the equipment has more effect on system reliability, such as SAIDI or SAIFI, than other equipment. By this priority, the investment plan is established. In this result, customer interruption cost(CIC) could be extracted, and CIC is used as weighting factor to consider a importance of customer. After that, the result calculated the proposal method in this paper is compared with other priority method, such as lifetime, failure rate or only sensitivity.

• Journal of Korean Society of Water and Wastewater
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• v.29 no.1
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• pp.123-131
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• 2015

A CCTV inspection method has been widely used to assess sewer condition and performance, but Korea lacks a proper decision support system for prioritizing sewer repair and rehabilitation (R&R). The objective of this paper is to introduce the results that we have developed in the Sewer Condition Assessment and Rehabilitation Decision-making (SCARD) Program using MS-EXCEL. The SCARD-Program is based on a standardized defect score for sewer structural and hydraulic assessment. Priorities are ranked based on risk scores, which are calculated by multiplying the sewer severity scores by the environmental impacts. This program is composed of three parts, which are decision-making for sewer condition and performance assessment, decision-making for sewer R&R priority assessment, and decision-making for optimal budget allocation. The SCARD-Program is useful for decision-makers, as it enables them to assess the sewer condition and to prioritize sewer R&R within the limited annual budget. In the future, this program logic will applied to the GIS-based sewer asset management system in local governments.

• Journal of Information Technology Services
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• v.20 no.4
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• pp.35-52
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• 2021

Nowadays data-based decision making is emerging as the center of the business environment paradigm, but many companies do not have data-driven decision-making systems. It has also been studied that using an expert's intuition in decision making can be more efficient in terms of speed and cost, compared to analytical decision making. The goal of this study is to analyze customer churn factors using a group of experts within a financial company from the viewpoint of decision-making efficiency. We applied a debit card 'A', product of the National Credit Union Federation of Korea. The churn factors of all the financial expert groups were examined. Also. the difference in each group (management support, card recruitment, customer service group) was analyzed. We expect that this study will be helpful in the practical aspects of managers whose environments is lack data-oriented infrastructure and culture.