• 한국산업정보학회:학술대회논문집
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• 한국산업정보학회 1998년도 춘계공동학술대회 발표논문집 IMF시대의정보화 추진전략
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• pp.169-176
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• 1998

This article investigates the software acquisition problems as two dimensional : custom/pacakage and insource /outsource. The analysis adopts the cost-benefit frame work in explaining software acquisition problems and takes two leveled approach. The first level examines the cost-benefit relationship of the determinants affecting both dimensions, and these determinants are derived from theories of transaction cost, incomplete contracting, and agency. The second level focuses on the impact of general cost-benefit frivers of the software acquisition decisions. The results facilitate a broader and more detailed understanding on the software acquisition problems.

• 한국산학기술학회논문지
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• 제17권9호
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• pp.533-542
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• 2016

교량의 유지관리 비용은 교량 건설 후 주기적으로 발생하게 되며 교량의 상태, 환경 조건 등 여러 요인들이 복합적으로 고려되어야 한다. 개축은 유지관리 단계에서 발생하는 조치 중 가장 최종적이며 대규모 비용이 투입되는 조치로서 교량 유지관리 의사 결정 지원을 위해서는 기본적인 개축 비용 산정 모델의 수립이 필수적이다. 본 연구에서는 교량의 개축 비용 산정을 위한 회귀 모델을 개발하였다. 이를 위해 교량관리시스템(Bridge Management System) 데이터베이스(database) 상의 교량 기본 제원을 분석하여 교량 형식별, 구성 요소별 대표 표본과 주요 영향 인자들을 정의하였다. 각 표본별 비용 산정변수를 고려하여 내역 작업을 수행하였다. 비용 산정 변수에 따른 대표 표본의 적산 결과를 회귀분석하여 상부구조, 하부구조, 기초 등의 신설 비용과 가교 설치 비용, 해체 폐기 비용에 대한 비용 모델을 도출하였다. 개발된 비용 모델을 활용하여 공용 중인 교량 형식별 개축 비용을 도출하고 단가를 산출하여 기존 문헌과의 비교 검토를 수행하였으며, 유지관리 의사결정에 효과적으로 활용될 것으로 기대된다.

• 아태비즈니스연구
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• 제6권2호
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• pp.1-17
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• 2015

This study compares the most widely used parametric and non-parametric techniques to measure cost and profit efficiency of banks, namely the Stochastic Frontier Analysis (SFA) and Data Envelopment Analysis (DEA). We formulate the specification form of both stochastic cost and profit frontier models and constant return to scale Cost DEA and Profit DEA models and provide an empirical assessment of the cost and profit frontiers based on a panel dataset of National Commercial Banks (NCBs) and Private Banks (PBs) in Bangladesh over the 2001-2010 period. The cost inefficiency and profit efficiency are slightly higher for PBs than NCBs in case of both SFA and DEA. The coefficients of advance and off-balance sheet items are significant that positively influence the banks in stochastic cost frontier model while the advance, other earning assets, price of borrowed fund are significant and negative effects on the banks in stochastic profit frontier model. The average cost inefficiency and average profit efficiency are recorded with 16.3% and 91% respectively. The highest and lowest cost inefficiency are observed for Janata Bank and United Commercial Bank Limited whilst the highest and lowest profit efficiency are recorded for Eastern Bank Limited and Janata Bank respectively. The average technical and allocative efficiency are 68.8% and 35.9%, respectively in case of CRS cost-DEA model whereas they are 70.3% and 31.8% in case of CRS profit-DEA model. The average cost inefficiency is recorded 6.3% by SFA whereas it is 24.5% by DEA. The average profit efficiency is found 91% by SFA while it is 22.1% by DEA, and SFA method shows better bank efficiency than DEA.

• KIEAE Journal
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• 제16권1호
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• pp.47-55
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• 2016

Purpose: Long-life housing causes unavoidable cost increase while providing higher durability, flexibility, and repair easiness compare to those of normal apartment. The effectiveness should be evaluated considering the level of passing mandatory Long-life housing Certification System when supplying specific size of apartment complex. Thus, it is essential to identify the estimated costs and the obtainable grade by applying the optional element technologies selectively during the design phase. This study aimed to suggest the technology influence matrix(TIM) to support decision-making of element technologies in planning stage of long-life housing. Method: The technology influence matrix was established based on the property information about applicable element technologies for long-life housing such as construction methods, interface types, cost data, and certification-related characteristics. The usefulness of TIM was verified through case study, in which TIM was applied to the exclusive housing unit and the influences from four areas of quantity, cost, certification, and schedule were identified and calculated. Result: TIMs covering four areas representing the essential planning factors were developed, and are expected to contribute to sound decision-making in planning long-life housing.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2003년도 춘계학술대회 논문집
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• pp.5-8
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• 2003

This paper presents a methodology to be able to select an appropriate RP system that suits the end use of a part. Evaluation factors used in process selection include major attributes such as accuracy, roughness, strength, elongation, part cost and build time that greatly affect the performance of RP systems. Crisp values such as accuracy and surface roughness are obtained with a new test part developed. The test part is designed with conjoint analysis to reflect users' preference. The part cost and build time that have approximate ranges due to cost and many variable parameters are presented by linguistic values that can be described with triangular fuzzy numbers. Based on the evaluation values obtained, an appropriate RP process for a specific part application is selected by using the modified TOPSIS(Technique of Order Preference by Similarity to Ideal Solution) method. It uses crisp data as well as linguistic variables, and each weight on the alternatives is assigned by using pair-wise comparison matrix. The ranking order helps the decision making of the selection of RP systems.

• 한국항해항만학회지
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• 제31권9호
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• pp.801-806
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• 2007

The analytical hierarchy process (AHP) enables decision makers to represent the interaction of multiple factors in complex and unstructured situations. The process requires the decision maker to develop a hierarchical structure of the factors in the given problem and to provide judgments about the relative importance of each of these factors and ultimately to specify a preference for each decision alternative with respect to each factor. The research presented in this paper applies the AHP to identify key players in promoting port competitiveness. The literature survey revealed four major criteria and 15 sub-criteria. The four factors are cost, service quality, facility/capacity and economic-social variable. 150 questionnaires suitable for AHP analysis were made and 77 were returned. It is found that in terms of cost, the first key player is terminal operator and the second key player is shipping companies calling Busan port; in terms of service quality, the first key player is terminal operator, and the second key player is shipping companies calling Busan port; in terms of facility/capacity, the first key player is port authority and the second key player is terminal operator; in terms of economic-social variable, the first key player is terminal operator, and the second key player is shipping companies calling Busan port.

• Journal of Information Processing Systems
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• 제17권3호
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• pp.615-629
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• 2021

With the development of mobile edge computing, how to utilize the computing power of edge computing to effectively and efficiently offload data and to compute offloading is of great research value. This paper studies the computation offloading problem of multi-user and multi-server in mobile edge computing. Firstly, in order to minimize system energy consumption, the problem is modeled by considering the joint optimization of the offloading strategy and the wireless and computing resource allocation in a multi-user and multi-server scenario. Additionally, this paper explores the computation offloading scheme to optimize the overall cost. As the centralized optimization method is an NP problem, the game method is used to achieve effective computation offloading in a distributed manner. The decision problem of distributed computation offloading between the mobile equipment is modeled as a multi-user computation offloading game. There is a Nash equilibrium in this game, and it can be achieved by a limited number of iterations. Then, we propose a distributed computation offloading algorithm, which first calculates offloading weights, and then distributedly iterates by the time slot to update the computation offloading decision. Finally, the algorithm is verified by simulation experiments. Simulation results show that our proposed algorithm can achieve the balance by a limited number of iterations. At the same time, the algorithm outperforms several other advanced computation offloading algorithms in terms of the number of users and overall overheads for beneficial decision-making.

• 한국산학기술학회논문지
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• 제19권9호
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• pp.100-107
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• 2018

본 연구는 기업의 국제다각화가 하방경직적인 원가행태에 미치는 영향을 실증적으로 분석하였다. 기업의 활동수준을 나타내는 척도로서 매출액이 증가할 때의 원가증가율보다 매출액이 감소할 때의 원가감소율이 낮게 나타나는 원가행태를 하방경직적인 원가행태라고 부른다. 이러한 원가행태는 경영자의 조정비용을 고려한 의사결정으로 인해 발생하는데 국제다각화 기업의 경우, 발생액 상쇄가설에 따라 경영자의 조정비용에 대한 재량적 의사결정 판단개입이 줄어들 것이라고 판단하였다. 실증분석 결과, 국제다각화 기업이 그렇지 않은 기업보다 원가의 하방경직성이 완화되었음이 관찰되었다. 본 연구는 기업의 국제다각화가 경영자의 원가에 관련된 의사결정에 유의한 영향을 줄 수 있는 가를 검증함으로서 자본시장과 학계에 공헌할 것으로 기대된다.

• 한국건축시공학회지
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• 제8권2호
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• pp.53-61
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• 2008

It is expected that the market of residential facility for retired seniors will be a new investment field for construction firms. This study describes the questionnaire survey analysis results of potential customers' demand for the facility. For comparison purpose, direct construction cost was estimated by estimation experts. In addition, a case analysis was conducted to compare direct cost and indirect project cost with the experts' estimation. According to the questionnaire survey analysis, it is observed that there were significant differences in demand between groups which are classified by the regions, living expenditures, the level of property ownership and the scales of residence. From an investor's perspective, investment decision on residential facility for retired seniors should be made considering bothe the level of returns which can be generated from the investment and the customers' needs.

• 산업경영시스템학회지
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• 제9권13호
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• pp.29-32
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• 1986

A decision procedure to determine when computer software should be released after testing is described. This paper extends optimum release policies minimizing the total expected software cost with a scheduled software delivery time under reliability requirement constraint. Such cost considerations enable us to make a release decision as to when transfer a software system from testing phase to operational phase. The underlying model is software reliability growth model described by a nonhomogeneous poisson process. It is assumed that the penalty cost function due to delay for a scheduled software delivery time is linearly proportional to time. Numerical examples are shown to illustrate the results.