• 통상정보연구
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• 제17권2호
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• pp.95-120
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• 2015

본 연구는 기존 연구들과 차별화하기 위해 소비자들의 의사결정과정단계에 기반을 둔 AIF모형(Awareness-Interest-Final Decision)을 개발하였다. 본 연구모형은 구매의사결정 내리기까지 소비자의 심리변화와 내면적 의사결정과정이 다단계적으로 이루어지고 있다는데 착안하여 구매의사결정을 내리기까지 어떤 단계를 거치는지 파악하고, 각 구매단계별 영향요인을 순서적으로 분석할 필요가 있다는데 초점을 두고 있다. 즉, 소비자의 의료기관 선택행위를 다단계로 파악하고 단계별 결정요인을 분석하였다. 이러한 관점에서 본 연구는 첫 번째 단계인 인식단계에서는 의료기관의 브랜드 인지도가 중요하며, 둘째, 관심단계에서는 의료기관의 서비스 스케이프와 서비스 품질이 중요하다고 보고 있다. 셋째, 최종결정단계에서는 가격대비 효능측면에서 소비자의 지각가치가 중요하다고 보고 있다. 결과적으로 AIF모형에서 제시한 네 가지 요인(브랜드 인지도, 서비스 스케이프, 서비스품질, 지각가치)을 고객충성도에 영향을 주는 요인으로 보고, 116명의 중국인을 대상으로 실증분석하였다. 공분산구조모형을 통한 실증분석 결과 브랜드인지도와 지각가치가 고객충성도에 유의한 결과가 나타났다.

• 한국산학기술학회논문지
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• 제19권4호
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• pp.317-328
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• 2018

본 연구에서는 창극공연의 서비스 품질이 공연경험속성 및 관객만족에 미치는 영향을 검증하고, 이 과정에서 서비스 가치 및 전통이미지의 매개효과를 검증하였다. 본 연구의 대상은 서울 지역에서 10월 중 공연된 창극공연을 유료관람한 성인 남녀 211명으로서, 수집된 자료를 이용하여 공분산구조분석을 통해 얻은 경로계수로 모형과 가설 검정을 실시하였다. 검증결과, 관객이 지각하는 창극공연 서비스품질의 공연프로그램 품질, 물리적환경 품질, 상호작용 품질은 공연경험속성에 각각 통계학적으로 유의하게 정(+)의 관계를 보였다. 공연경험속성과 서비스가치, 공연경험속성과 전통이미지 간의 경로계수도 각각 통계학적으로 유의하게 정(+)의 관계를 보였다. 그리고 공연경험속성과 관객만족 간의 경로계수는 정(+)의 관계를 보였고, 서비스가치와 전통이미지, 서비스가치와 관객만족, 전통이미지와 관객만족 간의 경로계수도 각각 통계학적으로 유의하게 정(+)의 관계를 보였다. 결국 본 연구의 모든 가설은 채택되었으며, 본 연구의 결과는 창극공연의 대중화와 현대화, 공연예술산업 차원의 마케팅전략에 있어서, 그 공연 서비스 품질과 경험속성을 반영하여, 관객의 만족에 미치는 영향을 확인하고, 이 과정에서 서비스 가치와 전통이미지의 역할 및 작용을 검증하였다는데 의의가 있다.

• 한국건설관리학회논문집
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• 제10권3호
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• pp.13-21
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• 2009

설계VE수행 시 아이디어 창출을 할 경우 브레인스토밍의 특성상 산발적으로 아이디어를 제안하게 된다. 이 과정에서 유사 아이디어를 중복적으로 제안할 수 있으며, 중복적으로 창출된 유사 아이디어는 각각 다른 평가 및 분석으로 이어지게 된다. 이렇게 창출된 유사 아이디어는 효율적인 분석/평가가 쉽지 않으며, 아이디어의 타당성 및 객관성을 검증하기가 어렵게 된다. 이로 인하여 많은 시간을 소비할 뿐만 아니라 객관적인 평가가 어려워지게 된다. 아이디어 창출을 하기 위한 준비단계를 완벽하게 수행 하였으나, 실질적인 VE활동에서는 아이디어 창출 및 관리가 어려운 실정이다. 이에 본 연구는 아이디어를 보다 효과적으로 창출하고자 설계VE활동의 효과적인 아이디어 창출 및 관리를 위한 프로세스 모델을 제시한다.

• 제어로봇시스템학회논문지
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• 제15권5호
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• pp.555-561
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• 2009

The established mathematical modeling methods have limitation to know the hydraulic characteristics at the wastewater treatment plant which are complex and nonlinear systems. So, an artificial neural network (ANN) model based on hydraulic characteristics is applied for modeling wastewater quality of a full-scale wastewater treatment plant using DNR (Daewoo nutrient removal) process. ANN was trained using data which are influents (TSS, BOD, COD, TN, TP) and effluents (COD, TN, TP) components in a year, and predicted the effluent results based on the training. To raise the efficiency of prediction, inputs of ANN are added the influent and effluent information that are in yesterday and the day before yesterday. The results of training data tend to have high accuracy between real value and predicted value, but test data tend to have lower accuracy. However, the more hydraulic characteristics are considered, the results become more accuracy.

• 품질경영학회지
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• 제26권3호
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• pp.71-81
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• 1998

In reliability analysis, the time difference between the expected next failure time and the current failure time or the Mean Time Between Failure(MTBF) is of significant interest. Until recently, in reliability growth studies, the reciprocal of the intensity function at current failure time has been used as being equal to MTBE($t_n$)at the n-th failure time $t_n$. That is MTBF($t_n$)=l/$\lambda (t_n)$. However, such a relationship is only true for Homogeneous Poisson Process(HPP). Tsokos(1995) obtained the upper bound and lower bound for the MTBF($t_n$) and proposed an estimator for the MTBF($t_n$) as the mean of the two bounds. In this paper, we provide the estimator for the MTBF($t_n$) which does not depend on the value of the shape parameter. The result of the Monte Carlo simulation shows that the proposed estimator has better efficiency than Tsokos's estimator.

• 품질경영학회지
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• 제39권4호
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• pp.480-485
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• 2011

This paper presents a spare ordering policy for preventive replacement with minimal repair. To analyze the ordering policy, the failure process is modeled by a non-homogeneous Poisson process. Introducing the ordering, repair, downtime, replacement costs and salvage value, we derive the expected cost effectiveness as a criterion of optimality when the lifetime and lead times for the regular and expedited orders are generally distributed random variables. It is shown that, under certain conditions, there exists a finite and unique optimum ordering time which maximizes the expected cost effectiveness. A numerical example is also included to explain the proposed model.

• 산업공학
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• 제16권spc호
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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.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2007년도 학술발표회 논문집
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• pp.652-656
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• 2007

The major streams in South Korea have established the TMDL(Total Maximum Daily Loads) regulation for just 4 years. Traditional concepts in water quality management in South Korea are based upon the selection of a design streram flow which is 10-year averged flow exeedance probability 75%(Q275). That is, a single flow value based upon average long term flow conditions is chosen for application in dilution calculations, permit design, water quality modeling, etc. While these TMDLs seems to satisfy the requirement of the target water quality regulations, they have contributed little to any watershed/waterbody assessment and restoration plans. These types of TMDLs do little to characterize the problems the TMDLs are intended to address. For TMDLs to be more beneficial in the assessment and implementation process, TMDLs should reflect adequate water quality across flow conditions rather than at a single flow value such as average daily flow. In this paper, we developed LDC (load duration curve) methodology for theevaluation of Korean TMDL evaluation based on watershed scaled, physically based on SWAT(Soil and Water Assessment Tool) model.

• 품질경영학회지
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• 제21권1호
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• pp.181-189
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• 1993

Over the past two decades, forecasting has gained widespread acceptance as an integral part of business planning and decision making. Accurate forecasting is a prerequisite to successful planning. Accordingly, recent advances in forecasting techniques are of exceptional value to corporate planners. But most of forecasting mothods are reveal its limit and problem for precision and reliability duing to each relationship for raw data and possibility of explanation for each variable. Therefore, to construct the Integrated Forecasting Model(IFM) for Information Factor Analysis, it shoud be considered that whether law data has time lag and variables are explained. For this. following several method can be used : Least Square Method, Markov Process, Fibonacci series, Auto-Correlation, Cross-Correlation, Serial Correlation and Random Walk Theory. Thus, the unified property of these several functions scales the safety and growth of the system which may be varied time-to-time.

• 한국국방경영분석학회지
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• 제25권1호
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• pp.142-159
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• 1999

To assign the soldiers in the adequate positions I military is almost as important as managing officers because they compose the main part of military structure and equipment operators. The current Military Occupational Specialty(MOS) assignment system lacks the capability to optimize the use of recruit's potential. We suggest an MOS assignment method for enlisted recruits using the Analytic Hierarchy Process(AHP) method, this method systematically provides a method of calculation of composite relative weights of decision elements to be considered during MOS assignment and a method of quantification for personal quality of new recruits. The quantified value of personal quality, Mission Performance Capability(MPC), in this study means the mission performance capability when a personnel is assigned to a certain MOS. This paper develops a multiple objectives MOS assignment model for enlisted recruits. It uses MPC of personnels, calculated with AHP method and consensus method, as parameters. The goal constraints are assurance of filling requirement, minimization of the number of unassigned personnel to MOS, capability satisfaction of education facility and support facility, assurance of desired MPC value level for MOS assignment, and maximization of total MPC. The objective function is to terminalization of the negative or positive deviation for the above goal constraints.