• 대한산업공학회지
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• 제33권3호
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• pp.290-302
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• 2007

This paper introduces several decision-making problems that need to be solved in order to facilitate the efficient operation of container terminals. These decision-making problems include the berth planning problem, the quay crane scheduling problem, the unload/load sequencing problem, the yard allocation problem, and the short-term scheduling of transporters and yard cranes. These problems can be classified into strategic decision problems, tactical decision problems, and real time operational decision problems. This paper proposes definitions of the problems that can be used to develop mathematical models for the problems.

• 간호행정학회지
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• 제5권1호
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• pp.99-111
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• 1999

The purpose of this study was to investigate the relationship between public health nurse's decentralization, participation of decision-making and organizational commitment and to provide basic data for the improvement of public health nurse's organizational effectiveness. Data were collected from Aug. 1 to Aug. 30, 1998 (collection rate-96%) through questionnaires by 163 public health nurses working in Taejon and Chungnam. The instruments were used Van de Ven and Ferry's Job Authority scale, Hage and Aiken's Hierarchy of Authority scale. Participation of Decision-making scale. and Mowday's Organizational Commitment Questionnaires. Collected data were analyzed by SPSS PC+. The results were as follows 1. There were significant differences of age(P<.05), career, spending time for major study, and experience who called expert(P<.01) to decentralization. 2. There were significant differences of career (P<.05), educational level, and spending time for major study(P<'OOl) to participation of decision-making. 3. There were significant differences of career. spending time for D1ajor study, self-evaluation to specialty(P<.01) and experience who called expert (P<.001) to organizational commitment. 4. 1) A significant correlation was found between decentralization and self-evaluation to specialty (P<.05), age, career, spending time for major study, and experience who called expert (P<.01.). 2) A significant correlation was found between participation of decision-making and self-eval-uation to specialty(P<.05), age, career, spending time for major study, experience to call expert, and decentralization (P<.01). 3) A significant correlation was found between organizational commitment and age(P<.05). career. spending time for major study, self-eval-uation to specialty, experience who called expert. decentralization, and participation of decision-making (P<.01). 5. Decentralization w·as the best predictor of or ganizational commitment(17%), also experience who called expert, self-evaluation to specialty explained the organizational commitment.

• Journal of Ginseng Research
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• 제20권1호
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• pp.65-71
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• 1996

This study was undertaken to evaluate the automatic decision-making on the grading of 6-year-old fresh ginseng (Panax ginseng C.A. Meyer) by an image analyzer. The best input method for the 6-year-old fresh ginseng was under condition of a low resolution (128u 128 pixel) and illumination direction from bottom to up (light box). It was possible to identify the main root, lateral root, and rhizome of fresh ginseng by application of OPEN process in a function of an image analyzer. Finally, we developed the grade decision-making programs, GinP-1. The fitness rates for the fresh ginseng standards which were classified by experts were 94.6, 80.6, 81.5, and 100.0% for 1st, 2nd, 3rd, and 4th grade of fresh ginseng, respectively, and the total time of decision-making was about 4.3 seconds per one root. The decision-making time was reduced to 0.8 seconds per one root by enhancemeat of the Image analyzer, which was tested by the technical company of the image analyzer,'Carl Zeiss (Germany). As a result of this study, the automatic decision-making on the grade of fresh gin send by image analyzer seems to have high possibility.

• Toxicological Research
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• 제32권4호
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• pp.275-280
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• 2016

Prenatal nicotine exposure over an entire pregnancy has been associated with an increased prevalence of hyperactivity, anxiety-like behavior and depression-like behavior in mature rats. However, the effects of maternal nicotine exposure in late gestation and lactation on the psychology and behavior of adolescent rat offspring are unclear. Thus, we investigated the effect of nicotine exposure during late gestation and lactation on anxiety-like and impulsive decision-making behavior in adolescent offspring of rat. Female rats were orally exposed to nicotine which is within range of plasma level of human chronic smokers during the period of third last period of gestation and lactation. When the offspring were weaned, we observed alterations in the anxiety-like behavior and decision-making ability of adolescent rat offspring using light/dark box test and T-maze delay-based cost-benefit decision-making task. The maternal consumption of nicotine reduced both the time spent in the light compartment and the number of transitions compared to nicotine-free rats. Moreover, such nicotine exposed adolescent offspring rats showed impulsive decision making which chose the instant reward in a decision-making situation. We found that nicotine exposure during late gestation and lactation induces an increase in anxiety-like and impulsive decision-making behavior at this developmental stage. These findings suggest that maternal nicotine-exposed offspring are at an increased risk of developing anxious and impulsive behavior.

• 한국건설관리학회:학술대회논문집
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• 한국건설관리학회 2004년도 제5회 정기학술발표대회 논문집
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• pp.515-520
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• 2004

최근 건설산업은 구조물의 일부 또는 전체를 대상으로 제조업의 체계적인 생산시스템인 공장생산방식을 활용하여 생산성을 향상시키기 위한 방안을 마련하고 있다. 하지만 효과를 검증하지 않고 무조건적으로 공장생산방식을 도입한다면 생산 규모와 위치에 따라 현장생산보다 공사비용이나 공기가 증가되는 경우도 있다. 공장생산방식을 보다 효과적으로 활용하기 위해서는 공장생산방식과 현장생산방식을 다양한 기준으로 비교해본 후 적용여부에 대한 의사결정이 이루어져야한다. 본 연구는 기존의 연구와 사례분석을 통하여 공장생산방식의 적용에 필요한 의사결정요인을 도출하고 이를 고려한 의사결정모델을 제시하고자한다 크게 3단계의 연구방법을 거쳐 의사결정을 내릴 수 있는 의사결정순서도와 의사결정모형도를 작성하였다. (1) 공장생산방식 적용 의사결정요인을 도출하고 구조화하여 (2) 공장생산의 규모와 공장의 위치의 변화에 따른 이익, 비용, 공기를 산출한 후 (3) 현장생산방식과 공장생산방식을 반복적으로 비교함으로써 의사결정을 내릴 수 있는 모델을 제시하였다.

• 한국항해학회지
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• 제19권1호
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• pp.33-48
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• 1995

In the process of containerization, the problem of regional maldistribution of container management plan arises seriously due to several factors like a number of unbalances of containers between loading and discharging ports. This study focus on the minimizing cost. This study is composed of two models which in effective management decision making show decision of the number of containers and transfer of empty containers. One is decision of the number of containers which carriers should possess by appropriate forecasting and the other is effective management decision making which includes the transfer of empty containers on calling ports. This study has suggested as follows, First, the Time Series analysis method, especially the "Exponential Smooting with Trend Adjustment" was used to forecast the trade volumes for the designated traffic route. Second, the Time Series analysis method in deciding the optimal number of owned container at the unbalances trade situation between East Bound and West Bound service, most important variables were found such as total traffic volume, the calling interval at a port, the number of days of voyage and the length of stay on shore of container for the optimal number of owned container. Third, effective management decision making model, which makes it possible to analyze the impacts of change in important matters such as lease and positioning policy, and actually influence decision making.on making.

• 한국국방경영분석학회지
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• 제24권1호
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• pp.18-40
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• 1998

This paper is aimed to design an intelligent military decision aiding system in a network computing environment, especially focusing on designing an intelligent analytic system that has data mining tools and inference engine. Through this study, we concluded that the intelligent analytic system can aid military decision making processes. Highlights of the proposed system are as follows : 1) Decision making time can be reduced by the On-line and Real-time analysis ; 2) Intelligent analysis on military decision problems in network computing environments in enabled; 3) The WWW-based implementation models, which provide a standard user interface with seamless information sharing and integration capability and knowledge repository.

• Journal of Construction Engineering and Project Management
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• 제7권2호
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• pp.19-33
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• 2017

Various forms of procurement are open to companies when constructing new owner-occupied properties. The selection of a form of procurement is an important decision-making problem for companies and their Corporate Real Estate Management (CREM) departments. With this in mind, a decision support tool has been developed to optimise the outcome and success of company's proposed real estate development projects and is presented in this paper. This model can also be used for current real estate portfolios to optimise returns in the long term. In pursuit of this objective and in order to provide an academic basis for this study, decision-relevant goals and parameters were initially identified from the referenced literature used in our research. These were subsequently evaluated in a case study of a corporate development project and identified as specific decision criteria from the perspective of the CREM. The investigation identified 15 criteria that are relevant to the corporate decision-making process in procuring and/or developing property. A model for supporting and resolving decision-making problems of this type was derived from decision theory. In this paper, a decision-making tool is presented that takes into account all the decision criteria from the CREM point of view for the first time. This model should therefore serve as an aid in implementing the decision-making process for the development of real estate projects in a more structured and transparent manner.

• 한국경영과학회지
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• 제24권4호
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• pp.13-26
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• 1999

When we try to design a production planning system for a manufacturing company, it is a time consuming task to analyze various planning activities and identify inter-relationship among a lot of decisions made for the production planning. Most of the research efforts have been concentrated to well-organized independent decision-making problems that may usually be identified only after analyzing the characteristics of the decision-making process as a whole. In this paper, a methodology is suggested to characterize the whole process of the production planning for a manufacturing company and reduce the complexity of decision-making problems. The methodology is based on an experience of developing a production planning software for an automobile component manufacturer in korea. First, it is explained how to identify and represent the dependency among various decision-making variables. And a methodology is proposed to analyze the identified dependency among decision variables and identify decision-making process. Lastly, a practical example is provided to illustrate the analysis procedure in this paper.

• Journal of Electrical Engineering and Technology
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• 제9권3호
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• pp.803-811
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• 2014

The moment when Electrical Vehicle (EV) starts charging or discharging is one of the most important parameters in estimating the impact of EV load on the grid. In this paper, a decision-making problem of determining the start time of charging and discharging during allowed period is proposed and studied under the uncertainty of real-time price. Prospect theory is utilized in the decision-making problem of this paper for it describes a kind of decision making behaviors under uncertainty. The case study uses the parameters of Springo SGM7001EV and adopts the historical realtime locational marginal pricing (LMP) data of PJM market for scenario reduction. Prospect values are calculated for every possible start time in the allowed charging or discharging period. By comparing the calculated prospect values, the optimal decisions are obtained accordingly and the results are compared with those based on Expected Utility Theory. Results show that with different initial State-of-Charge ($SoC_0$) and different reference points, the optimal start time of charging can be the one between 12 a.m. to 3 a.m. and optimal discharging starts at 2 p.m. or 3p.m. Moreover, the decision results of Prospect Theory may differ from that of the Expected Utility Theory with the reference points changing.