• 한국항해항만학회지
• /
• 제31권4호
• /
• pp.317-323
• /
• 2007

As economic trade between Korea and China has been encouraged with the rapid growth of Chinese economy and port competition in Northeast Asia, Korean government is trying to promote development and consolidation of ports to cope with the lack of facilities. Thus, many projects for port development have been propelled including the enactment the 'Private investment promotion law for social overhead capital 1994.' However, there are still some unsettled issues since considerable part of risk is still allocated to the Government when it has to support the private businesses in these port investments whenever unexpected problems arise. Allocation of risk among the participants - in this case especially - is a very subtle issue, however, it was revealed that not many precedent researches were done on the subject. In my previous research, I classified and analyzed 4 principle risks i.e, construction, management, financial and social risk. This research investigates the reasonable allocation of the risks among the participants using the Hierarchial Fuzzy Process. In the result of analysis, responsibility of private party is the most important and it must put the responsibility before Government' roll concerned. Also, this research displayed and proposed the direction of management method on port development in a view of minimizing risk and maximizing initiative of a private party.

• 한국문헌정보학회지
• /
• 제8권
• /
• pp.233-263
• /
• 1981

The purpose of this study is to bring out the most reasonable and feasible evaluation methods of research library collection in Korea. At the very outset, writer tried to define the purpose and the necessity of collection evaluation. Writer described a collection evaluation is to gain the data for decision making on selection policy, weeding and storage project, and explained it is one of the procedures of a collection development system operation of being explained as repeated three procedures through a collection development plan, an implimentation of the set plan(selection process) and a collection evaluation. Writer also pointed out the fact many libraries in Korea are apt to by pass or overlook this important process. Writer then defined the criteria of a collection evaluation as the measurement of the proportion of library holding's capability to meet users' demands and that of the degree of total collection's utilization. Writer introduced and analysed seven existing collection evaluation methods and concluded the method by a survey of users' needs and opinion and the method by a circulation survey are the most feasible and reasonable methods that can be applied. Writer also added that using above two evaluation methods together can enhance the effectiveness of collection evaluation.

• 한국건축시공학회지
• /
• 제12권2호
• /
• pp.169-182
• /
• 2012

In the past, a strategic management of work demands has been increasingly challenged to design-build (DB) firms. Such a management is capable of providing sufficient profitable impact of a project on them. Total project profit is mainly related to actual resources, work completion time, amount of rework, and costs. The degree of recycling work packages in the DB project delivery system is used as a measure of the quality of the performed work. However, there are few models available to evaluate the impact of a demand management strategy on the DB firms and to predict its behavior. We propose a decision-making support model as an aid for assessing the amount of rework and for predicting project profit resulting in a convincible demand management strategy. This model is constructed by using a dynamic feedback approach that can analyze the problems arising in complex managerial systems. For the purpose of illustration, widely acceptable strategies were applied into the model to explore their impacts on the DB firms. The results indicate that the model is helpful for the managers in selecting the most appropriate demand management strategy for successfully achieving their objectives.

• 한국멀티미디어학회논문지
• /
• 제19권8호
• /
• pp.1516-1529
• /
• 2016

While global manufacturing is becoming more competitive due to variety of customer demand, increase in production cost and uncertainty in resource availability, the future ability of manufacturing industries depends upon the implementation of Smart Factory. With the convergence of new information and communication technology, Smart Factory enables manufacturers to respond quickly to customer demand and minimize resource usage while maximizing productivity performance. This paper presents the development of a big data analytics platform architecture for Smart Factory. As this platform represents a conceptual software structure needed to implement data-driven decision-making mechanism in shop floors, it enables the creation and use of diagnosis, prediction and optimization models through the use of data analytics and big data. The completion of implementing the platform will help manufacturers: 1) acquire an advanced technology towards manufacturing intelligence, 2) implement a cost-effective analytics environment through the use of standardized data interfaces and open-source solutions, 3) obtain a technical reference for time-efficiently implementing an analytics modeling environment, and 4) eventually improve productivity performance in manufacturing systems. This paper also presents a technical architecture for big data infrastructure, which we are implementing, and a case study to demonstrate energy-predictive analytics in a machine tool system.

• Journal of Hospice and Palliative Care
• /
• 제24권4호
• /
• pp.254-260
• /
• 2021

Continuous deep sedation (CDS) is an extreme form of palliative sedation to relieve refractory symptoms at the end of life. In this study, we shared our experiences with CDS and examined the clinical characteristics associated with survival in patients with terminal cancer who received CDS. We conducted a chart audit of 106 consecutive patients with terminal cancer who received CDS at a single hospice care unit between January 2014 and December 2016. Survival was defined as the first day of admission to the date of death. The associations between clinical characteristics and survival were presented as hazard ratios and 95% confidence intervals using a Cox proportional hazard model. The mean age of participants was 65.2 years, and 33.0% (n=35) were women. Diazepam was the most commonly administered drug, and haloperidol or lorazepam were also used if needed. One sedative was enough for a majority of the patients. Stepwise multivariate analysis identified poor functioning, a high Palliative Prognostic Index score, hyperbilirubinemia, high serum ferritin levels, and a low number of sedatives as independent poor prognostic factors. Our experiences and findings are expected to be helpful for shared decision-making and further research on palliative sedation.

• 교육시설 논문지
• /
• 제25권3호
• /
• pp.3-12
• /
• 2018

This study was executed by means of "user participatory design method", as a part of the public facility remodelling project supervised by the Seoul Municipality. This study aimed to complement and improve the methodology through reviewing the whole process of participatory design implementation and examining closely whether the activities, design methods and tools that have been applied at each stage were helpful to reflect the users' demands successfully. Given all of those, it implies; first, it is very meaningful that public facility remodelling project by "user participatory design" leads the ordinary users to have direct opportunity to participate in the public business and to change their perception of the restroom environment in school. Second, it is necessary to integrate the roles of the facilitator and the architect from the beginning stage of the process, which makes it feasible to reflect the users' needs to the final stage. Third, it is required to modify the design tools that enable non-professional participants to understand their tasks and to perform them effectively at the stage of decision making.

• 복식
• /
• 제58권7호
• /
• pp.92-103
• /
• 2008

The purpose of this study was to subdivide the shoes market in Korea and to evaluate the size and competitive strength of each segment. In order to implement the purpose of this study, the data of 300 respondents were analyzed using CBC(Choice-Based Conjoint measurement) and mixture model. The part-worth utilities were then used to predict the impact of price change on the choice probability using the legit model. As a result, the mixture model showed the optimal segments number and the shoes market in Korea was divided into 4 segments. Each segment was identified by distinctive characteristics such as brands, price and demand for comfortable shoes. Also, as a result of grasping the competitive structure and the competitive strength by sub-markets, one group was sensitive to price according to each competitive situation, whereby the choice probability was greatly influenced, and the other group on the contrary. This study made it clear that discrimination between brands whose profits Increase sharply if price is lowered and brands whose profits do not increase even if price is lowered can help brand managers with their decision-making on price lowering.

• 경영과학
• /
• 제31권3호
• /
• pp.95-111
• /
• 2014

It is essential to carry out an economic analysis on public water supply projects so that policy makers and water enterprises are aware of the actual value of the project. However, many popular approaches based on discounted cash flow analysis do not capture the uncertainties inherent in cash flow. In order to analyze the economic values of the water supply project of local governments, we utilize real option model, which considers uncertainty in future water price behavior and captures the value of real life flexibility. The real option model is designed to incorporate the option to expand and abandon, and it is applied to a local government case. Furthermore, we assess the project by exploring Luehrman's option space to accommodate the more efficient decision making. The results show that substantial amount of potential value is included in the public water supply service, and the overall value is greater than the value obtained from the discounted cash flow model.

• 품질경영학회지
• /
• 제46권4호
• /
• pp.821-842
• /
• 2018

Purpose: To derive key requirements and key technologies for weapon system acquisition business by using Qualify Function Deployment (QFD), and to reduce business cost by setting the target performance and key expense of weapon system. Methods: We propose a QFD methodology that can induce rational decision-making by translating analyst's subjective opinions into quantitative values when analyzing requirements at the initial stage of weapon system development project. Based on QFD methodology, QFD application model combining house of quality, value engineering, and analogy cost estimating technique is presented. Results: It was possible to analyze the specific requirements necessary for the development of the weapon system, to solve the communication problem of the participants, to set clear development direction and target. Conclusion: By applying the QFD application model at the early stage of the weapon system acquisition project, it is possible to reduce the business cost by establishing clear development direction and goal through the procedural analysis process.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제15권3호
• /
• pp.974-992
• /
• 2021

Recently, the healthcare field has undergone rapid changes owing to the accumulation of health big data and the development of machine learning. Data mining research in the field of healthcare has different characteristics from those of other data analyses, such as the structural complexity of the medical data, requirement for medical expertise, and security of personal medical information. Various methods have been implemented to address these issues, including the machine learning model and cloud platform. However, the machine learning model presents the problem of opaque result interpretation, and the cloud platform requires more in-depth research on security and efficiency. To address these issues, this paper presents a recent technology for Internet-of-Things-based (IoT-based) health big data processing. We present a cloud-based IoT health platform and health big data processing technology that reduces the medical data management costs and enhances safety. We also present a data mining technology for health-risk prediction, which is the core of healthcare. Finally, we propose a study using explainable artificial intelligence that enhances the reliability and transparency of the decision-making system, which is called the black box model owing to its lack of transparency.