• Journal of the Korea Safety Management & Science
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• v.4 no.3
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• pp.141-156
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• 2002

This article deals with the multiple alternative proposal of Venture Business policy. when Decision makers meet a very complex and important business to take a good choice. It might not be easy that we make a decision and accept the decision as an exact result of analysis at a complication and uncertain situation. This is the reason why the original research use Statistical Survey method and Visual Decision Making Process(VDMP) to improve decision analysis method. Therefore, Our research suggests that the VDMP utilized in the strategic decision making situation as a group decision adding tool, can be applied in the development of a process vision and implementation plan. as a result, researcher describe step by step the process of VDMP

• Korean Journal of Social Welfare
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• v.62 no.2
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• pp.279-306
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• 2010

This study is to compare and analyze the policy decision process between Korea Long-term Care Insurance and Japan's using policy network theory as an analysis tool, and to lead political and theoretical implications. The result of the study is summarized as follows. First, a policy agenda about Long-term Care problem for the Elderly set up by the government-leading both Korea and Japan. and the number of policy participation(actors) increased to characteristics of policy process stage. but there is a difference between Korea and Japan in a background of setting up policy agenda about Long-term Care problem. Second, interaction among policy actors is corporative from early policy agenda establishment stage in Korea and Japan. but it changes to dissenting or critical rapidly as being announced the frame of system to the people. Also, it shows that main policy actors play a role in policy making decision and the connection structures of network is similar to both countries although it has a difference in the interaction frequency. Fourth, although the number of policy actors and the extent of their opinion reflection to the policy effect are different, it shows that policy network pattern is very similar to from policy agenda setting stage to parliament(The National Assemble) policy decision stage as a result of government-leading policy process. The theoretical and political implications of this study are as follows. The number and the variety of policy participation, the importance of establishing opened-interaction system, lots of limitation of policy making-decision process of Japan Long-term Care system, and exclusively the government-leading network has demerits about the reflection of too much government's opinion to the policy outcomes.

• Journal of the Korean Operations Research and Management Science Society
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• v.27 no.2
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• pp.33-49
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• 2002

CBM (Condition-Based Maintenance) has increasingly drawn attention in industry because of its many benefits. CBM Problem Is characterized as a state-dependent scheduling model that demands simultaneous maintenance actions, each for an attribute that influences on machine condition. This problem is very hard to solve within conventional Markov decision process framework. In this paper, we present an intelligent machine maintenance scheduler, for which a new incremental decision tree learning method as evolutionary system identification model and shortest path problem as schedule generation model are developed. Although our approach does not guarantee an optimal scheduling policy in mathematical viewpoint, we verified through simulation based experiment that the intelligent scheduler is capable of providing good scheduling policy that can be used in practice.

• Journal of Korea Technology Innovation Society
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• v.6 no.2
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• pp.159-174
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• 2003

This study reviews the emerging new model of science and technology decision making process. It examines the open source software development model and community-based innovation model in technological innovation and the active participation model of Consensus Conference and Citizen's Jury in science and technology policy decision making. It argues that the role and influence of users in innovation and policy making is becoming important in these emerging models and the existing supplier-led, bureaucratic model of science and technology decision making model is changing.

• Journal of Information Processing Systems
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• v.11 no.4
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• pp.616-629
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• 2015

A mobile terminal will expect a number of handoffs within its call duration. In the event of a mobile call, when a mobile node moves from one cell to another, it should connect to another access point within its range. In case there is a lack of support of its own network, it must changeover to another base station. In the event of moving on to another network, quality of service parameters need to be considered. In our study we have used the Markov decision process approach for a seamless handoff as it gives the optimum results for selecting a network when compared to other multiple attribute decision making processes. We have used the network cost function for selecting the network for handoff and the connection reward function, which is based on the values of the quality of service parameters. We have also examined the constant bit rate and transmission control protocol packet delivery ratio. We used the policy iteration algorithm for determining the optimal policy. Our enhanced handoff algorithm outperforms other previous multiple attribute decision making methods.

• Korean System Dynamics Review
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• v.13 no.1
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• pp.159-182
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• 2012

Strategic decision on the execution of national security improvement project is greatly important for the present and future national security. Though, the importance of strategic decision, decision making process has been executed under one-way thinking framework. This research provides a decision-making tool with make-or-buy approach for the national security improvement policy execution methods: foreign purchase and military R&D project, and, via simulation, confirms dynamic change of military capability index respect to change in ratio of foreign purchase and military R&D. A result shows that current ratio of foreign purchases and military R&D is insufficient for national security improvement policy goal. Applying the model from this research provides an appropriate ratio for short term and long term defense strategy and policy goal, and consequent result of increase in national security capability. Thus, this research model can be effectively utilized for national security improvement project.

• Proceedings of the Korea Water Resources Association Conference
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• 2005.09a
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• pp.807-808
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• 2005

• Journal of Communications and Networks
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• v.14 no.2
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• pp.121-129
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• 2012

In this paper, we consider a source node that operates over a time varying channel with energy harvesting capability. The goal of the source is to maximize the average number of successfully delivered packets per time slot. The source is able to choose whether to transmit a packet or defer the transmission in each time slot. The decision which is chosen by the source depends on the channel information available and the length of the energy queue. We formulate the problem of finding the optimal policy as a Markovian decision problem. We show some properties of the value function that represents the discounted number of successfully delivered packets per time slot. We prove that the optimal policy is a threshold type policy depending on the state of the channel and the length of the energy queue. We also derive an upper bound for the average number of packets per time slots successfully received by the destination. We show using numerical results that this bound is a tight bound on the performance of the optimal policy. And we consider the case of time varying channel but without channel state information (CSI). Then, we study the impact of channel time varying nature and the availability of CSI. In this case, we show that the optimal policy is a greedy policy. The performance of this greedy policy is also calculated.

• Health Policy and Management
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• v.22 no.4
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• pp.467-496
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• 2012

Public participation in the decision making for scarce health resources is important because health policy requires trust based consensus, which can be achieved by public's understanding and involvement of related policies. In the past, opportunities for interaction between health policy decision makers and lay public were rare in Korea. As political impulses towards public participation in health policy have increased, a few of deliberation methods were attempted. However, there is little research, reporting such cases with a critical examination of relevant theories and previous studies. We first critically review the literature on public participation within theories of democracy, governance, and empowerment. Next, we report a case of a citizen council experiment, which was held to examine public's preferences among different benefit options regarding new drugs and medical technologies. Specifically, in an one-day long citizen council with a total of 28 lay public, twelve questions of whether a drug or a technology should be included in the benefit package of health insurance were asked. Pre- and post-surveys investigated participants' perception of public engagement in health policy. Although it was experimental, the citizen council ensured that lay public could be careful enough to rationally compare the costs and benefits of different options and collectively make decisions. Further, results from pre- and post-survey showed a strong willingness of members to be involved in health care decision making. In the conclusion, we emphasize that better theories and methods need to be developed for more cases of citizen participation in health care policy and management.

• Korean Journal of Culture and Social Issue
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• v.23 no.4
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• pp.557-585
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• 2017

In this research, it was examined whether predicting the ripple effects of events influences decision-making difficulty. In addition, it was examined whether perceived accountability for decision-making results mediates the relation above. In Study 1, participants were presented with policy decision-making vignettes and were asked to report on the ripple effects of their policy decisions as well as on the difficulty of making the decision. Consistent with the hypothesis, the bigger the expected ripple effects, the greater difficulty participants felt in making policy decisions. In Study 2, ripple effect magnitudes were experimentally manipulated such that participants were led to predict big ripple effects in one condition and relatively small ripple effects in another condition. It was investigated whether participants predicting bigger ripple effects would perceive decision-making to be more difficult than participants predicting smaller ripple effects. Whether this relation would be mediated by perceived personal accountability for the results of decision-making was also examined. Consistent with expectations, it was found that in the moral domains of Harm/care, Fairness/reciprocity, and Ingroup/loyalty, participants predicting bigger ripple effects reported more difficult decision-making than their counterparts. The relation above was mediated by perceived personal accountability for decision-making results only in the domain of Ingroup/loyalty. In combination, these results showed that bigger predicted ripple effects contributed to greater decision-making difficulty. In addition, participants felt more responsible for the results of their decisions when predicting bigger ripple effects, which led them to feel greater decision-making difficulty in the domain of Ingroup/loyalty. The implications of these results and future directions for research are discussed.