• Korean System Dynamics Review
• /
• v.13 no.1
• /
• pp.159-182
• /
• 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 Korean Operations and Management Science Society Conference
• /
• 2005.05a
• /
• pp.1114-1116
• /
• 2005

Shop floor control systems (SFCS) are used to make real-time planning and scheduling decisions to optimize the efficiency of manufacturing shops. These shops exhibit a non-linear, dynamic evolution caused by 1) the concurrent flows of disparate parts following complex routings, 2) a variety of machines that breakdown at random times, 3) stochastic arrivals of new parts with different priorities, and 4) jobs that have probabilistic processing times and transportation times. Because of their ability to capture that evolution faithfully, simulation models are often used in the aforementioned decisions. In this paper, various types of decision-making problems encountered in a shop floor have been investigated and categorized into process related problems and resource related problems for shop floor simulation.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.32 no.1
• /
• pp.147-160
• /
• 2007

In this paper, the optimal decision making strategy for resource management is viewed in terms of a combined strategy of planting and producing time. A model which can be used to determine the optimal management strategy is developed, and focuses on how to design the operation of a Markov chain so as to optimize its performance. This study estimated a dynamic stochastic model to compare alternative production style and used the net present value of returns to evaluate the scenarios. The managers in this study may be able to increase economic returns by delaying produce in order to market larder, more valuable commodities.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2002.05a
• /
• pp.804-808
• /
• 2002

A strategic decision making needs a sound process modeling to find out the right path of organizational changes; however, dynamic feedback processes involved in a real world business, make it difficult to predict the outcomes of strategic decisions. In this paper, we present a conceptual framework to facilitate strategic decision making process for organizational changes. The framework, which employs the concepts of analytic network process (ANP) and system dynamics (SD), can be used to prioritize various projects under consideration and to make a long-term strategic plan in a constructive manner.

• Proceedings of the Korean Institute of Building Construction Conference
• /
• 2009.05b
• /
• pp.209-212
• /
• 2009

During the last few decades, several companies and research laboratories have developed construction robots in an effort to improve productivity, quality, and reduce construction time and safety concerns. Recently, domestic construction industry is also interested in developing the construction robots. However, the studies on the research and development process is impossible in real field. A existing research's object is the development of the research on the assumption that construction's environment is a fixed form, But real construction's environment is very dynamic and atypical. So it is very difficult that we apply construction automation and robots. In order to solve this problem, this study deduce influential factors on decision making of frame construction scheduling for automated construction.

• Journal of Information Technology Services
• /
• v.15 no.4
• /
• pp.85-95
• /
• 2016

Recently, deep learning and machine learning have attracted considerable attention and many supporting frameworks appeared. In artificial intelligence field, a large body of research is underway to apply the relevant knowledge for complex problem-solving, necessitating the application of various learning algorithms and training methods to artificial intelligence systems. In addition, there is a dearth of performance evaluation of decision making agents. The decision making agent that can find optimal solutions by using reinforcement learning methods designed through this research can collect raw pixel data observed from dynamic environments and make decisions by itself based on the data. The decision making agent uses convolutional neural networks to classify situations it confronts, and the data observed from the environment undergoes preprocessing before being used. This research represents how the convolutional neural networks and the decision making agent are configured, analyzes learning performance through a value-based algorithm and a policy-based algorithm : a Deep Q-Networks and a Policy Gradient, sets forth their differences and demonstrates how the convolutional neural networks affect entire learning performance when using pixel data. This research is expected to contribute to the improvement of artificial intelligence systems which can efficiently find optimal solutions by using features extracted from raw pixel data.

• Journal of Institute of Control, Robotics and Systems
• /
• v.14 no.7
• /
• pp.635-641
• /
• 2008

In this paper, we used a laser range finder (LRF) to detect both the static and dynamic obstacles for the safe navigation of a mobile robot. LRF sensor measurements containing the information of obstacle's geometry are first processed to extract the characteristic points of the obstacle in the sensor field of view. Then the dynamic states of the characteristic points are approximated using kinematic model, which are tracked by associating the measurements with Probability Data Association Filter. Finally, the collision avoidance algorithm is developed by using fuzzy decision making algorithm depending on the states of the obstacles tracked by the proposed obstacle tracking algorithm. The performance of the proposed algorithm is evaluated through experiments with the experimental mobile robot.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 1996.10a
• /
• pp.49-52
• /
• 1996

In this article, we develop a 'dynamic' approach to manufacturing improvement, based on perspectives of manufacturing learning and decision theory. First, we present an alternative definition of production system consistent with a decision-theoretic perspective: the system consists of structural, infra-structural, and decision making constructs. A primary proposition is that learning capability possessed by a manufacturing system be prerequisite for the system to improve its manufacturing performance through optimal controlling of the three constructs. To support the proposition, we elaborate on a mathematical representation of "learning" as defined in an applied setting. We show how the learning capability acts as an integrating force ameliorating the trade-off between two key manufacturing capabilities, i.e., process controllability and process flexibility.exibility.

• Journal of Digital Convergence
• /
• v.10 no.9
• /
• pp.101-110
• /
• 2012

In recent days, lots of social commerce newly emerged business types of e-commerces are on the basis of social network. Therefore social commerce with social network might be powerful communication channel among customers and has suggested new paradigm in transaction model on the internet. In general, major roles of social commerce sites are to promote transaction with high discount rate and/or lots of event and to activate markets of local area. As characteristics of social commerce such as dynamic, rapid, and open, this research was assumed that design factors of sites that are different from existing e-commerce sites might be influential elements in decision making of purchase. This research is to empirically investigate which factors affect purchase decision making behaviors for 20s respondents who are major users of social commerce services. As a result major factor, easy-to-use, affecting decision making factors was identified and this result can give implication to researchers and persons in charge of fields who have interests in commerce site design and upgrade.

• Earthquakes and Structures
• /
• v.11 no.4
• /
• pp.583-607
• /
• 2016

One of the main applications of seismic risk assessment is that an specific design could be selected for a bridge from different alternatives by considering damage losses alongside primary construction costs. Therefore, in this paper, the focus is on selecting the shape of pylon, which is a changeable component in the design of a cable-stayed bridge, as a double criterion decision-making problem. Different shapes of pylons include H, A, Y, and diamond shape, and the two criterion are construction costs and probable earthquake losses. In this research, decision-making is performed by using developed seismic risk assessment process as a powerful method. Considering the existing uncertainties in seismic risk assessment process, the combined incremental dynamic analysis (IDA) and uniform design (UD) based fragility assessment method is proposed, in which the UD method is utilized to provide the logical capacity models of the structure, and the IDA method is employed to give the probabilistic seismic demand model of structure. Using the aforementioned models and by defining damage states, the fragility curves of the bridge system are obtained for the different pylon shapes usage. Finally, by combining the fragility curves with damage losses and implementing the proposed cost-loss-benefit (CLB) method, the seismic risk assessment process is developed with financial-comparative approach. Thus, the optimal shape of the pylon can be determined using double criterion decision-making. The final results of decision-making study indicate that the optimal pylon shapes for the studied span of cable-stayed bridge are, respectively, H shape, diamond shape, Y shape, and A shape.