• Journal of the Korean Society for Aviation and Aeronautics
• /
• v.19 no.1
• /
• pp.24-28
• /
• 2011

This paper reviews a ceiling prediction method based on a mesoscale meteorological modeling system in South Korea. The study was motivated by the tendency of higher model ceiling height than the observed in daily operational forecasts. The goal of the paper is to report an effort to improve the operational ceiling prediction skill by conducting numerical experiments controlling a model parameter. In a case experiment, increasing constant values used in the relationship between extinction coefficients and concentration showed better performance, indicating a short-term strategy for operational local ceiling forecast improvement.

• International conference on construction engineering and project management
• /
• 2009.05a
• /
• pp.821-826
• /
• 2009

Current construction simulation approaches mostly focus on operation aspects of construction projects, ignoring managerial aspects which can radically change operational profiles (e.g., number of resources, expected productivity level, or daily working hours) during the course of construction. As a result, these approaches may mislead construction managers into unrealistic execution plans as well as make them difficult to find potential performance improvement areas. As an effort to address this issue, this paper establishes a comprehensive construction modeling framework which integrates operational and managerial aspects of construction projects. The proposed modeling framework will provide construction managers with more accurate, more reliable, and more realistic simulation results thus reducing the likelihoods of schedule delays and cost overruns.

• Journal of Distribution Science
• /
• v.21 no.2
• /
• pp.53-63
• /
• 2023

Purpose: This study aims to determine the effect of Customer Experience Management (CEM) on the distribution of Marketing Performance mediated by Digital Business Innovation (DBI), Digital Operational Excellence (DOE), and Digital Value Co-Creation (DVC) in Indonesia Information & Technology (IT) industry. Research design, data, and methodology: This research was conducted in two stages, namely exploratory and explanatory on IT companies in Indonesia. The authors took 132 samples using proportionate random sampling method in three groups of companies. Results: The results showed that CEM had no significant positive effect on the distribution of Marketing Performance. CEM has no direct effect on the distribution of Marketing Performance through the mediation of DBI. CEM has direct effect on the distribution of Marketing Performance through the mediation of DOE and DVC. DBI has no significant effect in increasing the distribution of Marketing Performance. However, DOE and DVC have a significant effect in increasing the distribution of Marketing Performance. Conclusion: The distribution of Marketing Performance can be indicated better through CEM through mediation.

• Journal of Korea Technology Innovation Society
• /
• v.17 no.1
• /
• pp.146-173
• /
• 2014

Extant studies have explained that firm's innovations including technological product and process innovations contribute to its competitive advantage and growth, thereby supporting competitiveness and growth of industry. These studies, however, have focused mainly on the role and effect of technological change that is primarily measured by the patent numbers and R&D intensity. Aside from these traditional streams, there has been growing interest on the impact by various dimensions of innovation including non-technological innovations. Apart from the discussions on the dimensions and scope of innovation, stages or processes of innovation also have been studied. Extant studies on innovation process model, however, has limited its interests in the structure of the transformation of knowledge. This study have established a comprehensive model embracing operational and financial performance to investigate the causal paths between innovation and firm performance. Using multi-level generalized linear model with path analysis, this study have found results as follows: First, the processes from innovative activities to innovation output and outcomes including operational and financial performance at firm level were verified. Secondly, the influence of innovation decreases gradually as the distance away from the direct outputs of the innovation increase in the direction of financial outcomes. Third, the effect of innovation on the sales growth rate is higher for small businesses than for medium-sized businesses. The effect of innovation on the profit rate, however, is significant only for medium-sized businesses. For large businesses, innovation has no positive significant impact on any financial performance at all. Fourth, Fourth, the appropriability of innovation has positive impacts on innovative performance, patent applications, and operational performance.

• Proceedings of KOSOMES biannual meeting
• /
• 2004.11a
• /
• pp.49-56
• /
• 2004

It has been estimated that up to $80\%$ of all marine accidents have human elements as a cause. t of these, human elements of crew fatigue is main causes of marine accident. Crew fatigue involves sleep, schedule. workload. off-time. alcohol health and stress. With a ship handling simulator, the effect of alcohol on ship operational performance is studied for each 0.05 and $0.08g\%$ blood alcohol concentrations. A main effect for alcohol was found indicating that ship operational performance was significantly impaired by this alcohol relative to performance in the non-alcohol condition. The results of this research can be applied to minimize marine accidents as basic data.

• Korea Journal of Hospital Management
• /
• v.15 no.3
• /
• pp.143-169
• /
• 2010

This is a case study of Seoul St. Mary's Hospital applying a real-time enterprise (RTE) strategy to improve customer satisfaction and operational efficiency with the main process of medical institutions. The hospital is applying an RTE strategy to get real-time information on occurrences at each contact point of the main process of the medical institution from reservation to discharge through dashboard and to resolve issues through rapid decision-making. The RTE strategy of the hospital has some summaries: First, the hospital has linked a hospital management strategy to the RTE strategy to build a patient-centered treatment process. Second, the hospital has operated a control tower for change management and implementation monitoring in the process of implementing the RTE strategy. Third, the hospital has built systematic RTE-based environment as an application program in which the nU System is linked to Business Processor Renovation (BPR) promoted from 2006 on. Fourth, the hospital is applying a strategy to improve efficiency in operating the hospital by increasing customer satisfaction, removing inefficiency and variability, and managing medical resources efficiently through the RTE strategy. Fifth, it has established an information-sharing system through authority management for each user in terms of RTE information. Sixth, it has supplemented limitations of short-term information of the RTE strategy by linking the key performance index to the cost information system in order to improve performance of the RTE strategy. Seventh, it has improved customer satisfaction and achieved higher performance in improving operational efficiency, as compared with rival hospitals, through the RTE strategy.

• Smart Structures and Systems
• /
• v.33 no.3
• /
• pp.189-199
• /
• 2024

To properly extract the strain components under varying operational conditions is very important in bridge health monitoring. The abnormal sensor readings can be correctly identified and the expected operational performance of the bridge can be better understood if each strain components can be accurately quantified. In this study, strain components under varying load conditions, i.e., temperature variation and live-load variation are evaluated based on field strain measurements collected from a real concrete box-girder bridge. Temperature-induced strain is mainly regarded as the trend variation along with the ambient temperature, thus a smoothing technique based on the wavelet packet decomposition method is proposed to estimate the temperature-induced strain. However, how to effectively extract the vehicle-induced strain is always troublesome because conventional threshold setting-based methods cease to function: if the threshold is set too large, the minor response will be ignored, and if too small, noise will be introduced. Therefore, an autoencoder framework is proposed to evaluate the vehicle-induced strain. After the elimination of temperature and vehicle-induced strain, the left of which, defined as the model error, is used to assess the operational performance of the bridge. As empirical techniques fail to detect the degraded state of the structure, a clustering technique based on Gaussian Mixture Model is employed to identify the damage occurrence and the validity is verified in a simulation study.

• Journal of the Korea Society for Simulation
• /
• v.23 no.4
• /
• pp.211-218
• /
• 2014

The Test and Evaluation (T&E) system became more important due to its advancement and complexity of the weapon system. Time and cost saving T&E related studies are in progress mainly with advanced countries. By utilizing the Modeling and Simulation (M&S) technology recently, we may save time and money. Also, overcome security and safety limitations. There are many M&S based research activities in South Korea but it is way behind of the system that some countries already have developed. i.e.; United States. This area of study requires new way of developing strategies in the T&E system of Korea. This study is to design the Operational T&E system for weapon systems based on modeling of processes. And we modeled the processes of operational performance evaluation through utilizing resources and performance modules of weapon systems and combined it with the simulation engine for 3D visualization. Through this, we propose the Operational T&E system for weapon systems based on modeling of processes that represent operational performances visually.

• Journal of Aerospace System Engineering
• /
• v.11 no.2
• /
• pp.1-8
• /
• 2017

Delivering clear requirements of the military in the defense acquisition process is a key activity for successful weapon acquisition. In the field of defense, Operational Requirements Documents (ORDs) are prepared to derive and deliver the requirements of the military. In this study, we compare and analyze the form and content of the recent domestic ORD with reference to the US Department of Defense (DoD) ORD. As a result of the study, it is found that the domestic ORD form needs to be supplemented with in accordance with the purpose of the operation, while the requirement parameter, which is a core item of ORD, is insufficient. In order to address these issues, detailed contents of the ORD form suitable for the purpose of this study are presented. Also, we provide clear definitions, explanations, and examples of the operational system's key performance parameters and suggest ways to clearly communicate the requirements of the military.

• Ocean and Polar Research
• /
• v.43 no.3
• /
• pp.179-192
• /
• 2021

In this study, an integrated wave model from global to coastal scales was developed to improve the operational wave prediction performance of the Korean Meteorological Administration (KMA). In this system, the wave model was upgraded to the WaveWatch III version 6.07 with the improved parameterization of the source term. Considering the increased resolution of the wind input field and the introduction of the high-performance KMA 5^th Supercomputer, the spatial resolution of global and regional wave models has been doubled compared to the operational model. The physical processes and coefficients of the wave model were optimized for the current KMA global atmospheric forecasting system, the Korean Integrated Model (KIM), which is being operated since April 2020. Based on the sensitivity experiment results, the wind-wave growth parameter (β_max) for the global wave model was determined to be 1.33 with the lowest root mean square errors (RMSE). The value of β_max showed the lowest error when applied to regional/coastal wave models for the period of the typhoon season when strong winds occur. Applying the new system to the case of August 2020, the RMSE for the 48-hour significant wave height prediction was reduced by 13.4 to 17.7% compared to the existing KMA operating model. The new integrated wave prediction system plans to replace the KMA operating model after long-term verification.