• IE interfaces
• /
• v.20 no.4
• /
• pp.525-538
• /
• 2007

The importance of efficient container transportation becomes more significant each year due to the constant growth of the global marketplace, and studies focusing on shipping efficiency are becoming increasingly important. In this paper, we propose an approach for vehicle scheduling that decreases the number of vehicles required for freight commerce by analyzing and scheduling optimal routes. Container transportation can be classified into round and single-trip transportation, and each vehicle can be linked in a specific order based on the vehicle state after completing an order. We develop a mathematical model to determine the required number of vehicles with optimal routing, and a heuristic algorithm to perform vehicle scheduling for many orders in a significantly shorter duration. Finally, we tested some numerical examples and compared the developed model and the heuristic algorithm. We also developed a decision support system that can schedule vehicles based on the heuristic algorithm.

• Communications for Statistical Applications and Methods
• /
• v.30 no.5
• /
• pp.437-451
• /
• 2023

Generalized linear models and generalized linear mixed models (GLMMs) are fundamental tools for predictive analyses. In insurance, GLMMs are particularly important, because they provide not only a tool for prediction but also a theoretical justification for setting premiums. Although thousands of resources are available for introducing GLMMs as a classical and fundamental tool in statistical analysis, few resources seem to be available for the insurance industry. This study targets insurance professionals already familiar with basic actuarial mathematics and explains GLMMs and their linkage with classical actuarial pricing tools, such as the Buhlmann premium method. Focus of the study is mainly on the modeling aspect of GLMMs and their application to pricing, while avoiding technical issues related to statistical estimation, which can be automatically handled by most statistical software.

• Korea Trade Review
• /
• v.47 no.4
• /
• pp.125-135
• /
• 2022

This study is to analyze the economic effects of tariff reduction using computable general equilibrium(CGE) model. We set up the social accounting matrix for five-base equilibrium year. Our main findings are as follows. First, the impact of tariff reduction on GDP was different from time to time. It meas that the differentiated economics structure was affected by tariff reduction. As our economic grew up, the impact of tariff reduction was measured much higher. Second, until 1995 the impact of tariff reduction on total export and import was increased, then while 1995 the increase was dropped. This is because we reduced the tariff by the WTO negotiations. Third, the tariff reduction affected the price of imported goods, so it contributed to substitute effects between domestic and imported goods. According to these results, we found out the importance of the linkage between the tariff reduction and economic structure.

• Journal of Electrical Engineering and information Science
• /
• v.1 no.2
• /
• pp.58-66
• /
• 1996

An adaptive input-output linearization technique of an interior permanent magnet synchronous motor with a specified output dynamic performance is proposed. The adaptive parameter estimation is achieved by a model reference adaptive technique where the stator resistance and the magnitude of flux linkage can be estimated with the current dynamic model and state observer. Using these estimated parameters, the linearizing control inputs are calculated. With these control inputs, the input-output linearization is performed and the load torque is estimated. The adaptation laws are derived by the Popov's hyperstability theory and the positivity concept. The robustness and the output dynamic performance of the proposed control scheme are verified through the computer simulations.

• Asian Journal of Innovation and Policy
• /
• v.6 no.1
• /
• pp.58-84
• /
• 2017

This article aims at demonstrating location specific approach for agricultural technology promotion and adoption in improving the livelihood of the small farmers in the haor basin and coastal belt of Bangladesh. Innovative technologies that have potentials are initially screened by ex-ante investigation and instrumented by the business model canvas, which is used as a bottom-up approach for sustainability of the adoption of proposed technology innovations. Village-level extension farmers, sub-district extension officers and farmers' cooperative are the unique and central features to the business models and forward linkages. Extension service, power tiller, low-lift pump, sunflower, shallow tube well, quality seed, forward linkage for farmed duck eggs, live ducks and open catch fish etc. are the suggested potential technology innovations for the small farmers. The technology adoption business model can be reinvented for different locations within or beyond the country considering the local agricultural problems and prospects for greater sustainability.

• Journal of Korean Library and Information Science Society
• /
• v.35 no.4
• /
• pp.251-269
• /
• 2004

This paper recommends the use of information processing models for student's information literacy education. The author mantions that the proper use of an information processing model help enhance students' self-study, creativity, and academic attainment as psychological tools. An information processing model helps also students reach the Information literacy standards set by AASL and AECT. The author attempts to show the important linkage between the practical application of information technologies during the use of an information processing model and the attainment of the Information literacy standards.

• Journal of Environmental Impact Assessment
• /
• v.20 no.1
• /
• pp.25-36
• /
• 2011

In this study, the accurate water quality analysis in rivers, including the non-point source is performed. First of all, watershed model, SWAT(Soil and Water Assessment Tool) was applied to analyze the impact of the non-point source in study area. And then, water quality analysis integrating the point source and the non-point source is implemented using QUALKO model. For more exact simulation, it should be the calibration and verification of variables and parameters which are needed for simulation. In addition, the importance of considering the non-point source was confirmed in river water quality simulation. BOD, TN, TP were analysed, and the results shows that BOD, TN and TP concentration was increased to 16.8%, 8.2% and 25.8% respectively. The more accurate estimate will be carried if use of reliable measurements and watershed simulation be done in models linking process. The suggested technique will improve the accuracy of the water quality analysis. The methodologies presented in this study will contribute to basin-wide water quantity and quality management.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.13 no.1
• /
• pp.185-196
• /
• 2017

Today, companies and social actors at the beginning of the Fourth Industrial Revolution are focusing on active innovation and efforts to adapt to rapidly changing environmental changes. Design thinking refers to creative strategies designers utilize during the process of designing. Design thinking is also an approach that can be used to consider issues and resolve problems more broadly than within professional design practice, and has been applied in business and to social issues. However, there are some limitations in the design thinking methodology during the project in the field. This paper presents a novel design - thinking process that incorporates a lean start - up based business model into the design thinking process. We conducted a case study to verify the effectiveness of our new design thinking process in social innovation projects. In this paper, it is meaningful to suggest and verify a new process that combines business model Zen to complement the limit of design thinking. It will also provide guidelines for design thinking projects as tools for social innovation.

• Korea Journal of Hospital Management
• /
• v.24 no.3
• /
• pp.38-47
• /
• 2019

Purposes: Rapid aging and increase of high chronic diseases of the elderly are increasing the needs for expanding elderly care beyond the concept of treatment in medical institutions. This study is to discuss the core values, functions, and roles of municipal hospitals and suggest a suitable community care model. Methodology: The survey was collected twice derived from the domestic expert groups. This study analyzed experts' responses using Delphi method and Analytic Hierarchy Process, using Microsoft Excel 2016. Findings: Among the core values of the municipal hospitals, it was shown that community linkage had the highest priority. The publicity had the highest priority among the functions and roles of the municipal hospitals. In the community care models presented in this study, the model focused on 'Community Care Integration Center' showed highest relevance, suitability and applicability. Practical Implications: This study suggested three different community care models and derived the most suitable model for community care, which is focused on the municipal hospitals. It suggested effective application of the community care model to promote community care in each community.

• The Journal of Asian Finance, Economics and Business
• /
• v.9 no.10
• /
• pp.29-38
• /
• 2022

Ready-made Garments (RMG) export earnings, which are almost 80% of the total exports of Bangladesh, have been recognized as one of the main catalysts for the recent development of the country. Therefore, the need to determine whether the RMG export had served as a mechanism for increasing the GDP growth as well as the economic development of the country is topical and pressing. We have applied the Johansen Co-integration test and Vector Error Correction Model (VECM) to reveal the linkage of RMG export earnings and other variables with the GDP growth rate in Bangladesh. Using data from 1990 to 2020 for Bangladesh, we have found long-run as well as short-run associations among RMG Export earnings, Foreign Direct Investment (FDI), and GDP growth. A co-integration among the variables is validated through the Johansen Co-integration test. Moreover, a causal correlation running from RMG export earnings to GDP was revealed by the Granger causality test in the long run. Finally, we estimated impulse response functions to observe the variations of model variables in response to a shock. Our result supports the proposition that RMG export earnings are one of the main growth engines in Bangladesh and this sector leads growth in other sectors also in the long term.