• Journal of Korea Port Economic Association
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• v.33 no.3
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• pp.35-52
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• 2017

Interest and demand in heavy cargo logistics is increasing and becoming more diverse as economic scales have expanded and manufacturing activity has increased. Although cargo moves via maritime and/or land transportation, there is currently insufficient research on the actual condition of heavy cargo logistics. The purpose of this study is to carry out an in-depth analysis of heavy cargo laws, systems, logistics patterns, and current transportation status. By proposing measures to solve existing problems, this study aims to make an important and ongoing contribution to the scarcely studied field of heavy cargo logistics. The result of regression analysis on the main seven factors show that transportation frequency and law/system structure have a positive effect on working conditions. Furthermore, the result of correlation analysis on the main seven factors show that the cargo weight variable is highly positively correlated with cargo size. Also, the working conditions variable is highly positively correlated with the law/system structure. Detailed proposal measures to solve existing problems are summarized as follows. First, it is necessary to establish a clear concept of heavy cargo as numerous existing definitions differ. Second, laws and provisions relating to maritime and land transportation of heavy cargo need to be established and consolidated as current applicable legislation is insufficient. Third, the classification system for heavy cargo transportation needs improvement. Fourth, it is necessary to improve transportation performance statistics and the aggregate criteria system. Finally, the management system of heavy cargo also needs improvement.

• Journal of the Korean Society of Systems Engineering
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• v.7 no.2
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• pp.21-30
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• 2011

The contractor management for the effective defense project is essential factor in the modern defense acquisition project. The occurrence of Improper Businessman causes the reason in which defense acquisition project is unable to be reasonably fulfilled and setback to the deployment of defense weapon system. In this paper, we develop a prediction model for the effective defense project by using the Discriminant Analysis, the Logistic Regression & Artificial Neural Network and analyse the core variables that determine the Improper Businessman in many variables. It is expected that our model can be used to improve the project management capability of defense acquisition and contribute to the establishment of efficient procurement procedure through entry of the reliable domestic manufacturer.

• Journal of the military operations research society of Korea
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• v.31 no.1
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• pp.26-41
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• 2005

The ROK TRANSCOM and Army Logistics Command have established wartime overland transportation plans. They have to mobilize several wartime overland transportation troops in order to meet the wartime transportation requirement. But there are some uncertainties in the process of transportation such as the number of vehicles to mobilize, the vehicle utilization factor, and round trip time. Here, we established two models. One is the simulation model to evaluate the transportation capability considering uncertain factors. The simulation model is executed with two scenarios and then the results are analyzed through a sensitivity analysis. The other model is the regression model to analyze the effects of transportation factors toward capability.

• East Asian Journal of Business Economics (EAJBE)
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• v.9 no.1
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• pp.17-26
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• 2021

Purpose-This study examines how financial slack resources and subcontracting of small and medium-sized enterprises (SMEs) affect their internationalization. To identify slack resources, subcontracting, and internationalization of SMEs, 1,062 SME samples in the electronics industry are used in the logistic regression analysis to analyze their relationship with SMEs' export. Research design, data, and methodology-This study conducted the empirical analysis on 1,062 SMEs in the electronics industry using the sample survey method. The samples were based on data selected and distributed by the Ministry SMEs and Startups. The data analysis methods were descriptive, correlation analysis, and logistics regression analysis. Result-The analysis shows that only available resources are negatively related to SMEs' internationalization. It can be interpreted as a high tendency for SMEs to avoid relatively risky choices such as entering overseas markets if they have enough financial resources. Moreover, subcontracting has a negative relationship with internationalization. Conclusion-This study broadened the scope of SME research by analyzing subcontracting and slack resources together and provides practical implications for policymakers and managers.

• Journal of Navigation and Port Research
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• v.39 no.4
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• pp.371-376
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• 2015

Port is responsible for the important role that creates a lot of value-added export and import-intensive countries, critical infrastructure, and in the national economy. Despite being an important facility for the past, awareness of the port is insufficient; In 2000s, increasing the world container traffic volumes, China's economic development, and trade volume in the Northeast Asia to generate a lot of are changing the perception of the role and importance of the port. According to the review of the master plan and the port recognition in Korean Port, this study examines determining factors which affects the port cargo volume. The target of the study is domestic small and medium-sized container port that receives a large hinterland cargo volume, excluding the impact of the Global Hub Port like Busan and Gwangyang port. Factors that affect the multiple regression analysis result of the port cargo volume are berthing capacity, degree of activation, connection number of countries, GRDP and number of manufacturers.

• Journal of Navigation and Port Research
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• v.34 no.5
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• pp.389-395
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• 2010

Recently, it becomes important for container ports to gain competitiveness through service differentiation strategies. These strategies require an objective evaluation on consumer needs. For that reason, this study aims at developing the scale and measurement methods for service quality. Container shipping companies calling at Busan are targeted for the empirical analyses. The measurement items are presented for the services that they are provided from entry into a port to departure from a port. Exploratory factor analysis and validity analysis are done to derive a service quality scale from entry to departure. The result of regression analysis implies that the service quality scale is useful to increase customer satisfaction and to establish managerial strategies.

• Journal of Korean Society for Quality Management
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• v.34 no.2
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• pp.129-135
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• 2006

In the advance of computer technology, it is possible to keep all the related informations for monitoring equipments in control and huge amount of real time manufacturing data in a data base. Thus, the statistical analysis of large data sets with hundreds of thousands observations and hundred of independent variables whose some of values are missing at many observations is needed even though it is a formidable computational task. A tree structured approach to classification is capable of screening important independent variables and their interactions. In a Six Sigma project handling large amount of manufacturing data, one of the goals is to screen vital few variables among trivial many variables. In this paper we have reviewed and summarized CART, C4.5 and CHAID algorithms and proposed a simple method of screening vital few variables by selecting common variables screened by all the three algorithms. Also how to develop a logistics regression model on a large data set is discussed and illustrated through a large finance data set collected by a credit bureau for th purpose of predicting the bankruptcy of the company.

• Journal of Korean Society for Quality Management
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• v.41 no.1
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• pp.39-52
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• 2013

Purpose: The purpose of this study was to investigate if purchasing companies' efforts of supplier development activities to supplier companies have positive impacts on the purchasing companies' performance as the first step. In the second step, we tried to confirm if the concept of Supply Chain Corporate Social Responsibility activities and Coexistence activities take the roles of moderate variable on relationship between supplier development and three performances respectively. Methods: The collected data through survey were analysed using multiple regression for the first step of the study and moderate regression for the second one of it. Results: The results of this study are as follows; supplier development efforts effect on all three performances positively. Moreover, Supply Chain CSR has significant moderate effect on relationship between supplier management and corporate performances, while Coexistence does between supplier management and logistics performances. In the case of relationship between supplier management and production performances, both Supply Chain CSR and Coexistence show significant moderate effect. Conclusion: Manufacturing companies in Korea need to make effort of supplier development in selective way when they want to practice Supply Chain CSR and Coexistence concurrently considering strategies and objectives.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.39 no.5
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• pp.253-263
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• 2021

Traffic data collected using advanced equipment are highly valuable for traffic planning and efficient road operation. However, there is a problem regarding the reliability of the analysis results due to equipment defects, errors in the data aggregation process, and missing data. Unlike other detectors installed for each vehicle lane, radar detectors can yield different error types because they detect all traffic volume in multilane two-way roads via a single installation external to the roadway. For the traffic data of a radar detector to be representative of reliable data, the error factors of the radar detector must be analyzed. This study presents a field survey of variables that may cause errors in traffic volume collection by targeting the points where radar detectors are installed. Video traffic data are used to determine the errors in traffic measured by a radar detector. This study establishes three types of radar detector traffic errors, i.e., artificial, mechanical, and complex errors. Among these types, it is difficult to determine the cause of the errors due to several complex factors. To solve this problem, this study developed a radar detector traffic volume error analysis model using a multiple linear regression model. The results indicate that the characteristics of the detector, road facilities, geometry, and other traffic environment factors affect errors in traffic volume detection.

• Journal of Distribution Science
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• v.18 no.4
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• pp.27-37
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• 2020

Purpose: This exploratory research is to give managerial implication to sales personal management. This study focused on antecedents of job satisfaction and organizational commitment specially in HRD programs and system by participation and effect toward job. Research design, data and methodology: This research focuses on relationship analysis among job satisfaction, organizational commitment and HRD programs of logistics and sales personnel in Korea. HRD program consider two parts one is participation and other is effect toward job. And three HRD program is included education & training, system and self-directed Learning. This study used 7th HCCP data from KRIVET and 748 employee data is analyzed. SPSS18 is used and frequency, reliability, correlation and regression analysis are conducted. Results: Result shows that job satisfaction is positively affected by education & training participation, HRD system participation and HRD system effect toward job. Organizational commitment is positively affected by education & training participation, HRD system participation, education & training effect toward job and HRD system effect toward job. However self-directed Learning participation negatively affect organizational commitment. Lastly job satisfaction partially mediates between HRD and organizational commitment. Conclusions: Based on the results, this paper provide implication to academic, practical HRD and suggest feature research.