• 산업경영시스템학회지
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• 제43권4호
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• pp.76-83
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• 2020

Postal logistics organizations are characterized as having high labor intensity and short response times. These characteristics, along with rapid change in mail volume, make load scheduling a fundamental concern. Load analysis of major postal infrastructures such as post offices, sorting centers, exchange centers, and delivery stations is required for optimal postal logistics operation. In particular, the performance of mail traffic forecasting is essential for optimizing the resource operation by accurate load analysis. This paper addresses a traffic forecast problem of postal parcel that arises at delivery stations of Korea Post. The main purpose of this paper is to describe a method for predicting short-term traffic of postal parcel based on self-similarity analysis and to introduce an application of the traffic prediction model to postal logistics system. The proposed scheme develops multiple regression models by the clusters resulted from feature engineering and individual models for delivery stations to reinforce prediction accuracy. The experiment with data supplied by main postal delivery stations shows the advantage in terms of prediction performance. Comparing with other technique, experimental results show that the proposed method improves the accuracy up to 45.8%.

• 한국항해항만학회지
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• 제39권5호
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• pp.423-429
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• 2015

The expansion on the scale of international trade and rapid economic growth in Northeast Asia have caused intense competition among global companies for securing international logistics center in Northeast Asia. Analyzing location competitiveness for international logistics center in Northeast Asia, this paper aims to extract implications for enhancing locational competitiveness. Employing the relative importance among location selection factors extracted from AHP analysis in prior study, we evaluated the major five port-cities in Northeast Asia including Busan, Gwangyang, Shanghai, Qingdao and Tokyo. In the evaluations, Shanghai (3.926) ranked as the first, followed by Busan (3.859), Qingdao (3.555), Tokyo (3.013) and Gwangyang (2.915). Furthermore, the causal relationships between determinants for location choice decision (logistics factor, cost factor, market factor, service factor and environmental factor) and dependent variables (competitiveness of international logistics center, potentiality to growth, present intention to move into and future plan to move into) were analyzed to provide implications. Results provide useful insights for further improvements, and helps strategic agenda for future development of port-cities.

• 산경연구논집
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• 제10권12호
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• pp.7-14
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• 2019

Purpose: In Korea, win-win growth policy has been successfully implemented in supply chain and logistics management. In the policy, it is recommended to support supply chain partners with various mechanisms including financial and technical aids. This study attempts to scientifically analyze the effects of direct and indirect win-win growth policy factors on supply chain and logistics management performance through partnership factors. Research design, data and methodology: This study builds a structural equation model reflecting the relationship between the win-win growth policy, partnership and performance factors. The proposed model is verified with the PLS (Partial Least Squares regression) methodology. Data from shipper and logistics companies were collected and analyzed by the PLS model. Results: The analysis showed that both direct and indirect policy factors are meaningful to improve supply chain and logistics performance. Indirect support factors including R&D, management innovation, human resources development and educational supports have positive impacts on partnership factors. Direct support factors including financial aids and fairness also have positive impacts on the performance. Conclusions: This study is meaningful in that it suggests a turning point in which supply chain Win-win growth and partnership efforts are perceived as new value-creating mechanism rather than unilateral cost reduction for logistics industry.

• 유통과학연구
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• 제20권2호
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• pp.101-108
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• 2022

Purpose: In this logistics disturbance period, this study conducts research of distribution and logistics firms in Korea. The purpose of this exploratory research is to analyze global competitive capability influence on business performance. And give managerial implications and contribute to academics. Research design, data, and methodology: This research empirically analyzes the relationship between global competitive capability and business performance. As for business performance this research considered non-financial performance and measured with business performance fulfillment. As for antecedent variables, this research measured three global competitive capability constructs; preparation, utilization, intensive capability. And each construct includes two capability concepts. This study used 2,316 executing direct export distribution and logistics industry firmsfrom KOTRA's GCL data. This research used frequency analysis, reliability analysis, correlation analysis, and step-wise regression analysis by SPSS26. Results: The result shows that all the variables except export infra showed statistically significant. As results show, mid/long strategy & global mind of preparation capability, both communication and marketing of utilization capability and market strategy and product/goods/service of intensive capability give a positive influence on business performance fulfillment. Conclusions: Based on the results, this research provide implication for practical management, contribution to academic, and suggestion for feature research.

• 보건의료산업학회지
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• 제8권2호
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• pp.139-148
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• 2014

The purpose of this study was to analyze the factors affecting the unmet dental needs of Koreans. In relation to the subjects and methodology for this study, the data from the 5th national health nutrition survey which had been conducted between 2010 and 2012 were analyzed by using the PASW statistics 18.0 (SPSS Inc., Chicago, IL, USA), a statistical program, through the frequency analysis of complex samples, cross analysis of complex samples, and logistics regression analysis of complex samples. The results of analysis showed that the rate of unmet dental needs stood at 35.3% of all subjects. Moreover, to determine the factors related to the unmet dental needs, the logistics regression analysis of complex samples was conducted. The results of analysis showed that the demographic and socio-economic factors and oral health condition factors had relationship with unmet dental needs. It is necessary to consider all the objective dental treatments that reflect specific dental diagnosis from a comprehensive standpoint.

• 한국항공운항학회지
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• 제29권2호
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• pp.106-110
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• 2021

In this study, the main factors affecting the number of passengers and cargo volume transported by air between Korea, China and Japan over the past 20 years are to be identified. For the analysis, data from three countries' GDP and per capita as well as exchange rates and international oil prices were used, and OLS multiple regression analysis and fixed effect analysis were performed. As a result of the analysis, both the number of passengers and cargo volume transported by air showed a negative (-) direction for GDP, which represents the country's economic power, and a positive (+) direction, for per capita GDP, which represents income level. And the increase in the exchange rate between China and Japan acted in a positive (+) direction on the increase in the number of passengers, and the effect of oil prices was found to be limited.

• 한국항해항만학회지
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• 제34권7호
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• pp.559-566
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• 2010

The container port industry has been variously studied by many researchers, because the contemporary container transportation and container port industries play a pivotal role in globalization of the world economy. For container terminals, the productivity, affected by many factors, is an important target in measuring container terminal performance. Under this background, finding the critical factors affecting the productivity is necessary. Regression analysis can be used to identify which independent variables are related to the dependent variable, and explore the relationships of them. The aim of paper is to evaluate the factors affecting the productivity of Chinese major terminals by using a regression statistical analysis modeling approach, which is to establish the variable preprocessing model (VPM) and regression analysis model (RAM), by means of collecting the major Chinese container terminals data in the year of 2008.

• 한국항해항만학회지
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• 제39권2호
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• pp.115-123
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• 2015

This study focused on the alternative to estimate the demand of employment in Kenya logistics. First of all, it investigated the importance and necessity of search about the present circumstance of the country's industry. Next, it reviewed respectively the concept and limitation of several previous models for employment, including Bureau of Labor Statistics, USA; ROA, Netherlands; IER (Institute for Employment Research), UK; and IAB, Germany. In regard to the demand forecasting of employers in logistics, it could anticipate more realistically the future demand by the time-lag approach. According to the findings, if value of output record 733,080 KSH million in 2015 and 970,640 in 2020, compared to 655,222 in 2013, demand on wage employment in logistics industry would be reached up to 95,860 in 2015 and 104,329 in 2020, compared to about 89,600 in 2012. To conclude, this study showed the more rational numbers about the demand forecasting of employment than the previous researches and displayed the systematic approach to estimate industry manpower in logistics.

• 무역학회지
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• 제45권6호
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• pp.45-54
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• 2020

Occurrence of accidents at a container terminal results in casualties and damages of equipments which are involved in the accidents, and affects the terminal operation. Therefore, analyzing factors affecting occurrence of accidents at a container terminal is important for efficient operation of the terminal. Most of existing studies analyzing factors of accidents have performed in a land transportation field. And most of existing studies in a maritime field have focused on developing risk assessment methods, rather than identifying factors of accidents. This study aims to analyze the factors affecting the damage level which was resulted from accidents at a container terminal in Busan, Korea. After a basic statistical analysis of the accident dataset which was occurred in the terminal, a linear regression model is applied to identify the factors which affect the damage level resulted from the accident. As a result of analysis, it is found that the more number of equipments, facilities and containers damaged from the accidents positively affect the damage level from the accidents, as well as dozing during working. The results of this study are expected to be a basic for developing safety management.

• 해운물류연구
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• 제35권1호
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• pp.21-50
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• 2019

본 연구는 패널회귀분석을 활용하여 연안여객선 취항계획 특성분석을 수행하는 것을 목적으로 한다. 분석결과 GLS와 고정효과 분석결과 결항일수와 여객수송실적은 취항계획에 정의 영향을 끼치며 화물수송실적과 운임수입은 모형별로 상이한 것으로 나타났다. 또한 LSDV 및 OLS분석을 통해 지방청별로 군집을 이루는 경향을 확인하였다. 이는 지방청마다 여객선업체 및 선박의 잦은 변동이 존재하며 무조건적인 선박의 증편보다는 다양한 측면에서 심도있는 계획이 필요함을 나타낸다. 후속 연구에서는 항로별, 선종별로 나누고 세부적인 요인을 추가적으로 분석하여 보다 세밀하고 실무적인 결과를 도출해야할 필요성이 있다.