• 유통과학연구
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• 제5권1호
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• pp.57-73
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• 2007

농산품의 물류관리 정보시스템의 최적화로 물류 정보수준에 따른 성과를 실증 분석하여 물류관리의 효율성과 효과성을 높이는 측면에서 개선방안을 제시하여 물류효율성을 향상시키는데 본 연구의 목적이 있다. 본 연구의 분석방향은 첫째, 조직특성 및 조직전략에 따라 정보기술수준은 물류성과에 영향을 미칠 것인지를 분석하였다. 물류성과는 고객물류서비스 향상과 판매물류비용절감으로 나누어서 측정을 하였다. 둘째, 물류정보시스템 활용수준과 정보기술은 직접적으로 물류성과에 어떠한 영향을 미치고 있는가를 분석하였다. 연구 결과에 의하면, 농산품 물류정보시스템 도입을 물류기업의 경쟁력 강화요인으로 인식하는 기업들은 비교적 물류정보기술 활용수준이 높았고 물류 정보시스템이 농산품 물류서비스 향상과 물류비 관리의 통합망을 구축하는 링크관리를 실시함으로서 농산품 물류 효율성을 높이고 있었다. 그러므로 농산품 물류기업의 물류경쟁력을 높이기 위하여 물류정보기술수준을 높여야 하고 농산품업체의 물류관리와 관련된 의사결정자의 정보마인드가 필요하고 물류업무의 표준화, 정보시스템의 구축전문 인력의 양성과 함께 물류교육이 뒷받침되어야 할 것이다.

• 수산해양교육연구
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• 제21권1호
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• pp.96-105
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• 2009

Recently, the logistics companies are constructing distribution market for logistics service in hinterland which is convenient for management and activity of logistics. Since the expansion of hinterland has physical constraints and related to the adjacent cities, it is vital to select value added types of logistics in the business. This study determines the priority of logistics business types in the hinterland of Busan's new port using DHP, and also it suggests future types of logistics business by comparing result of study with the enterprises located in the hinterland. As a result, the inter-modal transport business has higher weight than the storage business. The distribution manufacturing business also has relatively high weight. Therefore, the inter-modal business and storage business need to keep a present status in hinterland, and the distribution manufacturing business should consolidate the role.

• 유통과학연구
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• 제22권9호
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• pp.65-72
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• 2024

Purpose: This study aims to empirically analyze the influence of supply chain agility and flexibility on supply chain robustness and logistics performance, addressing a research gap in the context of dynamic business environments. Research design, data and methodology: The study examines causal relationships between supply chain agility, flexibility, robustness, and logistics performance among businesses in South Korea. Data were collected through a survey of 300 workers in supply chain-related departments. A structural equation model was employed for hypothesis testing. Results: The empirical analysis shows that supply chain agility and flexibility positively and significantly influence supply chain robustness, which in turn has a significant positive impact on logistics performance. Conclusions: This study contributes by providing empirical evidence on the importance of supply chain agility, flexibility, and robustness in enhancing logistics performance. The findings suggest prioritizing the development of these capabilities for competitive advantage. Further research on the interrelationships between various supply chain capabilities and their impact on performance outcomes is highlighted.

• 유통과학연구
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• 제12권2호
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• pp.95-103
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• 2014

Purpose - Korea has a better geographical location than other nations in the Northeast Asian region. This means that Korea has an opportunity to become the center of international physical distribution in Northeast Asia. Korea should take advantage of this opportunity by exploring appropriate strategies to achieve this goal, assuming government willingness, with a view to capitalizing on the geographical advantage of the Korean peninsula and constructing a comprehensive physical distribution network system. If we prepare for this scenario, Korea could become the center of international physical distribution in Northeast Asia. Research design, data, and methodology - This study has the purpose of determining how shipping companies form partnerships with third-party logistics providers, and the relevant implications. The survey methods used were personal interview and a questionnaire distributed through e-mail, fax, mail, and telephone. A total of 600 questionnaires were distributed, out of which 285 were returned. Of the collected questionnaires, 10 were excluded because of insufficient content, leaving 275 to be used in the study as available valid samples. The data that was collected from these samples was analyzed using the data coating process and by employing a statistical package program. Results - Flexible policies, administration, and systems will be needed to create better business practices. In this dissertation, first and foremost, the results reveal that in order to become the center of Northeast Asian logistics, Korea must transition into a new paradigm based on the current economic and social systems that have stemmed from bureaucracy, inflexibility, chauvinism, and egalitarianism. Flexible policies, administration, and systems will be required to create better business practices. Domestic logistics corporations need to occupy a strategic logistics hub, create a logistics network, and activate value-added logistics business strategies by ensuring significant manpower and by building a logistics information system to strengthen their competitive edge, creating an improved system. Conclusions - In this dissertation, first and foremost, we point out that in order to become a center of North East Logistics, Korea should change to a new paradigm from the old one based on current economic and social systems that have stemmed from bureaucracy, inflexibility, chauvinism, and egalitarianism. More reasonable business laws, systems, and policies based on market-driven flexibility and transparency should be created. Moreover, social norms and rules should be reasonably established, to accomplish political and social security. Korea has to cultivate a culture of tolerance for foreign companies. This involves a change of paradigm for the development of the capital city and satellite cities. It will take a powerful task force or organization to plan and execute the vision that aims to meet these needs, accomplish the necessary goals, use the appropriate system effectively, and make Korea a key country in the field of Northeast Asian logistics.

• 물류혁신 컨퍼런스
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• 제12권2호
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• pp.61-96
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• 2004

• 산업경영시스템학회지
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• 제47권2호
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• pp.155-167
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• 2024

Distribution and logistics industries contribute some of the biggest GDP(gross domestic product) in South Korea and the number of related companies are quarter of the total number of industries in the country. The number of retail tech companies are quickly increased due to the acceleration of the online and untact shopping trend. Furthermore, major distribution and logistics companies try to achieve integrated data management with the fulfillment process. In contrast, small and medium distribution companies still lack of the capacity and ability to develop digital innovation and smartization. Therefore, in this paper, a deep learning-based demand forecasting & recommendation model is proposed to improve business competitiveness. The proposed model is developed based on real sales transaction data to predict future demand for each product. The proposed model consists of six deep learning models, which are MLP(multi-layers perception), CNN(convolution neural network), RNN(recurrent neural network), LSTM(long short term memory), Conv1D-BiLSTM(convolution-long short term memory) for demand forecasting and collaborative filtering for the recommendation. Each model provides the best prediction result for each product and recommendation model can recommend best sales product among companies own sales list as well as competitor's item list. The proposed demand forecasting model is expected to improve the competitiveness of the small and medium-sized distribution and logistics industry.

• 유통과학연구
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• 제14권3호
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• pp.23-30
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• 2016

Purpose - This research focuses on the analysis of logistics barriers in Korea, China and Japan facing the barriers of overseas-expanded manufacturers with other countries. With the tree countries are emerging as the biggest trade partners in Northeast Asia, their logistics barriers are applied with similar verification methods of preceding researches such as Carter(1997). Research design, data and methodology - Collecting the statistics data from the three countries' overseas-expanded manufacturers, t-verification was performed in order to analyze average value and verify any significance. Additionally, multiple regression analysis was used to analyze any influence on the relationship in Korean logistics barrier and Chinese and Japanese expansion to Korean market. Results - Statistics suggested that three countries' logistics barriers are significantly differentiated by each verification categories, and Korean barrier negatively affected Chinese and Japanese manufacturers coming into Korean market. Conclusions - As a result of multiple regression analysis of the influencing relationship between Korea's logistics barrier and Chinese and Japanese companies coming into Korean market, all of the Korean barriers are affecting the companies as an obstructive factor, and it is proved to be statistically meaningful. Therefore, in order to reduce Chinese and Japanese companies' cost burden, it is necessary that not only reasonable charge system and taxation support but also comprehensive measure establishment reduce Korea's logistics barriers. However, since this research has a limitation in samples and shows a period of 5 years in the three nations' trade barriers, continuous and complementary researches are necessary in order to develop certain objectivity.