When a fire breaks out in a distribution center, it causes a lot of damage. And the most casualties are caused by Fire accidents. Therefore, training for fire prevention should be mandatory at the distribution center. Also, the contents of education should be different in room temperature warehouses and low temperature warehouses. Fire education in low-temperature warehouses should be more emphasized. This is because many fires occur in low-temperature warehouses. In this study, a study was conducted to determine the important order of training hours and contents for fire prevention education according to the type of distribution center. The importance of time and content for safety education in all types of warehouses did not differ significantly. It was first decided that safety prevention training should be conducted periodically in all types of warehouses

ROK Navy Landing Ship Fast(LSF-II) is equipped with special equipment that is not compatible with other combat ships due to special missions. So there are almost no maintenance capabilities except for simple repair parts replacement and maintenance parts. The researcher determined that the way to solve these problems was to apply Performance Based Logistics (PBL), and reviewed the cases of PBL applications abroad and domestically. To confirm the current maintenance capability, we visited LSF-II operation unit to identify maintenance capabilities for each mounted equipment, and interviews with operators and maintenance practitioners confirmed the limitations of outsourcing maintenance and the need to apply PBL. In order to analyze the effect of PBL application, the measure of effectiveness and measure of performance were selected based on the opinions of LSF-II operation/maintenance practitioners and PBL experts and the practical experience of this researcher. A survey was conducted on operation/maintenance practitioners and professional personnel. Based on the survey results, the effect of applying PBL was analyzed using the AHP technique, and an efficient PBL application plan was proposed for LSF-II.

Industrial complexes are areas where manufacturing companies are integrated, and logistics between tenant companies play a very important role, but idle resources can occur depending on the situation if each company operates independently. Accordingly, this study aimed to reduce overall logistics costs and increase corporate productivity by looking at ways to share and utilize logistics resources such as warehouses and transportation equipment to efficiently utilize logistics resources in industrial complexes and implementing a logistics sharing platform that can share these idle resources. To this end, this study conducted a research survey on the logistics status of manufacturing companies in Ulsan-Mipo Industrial Complex, based on this analysis, the necessity of logistics resource types and utilization of industrial complex resident companies, and based on this, a service model for logistics resource sharing was studied. In addition, it was intended to analyze the operational characteristics of the existing logistics system to derive improvements and to derive optimal measures to utilize information on shared idle resources. This study confirmed the importance of sharing and utilizing idle resources to optimize logistics resources in industrial complexes, and is expected to contribute to reducing logistics costs and increasing logistics efficiency of tenant companies.

In the era of the 4th Industrial Revolution, Logistic 4.0 using data-based technologies such as IoT, Bigdata, and AI is a keystone to logistics intelligence. In particular, the AI technology such as prognostics and health management for the maintenance of logistics facilities is being in the spotlight. In order to ensure the reliability of the facilities, Time-Based Maintenance (TBM) can be performed in every certain period of time, but this causes excessive maintenance costs and has limitations in preventing sudden failures and accidents. On the other hand, the predictive maintenance using AI fault diagnosis model can do not only overcome the limitation of TBM by automatically detecting abnormalities in logistics facilities, but also offer more advantages by predicting future failures and allowing proactive measures to ensure stable and reliable system management. In order to train and predict with AI machine learning model, data needs to be collected, processed, and analyzed. In this study, we have develop a system that utilizes an AI detection model that can detect abnormalities of logistics rotational equipment and diagnose their fault types. In the discussion, we will explain the entire experimental processes : experimental design, data collection procedure, signal processing methods, feature analysis methods, and the model development.

Many manufacturers applying third party logistics (3PLs) have some challenges to increase their logistics efficiency. This study introduces an effort to estimate the weight of the delivery trucks provided by 3PL providers, which allows the manufacturer to package and load products in trailers in advance to reduce delivery time. The accuracy of the weigh estimation is more important due to the total weight regulation. This study uses not only the data from the company but also many general prediction variables such as weather, oil prices and population of destinations. In addition, operational statistics variables are developed to indicate the availabilities of the trucks in a specific weight category for each 3PL provider. The prediction model using XGBoost regressor and permutation feature importance method provides highly acceptable performance with MAPE of 2.785% and shows the effectiveness of the developed operational statistics variables.

From 1970 to 1990, North Korea’s trade mainly carried out maritime trade through ports for countries around the world. This trend is due to UN sanctions against North Korea, and after the third nuclear test in 2016, North Korea gradually became isolated from the outside world as it expanded to include maritime sanctions in the form of comprehensive sanctions targeting an unspecified majority of North Korea. The logistics structure of North Korea is due to the logistics infrastructure left during the Japanese colonial period in the 1950s and the political structure of the country, with railroads being the main source of logistics and passenger transportation, and roads being secondary. North Korea faced rapid deterioration and lack of facilities after 1990 due to the lack of investment in facilities and improvement of the operating system despite the advanced logistics infrastructure and operating system compared to the South. In particular, the power shortage in North Korea hindered the operation of the railroad and accelerated the aging of the railroad facilities, which has continued to this day. In the 2010s, 96% of cargo transportation in North Korea’s logistics infrastructure depended on railroads and roads, and ports that were developed until the 1980s have deteriorated with little investment since the economic crisis of the 1990s. Although some ports have been developed since 2010, North Korea’s east and west coasts are separated and there is no function of shipping to connect ports, so it did not have a significant impact on enhancing the nation’s port capacity. As North Korea’s trade dependence on China has increased, North Korea has largely relied on land transport, except for some cargoes that are advantageous for marine transport, such as coal. This structure again leads to a decrease in investment in ports, and the current vicious cycle of causing problems with North Korean port facilities is repeated. In this study, North Korea’s land and marine trade logistics system such as railway, road, and shipping and the trend of foreign trade due to sanctions against North Korea were analyzed. Through this analysis, it is planned to be used as a basis for developing the routes and scenarios through which major nuclear items can be transferred in the event of denuclearization of North Korea in the future.

The growth of the online market is accelerating due to the development of technology and the pandemic era. The delivery service through the courier must be used to deliver the ordered goods to the customer through the online market. With the growth of the online market, the logistics market for delivery is also growing. The traffic and environmental problems are emerging as social issues. Urban logistics technology using underground space based on the urban railway developed to improve logistics efficiency in a metropolitan area and a new alternative to environmental problems. This study proposed a plan to secure system safety through safety analysis based on operational concept definition and scenario analysis by applying model-based perspective analysis to the system under development.

농촌 종점 물류는 농촌 주민들의 온라인 쇼핑에 영향을 주는 중요한 요인임. 농촌 인터넷 쇼핑의 서비스 품질은 양호한 종점 물류 배송과 지원이 필요함. 농촌 이커머스의 발전에 의 하여 농촌 주민들이 서비스의 품질에 대한 기대치도 높아지고 있음. 본 연구에서는 이커머스 만족도를 통한 농촌 종점 물류 서비스 품질이 농촌 주민의 온라인 구매행위에 어떠한 영향 미치는지 검토하고, 농촌 종점 물류 서비스의 발전을 위한 개 선 및 발전전략을 제시하였음. 본 연구에서는 구조방정식모델 (SEM)과 온충린의 매개효과 테스트를 적용하여 분석하였음. 1. 신뢰성과 서비스 편의성은 만족도에 긍정적 영향을 미치며, 원가절약은 만족도에 부정적 영향을 미침. 2. 만족도는 인터넷 쇼핑에 긍정적인 영향을 미치는 것으로 나타났음. 3. 만족도는 반응성과 구매행위 사이에 매개효과가 있고 경제와 구매행위 사이에도 매개효과가 있는 것으로 나타났음.

Recently Korea and China’s logistics industry developed rapidly. Because two countries’ industry have complementarity, there are broad basis and area for cooperation between China and Korea. This study compares and analyzes the logistics development trends and competitiveness of two countries, and suggests mutual win-win logistics cooperation between the two countries based on macro cooperation of government and micro cooperation of enterprises. This is important for the two countries to participate in the global supply chain system, promote regional cooperation in Northeast Asia, and enhance the efficiency and competitiveness of the logistics industry.

Logistics standardization not only stands for logistics industry competitiveness, but also it is core competitive power. And Logistics industry makes smooth the exchange of goods, service and information in improving economic efficiency. Logistics cooperation between Korea and China becomes important issue because it has strategic meaning for two countries’ benefit. Korea and China should reform logistics standardization and cooperate each other. This study based on analysing the China’s logistics standardization policy, and comparison of ywo countries’ logistics standardization, explored the alternatives of its cooperation between Korea and China in the new perspective.

경제성장이 고도화되면 일반적으로 산업구조는 제조업에서 서비스산업으로 변화한다. 한국의 각 산업별 노동시장을 살펴보면 이런 현상이 명확히 나타나고 있다. 특히 무역의존도가 높은 한국산업에서 물류산업의 중요성이 부각되고 있다. 물류산업의 노동시장에서 대졸여부에 따른 임금격차가 존재하고 심화되고 있다는 것이 통계자료로 확인되었다. 이것은 동산업의 노동시장이 학력에 따라 분절되었다는 것을 의미한다. 인적자본론을 적용하여 고졸이하를 인적자본이 없는 저학력 노동으로, 대졸이상을 인적자본이 체화된 고학력노동으로 구분하여 독립 생산요소로 설정하였다. 이런 전제하에 3요소(자본, 저학력 노동자, 고학력 노동자) 콥-다글라스 생산함수를 상정하고, 외생변수로 산출량, 세계화와 중립적 기술진보를 포함한 학력별 노동수요 추정식을 유도하여 결정요인분석을 시행하였다. 추정결과 물류산업에서는 생산요소의 상대가격(, , )과 같은 노동시장의 내적요인이 저학력노동수요와 고학력노동수요에 영향을 미치지 못하였다. 반면 산출량, 세계화와 기술진보와 같은 물류산업의 외생적 변화가 물류산업의 학력별 노동시장에 유의미하게 영향을 미치는 것으로 나타났다. 즉 산출량변화에 대해 저학력노동수요가 고학력노동수요보다 더 탄력적으로 영향을 미친다. 세계화 진전은 고학력노동수요의 증가로 나타났고 기술진보는 저학력노동수요의 감소와 고학력노동수요의 증가에 영향을 친 것으로 나타났다. 이와 같은 추정결과를 바탕으로 다음과 같은 정책적 대안을 마련할 수 있다. 첫째 경기변동에 따라 저학력노동수요 변화가 더 심하기 때문에 저학력 노동의 고용안정 정책이 필요하다. 둘째, 기술진보는 생산성을 향상시켜 총생산량을 높이지만 물류산업 노동시장에서는 저학력 노동수요의 감소로 실업이 발생할 수 있기 때문에 이것에 대비한 노동정책이 필요하다. 셋째, 세계화의 진전은 고학력노동수요의 증가를 유발하므로 물류산업에 필요한 인재양성정책이 필요하다.

With the advent of the 4.0 era of logistics due to the Fourth Industrial Revolution, infrastructures have been built to receive the same services online and offline. Logistics services affected by logistics 4.0 and IT technology are rapidly changing. Logistics services are developing using technologies such as big data, artificial intelligence, blockchain, Internet of things, and augmented reality. The convergence of logistics services and various IT new technologies is accelerating, and the development of data management solution technology has led to the emergence of electronic cargo waybill to replace paper cargo waybill. The electronic waybill was developed to supplement paper waybill that lack economical and safety. However, the electronic waybill that appeared to complement the paper waybill are also in need of complementation in terms of efficiency and reliability. New research is needed to ensure that electronic cargo waybill gain the trust of users and are actively utilized. To solve this problem, electronic cargo waybill that combine blockchain technology are being developed. This study aims to improve the reliability, operational efficiency and safety of blockchain electronic cargo waybill. The purpose of this study is to analyze the blockchain-based electronic cargo waybill system and to derive evaluation indicators for system supplementation.

In general, companies operate systematically in response to financial risks such as exchange rates and liquidity, while they are vulnerable to risks in the manufacturing and sales processes. In particular, logistics refers to the activities for planning, managing and implementing efficient flows from the starting point of goods and products to the point of consumption, The purpose of this study was to develop key risks and key risk management indicators (KRIs) for risks that undermine logistics efficiency so that logistics risks can be effectively prevented and managed. As a result, 40 risk management indicators (KRIs) were developed in a total of six categories in the logistics sector, and the definition, calculation method and early warning grade of each KRI were presented so that companies could prevent risks in advance in logistics activities and contribute to enhancing efficiency of their work.

In this study, to improve the logistics flow of existing given chemical logistics warehouse, four logistics flow alternatives were proposed to minimize truck interference by building simulation model. The simulation model for chemical storage warehouse was built to evaluate system performance. Among the four new improved alternatives based on the basic model, the model with the same truck’s pathways and locations of facilities identified an increase in the number of interferences but a decrease in daily working hours as the number of resources in a particular facility increases. Therefore, the three groups were classified as ‘efficiency’, ‘complementary’, and ‘safety’ based on the daily working hours, and the ratio of trucks entering two types of logistics warehouse was set in consideration of future market fluctuations. For each of the six types, the optimal number of resources was selected as the number of resources in the facilities with the least number of interferences in the basic model and the evaluation measures and characteristics set in this study were compared and analyzed. As a result, the Alternative 4 model operating the underground roadway produced interference between 17.0% and 36.4% of the basic model, with 113.3% of the interior loadspace.

A forklift accident occurs in the logisitcs center. there are many kinds of accidents such as a casualty accident or a minor accident, etc. there are many other causes of accident, including poor　visibility and habitual operational mistakes The result of the accident is the phenomenon of cutting, falling,　scratching of the product. In the case of minor accidents, workers do not report accidents, so the occurrence of accidents is unknown. The customer receives the goods and then notifies them that they are defective product. After the product is returned, we can see that the forklift accident caused the problem of the product The result of the late response affects the image of the enterprise. In this study, we recognized the need for safety education to prevent accidents and found out which of the education items could raise awareness of safety. As result of the study, disinfection and forklift maneuverability regarding speed were mentioned as the most important items in education.