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.

In an automotive plant, an automated storage and retrieval system (ASRS) synchronizes material handling flows from a part production line to an auto-assembly line. The part production line transfers parts on small-/large-sized pallets. The products on pallets are temporarily stored on the ASRS, and the ASRS retrieves the products upon request from the auto-assembly line. Each ASRS aisle is equipped with narrow-/wide-width racks for two pallet sizes. An ASRS aisle with narrow-/wide-width racks improves both storage space utilization and crane utilization while requiring delicate ASRS aisle design, i.e., the locations of the narrow-/wide-width racks in an ASRS aisle, and proper operation policies affect the ASRS performance over demand fluctuations. We focus on operation policies involving a common storage zone using wide-width racks for two pallet sizes and a storage-retrieval job-change for a crane based on assembly-line batch size. We model a discrete-event simulation model and conduct extensive experiments to evaluate operation policies. The simulation results address the best ASRS aisle design and suggest the most effective operation policies for the aisle design.

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.

한국통합물류협회의 발표에 따르면, 2021년도 국내 총 택배 물량은 33억 7천만 개로 전년대비 7.59% 증가했고 매출액은 8조 5,800억 원으로 전년대비 14.6% 증가한 것으로 나타났으며 이러한 증가추세는 향후 지속될 것으로 전망된다. 이러한 택배 물량을 처리함에 있어 작업자는 대표적인 근골격계 부담작업에 노출되어 각종 근골격계 질환 유발 및 능률 저하가 갈수록 심화되고 있는 상황이다. 이에 따라 최신 통신네트워크 기술을 기반으로 하여 작업자와 자율주행 무인 운반차(Automated Guided Vehicle, AGV) 그리고 로봇의 협업을 지원하기 위한 기술개발에 대한 관심이 고조되고 있다. 본 연구에서는 LTE / 5G와 같은 최신 통신네트워크 환경 하에서 물류센터에서 자율주행하면서 택배의 상/하차 작업을 수행하는 Horizontal Scissor Lift를 갖는 AGV를 개발하고 택배 분류작업을 수행하는 로봇이 AGV와 협업을 가능하도록 하여 물류 집하 및 분배 작업이 통합된 물류 자동화 플랫폼을 구축한다. 본 물류 자동화 플랫폼은 자율 주행하면서 택배를 상/하차 하는 Scissor Lift-type AGV, 택배 분류를 위한 로봇, 다수의 AGV의 충돌을 방지하고 작업지시 및 작업상태 확인, 작업결과 피드백 등의 실시간 모니터링을 위한 관제 시스템 등으로 구성된다. 특히, 본 논문에서는 Horizontal Scissor Lift를 갖는 AGV의 구체적인 설계 및 해석결과를 제시하고, AGV 시제품에 대해 이동속도, 긴급 제동거리 및 위치정밀도에 대한 성능 평가를 수행함으로써 개발되는 AGV 시스템의 성능을 검증한다.

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.

Automated Guided Vehicle (AGV) is commonly used in manufacturing plant, warehouse, distribution center, and terminal. AGV is self-driven vehicle used to transport material between workstations in the shop floor without the help of an operator, and AGV includes a material transfer system located on the top and driving system at the bottom to move the vehicle as desired. For navigation, AGV mostly uses lane paths, signal paths or signal beacons. Various predominant sensors are also used in the AGV. However, in the conventional AGV, there is a problem of not turning or damaging nearby objects or AGV in a narrow space. In this paper, a new driving system is proposed to move the vehicle in a narrow space. In the proposed driving system, two sets of the combined steering-drive unit are adopted to solve the above problem. A prototype of AGV with the new driving system is developed for the comparative analysis with the conventional AGV. In addition, the experimental result shows the improved performance of the new driving system in the maximum speed, braking distance and positioning precision tests.

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.