Unlike civilian logistics systems, which primarily focus on efficiency, military logistics emphasizes operational stability. To achieve this, the establishment of a dedicated support system and balanced inventory management are essential. However, the current Army logistics system requires improvements in the support rate through the dedicated support framework. Although long-term improvement is possible through procurement process optimization, short-term enhancement is difficult due to the military’s annual procurement cycle. As a short-term improvement, inventory adjustment between supply points could be effective, but this strategy has not been fully utilized. This is due to the lack of recognition that, while inventory adjustment may increase costs in the short term, it contributes to improved logistics efficiency and stability in the long term. This study proposes a cost-minimizing plan that includes inventory adjustment between supply points in military logistics and aims to verify the effectiveness of inventory adjustment. To this end, a mathematical model for optimizing transportation planning was developed. Additionally, the effectiveness of inventory adjustment was demonstrated through a case study reflecting actual Army logistics conditions. The results of the study confirmed the positive effects of inventory adjustment. Inventory adjustment is expected to enhance the dedicated support rate and promote procurement process optimization, contributing to the advancement of the Army logistics system.

The development of Jinhae New Port is expected to have positive effects on the local economy and foster the regional port logistics industry. However, since most of the port-related industry companies are located in the old downtown areas of Busan, such as Yeongdo and Jungang-dong, the main focus of the port will still remain in the old downtown of Busan even after the opening of Jinhae New Port. This study conducted basic research to maximize the benefits of the Jinhae New Port opening by exploring ways to establish Gyeongnam and Changwon as port logistics hubs. The specific research objectives included identifying target port-related industries and companies for attraction, as well as presenting the justification and rationale for establishing Gyeongnam and Changwon as port logistics hubs. The results indicated that the supply industry, ship management industry, ship repair industry, and shipbuilding equipment industry are sectors that Gyeongnam and Changwon should focus on attracting. The necessity of establishing Gyeongnam and Changwon as port logistics hubs is presented based on: 1) local tax revenue from the operation of Busan New Port, and 2) regional balanced development and the construction of a megacity. Specific implementation measures suggested include: 1) renaming the port, 2) attracting port-related industries, 3) seizing key agendas for port advancement, 4) establishing a smart port task force for the coexistence of ports, universities, and cities, and 5) enhancing the attractiveness of port cities to prevent population outflow.

Background: Logistics service workers (LSWs) face significant occupational challenges, with ankle sprains being the second most prevalent work-related musculoskeletal disorder. Foot posture, assessed through the navicular drop test, can significantly influence dynamic balance performance, which is crucial for injury prevention in physically demanding occupational settings. Objects: This study aimed to investigate differences in dynamic balance performance among LSWs with pronated, supinated, and normal foot types using the Y-Balance test (YBT), comparing reach distances across anterior, posteromedial, and posterolateral directions. Methods: A total of 205 LSWs were classified into three groups based on navicular drop measurements: supinated (n = 44), normal (n = 94), and pronated (n = 67) foot types. The YBT was performed on the dominant leg, measuring reach distances in three directions. Participants’ demographic characteristics were recorded, and statistical analyses were conducted using one-way analysis of variance (ANOVA) with Bonferroni correction. Results: Significant differences in YBT performance were observed across all three directions (anterior: p = 0.009, posterolateral: p = 0.015, posteromedial: p = 0.014). The supinated and normal foot groups showed significantly greater reach distances compared to the pronated group (p < 0.026 for anterior direction). In the posterolateral direction, the supinated group demonstrated significantly better performance compared to the pronated group (p = 0.014). Similarly, the posteromedial direction revealed significantly higher reach distances for the supinated group compared to the pronated group (p = 0.012). Conclusion: The study reveals that foot type significantly impacts dynamic balance performance among LSWs. Workers with pronated feet demonstrate reduced balance capabilities, while those with supinated feet show the most superior dynamic balance performance.

This study proposes a mathematical model to optimize the fighter aircraft-weapon combinations for the ROKAF(Republic Of Korea Air Force). With the recent emergence of the population declining issue in Republic of Korea, there is an urgent need for efficient weapon system operations in light of decreasing military personnel. In order to solve these issues, we consider to reduce the workload of pilots and maintenance personnel by operating an optimal number of weapons instead of deploying all possible armaments for each aircraft type. To achieve this, various factors for optimizing the fighter-weapon combinations were identified and quantified. A model was then constructed using goal programming, with the objective functions based on the compatibility, CEP(Circular Error Probable), and fire range of the weapons, along with the planned wartime mission-specific weapon ratios for each aircraft type. The experimental result's analysis of the proposed model indicate a significant increase in mission performance efficiency compared to the existing system in both operational and maintenance aspects. We hope that our model will be reflected to help improve the operational capabilities of Republic of Korea Air Force.

Sustainable development is a critical global priority, as showed by United Nations' Sustainable Development Goals (SDGs). Effective logistics are crucial for achieving several SDGs so that improvements in Logistics Performance Index (LPI) often align with progress in SDG scores. For ASEAN countries, they may fall short of achieving 90% of their targeted SDGs and struggle to challenges of LPI fluctuations. By calculating the correlation between LPI and SDG scores in R software, this study seeks to explore the relationship between logistics performance and progress toward the SDGs in ASEAN countries from 64 secondary observations. As a result, the increasing logistics performance can greatly impact on the population well-being, accessibility, new energy approach, infrastructure formation, and sustainable production and consumption (G1, G3, G7, G9, G12) in ASEAN countries. The study contributes a background for national policymakers in the region to develop the sustainable logistics.

This study proposes a mathematical model to optimize the fighter aircraft-weapon combinations for the Republic of Korea Air Force. With the recent emergence of the population cliff issue due to declining birth rates in Korea, there is an urgent need for efficient weapon system operations in light of decreasing military personnel. This study aims to enhance operational environments and mission efficiency within the military. The objective is to reduce the workload of pilots and maintenance personnel by operating an optimal number of weapons instead of deploying all possible armaments for each aircraft type. To achieve this, various factors for optimizing the fighter-weapon combinations were identified and quantified. A model was then constructed using goal programming, with the objective functions based on the compatibility, Circular Error Probable (CEP), and fire range of the weapons, along with the planned wartime mission-specific weapon ratios for each aircraft type. Experimental analysis of the proposed model indicated a significant increase in mission performance efficiency compared to the existing system in both operational and maintenance aspects. It is hoped that this model will be applied in military settings.

The era of logistics 4.0 in which new technologies are applied to existing traditional logistics management has approached. It is developing based on the convergence between various technologies, and R&D are being conducted worldwide to build smart logistics by synchronizing various services with the logistics industry. Therefore, this study proposes a methodology and technology strategy that can achieve trend analysis using patent analysis and promote the development of the domestic smart logistics industry based on this. Based on the preceding research, eight key technology fields related to smart logistics were selected, and technology trends were derived through LDA techniques. After that, for the development of the domestic logistics industry, the strategy of the domestic smart logistics industry was derived based on analysis including technology capabilities. It proposed a growth plan in the field of big data and IoT in terms of artificial intelligence, autonomous vehicles, and marketability. This study confirmed smart logistics technologies by using LDA and quantitative indicators expressing the market and technology of patents in literature analysis-oriented research that mainly focused on trend analysis. It is expected that this method can also be applied to emerging logistics technologies in the future.

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.

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.