• Journal of the Korea Safety Management & Science
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• v.25 no.4
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• pp.141-151
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• 2023

Recently, due to the expansion of the logistics industry, demand for logistics automation equipment is increasing. The modern logistics industry is a high-tech industry that combines various technologies. In general, as various technologies are grafted, the complexity of the system increases, and the occurrence rate of defects and failures also increases. As such, it is time for a predictive maintenance model specialized for logistics automation equipment. In this paper, in order to secure the operational safety and reliability of the parcel loading system, a predictive maintenance platform was implemented based on the Naive Bayes-LSTM(Long Short Term Memory) model. The predictive maintenance platform presented in this paper works by collecting data and receiving data based on a RabbitMQ, loading data in an InMemory method using a Redis, and managing snapshot DB in real time. Also, in this paper, as a verification of the Naive Bayes-LSTM predictive maintenance platform, the function of measuring the time for data collection/storage/processing and determining outliers/normal values was confirmed. The predictive maintenance platform can contribute to securing reliability and safety by identifying potential failures and defects that may occur in the operation of the parcel loading system in the future.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.68
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• pp.23-42
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• 2015

According to the increasing attention to safety and security in maritime shipping, there are diverse security systems in international logistics activities. Although prior studies on maritime transport and port security reviewed security policy and practices in order to provide useful insights for strategic agenda, a few focused on attitude to respond it. Moreover, there are no prior study on a comparative study between continents. To tackle this, this paper compared confrontation attitude to maritime transport and port security between South Korea and European Union. Results identified that maritime shipping security incorporates container cargo security management, logistics security management, logistics security certificate system, and environmental impacts management caused by maritime shipping. Further, the comparison between two countries suggests that South Korea need to take more positive attitude to respond, such as investment in equipment and technologies for maritime shipping security, construction of comprehensive management system, political supports for logistics security, and training and education for safety and security. The results provide useful insights for strategic review of security systems in South Korea, and to help strategic agenda for future improvement.

• Journal of Navigation and Port Research
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• v.42 no.5
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• pp.347-356
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• 2018

The presence of the Fourth Industrial Revolution is omniscient, led by full force emergence of technologies that make biological, physical, and digital worlds borderless. All industries which jump on the bandwagon, can observe convergence and merging of bushiness happening within, between and across industries. As the shipping and port logistics industry is said to be in eye of this storm, the purpose of this study is to investigate the shipping and port logistics industry's awareness regarding 4th IR, as well to identify necessary countermeasures in responding to progression of this trend. Analytic Hierarchy Process (AHP) methodology was then used to compare the importance of four phases of countermeasures, reviewed by experts in the field. Results showed that countermeasures should be first orchestrated to the 'Merging and Integration of Inter-industry', then followed by 'P reemptive Introduction of Advanced Technology', 'Expansion of Intra-industry Businesses', and eventually 'Automation, Unmanned Technology'. Last but not least, four phases of countermeasures which should be introduced and executed one phase after another, are outlined for the shipping and port logistics industry to boost its competitiveness in addressing this progressive trend.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.2
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• pp.168-175
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• 2023

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.

• IE interfaces
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• v.11 no.1
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• pp.41-53
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• 1998

The Korean government has made efforts to establish ITS (Intelligent Transport System) strategic plans and to implement ITS. Commercial Vehicle Operation (CVO) has been developed in Korea as one of five subsystems in ITS and also in the context of Integrated Logistics Information Systems (ILIS). A low-level strategic plan of CVO is fixed on October, 1997, which has two subsystems and six major services. In this paper, services, requirements and information technologies for CVO are introduced as well as operational tests, deployment cases and cost-effectiveness.

• The KIPS Transactions:PartD
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• v.11D no.6
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• pp.1231-1238
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• 2004

By virtue of the advanced Internet technology, there are lots of research works for e-Logistics which means virtual business activities or service architecture based on the Internet among the logistics companies. Because e-Logistics environment requires more dynamic and global service area, conventional vehicle monitoring and control technologies innate many problems in terms of Integrating, storing and sharing the location data. It needs the development of the moving object technology in order to resolve efficiently the limitations. In this paper, we propose the whole components of the moving object management system which supports the advanced sharing the location information as well as the integration of location data. We are sure the suggested system can be adopted to construct the next generation-logistics vehicle monitoring and control system by reducing the overall cost and time.

• Proceedings of the KSR Conference
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• 2010.06a
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• pp.1596-1602
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• 2010

The government have plans to improve the railway transport capacity and transport hub for the sustainable national transport and logistics system. Specially, there are much efforts to improve transportation capacity such as high speed transportation of rail freight, enlargement of BT train, development of double stack train, etc. between railway transport hubs. If the transport capacity between railway logistics hubs is increased as planned, we must increase the handling capacity of railway hub terminals. But there are limits to enlarge the terminal infrastructure because of investment scale, location circumstances and urban development plans. To ensure the capacity, with the minimum required enlargement of infrastructure, it is necessary to extremely increase the efficiency of terminal operations. For improving the efficiency, we have to introduce the efficient terminal operation systems based on u-IT and operation optimize technologies. In this paper, we analyse the issues and problems of railway terminals(including ICD) and suggest the concept of intelligent railway terminal and the construction components of technology.

• Journal of information and communication convergence engineering
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• v.17 no.3
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• pp.198-204
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• 2019

In this study, the author introduces a supply-chain management (SCM) solution that connects suppliers, manufacturers, customers, and other companies within a transactional relationship to enable efficient inventory management and timely product supply, which ultimately maximizes corporate profits. This proposed solution exploits Fourth Industrial Revolution technologies, such as artificial intelligence (AI) and the Internet of Things (IoT), which provide solutions to complex management issues generated by the broader market. The goal of the current study was to develop an advanced and intelligent smart SCM solution that complies with logistics standards, to enhance the visibility, safety, and efficiency of a supply chain made up of manufacturers and suppliers. This smart SCM solution aims at maximizing corporate profits through efficient inventory management and timely supply of products, and solves the complex management problems caused by operating within a wide range of markets.

• Korea Trade Review
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• v.46 no.2
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• pp.1-18
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• 2021

Amid the growing importance and urgency of smartening in the Korean maritime logistics industry, this study conducted a survey on the status of Korea's maritime trade technology. Korea is on par with developed countries internationally, but in order to lead the digitalization of the future era, additional developments should be explored by reviewing current conditions. In particular, it is necessary to draw policy implications for smart shipping in Korea, which is a three-sided sea. This study derived technical implications by comparing the number of patent applications and the applicant for domestic and foreign patents related to the major technologies of the Fourth Industrial Revolution. In addition, it was intended to investigate and present the status of Korea's maritime trade technology through the analysis of smart shipping-related emotions and the analysis of positive and negative scores of companies related to sentiment analysis.