Trend Analysis on Korea’s National R&amp;amp;D in Logistics

Jeong, Jae Yun; Cho, Gyu-Sung; Yoon, Joong-Han

doi:10.26748/ksoe.2020.058

Cited by 3 publications

(3 citation statements)

References 9 publications

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“…In the '5th National Logistics Basic Plan', Korea presented six strategies under the vision of 'Leap as a global logistics leader through smart logistics industry, digital innovative growth and creation of a sustainable ecosystem'. The main contents are to promote the digitalization of the logistics system through the advancement of delivery equipment, such as robots, the innovation of the urban logistics system such as the digital underground logistics system, and the preparation of the foundation for autonomous cargo transportation, and to build an integrated platform for the accumulation, management, processing, and provision of logistics information; they are promoting a logistics information platform to disseminate 'National Logistics Map' through the establishment of national logistics big data [22].…”

Section: Country Level Logistics Industry Technology Roadmapmentioning

confidence: 99%

“…CJ Logistics, a representative logistics company in Korea, defines TES-Technology, Engineering, and System/Solutions as its core competencies and is actively introducing digital technologies such as robot-based unmanned warehouses [21]. At the national level, logistics innovation is supported by developing policies to support the spread of digital technologies to strengthen the competitiveness of logistics companies and by establishing a roadmap for related technology development [22].…”

Section: Introductionmentioning

confidence: 99%

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Logistics Technology Forecasting Framework Using Patent Analysis for Technology Roadmap

et al. 2022

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The rapid advancement of digital technologies has fundamentally changed the competitive dynamics of the logistics industry. For players in the logistics industry, digitization has become an unavoidable situation to achieve survival and sustainable competitiveness. A technology strategy is essential for digitization, and identifying opportunities and threats of technology development through technology trend exploration is important for technology strategy. In addition, to enable the implementation of the technology strategy, it is necessary to detect the change in technology and search for the technology that is expected to have a practical development effect. The purpose of this study is to identify opportunities and areas for technology development through patent data in establishing technology strategies. Previous research mainly relied on the expert interview method, and there was also a patent analysis study based on topic modeling, but only to grasp technology trends. This paper aims to propose a new framework for the extension to the stage for establishing a technology roadmap. By using the Word2Vec algorithm, we will investigate the patent search formula that reflects the trend, the prediction of changes in logistics technology through LDA (Latent Dirichlet Allocation) clustering of patent data, and the derivation of vacant technology by experimental methods. The proposed framework is expected to be utilized for predicting technological change and deriving promising technologies for establishing technology roadmaps in logistics companies.

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Section: Country Level Logistics Industry Technology Roadmapmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Logistics Technology Forecasting Framework Using Patent Analysis for Technology Roadmap

et al. 2022

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“…The ownership change stage is a unique stage based on the supply chain security agreement, and it is also the most important link, because it involves the update of the important secret information of the label. Read access control is mainly composed of some security protocols [19,20]. Compared with physical methods, security protocols based on cryptography are more flexible in the application process.…”

Section: Related Workmentioning

confidence: 99%

Design and Implementation of a Low‐Cost Universal RFID Wireless Logistics Terminal in the Process of Logistics Traceability

Wang

2021

Journal of Sensors

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The logistics traceability system can cover the whole process of the product from the source of production to the consumption cycle. By distinguishing the key nodes of the product in the logistics sales process, the data information of the production and storage of the corresponding product is collected and entered at the corresponding node, so that the entire process is visible and controllable. On the basis of determining the overall system plan, this paper designs and develops the UHF RFID reader system and traceability system platform. In terms of the reader system, by analyzing its core functions and performance index requirements, the overall design scheme and frame structure of the reader system’s software and hardware are determined. The main control circuit is based on the STM32F103RET6 single-chip microcomputer; the RF transceiver circuit is based on the MagicRF M100. Simultaneously, we design a variety of communication circuits including LoRa and RJ45 to facilitate wireless communication with the traceability platform. In terms of software, through the research and analysis of the EPC Class-1 Generation-2 protocol standard, the multitag anticollision algorithm—Q algorithm—is adopted. This algorithm has the advantages of high recognition efficiency and a large number of successfully recognized tags per unit time. According to the design plan, the system is wirelessly networked in the B/S mode and the product information collected through RFID technology is transmitted to the management level to dynamically understand the information dynamics of logistics in real time. Using radio frequency, computer network, communication, and other technologies, the hardware and software systems of the system are integrated. The performance indicators of the hardware system are tested through experiments, and the design indicators are compared to prove the feasibility of the equipment application. After setting up the local area network and configuring the server configuration, the traceability system was accessed and the verification of the basic functions of the system was completed. The test results show that the low-cost universal RFID wireless logistics terminal has high accuracy and real-time performance in the process of logistics traceability.

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Development of a Machine Learning-Based Framework for Predicting Vessel Size Based on Container Capacity

Chatterjee

Cho

2022

Applied Sciences

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Ports are important hubs in logistics and supply chain systems, where the majority of the available data is still not being fully exploited. Container throughput is the amount of work done by the TEU and the ability to handle containers at a minimal cost. This capacity of container throughput is the most important part of the scale of services, which is a crucial factor in selecting port terminals. At the port container terminal, it is necessary to allocate an appropriate number of available quay cranes to the berth before container ships arrive at the port container terminal. Predicting the size of a ship is especially important for calculating the number of quay cranes that should be allocated to ships that will eventually dock at the port terminal. Machine learning techniques are flexible tools for utilizing and unlocking the value of the data. In this paper, we used neighborhood component analysis as a tool for feature selection and state-of-the-art machine learning algorithms for multiclass classification. The paper proposes a novel two-stage approach for estimating and predicting vessel size based on container capacity. Our proposed approach revealed seven unique features of port data, which are the essential parameters for the identification of the vessel size. We obtained the highest average classification accuracy of 97.6% with the linear support vector machine classifier. This study paves a new direction for research in port logistics incorporating machine learning.

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Trend Analysis on Korea’s National R&D in Logistics

Cited by 3 publications

References 9 publications

Logistics Technology Forecasting Framework Using Patent Analysis for Technology Roadmap

Logistics Technology Forecasting Framework Using Patent Analysis for Technology Roadmap

Design and Implementation of a Low‐Cost Universal RFID Wireless Logistics Terminal in the Process of Logistics Traceability

Development of a Machine Learning-Based Framework for Predicting Vessel Size Based on Container Capacity

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