• Title/Summary/Keyword: 물류정보

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A Study on the Implementation of a Web-browser-based Global e-Navigation Service Discovery System for Decentralized Maritime Service Registries (탈중앙화 MSR 환경에서의 웹 브라우저 기반 글로벌 이내비게이션 서비스 검색 시스템 구현에 대한 연구)

  • Jinki, Jung;Young-Joong, Ahn
    • Journal of Navigation and Port Research
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    • v.46 no.6
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    • pp.501-508
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    • 2022
  • The flow of global digitalization is leading to the emergence of a decentralized system environment based on blockchain or distributed ledger technology in the fields of economy, identity authentication, and logistics. Accordingly, a requirement that public services be searchable from several decentralized maritime service registries (MSRs) has been derived in terms of the discoverability of e-navigation services. This study describes a decentralized MSR environment composed of the MSR ledger and multiple local MSRs, and it has implemented a service search system that can search global e-navigation services in the environment through a web browser. This system is a decentralized application that dynamically generates service attributes, geometry information, and free text queries, and that provides users with relevant MSR and service access information from search results that are registered in the MSR ledger. In this study, we tested the established decentralized MSR environment and the system that performs service search within that environment, and we discussed its advantages and limitations.

Manufacturing Data Aggregation System Design for Applying Supply Chain Optimization Technology (공급망 최적화 기술 적용을 위한 제조 데이터 수집 시스템)

  • Hwang, Jae-Yong;Shin, Seong-Yoon;Kang, Sun-Kyoung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.11
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    • pp.1525-1530
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    • 2021
  • By applying AI-based efficient inventory management and logistics optimization technology using the smart factory's production plan and manufacturing data, the company's productivity improvement and customer satisfaction can be expected to increase. In this paper, we proposed a system that collects data from the factory's production process, stores it in the cloud, and uses the manufacturing data stored there to apply AI-based supply chain optimization technology later. While the existing system supported approximately 10 to 20 data types, the proposed system is designed and developed to support more than 100 data types. In addition, in the case of the collection cycle, data can be collected 1-2 times per second, and data collection in TB units is possible. Therefore This system is designed to be applied to the existing factory of past in addition to the smart factory.

Software Industry and Patents : Legal Evolution and Economic Arguments (소프트웨어 산업과 특허: 법적 진화와 경제적 쟁점)

  • Hahn, Yoon-Hwan
    • Journal of Korea Society of Industrial Information Systems
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    • v.15 no.2
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    • pp.99-113
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    • 2010
  • Beyond the rapid normalization process of patents in software industry, complex legal evolution and rigorous economic arguments underlie the crucial environmental transformation of the industry. In this article, we trace the evolutionary history for the theory and practice of patents in software industry from both legal and economic perspectives. First, we study the legal disputes and cases in light with the underpinnings of patent policy transformation, and then delve into the economic backrounds of the pros and cons for software patents, with special focus on the generic economic peculiarities of software industry. The fact that historical and practical policy and law in Korea have been largely affected from those of USA, and relative deficiency in the law, economics and management literature are the main motivation of the study, and we hope this study to contribute to the decision making of policymakers as well as law and business practitioners.

Development strategies for production and distribution system of highland Chinese cabbage (고랭지배추 생산·유통체계의 발전전략)

  • Yang, J.H.;Kim, K.D.
    • Journal of Practical Agriculture & Fisheries Research
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    • v.14 no.1
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    • pp.23-45
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    • 2012
  • The objective of this study is to provide development strategies in the production and distribution system of highland Chinese cabbage by evaluating and analyzing problems of the current system, focusing on several main stages between production and distribution system of highland Chinese cabbage. Through interview of groups such as farmers, distributers in the main producing areas, commission merchants of the wholesale market and large-scale distributors the relavant information was collected. Also, data such as production situations in main producing areas, distribution conditions in the wholesale market was analyzed. The functions of highland Chinese cabbage were classified and the current state of highland Chinese cabbage distribution system was investigated to provide an overall insight into the highland Chinese cabbage distribution system. Also the factors which will affect a price of wholesale market and consumer of highland Chinese cabbage were examined. Finally problems and improvements in the production and distribution system through analysis of the distribution system of highland Chinese cabbage were provided. the main contents of this study are as follows. The first is to keep stability of production in main producing areas by applying a differentiated production method, for example, rainshelter cultivation method. The second is to establish the distribution system which the relevant information is opened transparently. The third is that the consistent cold transportation system from main producing areas to consumers must be built.

Artificial Intelligence Fulfillment Service Platform in Small Business Areas (소상공인 집적지에서의 인공지능 Fulfillment 서비스 Platform 연구)

  • Kim, Hyo-young;Park, Dea-woo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.219-221
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    • 2022
  • Seoul Metropolitan City, the world's top 10 cities and Metro City, has traditional urban manufacturing industries such as printing, sewing, and mechanical metals. These manufacturing industries have developed in the form of mutual assistance by forming small business clusters according to detailed industries and processes. Due to the nature of the cluster, logistics between companies for each process in the cluster are being carried out quickly, but it is difficult for relatively small small business owners to prepare order processing services for consumers of finished products. Therefore, it is urgent to introduce an integrated order fulfillment service platform for collective business owners for smooth order and delivery processing. In this paper, we collect and analyze the existing Fulfillment Service data of small business owners in the printing industry among traditional urban industries, and design an artificial intelligence Fulfillment Service Platform system applying CRNN, k-NN, and ID3 Decision Tree algorithm. Through this study, it is expected to greatly contribute to the increase in sales and capacity of small business owners by enabling the use of individual orders and customized delivery services that can be used by any small business owner in the cluster.

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A study on the Development of a Smart city Export HUB Platform based on Korea-ASEAN Public-Private Network (한-아세안 민관 네트워크기반의 스마트시티 수출을 위한 거점 HUB 플랫폼 개발에 관한 연구)

  • Kim, Dae Ill;Kim, Jeong Hyeon;Yeom, Chun Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.12
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    • pp.1908-1918
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    • 2022
  • Recently, ASEAN is not only a new production base but also a consumer market for Korea, and interest in the utilization of production networks in each region is increasing. In particular, urbanization in ASEAN countries is progressing at a relatively fast pace. Each country is promoting smart city projects combined with ICT to improve outdated basic infrastructure facilities such as housing, transportation, logistics, crime prevention, and disaster prevention. The purpose of this study is to develop a web-based smart city export HUB platform so that companies with excellent domestic smart city solutions can participate in smart city construction through networks with ASEAN countries. These platforms can secure the demand for smart city construction in ASEAN countries, and through the establishment of the Korea-ASEAN public-private network, smart cities planned in ASEAN countries can be promoted more innovative. In addition, it is expected to be positioned as a Global smart city platform model by applying to real cities through collaboration with excellent domestic companies.

A Mrthod on the Design of Sensor Network for the Surrounding Safety Using Drones (드론을 활용한 주변 안전을 위한 센서 네트워크 구성 방안)

  • Hong, Sung-Hwa
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.10a
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    • pp.667-669
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    • 2021
  • Recently, RFID/USN technology has been applied in various fields such as logistics, environment, education, home network, disaster prevention, military, and medical care, but despite the remarkable development of RFID/USN technology, it is difficult to apply it to marine industry due to the characteristics of poor marine environment. Therefore, satellites are mainly used in the marine sector, and existing communication networks are used in the coast, so measures for forming a shelf-only short-range network in the ocean are being considered. In this paper, we consider the use of drones as mobile base stations of USN as a base station role using USN in existing PS-LTE and LTE networks.Since autonomous navigation vessels are aiming for the intelligent system, the number of crew and labor force should be reduced and the function of autonomous network formation in the form of more stable and intelligent ICT convergence technology should be strengthened.

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Analysis of the Prediction of Operation Processes based on Mode of Operation for Ships: Applying Delphi method

  • HyeRi Park;JeongMin Kim
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.10
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    • pp.267-275
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    • 2023
  • The digital transformation of the shipbuilding, shipping, and logistics sectors is predicted to lead to the introduction of autonomous ships and changes in the way ships are operated. The co-existence of various operation forms, such as autonomous operation and remote operation, with the existing operation methods is expected to lead to the transformation of the ship operation process and the emergence of new stakeholders. This paper studies the future ship operation process according to the change in ship operation method, predicts the change in the operating environment of future ships, and derives functional requirements by major tasks and stakeholders. The Delphi technique is applied to construct a ship operation scenario from the planning stage of voyage and cargo transport to the stage of arrival at the final destination port and discharge of cargo, and to predict future work changes by task and actor. Seafarers' activities are expected to be minimised by remote and autonomous operation, and experts in each field are expected to have responsibilities and tasks in different aspects of ship operation.

Implementation of Smart Automatic Warehouse to Improve Space Utilization

  • Hwa-La Hur;Yeon-Ho Kuk;Myeong-Chul Park
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.10
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    • pp.171-178
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    • 2023
  • In this paper, we propose a smart automated warehouse to maximize space utilization. Previous elevator-type automatic warehouses were designed with a maximum payload of 100kg on trays, which has the problem of extremely limiting the number of pallets that can be loaded within the space. In this paper, we design a smart warehouse that can maximize space utilization with a maximum vertical stiffness of 300kg. As a result of the performance evaluation of the implemented warehouse, the maximum payload was 500.6kg, which satisfied the original design and requirements, the lifting speed was 0.5m/s, the operating noise of the device was 67.1dB, the receiving and forwarding time of the pallet was 36.92sec, the deflection amount was 4mm, and excellent performance was confirmed in all evaluation items. In addition, the PLC control method, which designs the control UI and control panel separately, was integrated into the PC system to improve interoperability and maintainability with various process management systems. In the future, we plan to develop it into a fully automatic smart warehouse by linking IoT sensor-based logistics robots.

Research on Artificial Intelligence Based Shipping Container Loading Safety Management System (인공지능 기반 컨테이너 적재 안전관리 시스템 연구)

  • Kim Sang Woo;Oh Se Yeong;Seo Yong Uk;Yeon Jeong Hum;Cho Hee Jeong;Youn Joosang
    • KIPS Transactions on Computer and Communication Systems
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    • v.12 no.9
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    • pp.273-282
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    • 2023
  • Recently, various technologies such as logistics automation and port operations automation with ICT technology are being developed to build smart ports. However, there is a lack of technology development for port safety and safety accident prevention. This paper proposes an AI-based shipping container loading safety management system for the prevention of safety accidents at container loading fields in ports. The system consists of an AI-based shipping container safety accident risk classification and storage function and a real-time safety accident monitoring function. The system monitors the accident risk at the site in real-time and can prevent container collapse accidents. The proposed system is developed as a prototype, and the system is ecaluated by direct application in a port.