• Journal of information and communication convergence engineering
• /
• 제17권3호
• /
• pp.198-204
• /
• 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.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제1권1호
• /
• pp.33-51
• /
• 2007

There are two newly emerging research issues in the enterprise information systems literature. One is the scalability issue for rapidly increasing choreographic volumes between interrelated organizations. The other is the business intelligence issue for traceable and monitorable business processes and services interchanging e-Business data and applications across organizations. Based upon these emerging issues, through a functional extension of the ebXML technology we have developed a process-driven e- Business service integration (BSI) system, which is named ‘e-Lollapalooza’. It consists of three major components ? the Choreography Modeler coping with the processdriven collaboration issue, the Runtime & Monitoring Client for coping with the business intelligence issue and the EJB-based BSI Engine coping with the scalability issue. This paper particularly focuses on the e-Lollapalooza’s development aspects for supporting the ebXML-based choreography and orchestration among the engaged organizations in a process-driven multiparty collaboration for e-Logistics and e- Commerce services. Here, it is fully deployed in an EJB-based middleware computing environment for e-Logistics process automation and B2B choreography.

• 대한안전경영과학회지
• /
• 제17권4호
• /
• pp.275-286
• /
• 2015

Global interests in RFID are increased and Korean government and companies make an active effort to propagate and spread RFID. Due to the overwhelming advantages of RFID system in comparison with existing bar code system, ripple effects on logistics sector among the utilizing fields of RFID technology are expected to be great, but application of RFID system is lowly progressed unlike the expectation of several experts. Therefore, this research extracts precedent studies on theoretical background, applying fields, promotion condition and domestic/foreign parts of RFID system, factors for operating domestic RFID system and effects and considers the effects of RFID's external variables on easiness and effectiveness of TAM. It confirms the relations of RFID applying effects for companies applying and utilizing RFID and verifies the relations among the effects for application of RFID system, accepting intention of RFID system and applying effects. Based on the results of analysis, it should play a role of good guide for all of companies and institution who will introduce RFID system to all of Korean logistics fields, make policies and systems which promote RFID acceptance nationally and socially and play a role of guide making confident climate for RFID technolog

• 산업경영시스템학회지
• /
• 제46권2호
• /
• pp.168-175
• /
• 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.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제18권8호
• /
• pp.2399-2416
• /
• 2024

The current automotive industry is transitioning from Internal Combustion Engine (ICE) vehicles to Electric Vehicles (EVs), adopting a mixed assembly production approach to respond to fluctuating demand. While mixed assembly production offers the advantages of lower investment costs and flexibility in responding to changing demands, the supply of EV components requires more extensive provisioning compared to ICE vehicle components, potentially leading to unexpected issues such as congestion of transport vehicles. This study proposes a digital twin system architecture that uses Discrete Event Simulation (DES) and Business Intelligence (BI) tools to specifically address logistics challenges. The proposed architecture facilitates real-time, data-driven decision making across three layers; Data source, Simulation, and BI. It was implemented in factories engaged in the mixed assembly production of ICE and EV vehicles. The simulation challenges involve a tier 1 vendor supplying parts to Korean automobile manufacturers that produce both ICE and EV parts. A total of 240 scenarios were created to run the simulations. The deployment of the proposed architecture demonstrates its capability to quickly respond to diverse experimental situations and promptly identify potential issues.

• 디지털융복합연구
• /
• 제15권3호
• /
• pp.157-163
• /
• 2017

항만 물동량 예측은 항만관리 기관의 투자계획에 매우 중요한 요소이다. 더불어 최근 항만은 물동량 유치를 위한 치열한 경쟁을 이어가고 있기 때문에 항만 정책수립에 있어 국내외 주요국의 물동량 예측은 중요한 의미를 갖는다. 항만 물동량 예측이 항만의 개발정책에 매우 중요하지만 최적의 물동량 예측 모델 개발에는 아직 어려움을 겪고 있다. 이러한 측면에서 본 연구는 중국 컨테이너 물동량 예측모델 제시를 연구의 목적으로 하였다. 중국 컨테이너 물동량 예측은 Clarkson's Shipping Intelligence Network를 통해 수집한 2004년 1월부터 2015년 12월까지 12년간의 월간 데이터를 System Dynamics를 사용하여 2004년부터 2020년까지 변화를 시뮬레이션 하였다. 실제 중국 컨테이너 물동량 데이터와 Stock-flow 다이어그램을 통해 도출된 예측값을 비교하여 모델의 정확도를 검증했다. 검증결과 수 출입 컨테이너 예측모델은 MAPE값이 각각 6.21 %, 7.68 %로 나타나 정확한 예측모델로 확인되었다.

• 산업공학
• /
• 제20권2호
• /
• pp.162-176
• /
• 2007

As facing the rapid advance of information technologies, the postal service is required to have capabilities of real-time logistics characterized by collaboration, ubiquity and intelligence which are necessary to the organizational management. In this study we discuss the design of the next generation information system based on real-time enterprise strategy to achieve real-time integrity and upgrade of postal information system. After briefly addressing the issues on developing information system and current situation, we provide the design direction and the framework of the to-be system. We develop detailed specification of each subsystem and provide an operational scenario. We believe when this framework is put into use, it can contribute to competitive performance by giving the integrity and consistency in implementing information systems of the Korea Postal Service.

• 대한안전경영과학회지
• /
• 제22권4호
• /
• pp.75-86
• /
• 2020

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.

• 산업공학
• /
• 제16권2호
• /
• pp.201-210
• /
• 2003

The purpose of this research is to develop a scheduling system for CAL (Continuous Annealing Line) in Cold Rolling Mill. Based on CSP (Constraint Satisfaction Problem) technique in artificial intelligence, appropriate algorithms to provide schedules satisfying all the constraints imposed on CAL are designed and developed. Performance tests show that the proposed scheduling system outperforms human operators in case of aggregating the same attributes and minimizing the thickness differences between two adjacent coils.

• Journal of Information Technology Applications and Management
• /
• 제20권2호
• /
• pp.147-160
• /
• 2013

Today, the management environments of intelligence firm are changing the way of production planning and logistics management, and are changing the process of supply chain management system. This paper shows the development of information system software for intelligence enterprises is used in supply chain management for robot engineering industry. Specifically, supply chain management system in this paper has been developed to analyze the impact of multi plant and multi distribution environment, showing the process analysis and system development of hierarchical assembly manufacturing industry. In this paper we consider a production planning and distribution management system of intelligence firm in the supply chain. We focus on a capacitated production resource and distribution volume allocation problem, develop a mixed integer programming model, and propose an efficient heuristic procedure using a genetic algorithm to solve it efficiently. This method makes it possible for the population to reach the feasible approximate solution easily. The proposed regeneration procedures, which evaluate each infeasible chromosome, makes the solution converge to the feasible approximate solution quickly.