Jae Un Jung

Agent system for online ticket resale

This study has tried to suggest a new model that can effectively redistribute the tickets in the online ticket resale market, while suggesting a new allocation mechanism based on an agent negotiation. To this end, this study has analyzed and simulated the secondary ticket market through System dynamics. As a result of these simulations, it has been proved that the price stability of ticket resale market leads to an increase in revenue. An agent negotiation helps to stabilize the ticket prices that are usually inclined to rise at auction, benefiting all the participants in the negotiations, consequently showing a Pareto solution.

Strategies for Improving the Profitability of a Korean Unit Train Operator: A System Dynamics Approach

A unit train (UT) has been developed primarily in countries that have wide or long territories, to move freight quickly over long distances. In South Korea, UTs have contributed to the facilitation of the overland export/import logistics for the last decade. However, UT operators in South Korea, which is a small country surrounded by North Korea and bodies of water, suffer from low profitability when competing with trucking companies because of diverse reasons that they cannot control. On this account, this research aims to develop business strategies for improving the profitability of a Korean UT operator. We analyzed both the revenues and expenses of a representative operator in Korea, and found simple but meaningful financial circular causality, using the system dynamics methodology. Thus, we presented and scientifically reinterpreted two strategies that might be acceptable alternatives: the internalization of shuttle carriers and the securing of more freight.

Deployment of Cloud Computing in Logistics Industry

클라우드 컴퓨팅(클라우드)은 물류정보시스템이 갖는 취약점(표준화할 수 없는 복잡 다양한 방식, 지리적 산재 및 매끄럽지 못한 연계성 등)의 보완 및 물류의 혁신적 활동을 지원할 수 있는 안성맞춤의 기술로 여겨진다. 이러한 의미에서 본 연구는 물류산업에 특화된 클라우드 활용 방안을 연구하고자 하였다. 이를 위해 물류분야의 클라우드 관련 최신 동향 분석, 물류산업에서 필요로 하는 클라우드와 플랫폼, 도입 방안에 대한 분석을 진행하였다. 본 연구는 후속연구에서 물류분야에 특화된 클라우드의 개발 방향을 설정하고, 보다 구체화된 클라우드를 개발하는 데 시사점을 제공한다. 【Cloud computing(cloud) is a good candidate for complementing weaknesses of logistics information systems(heterogeneous processes not able to be standardized, geographically scattered and seamed connectivity, etc.) and for supporting innovative activities of logistics. In this sense, we aimed to study deployment strategies of clouds specified in the logistics industry. To achieve our research goal, we reviewed up-to-date logistics clouds researches and analysis of clouds; platforms and deployment strategies for logistics. This study contributes to follow-up researches for establishing a development direction of logistics specific clouds and developing more concrete clouds for logistics.】

Patent Trend Mining for Internet of Things in Logistics

The philosophy of the internet of things (IoT) provides an ideal environment for the logistics industry, which seeks the seamless integration and management of physically scattered logistics assets (freight, facilities, equipment, etc.). The great attention to IoT in the field of logistics stimulates the development of relevant technologies, leading to a high rate of patent applications. Our research aims to trace patent trends in IoT for the field of logistics by utilizing patent information. We analyzed International Patent Classification (IPC) codes and abstracts of patent documents using text mining techniques. Our results indicate that technologies for the IoT are in the early stages of being applied to the logistics industry and are in the process of being integrated with cloud computing and big data technologies.

Development of a Genetic Algorithm for the Maritime Transportation Planning of Car Carriers

Many researches have been made in order to solve global logistic problems, and especially in case of maritime transportation, much more studies have been made compared with other transportation fields because of its weight in terms of international logistics. However, little study has been made on the car carrier’s transportation, due to its relatively small weight in the maritime transportation market. For this reason, this study has tried to develop an algorithm for the maritime transportation planning of car carriers, so that they can not only reduce logistics costs but also improve competitiveness. Car carriers are usually depending upon manual work, and concerning the routing of car carriers, however, many changes are frequently taking place in the car production schedule and ship’s arrival schedule. Because of this, this study has developed a genetic algorithm for car carrier’s routing so as to make an optimal transportation planning with minimum costs. The genetic algorithm in this study has been compared with the solution results of integer programming in an effort to test its performance.

Reducing Subjectivity in the System Dynamics Modeling Process: An Interdisciplinary Approach

Over the last six decades, the system dynamics (SD) methodology has been used to address a variety of issues that are inherent to complex systems. In the SD methodology, circular-causality-centric problem definitions and computer simulations are uniquely applied to narrow the scope of a problem and facilitate an understanding of the diverse phenomena that arise from the underlying problem structure. With unclear but conceivable causality between the variables that constitute a problem, intentionally choosing to focus on the circular causality (causal loop) may result in erroneous models. The SD modeling tools, causal loop diagram for mental modeling, and stocks-and-flows diagram for physical simulation modeling are all interconnected, and it is therefore important to maintain consistency between their outputs to ensure the procedural validity. However, the modeling activities are normally performed individually, which introduces ambiguity and subjectivity into the SD modeling process. To address this issue, this research presents an integrated SD modeling support system that employs graph theory, text mining, and social network analysis approaches, and can be used as an extended SD modeling framework. This system is expected to facilitate SD modeling and to reduce errors in the SD modeling process. In the future, it will be utilized to implement an advanced computer-aided SD modeling toolchain and methodology.

An Improvement of Shipping Schedule Services: Focusing on Service Provider a in Korea

In the shipping industry, there are commercial information providers who collect and advertise shipping schedules by global region between merchant shippers to attract cargo and forwarders to find tonnage. The service providers perform most jobs for data (shipping schedules) gathering and processing by hand. In addition, they are also challenged to extend the range of schedule collection and provision to both on- and off-line sites in terms of service quality and diversity. For these issues, we carried out a project to improve the existing business process of the service provider A (fictitious name) in Korea. Our research case introduces a significant commercial information service specialized in the shipping and logistics industries which is ordinary in the field but new in the realm of research. Also compared to the previous process, we found that our applications developed by the existing S/W technology improved the work efficiency by 25% and diversified revenue models with stability.

Big Data Governance for Smart Logistics: A Value-Added Perspective

For the last five years, worldwide curiosity concerning big data has sharply increased, along with cloud computing and the Internet of Things (IoT). However, without reasonable governance of the role of and value-sharing among stakeholders, it is difficult to recognize big data’s potential value, beyond the raw data. This research suggests refinements to this governance, in terms of cross-sector collaboration for the benefit of all. This is particularly true for those in the logistics sector, which is one of the most promising, although it is composed of complicated and exclusive industries. For the development/evaluation of such governance, we designed a new business model that governs stakeholder roles and responsibilities, and presented a case study on shipping reefer (refrigerated) containers. We found that our model is applicable to both the private and public sectors for smart logistics, and feasible for resolving conventional logistical challenges such as security, smuggling, and indemnification disputes.

The Proposal of the Model for Developing Dispatch System for Nationwide One-Day Integrative Planning

The problems of dispatch planning for container truck are classified as the pickup and delivery problems, which are highly complex issues that consider various constraints in the real world. However, in case of the current situation, it is developed by the control system so that it requires the automated planning system under the view of nationwide integrative planning. Therefore, the purpose of this study is to suggest model to develop the automated dispatch system through the constraint satisfaction problem and meta-heuristic technique-based algorithm. In the further study, the practical system is developed and evaluation is performed in aspect of various results. This study suggests model to undergo the study which promoted the complexity of the problems by considering the various constraints which were not considered in the early study. However, it is suggested that it is necessary to add the study which includes the real-time monitoring function for vehicles and cargos based on the information technology.

Improvement of u-Multiplex Services

Movie theaters are a representative room to enjoy a cultural life. Recently, the type of theater gets changed into multiplex including the waiting space mixed with convenient and cultural facilities. To provide the continuous and successful improvement of the multiplex services, its economic evaluation is required in business point of view. However, existing studies for the substantial evaluation of multiplex services are insufficient. Therefore, this study aims to introduce models and plans to improve the services as evaluating multiplex services applied with ubiquitous technology(u-multiplex) by interview and simulation.