• Journal of the Economic Geographical Society of Korea
• /
• v.21 no.4
• /
• pp.409-424
• /
• 2018

Since the 1950s, many of the traditional industrial cities of advanced economies in Europe and North America were affected by a series of de-industrialization. The de-industrialization process, characterized by company shut-downs and massive lay-offs, has resulted in high unemployment rates and massive redundancies in physical infrastructure. Since the 1980s, many of the old industrial cities have attempted to overcome such problems. However, it has been found that not many of the cities are found to be successful. The City of Dortmund, one of the core cities of the large German industrial conurbation of the past, the Ruhr, is found to be an exceptional case demonstrating a clear success in overcoming deindustrialization problems. The City in fact strategically pursued transforming backbone of its economy from steel-making, coal-mining and beer-brewery to high-technology and future-oriented industries, based on microsystems, biomedical, electronic logistics and information technology. This paper attempts to analyse the processes and outcomes of transforming Dortmund beginning from the 1980s to articulate the roles of the agencies contributing to the success.

• Management & Information Systems Review
• /
• v.38 no.3
• /
• pp.21-34
• /
• 2019

It is a very important task for managers to motivate employees who work at service encounters where interaction with customers is important. The purpose of this study is to propose the trust of supervisor and supervisor's expressions as factors that can enhance or strengthen employees' prosocial behavior. Hierarchical regression analysis was used for this purpose. The results and implications are as follows. First, trust toward supervisors appeared to be a factor to improve employees'engagement. Second, job engagement has a positive effect on prosocial behavior of employees, that is, customer oriented behavior and organizational citizenship behavior. Finally, this work confirmed the moderating effect of the supervisor's gratitude expressions in the relationship between trust toward supervisor and job engagement. Research on gratitude in the marketing field is still in its infancy, and previous researches are focused on business and consumer relations. Expressing gratitude can be a natural tendency. This study suggests that gratitude expression should be introduced as part of organizational culture.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2019.05a
• /
• pp.142-143
• /
• 2019

Busan Port ranked 6th in the world with 21.67 million TEUs of container handling in 2018, but the ship supply industry has fallen short of that. Despite its technological prowess, Korea's ship supply industry lacks competitive edge in many aspects such as government support, integrated platform, and infrastructure compared to overseas ship supply industries. The use of code, which is not standardized, can be cited as a leading factor that undermines the competitiveness of Korea's ship supply industries. In the ship supply industry, the use of non-standardized codes can make it difficult to manage or analyze meaningful statistics, and, by extension, can lead to the loss of new business opportunities. Therefore, in this study, we intend to use local ship supply transaction data to study how to standardize item code to solve the problem.

• Industry Promotion Research
• /
• v.6 no.2
• /
• pp.21-35
• /
• 2021

Research on the introduction aspect of research has focused on the direction, performance expectations, costs, regulations, and risks of RPA introduction. Future research in terms of introduction has shown that in addition to organizational research, technical and environmental research needs to be activated. The application case studies have been conducted on actual entities, application tasks and application occupations. Future research on application case aspects seems to require research on RPA technical post-use performance for actual companies, application tasks, and applied jobs. The study of market analysis aspects has shown that the formation stage of the market and the prediction of future markets. Future research will be possible in connection with AI and the Fourth Industrial Revolution to study how future markets will develop. The acceptance aspect of research can be said to be a relatively poor field of research compared to other subjects. If research on acceptance aspects is further activated in the future, it will contribute to the development of new technology acceptance theory and suggest implications for RPA introduction, RPA application, and RPA market revitalization.

• Journal of Navigation and Port Research
• /
• v.44 no.6
• /
• pp.557-563
• /
• 2020

Digital Twin Technology is currently being utilized in many industries and logistics seems soon to follow that trend. Currently, technology introduction to container terminals is restrictedly developing. In reviewing the existing literature, it became clear that research on the application of Digital Twin technology for container terminals is deficient. This study fulfilled AHP and IPA analysis causing fields to adjust priority at the container terminal. The result of analysis on the urgent necessity of adjustable fields' detailed elements from Digital Twin Technology, ATC, intelligent CCTV, and container yards, and showed that they were of the highest priority level. Also, VR/AR Equipment, AYT, Smart Container, Automated Container Delivery Facility, Refrigerated/Freezer Container, Wearable Device for Port Maintenance, and Smart Buoy were reviewed in detail. Our group suggests AQC, Berth, AGV, ASC, Apron, and Automated Mooring as potentially useful Digital Twin Technologies. Finally, our research suggests the OSS equipment, intermodal linkage facility, intelligent drone, and hazardous material storage are areas of low priority.

• Journal of Digital Convergence
• /
• v.19 no.2
• /
• pp.509-514
• /
• 2021

The pandemic of COVID-19 is driving the demand for non-face-to-face diagnosis, observation, and treatment in the healthcare environment, which has led to increased interest in helathcare robots. The authors intend to predict the direction in which the quarantine healthcare robots should be utilized in the post-corona era through analysis of national agency reports, on-offline press reports, and domestic and foreign robot company press releases. The COVID-19 pandemic has raised interest in medical robots. And there is a need to apply healthcare robots that can perform tasks such as disinfection, logistics transfer, screening tests, monitoring of patients, remote medical treatment support for isolated patients, and video calls with family members. Therefore, it is considered that future correct development and application of healthcare robots and empirical research to verify them should be continued based on sufficient consideration for various problems associated with the practical application of robots.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.20 no.1
• /
• pp.132-145
• /
• 2021

This study analyzes the main road network for road users to manage roads efficiently and derives problematic road sections to be improved. Traditional road management has been operated by manager-oriented view and a diversified road management system based on congestion. Therefore, in this research, the mail road Network was selected from the viewpoint of passenger-oriented, logistics-oriented and tourism-oriented, and the problematic road sections were derived through Level Of Service (LOS) analysis, safety analysis using EPDO accident rate, and network service analysis. This study emphasizes the efficient user-oriented road construction and management system and the need of constructing a mail road network, and it suggests the improvement strategies.

• Journal of Navigation and Port Research
• /
• v.44 no.6
• /
• pp.469-476
• /
• 2020

Modeling and Simulation (M&S) systems which deal with situational complexity often require human involvement due to the high-level decision-making that is necessary for ship movement, navigation, control center management, shipping company logistics, meteorological system information, and maritime transportation GIS. In order to properly simulate maritime traffic, it is necessary to accurately model the human decision-making process of the ship officer, including aspects of the ship officer's behavioral tendencies, personal navigation experience, and pattern of voyage errors, as this is the most accurate way in which to reproduce and predict realistic maritime traffic conditions. In this paper, which looks at agent-based maritime traffic simulation, we created a basic survey in order to conduct behavior analysis on ship operators' collision avoidance strategies. Using the information gathered throughout the survey, we developed an agent-based navigational behavior model which attempts to capture the behavioral patterns of a ship officer during an instance of ship collision. These results could be used in the future in further developments for more advanced maritime traffic simulation.

• Journal of Advanced Navigation Technology
• /
• v.24 no.6
• /
• pp.491-499
• /
• 2020

There are policies that foster the drone industry, which either put a legal precedent on drones through the "Drone Act" or grant a delay or exemption in applying the safety measures of "the Aviation Safety Act". Yet, the definition of a drone is unclear, requiring further discussion on commercial usage. Therefore, we have studied cases domestically and abroad, and also analyzed issues with the current aviation legislation. It was found that a drone is defined as "an unmanned aircraft where a pilot is not on board, and its net weight is 150 kg or less". However, there are several issues, such as that a drone taxi requires a pilot on board, and its weight is 150 kg or more. Thus, we propose to define a drone as "an unmanned aerial vehicle (provided, that its own net weight should be 300 kg or under, or not be limited to weight) under Article 2 (3) of the "Aviation Security Act" as prescribed by Ordinance of the Ministry of Land, Infrastructure, and Transport, which operates either by remote, automatically, or autonomously; or an unmanned aircraft under Article 2 (6) of the "Aviation Security Act".

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.44 no.4
• /
• pp.113-127
• /
• 2021

Topic modeling has been receiving much attention in academic disciplines in recent years. Topic modeling is one of the applications in machine learning and natural language processing. It is a statistical modeling procedure to discover topics in the collection of documents. Recently, there have been many attempts to find out topics in diverse fields of academic research. Although the first Department of Industrial Engineering (I.E.) was established in Hanyang university in 1958, Korean Institute of Industrial Engineers (KIIE) which is truly the most academic society was first founded to contribute to research for I.E. and promote industrial techniques in 1974. Korean Society of Industrial and Systems Engineering (KSIE) was established four years later. However, the research topics for KSIE journal have not been deeply examined up until now. Using topic modeling algorithms, we cautiously aim to detect the research topics of KSIE journal for the first half of the society history, from 1978 to 1999. We made use of titles and abstracts in research papers to find out topics in KSIE journal by conducting four algorithms, LSA, HDP, LDA, and LDA Mallet. Topic analysis results obtained by the algorithms were compared. We tried to show the whole procedure of topic analysis in detail for further practical use in future. We employed visualization techniques by using analysis result obtained from LDA. As a result of thorough analysis of topic modeling, eight major research topics were discovered including Production/Logistics/Inventory, Reliability, Quality, Probability/Statistics, Management Engineering/Industry, Engineering Economy, Human Factor/Safety/Computer/Information Technology, and Heuristics/Optimization.