• Convergence Security Journal
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• v.13 no.1
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• pp.25-30
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• 2013

In this paper, the key performance index for advanced logistics is analyzed, and the specific requirements for the material flow IT services are proposed to improve the world competitiveness of the material flow industries and to implement the advanced logistics in Korea by survey research. The key performance index is classified into three types of efficiency, sustainability and economics, and two classes of enterprise and public for IT services are proposed. In addition to, for case studies, the survey analysis for the Pyeongtaek Port is performed to diagnose the material flow enterprise and to analyze the priorities of the IT services for Port's employee, trade enterprise, public service personnel, and local resident. From the results, to improve the productivity and efficiency of the enterprise, the secure the professional man-power and standardization are needed, and the automation, u-Port, green technology and material flow security for the IT services are required.

• Smart Media Journal
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• v.2 no.3
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• pp.47-53
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• 2013

Recently convergence of IT in logistics system as a typical application RFID/NFC technology is being used, such as, according to the distribution of the flow is generated by a lot of big data. The Hadoop distributed system to collect data items produced by the parallel processing capabilities of logistics information and logistics information for the record management can create. Hadoop system to support the design and development of prototypes were approaching the possibility of its utilization.

• International journal of advanced smart convergence
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• v.10 no.4
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• pp.198-205
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• 2021

With the development of blockchain technology, the scope of blockchain applications has expanded rapidly. Blockchain decentralization allows transaction participants to make transparent and safe transactions without a third trust agency. A distributed ledger-based system enables transparent and trusted business for anonymous users. For this reason, many companies apply blockchain to various fields such as logistics, electronic voting, and real estate. Despite this interest, there are still not enough case studies confirming the potential of blockchain as a concrete business model. Therefore, it is necessary to study how blockchain technology can change the existing business model and connect it to a new business model. In this paper, we propose blockchain-based business models and workflow types in various fields such as healthcare, logistics, and energy. We also present application cases. We expect to help companies apply blockchain to their business.

• Journal of Digital Convergence
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• v.15 no.7
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• pp.97-109
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• 2017

Domestic vehicle penetration rate is growing at 3% per year, but consumers are increasingly buying used cars due to steady price hikes Nevertheless, the used car export market is expected to decline due to import regulations of major countries and the low grade environment of Used car export complex. Therefore, this study using Fuzzy-AHP was aimed to find operational factors of Used car logistics complex and establish a practical management plan of Used car logistic complex in incheon port. Fuzzy-AHP is the method that can be calculated weight of multi-level criteria and change linguistic ambiguity of human to Fuzzy Number. So it's able to propose the realistic decision making alternatives. As a result of the literacture reviews, present study focused on the analysis of the present situation of the logistics of the used car and the activation of the complex, suggested the activation plan and activation of the logistics complex. In the analysis of operational factors, logistic complex cost factors were found to be the most important factors by recording the weighted value of 0.306 in the above factors. The detailed factors were as follows: rent, accessibility, and logistics site size. It is necessary to compute competitive rent for the highly-advanced used car logistics complex, and to realize the rental support policy and to consider designating the free trade zone. In addition, it is necessary to expand the access infrastructure and secure the scale of the company for overseas buyers, and it is necessary to improve the overall government laws and introduce IT system for the future.

• Journal of the Korean Society of Industry Convergence
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• v.24 no.1
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• pp.19-29
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• 2021

In the Port Logistics system, Container Stowage planning is an important issue for cost-effective efficiency improvements. At present, Planners are mainly carrying out Stowage planning by manual or semi-automatically. However, as the trend of super-large container ships continues, it is difficult to calculate an efficient Stowage plan with manpower. With the recent rapid development of artificial intelligence-related technologies, many studies have been conducted to apply enhanced learning to optimization problems. Accordingly, in this paper, we intend to develop and present a Deep Q-Learning Network model for the Master Stowage planning of Container ships.

• ETRI Journal
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• v.45 no.5
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• pp.746-757
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• 2023

This study presents a novel safe landing algorithm for urban drone deliveries. The rapid advancement of drone technology has given rise to various delivery services for everyday necessities and emergency relief efforts. However, the reliability of drone delivery technology is still insufficient for application in urban environments. The proposed approach uses the "landing angle control" method to allow the drone to land vertically and a rapidly exploring random tree-based collision avoidance algorithm to generate safe and efficient vertical landing paths for drones while avoiding common urban obstacles like trees, street lights, utility poles, and wires; these methods allow for precise and reliable urban drone delivery. We verified the approach within a Gazebo simulation operated through ROS using a six-degree-of-freedom drone model and sensors with similar specifications to actual models. The performance of the algorithms was tested in various scenarios by comparing it with that of stateof-the-art 3D path planning algorithms.

• Korea Journal of Hospital Management
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• v.28 no.1
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• pp.1-13
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• 2023

Purpose: This study purposed to analyze the economic feasibility of introducing a third party logistics system as a strategic alternative to hospital management. Methods: Economic analysis was performed by measuring changes in costs and benefits before and after implement the third party logistics system and estimating the size of net benefits for the next five years for the target hospital. A questionnaire survey and in-depth interview with stake-holders were conducted to find out the satisfaction and effectiveness of the system. Findings: According to results, the cost-benefit ratio for the implementation of the system was 1.18. For the next five years, the cost-benefit ratio was 1.48, the net present value was about 1.7 billion won, and the internal rate of return was 64%. The satisfaction of internal stake-holders was relatively high, in terms of improving the concentration of unique tasks and increasing the efficiency of inventory management. Practical Implications: It was found that the increase in benefits had a greater effect on the change in the cost-benefit ratio than the increase in costs resulting from the expansion of logistics, and the increase in the present value of net benefits gradually decreased as the cost increased. In addition, overall job satisfaction and satisfaction with outsourcing companies were relatively low, which means that stabilization of the new system is important. Further study is needed for more accurate economic analysis.

• Journal of the Korea Convergence Society
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• v.9 no.7
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• pp.231-240
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• 2018

Automobile industry is facing a variety of risks, including the rise of international oil price and the increase of car prices. In addition to the government's deregulation, efforts should be made to improve management aiming at higher production efficiency. In this study, we established a model for evaluating the procurement logistics based on the Fuzzy-AHP-TOPSIS by using the factors that are actually used in real companies aimed at the improvement of procurement logistics. A total of three automobile factories of Company G were chosen as the evaluation subject. In the result of the Fuzzy-AHP analysis that was conducted on a sample of three car factories, solving the long-term quality problems, minimizing the stop time due to the shortage of materials, preventing the of equipment accident, and solving the short-term quality problems were proven to be the most important factors. TOPSIS analysis result indicated that Factory B had the best procurement logistics. Our study has significance that it can contribute to the improvement of efficiency in the automobile industry as the evaluation model suggested in this study can be used for regular evaluation related to the procurement logistics in the future.

• Journal of Digital Convergence
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• v.15 no.3
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• pp.139-146
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• 2017

This study endeavors to propose factors that should be intensively managed by using an IPA model to analyze the strengths of military logistics. Based on the improvement measures, we constructed a questionnaire with 5 points of Likert scale and analyzed the importance and satisfaction through SPSS 23. Examination of several evaluation factors revealed 'expansion of and modernization storage facilities' as the most important factor, 'merger and abolition of regional logistics work' (3.56) had the highest satisfaction level. Factors involving the expansion and modernization of the storage facilities showed the largest difference between importance level and satisfaction level, at 2.01. This indicates the necessity for an overall review of the expansion and modernization of storage facilities related to military logistics. This study aims to identify the areas that should be improved firstly in military logistics and concentrate on management to create more effective results. Thus it suggests that this study has a concentration on management for the streamlining of military logistics.

• Journal of the Korea Safety Management & Science
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• v.22 no.4
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• pp.75-86
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• 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.