• Journal of the Korea Society for Simulation
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• v.10 no.1
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• pp.35-50
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• 2001

Managing multi-echelon inventory systems has gained importance over the last decade mainly because integrated control of supply chains consisting of several processing and distribution stages has become feasible through modern information technology. Determination of optimal inventory policy for multi-echelon supply chain is made difficult by the complex interaction between the different levels. In this paper, we investigate performance of five inventory policies (fixed quantity order policy, fixed interval order policy, compromised order policy, lead time-fixed quantity order policy, and mixed order policy) in a multi-echelon supply chain by using a simulation model constructed with AweSim simulation language. The results of the simulation study show that the mixed order policy is the best among five inventory policies in the most test problems except the case when the stockout cost per unit is much higher than the inventory holding and transportation costs per unit.

• Proceedings of the KSR Conference
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• 2008.06a
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• pp.948-951
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• 2008

Ubiquitous sensor network (USN) based on ZigBee communication protocol has been used in various application fields, such as home-network, intelligent building and machine, logistics, environmental monitoring, military field, security field and etc. The ZigBee is targeted at radio-frequency application that require a low data rate, long battery life and secure network. Especially, the USN system can be applied efficiently to building-indoor where the complex geometry is adopted. In this study, all 90 points of railway cabin indoor were monitored for temperature and humidity using USN technology. All sensors were pre/post-calibrated and the temperature/humidity change were analyzed in a railway cabin in real-time. The results would be useful to develop the cabin heating, ventilating and air conditing (HVAC) system to meet all passengers' thermal comfort regardless of their seat position.

• Journal of Korean Society for Quality Management
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• v.37 no.4
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• pp.1-9
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• 2009

Supplier selection process is one of the most important arenas of production and logistics management for many companies. This study explores the application of the analytic network process (ANP) approach for the evaluation of suppliers based on several different evaluation criteria. The ANP approach in this study is capable of providing priorities of suppliers that capture network relationships among several evaluation criteria which are not independent. Therefore this study provides value to practitioners by providing a generic model for supplier selection. In addition, for researchers, it demonstrates further research possibilities for more complex decision making problems using ANP.

• Journal of Korean Society of Transportation
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• v.11 no.3
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• pp.49-66
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• 1993

The successful management of logistics in an organization requires the careful coordination and manipulation of both movement and storage. In this study, we can show what is the most efficient and the cheapest method to transport the petroleum products under a few constraints with the model of linear programming. And also, the model can give some important informations so as what is the best coverages of each terminals by types, how many products should be exchanged among each companies and which terminals or complexes are economically prior to the others. Even we can understand that the duality is one of the useful measures to evaluate the economical efficiencies of transportation and storage related elements such as complex and terminal location, transport mode, storage tankage capacity and in/outflow facilities of terminals etc.

• ETRI Journal
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• v.45 no.2
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• pp.329-337
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• 2023

For safe last-mile autonomous robot delivery services in complex environments, rapid and accurate collision prediction and detection is vital. This study proposes a suitable neural network model that relies on multiple navigation sensors. A light detection and ranging technique is used to measure the relative distances to potential collision obstacles along the robot's path of motion, and an accelerometer is used to detect impacts. The proposed method tightly couples relative distance and acceleration time-series data in a complementary fashion to minimize errors. A long short-term memory, fully connected layer, and SoftMax function are integrated to train and classify the rapidly changing collision countermeasure state during robot motion. Simulation results show that the proposed method effectively performs collision prediction and detection for various obstacles.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.4
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• pp.1122-1140
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• 2024

The importance of indoor positioning has grown in numerous application areas such as emergency response, logistics, and industrial automation. In ships, indoor positioning is also needed to provide services to passengers on board. Due to the complex structure and dynamic nature of ship environments, conventional positioning techniques have limitations in providing accurate positions. Compared to other indoor positioning technologies, Bluetooth 5.1-based indoor positioning technology is highly suitable for ship environments. Bluetooth 5.1 attains centimeter-level positioning accuracy by collecting In-phase and Quadrature (IQ) samples from wireless signals. However, distorted IQ samples can lead to significant errors in the final estimated position. Therefore, we propose an indoor positioning method for ships that utilizes a Deep Neural Network (DNN) combined with IQ fingerprint maps to overcome the challenges associated with accurate location detection within the ship. The results indicate that the accuracy of our proposed method can reach up to 97.76%.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2004.11a
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• pp.183-188
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• 2004

This paper presents a method for designing layout on the yard and evaluating alternative designs of the layout by applying simulation. The design method is based on the concepts of the conventional port container terminal with yard layout, In general, yard design of the container terminal is consists of the two major parts. One is to divide yard area between the number of sections and the number of runs and the other is to decide the number of equipment that is the yard truck and yard crane. In the past days, this design was depended on the experience of the terminal operator and the reproduction of the conventional terminal layout because it is a very complex decision problem. In this paper, we suggest the method of yard design as a conceptual procedure and estimate the efficiency of the container crane and the optimal number of equipment using simulation. In the experiment results, the number of sections and runs on yard area, the number of yard truck per container crane and the number of yard crane per run are decided. In addition, the traffic flow among blocks on yard layout is estimated in terms of rate.

• Journal of Digital Convergence
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• v.16 no.5
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• pp.97-104
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• 2018

Regarding seaport operation, a higher quality performance and increasing competitiveness are main goals to adapt to the evolution of international trade. This paper discusses about the competition among Southern Vietnam seaports concerning the strategic positioning analysis, by applying BCG method. This technique describes the performance of business based on two variables such as relative market share and average growth rate. The finding shows up different performances of 21 seaports and how the strategic positioning of each port changes in the period 2007-2016. After analyzing, this research pointed out the growth in strategic positioning of ports in Cai Mep-Thi Vai complex, gradually replacing Ho Chi Minh City-Dong Nai-Binh Duong and becoming the transportation hub of Southern Vietnam. Also, The results obtained would be helpful for port administrators and operators to establish short and long-term strategies to improve competitiveness in the future.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2010.04a
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• pp.159-160
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• 2010

In this paper, we compared the absorption abilities of AMP and Sendust EM wave absorbers for a port logistics RFID system. Firstly, we fabricated EM wave absorber samples by using each absorbing material, AMP or Sendust, and CPE (Chlorinated Polyethylene) with composition ratios 85 : 15 wt. %. Secondly, we designed the optimum EM wave absorber using the calculated material constants found from the measured input impedance of the samples. Therefore, we confirmed that imaginary factor of complex relative permeability influences absorption ability and that AMP is better absorbing material than Sendust at the frequency band of 433 MHz.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.6
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• pp.1214-1219
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• 2009

Many studies are being applied for various parts of USN (Ubiquitous Sensor Network) technology. The world's large retail stores and warehouses that apply logistic management are also studied. With this, USN technology is increasing in its utilization. However, to handle and process real-time data will never be never easy if these huge warehouses are using too many sensors, and real-time data correction is almost impossible. Software implementation and high-speed hardware are insufficient to solve these complex problems. To solve this problem, a key solution is to implement high-speed software. Hence, this paper suggests a USN logistics management system that applies pipelining techniques for efficiency in real-time data correction and reduces errors of generated values.