• IE interfaces
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• v.24 no.2
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• pp.139-150
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• 2011

The EPCglobal Network is a computer network used to share product data among trading partners. It provides the supply chain with improved visibility and traceability by using Electronic Product Code (EPC), which is stored on an RFID tag. Although this network model is widely accepted as a global standard and the growth of EPCglobal-subscriber base is considerable, the EPC technology adoption process is still in its infancy. This is because some of the critical issues on this model still remain to be verified such as scalability, data management, security, privacy and the economic value of data sharing. In this paper, we focus on scalability issue among the challenges to overcome and we regard performance of the EPCglobal Network only as a track and trace query-processing cost in the network. We developed performance models consisting of three elements of the EPCglobal Network : Discovery Services (DS), EPC Information Services (EPCIS), Object Naming Services (ONS). Then we abstracted out the track and trace query execution model to evaluate performance of the overall EPCglobal Network. Finally using the proposed models, we carried out simulation analysis based on an RFID-based inbound logistics process of automobile parts. This work is an important step towards the EPC technology diffusion and provides guidelines for businesses looking to buy or build the EPCglobal Network-based systems.

• Journal of the Korea Safety Management & Science
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• v.15 no.1
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• pp.217-229
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• 2013

As customers' demands for diversified small-quantity products have been increased, there have been great efforts for a firm to respond to customers' demands flexibly and minimize the cost of inventory at the same time. To achieve that goal, in SCM perspective, many firms have tried to control the inventory efficiently. We present an mathematical model to determine the near optimal (s, S) policy of the supply chain, composed of multi suppliers, a warehouse and multi retailers. (s, S) policy is to order the quantity up to target inventory level when inventory level falls below the reorder point. But it is difficult to analyze inventory level because it is varied with stochastic demand of customers. To reflect stochastic demand of customers in our model, we do the analyses in the following order. First, the analysis of inventory in retailers is done at the mathematical model that we present. Then, the analysis of demand pattern in a warehouse is performed as the inventory of a warehouse is much effected by retailers' order. After that, the analysis of inventory in a warehouse is followed. Finally, the integrated mathematical model is presented. It is not easy to get the solution of the mathematical model, because it includes many stochastic factors. Thus, we get the solutions after the stochastic demand is approximated, then they are verified by the simulations.

• Journal of Korean Society of Transportation
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• v.28 no.5
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• pp.91-106
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• 2010

Recently, interest in supply chain management is rising along with the increasing oil prices and traffic congestion. In particular, people started studying the issue, but realized that advantageous strategies for suppliers and retailers are not always advantageous to a carrier. Therefore, in this study the atuhors set up a simulation scenario to understand delivery vehicle routing problems under various inventory policies, namely Economic Order Quantity (EOQ) and Periodic Order Quantity (POQ) and network configurations. First, the authors made a virtual supply chain. Then they analyzed characteristics of delivery vehicle routing under various inventory policies (EOQ and POQ) and network configurations. As a result, the POQ inventory policy decreases the number of vehicles, the number of drivers, and the service time of vehicles. Also, the centralized network increases the load factor of vehicles and decreases the service time of vehicles. In other words, the centralized network and the POQ inventory policy are better for the carrier. These results show a savings of 15,556,806 won ($13,389.10) in a month: a reduction of 17%.

• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2007.05a
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• pp.198-208
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• 2007

Recently business enterprises have forced to face in fierce competition in today's global markets due to the short life cycles of products and the higher expectation of customers. Together with continuing advances in communications and transportation technologies, these environments have motivated the continuous evolution of the supply chain and the management techniques. This paper consider three-echelon inventory system which consist of one manufacturer, one distributor and N retailers for a single product under assumption of constant demand. This paper propose the inventory replenishment period using heuristic method and order policy through coordination of inventory replenishment period. The simulation results show that decrease the total cost of the three-echelon inventory system.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.05a
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• pp.31-34
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• 2004

This research proposes the lateral transshipment policy that can deal efficiently with stockout in the two-echelon distribution network in supply chain. The lateral transshipment policy can be expected for retailers to response the change of customers' demands efficiently. Because of various factors, such as demand fluctuation, replenishment quantity, lead time, and so on, it is very difficult to decide optimal lateral transshipment time and quantity. We suggest the new lateral transshipment policy based on the service level in this research. The efficiency of this policy is proved by simulation experiments.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.05a
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• pp.441-445
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• 2004

In this paper, we deal with an inventory model of a multi-stage, serial supply chain system where a single product type and nonstationary customer demand pattern are considered. The retailer and suppliers place their orders according to an echelon-stock based replenishment control policy. We assume that the suppliers can access online information on the demand history and use this information when making their replenishment decisions. Using a reinforcement learning technique, the inventory control parameters are designed to adaptively change as the customer demand pattern is altered, in order to maintain a given target service level. Through a simulation based experiment, we verified that our approach is good for maintaining the target service level.

• Proceedings of the KIEE Conference
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• 2003.11b
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• pp.67-70
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• 2003

In this paper the main topologies of one-bit full adders, including the most interesting of those recently proposed, are analyzed and compared for speed, power consumption, and power-delay product. The comparison has been performed on circuits, optimized transistor dimension to minimize power-delay product. The investigation has been carried out with properly defined simulation runs on a Cadence environment using a 0.25-${\mu}m$ process, also including the parasitics derived from layout. Performance has been also compared for different supply voltage values. Thus design guidelines have been derived to select the most suitable topology for the design features required. This paper also proposes a novel figure of merit to realistically compare n-bit adders implemented as a chain of one-bit full adders. The results differ from those previously published both for the more realistic simulations carried out and the more appropriate figure of merit used. They show that, except for short chains of blocks or for cases where minimum power consumption is desired, topologies with only pass transistors or transmission gates are not attractive.

• Journal of Korean Institute of Industrial Engineers
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• v.32 no.3
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• pp.200-209
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• 2006

Load building is an important step to make the delivery supply chain efficient. We present a family of load makeup algorithms using market based control strategy, named LoadMarket, in order to build efficient loads where each load consists of a certain number of finished products having destinations. LoadMarket adopts Clark-Wright algorithm for generating initial endowment for Load Traders who cooperate to minimize either total travel distance or the variance with respect to the travel distances of loads by means of the spot market or double-sided auction market mechanism. The efficiency of the LoadMarket algorithms is illustrated using simulation based experiments.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.05a
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• pp.863-868
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• 2003

최근 자동차 제조업체들은 치열한 국제경쟁시대에 생존하기 위하여 원가 절감 및 개발기간 단축, 품질 향상을 위하여 모듈화라는 새로운 자동차 생산 방식을 적용하고 있다. 본 연구에서는 자동차 모듈화 부품의 한 종류인 Front End Module (FEM)을 대상으로 생산시스템 계획단계에서 대상 부품의 직서열 공급시스템 적용 가능성을 컴퓨터 시뮬레이션 기법을 적용하여 입증하고, 직서열 공급시스템 운영방안을 제시하여 물류비용을 절감하고자 한다. 연구 대상인 완성차업체의 의장라인과 모듈 업체의 조립라인 및 모듈 공급시스템을 모델링하여, FEM 공급시스템을 운영 방안별로 시뮬레이션을 통하여 직서열 공급시스템의 적용 가능성을 입증하고, 운반 차량의 적정 소요 대수 및 FEM 운반용 캐리어 대수를 제시한다.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.05a
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• pp.923-930
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• 2003

최근의 정보기술의 급속한 발전과 더불어 대형사업의 성공 및 실패할 확률을 고려한 프로젝트 위험분석 연구가 널리 연구되고 있다. 특히 정보시스템을 기반으로 발전되고 있는 SCM(Supply Chain Management)의 구축사업은 복잡하고 대형프로젝트들로서 계획 초기부터 운영단계에 이르기까지 사업의 성공 및 실패할 확률을 예측함은 매우 중요하다. 본 연구에서는 이러한 SCM구축사업의 위험분석을 위하여 다 속성(Multi-Attribute)구조를 가지는 분석 방법과, 구축사업의 비용, 기간 및 고객 서비스능력 등을 고려한 위험 분석모델을 개발하였으며, 두 가지 방법을 사용하였다. : 1) AHP 방법을 이용한 가중치 방법, 2) SCM 네트웍을 구축하고 방법을 사용하였다. 또한 이를 위한 전산프로그램을 개발하고 실례를 들고 그 결과를 보였다.