• 한국수자원학회논문집
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• 제43권7호
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• pp.609-623
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• 2010

본 논문에서는 시스템다이내믹스(System Dynamics, SD) 방법론에 입각하여 상수도 시스템의 운영에 내재된 피드백 루프 메커니즘(feedback loop mechanism)을 상수관로의 유지관리와 연관하여 규명하고, 관로 상태의 변화가 전체 시스템에 미치는 영향을포함한 상수도 시스템의 운영지표를예측하여 상수도 시스템의 효율적인운영 및 유지관리를 지원할 수 있는 SD 컴퓨터 모의 모형(simulation model)을 개발하였다. 개발된 모형은 물 공급(water supply) 모형, 관로 유지 관리(pipe maintenance) 모형 및 상수도 재정(water supply business finance) 모형으로 구성된다. 연구대상 지역 상수도 시스템의 운영 자료를 개발된 모형에 적용하여 모형을 검증하고 시스템의 과거 및 미래의 운영 상태를 추정하였으며, 시스템의 운영에 큰 영향을 미치는 정책 지렛대를 발견하였다. 정책 지렛대 발견을 위해 모형의 외부변수의 변화에 대한 연구대상 시스템의 주요 운영지표의 민감도가 분석되었는데 관로의 유지관리에 연관된 외부변수는 누수수량과 관로의 변화에는 큰 영향을 끼치나, 유수율을 비롯한 주요 운영지표에는 큰 영향을 미치지 않는 것으로 나타났다. 관로의 유지관리와 유수율과 같은 주요 운영지표 간의 관계를 보다 정확히 모형화하기 위해서는 관로의 누수 또는 사고로 인해 발생하는 사회적 비용의 발생과 그 전파 메카니즘이 모형화되어야 할 것으로 분석된다.

• 대한안전경영과학회지
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• 제6권3호
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• pp.187-196
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• 2004

By successful establishment of Supply Chain Management System they should make the supply chains speedy and combine production information system with the outcome system and thus they reinforce the competition of the production system of local enterprises in accordance with the rapid decision making. Supply chain coordination improves if all supplier of chain take actions that together increase total supply chain profits. To design of Modularity by the grouping supplier, the proposed method is to develop the most appropriate production system models through the reflection of JIT system in the Supply Chain Management which is necessity of the times and its importance. The objects of this study is to develop the most appropriate production system Model and optimal profit model in the process line and to provide the enterprises with the models which are based on the Supply Chain Management.

• 한국시뮬레이션학회:학술대회논문집
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• 한국시뮬레이션학회 2000년도 추계학술대회 논문집
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• pp.142-149
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• 2000

Most of supply chain simulation models have been developed on the basis of discrete-event simulation. Since supply chain systems are neither completely discrete nor continuous, the need of constructing a model with aspects of both discrete-event simulation and continuous is provoked, resulting in a combined discrete-continuous simulation. Continuous simulation concerns the modeling over time of a system by a representation in which the state variables change continuously with respect to time. In this paper, an architecture of combined modeling for supply chain simulation is proposed, which presents the equation of continuous part in supply chain and how these equations are used supply chain simulation models. A simple supply chain model is demonstrated the possibility and the capability of this approach.

• 유통과학연구
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• 제14권4호
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• pp.21-31
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• 2016

Purpose - This study examines how consignment and Vendor-Managed Inventory perform as supply chain collaboration programs. By using three key collaborative features, this study defines the collaboration programs and develops theoretical models of different supply chain systems. Research design, data and methodology - This study conducts sophisticated analysis on the supply chain systems by applying simulation modeling based on time-phased operations. The simulation model represents a two-stage supply chain system where a supplier sells a single item to a buyer, and it incorporates various operations. Results - In general, the simulation outcomes support that more advanced collaboration programs outperform less advanced ones. The analysis on the simulation outcomes identifies the significant value of information sharing in both collaboration programs. The specific conditions where the particular collaboration system outperforms the others are recognized. Conclusions - The outcome of this study supports that the supply chain system can improve its performance by having more collaborative features. This study provides business practitioners with guidelines to identify the circumstances that the specific collaboration program can fully exploit its advantages.

• Asia pacific journal of information systems
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• 제7권1호
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• pp.151-163
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• 1997

본고는 장치산업형 부품 제조업체에서 주문관리와 제조정보를 SCM(Supply Chain Management) 관점에서 통합하기 위한 모형을 제시한다. 공정 특성을 고려하여 이 모형은 계획 계층과 실행 계측을 분리하고, 두 계층의 효율적 연계를 위한 가상 프로세스를 도입하며, 운영의 유연성을 최대화하는 계획과 실행의 분리 원칙을 적용하였다. 또한 이 모형이 장치산업형 제조업체의 생산성 혁신에 기여할 수 있음을 사례연구로 제시하였다.

• 한국경영과학회지
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• 제31권2호
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• pp.113-127
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• 2006

We consider an integrated supply chain model in which multiple suppliers replenish items for a single buyer's demand. Also the buyer specifies a basic replenishment cycle and the suppliers replenish the items only at those time intervals. Namely, we propose a model to study and analyze the benefit by coordinating supply chain inventories through the basic replenishment cycle time. The objective of this model is to minimize the total relevant annual cost of the integrated inventory model. After developing proposed coordinated models, we suggest heuristics for searching the solutions of our models. Finally, numerical and computational experiments for each policy are carried out to evaluate the benefits of those models and the compensation policy is addressed to share the benefits.

• 한국시뮬레이션학회:학술대회논문집
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• 한국시뮬레이션학회 2005년도 추계학술대회 및 정기총회
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• pp.65-70
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• 2005

Recently, Grid is embossed as a new issue according to the need of cooperation related to distributed resources, data sharing, Interaction and so on. It focuses on sharing of large scale resources, high-performance, applications of new paradigms, which improved more than established distributed computing. Because of the environmental specificity distributed geographically and dynamic, the most important problem in grid environment is to share and to allocate distributed grid resources. This paper proposes supply-driven strategies model that is applicable for resource management in grid environment and presents a optimal resource allocation algorithm based on resource demands. Supply-driven strategies model can offer efficient resource management by transaction allocation based on user demand and provider strategy. This paper implements the supply-driven strategies model on the DEVS modeling and simulation environment and shows the efficiency and excellency of this model by comparing with established models.

• 한국수자원학회논문집
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• 제33권4호
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• pp.447-459
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• 2000

수자원 개발이 인문 사회적 여건으로 날로 어려워짐에 따라 공급위주의 물 관리 정책이 한계에 달하고 이어 수요관리개념에 따른 적용 가능한 수자원관리 기법의 개발이 필요해지고 있다. 무효방류량을 최소화하여 한정된 물 자원 배분을 합리적으로 이룰 수 있는 실제 적용 가능한 수요관리기법은 수자원의 효율적 이용과 유역물관리 시스템의 방법론적 완성을 위해 반드시 필요하다. 본 연구는 기존의 물수지분석 기법을 댐 연계운영 모형과 조합하여 MIP 기법에 의해 이수목적 다목적댐 최적연계운영모형을 개발하고 낙동강 수계를 대상으로 모형의 적용성에 대한 검증을 실시하였으며 낙동강 수계의 용수공급능력을 재평가하였다. 이 결과를 계획 당시 자료 및 다른 모형에 의한 운영결과와 비교한 바 개발된 모형은 훌륭히 물 부족량 공급방식으로 수계의 물 공급을 보장할 수 있고 기존 모형등에 의한 방식보다 물배분과 관리에 효율적으로 활용 될 수 있음이 평가되었다.

• 환경영향평가
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• 제14권4호
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• pp.157-164
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• 2005

Existing models that predict of Daily water supply include statistical models and neural network model. The neural network model was more effective than the statistical models. Only neural network model, which predict of Daily water supply, is focused on estimation of the operational control. Neural network model takes long learning time and gets into local minimum. This study proposes Neuro Genetic hybrid model which a combination of genetic algorithm and neural network. Hybrid model makes up for neural network's shortcomings. In this study, the amount of supply, the mean temperature and the population of the area supplied with water are use for neural network's learning patterns for prediction. RMSE(Root Mean Square Error) is used for a MOE(Measure Of Effectiveness). The comparison of the two models showed that the predicting capability of Hybrid model is more effective than that of neural network model. The proposed hybrid model is able to predict of Daily water, thus it can apply real time estimation of operational control of water works and water drain pipes. Proposed models include accidental cases such as a suspension of water supply. The maximum error rate between the estimation of the model and the actual measurement was 11.81% and the average error was lower than 1.76%. The model is expected to be a real-time estimation of the operational control of water works and water/drain pipes.

• 한국정보시스템학회지:정보시스템연구
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• 제12권2호
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• pp.57-72
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• 2003

The purpose of this paper is to propose the modeling of multiagent based SCM and implement the prototype in the Internet environment. SCM process follows the supply chain operations reference (SCOR) model which has been suggested by Supply Chain Counsil. SCOR model has been positioned to become the industry standard for describing and improving operational process in SCM. Five basic processes, plan, source, matte, deliver and return are defined in the SCOR model, through which a company establishes its supply chain competitive objectives. A supply chain is a world wide network of suppliers, factories, warehouses, distribution centers and retailers through which raw materials are acquired, transformed or manufactured and delivered to customers by autonomous or semiautonomous process. With the pressure from the higher standard of customer compliance, a frequent model change, product complexity and globalization, the combination of supply chain process with an advanced infrastructure in terms of multiagent systems have been highly required. Since SCM is fundamentally concerned with coherence among multiple decision makers, a multiagent framework based on explicit communication between constituent agents such as suppliers, manufacturers, and distributors is a natural choice. Multiagent framework is defined to perform different activities within a supply chain. Dynamic and changing functions of supply chain can be dealt with multi-agent by cooperating with other agents. In the areas of inventory management, remote diagnostics, communications with field workers, order fulfillment including tracking and monitoring, stock visibility, real-time shop floor data collection, asset tracking and warehousing, customer-centric supply chain can be applied and implemented utilizing multiagent. In this paper, for the order processing event between the buyer and seller relationship, multiagent were defined corresponding to the SCOR process. A prototype system was developed and implemented on the actual TCP/IP environment for the purchase order processing event. The implementation result assures that multiagent based SCM enhances the speed, visibility, proactiveness and responsiveness of activities in the supply chain.