• 한국시뮬레이션학회논문지
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• 제12권4호
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• pp.1-15
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• 2003

To satisfy and respond quickly to customers' demand, many companies are now aggressively focusing on supply chain management in order to strengthen their competitiveness. The modeling and analysis of supply chain environment have been widely studied. This study is concerned with the development of supply chain simulator which deals with stochastic natures existing in the supply chain environment. We proposed the mathematical model for the efficient cost analysis and developed the supply chain simulator based on the proposed mathematical model with object-oriented language C++. The simple experiment which find the best combination of policies considering the whole cost shows the possibility and reasonability of the developed simulator.

• 산업공학
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• 제21권3호
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• pp.343-353
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• 2008

Vendor-managed inventory(VMI) is a supply chain strategy to improve the inventory turnover and customer service in supply chain management. Unfortunately, many VMI programs fail because they simply transfer the transactional aspects of placing replenishment orders from customer to vendor. In fact, such VMI programs often degrade supply chain performance because vendors lack capability to plan the VMI operations effectively in an integrated way under the dynamic, complex, and stochastic VMI supply chain environment. This paper presents a decision support system, termed DSSV, for VMI in the retail supply chain. DSSV supports the market forecasting, vendor's production planning, retailer's inventory replenishment planning, vehicle routing, determination of the system operating parameter values, retailer's purchase price decision, and what-if analysis. The potential benefits of DSSV include the provision of guidance, solution, and simulation environment for enterprises to reduce risks for their VMI supply chain operations.

• 한국시뮬레이션학회논문지
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• 제10권1호
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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.

• 대한산업공학회지
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• 제41권5호
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• pp.511-520
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• 2015

Inventory, cost, and the level of service are three interrelated key metrics that most supply chain organizations are striving to optimize. One way to achieve this goal is to create a simulation model to conduct sensitivity analysis and optimization on several different supply chain policies that can be implemented in actual operation. In this paper, a case of Xerox global supply chain modeling and analysis to assess several "what if" scenarios for the consumable policy safety stock is presented. The simulation model, combined with analytical cost model and optimization module, is used to optimize the policy safety stock level to achieve the lowest total value chain cost. It was shown quantitatively that the policy safety stock can be reduced, but it is offset by the inbound premium transportation cost to expedite supplies in shortage, and the outbound premium transportation cost to send supplies to customers via express shipment, requiring fine balance.

• 한국시뮬레이션학회논문지
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• 제16권3호
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• pp.29-38
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• 2007

환경에 대한 관심이 높아짐에 따라 제조업체들에게 생산제품의 수거 및 처리를 강제하는 규제들이 강화되었고, 이에 따라 제품 수명 종료 후의 흐름인 역공급사슬(Reverse Supply Chain)을 구축하도록 강요하고 있다. 역공급사슬의 구축과 운영에 있어 정책적인 선택에 따라 환경에 미치는 영향은 크게 달라질 수 있으므로, 관련 정책이나 규제, 기업의 전략이 공급사슬에 미치는 영향을 파악하는 것은 매우 중요하다. 본 논문에서는 공급사슬 전체에 걸쳐 환경 영향과 운영 효율성을 평가할 수 있는 도구를 개발하고, 시나리오 분석을 통해 역공급사슬 구축 정책이 공급사슬에 미치는 영향을 분석할 것이다. 본 연구에서 제안한 분석 모델은 정부의 환경 정책 수립, 기업의 역공급사슬 구축, 운영 효율성 향상 등에 활용될 수 있을 것이다.

• 산업공학
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• 제21권4호
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• pp.444-455
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• 2008

In the present manufacturing environment, the appropriate decision making strategy has a significance and it should count on the fast-changing demand of customers. This research derives the optimal levels of the decision variables affecting the inventory related performance in multi-stage supply chain by using simulation and genetic algorithm. Simulation model helps analyze the customer service level of the supply chain computationally and the genetic algorithm searches the optimal solutions by interaction with the simulation model. Our experiments show that the integration approach of the genetic algorithm with a simulation model is effective in finding the solutions that achieve predefined target service levels.

• 품질경영학회지
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• 제46권4호
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• pp.959-972
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• 2018

Purpose: This study developed a simulation model that incorporates the uncertainty of demand and yield to obtain optimized results for supply chain coordination within environmental constraints. The objective of this study is to examine whether yield management for perishable products can achieve the goal of supply chain coordination between a single buyer and a single supplier under a variety of environmental conditions. Methods: We investigated the efficiency of a revenue-sharing contract and a wholesale price contract by considering demand and yield uncertainty, profit maximizing ratio, and success ratio. The implications for environmental variation were derived through a comparative analysis between the wholesale price contract and the revenue-sharing contract. We performed Monte Carlo simulations to give us the results of an optimized supply chain within the environments defined by the experimental factors and parameters. Results: We found that a revised revenue-sharing contracting model was more efficient than the wholesale price contract model and allowed all members of the supply chain to achieve higher profits. First, as the demand variation (${\sigma}$) increased, the profit of the total supply chain increased. Second, as the revenue-sharing ratio (${\Phi}$) increased, the profits of the manufacturer gradually decreased, while the profits of the retailer gradually increased, and this change was linear. Third, as the quality of yield increased, the profits of suppliers appear to increased. At last, success rate was expressed as the profit increased in the revenue-sharing contract compared to the profit increase in the wholesale price contract. Conclusion: The managerial implications of the simulation findings are: (1) a strategic approach to demand and yield uncertainty helps in efficient resource utilization and improved supply chain performance, (2) a revenue-sharing contract amplifies the effect of yield uncertainty, and (3) revised revenue-sharing contracts fetch more profits for both buyers and suppliers in the supply chain.

• 한국시뮬레이션학회:학술대회논문집
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• 한국시뮬레이션학회 2000년도 춘계학술대회 논문집
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• pp.67-72
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• 2000

공급망 관리(SCM: Supply Chain Management)는 공급자, 생산자, 고객에 이르는 공급망(Supply Chain) 전체에 대한 합리화된 통합적 관리를 의미한다. 현재까지 최적화와 관련된 분야들에 대한 연구가 많이 진행되어 왔으나 이러한 최적화 값들의 실제 적용에 관한 연구는 미흡하였다. 이에 본 연구에서는 공급망을 모델링하여 원하는 기간 동안의 시뮬레이션을 통해 공급망을 정량화된 데이터로 표현해 주고, 각 구성 요소에서의 운영정책 변화나 공급망 디자인의 변화와 같은 여러 가지 발생 가능한 변인들이 공급망에 어떠한 영향을 미치는지를 나타내 줄 수 있는 Supply Chain Simulator(SCS)에 대한 개략적인 내용을 살펴보고 개발된 SCS들에 대하여 간략하게 알아보고자 한다.

• Korean Chemical Engineering Research
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• 제46권4호
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• pp.792-798
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• 2008

공급 사슬망은 최근 학계와 기업에서 매우 큰 관심사로 떠오르며 그 중요성이 강조되고 있다. 통합적으로 관리하고 조망해야 한다는 필요성에 기반하고 있지만 전체적으로 조망하면서 지속적으로 일어나는 변동성을 어떻게 대응하고 준비해야 하는 가에 대해서는 연구가 상대적으로 활발하지 않았다. 본 논문에서는 공급 사슬망의 동적 특성들에는 어떤 것들이 있는지 살펴 보고 이를 통해 적절한 운영 방식을 찾기 위해 준비하였다. 각각 참여 요소(entity)들이 가지고 있는 변동성이 전체에 어떤 영향을 가지고 있는지 전체 소요 시간(Turn Around Time, TAT) 중심의 방법을 제안하였다. 이를 Monte Carlo Simulation 방법을 통해 7개의 인자들로 구성된 공급 사슬망의 사례를 제시하였다.

• 대한안전경영과학회지
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• 제22권4호
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• pp.65-74
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• 2020

Many of companies have made significant improvements for globalization and competitive business environment The supply chain management has received many attentions in the area of that business environment. The purpose of this study is to generate realistic production and distribution planning in the supply chain network. The planning model determines the best schedule using operation sequences and routing to deliver. To solve the problem a hybrid approach involving a genetic algorithm (GA) and computer simulation is proposed. This proposed approach is for: (1) selecting the best machine for each operation, (2) deciding the sequence of operation to product and route to deliver, and (3) minimizing the completion time for each order. This study developed mathematical model for production, distribution, production-distribution and proposed GA-Simulation solution procedure. The results of computational experiments for a simple example of the supply chain network are given and discussed to validate the proposed approach. It has been shown that the hybrid approach is powerful for complex production and distribution planning in the manufacturing supply chain network. The proposed approach can be used to generate realistic production and distribution planning considering stochastic natures in the actual supply chain and support decision making for companies.