• 해양환경안전학회지
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• 제24권4호
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• pp.451-458
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• 2018

인천연안은 인천광역시, 경기도 김포시 시흥시 안산시 일대로, 양식장에서 발생하는 쓰레기, 어업활동 후 버려진 어구 어망, 육상에서부터 한강을 타고 흘러오는 쓰레기 때문에 인천연안의 해양생태계의 변화가 우려되고 있다. 인천연안이 심각하게 오염되자 해양수산부는 인천연안을 특별관리해역으로 지정하여 해양환경 자산인 해역수질을 보존하고 있다. 이러한 배경 하에서 본 연구는 인천연안 해역수질의 비시장 가치를 선택실험법(choice experiment)을 이용하여 평가한다. 이를 위해, 전국 1,000 가구를 대상으로 면대면 설문조사를 실시하였고, 속성 각각의 한계지불의사액(MWTP, marginal willingness to pay)을 추정한다. 인천연안 해역수질의 속성별 가치(가구당 연간 한계지불의사액)를 추정한 결과, 가구당 연간 해역수질 1 %p 개선의 MWTP는 75원, 동물종의 다양성 증가의 MWTP는 135원, 식물종 다양성 증가의 MWTP는 309원, 해양쓰레기 1 %p 저감의 MWTP는 72원으로 나타났다. 모든 추정결과는 유의수준 1 %에서 유의한 것으로 나타났다. 본 논문의 주요 결과는 정책당국에 해양환경 관리정책 수립과 평가에 유용하게 활용될 수 있다.

• 한국항해항만학회지
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• 제33권7호
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• pp.477-482
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• 2009

In this paper the order picking problem in warehouses is considered, a topic which has received considerable attention from the international academic body in recent years. The order picking problem deals with the retrieval of order items from prespecified locations in the warehouse, and its objective is usually the minimization of travel time or travel distance. Hence, a well-thought order picking policy in combination with an appropriate storage policy will enhance warehouse efficiency and reduce operational costs. This paper starts with a literature overview summarizing approaches to routing order pickers, assigning stock-keeping units to pick locations and designing warehouse layouts. Since the layout design might affect both storage and routing policies, the three factors are interdependent with respect to order picking performance. To test these interdependencies, a simulation experiment was set up, involving two types of warehouse layout, four types of storage policy, five well-known heuristics and five sizes of order picking list. Our results illustrate that from the point of view of order picking distance minimization it is recommended to equip the warehouse with a third cross aisle, although this comes at the cost of a certain space loss. Additionally, we propose a set of most appropriate matches between order picking heuristics and storage policies. Finally, we give some directions for further research and recommend an integrated approach involving all factors that affect warehouse efficiency.

• 정보보호학회논문지
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• 제21권4호
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• pp.39-46
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• 2011

본 논문은 다양한 네트워크 보안장비들이 갖는 고유의 보안정책들을 하나의 시스템 내에 단일 알고리즘으로 구현함으로써 네트워크를 기반으로 하는 공격 발생 시 최적의 통합 보안정책에 대한 연구이다. 실험을 위한 정책들은 Firewall, VPN(Virtual Private Network), IDS(Intrusion Detection System), IPS(Intrusion Prevention System)가 갖는 고유의 방어정책을 상호 조합하는 과정을 통해 최적의 보안 시스템을 구현하기 위한 실험을 한다. 또한, 보안정책 설정에 따른 시스템 부하와 빠른 탐지, 신속하고 효율적인 방어를 위한 통합 메커니즘 설계 및 네트워크 인프라 구현 기반을 확보하는데 의의가 있다.

• KDI Journal of Economic Policy
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• 제45권2호
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• pp.1-20
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• 2023

Carbon pricing is in the spotlight as an economically efficient policy to limit global warming and reduce greenhouse gas emissions. We examine how policymakers can improve social acceptance of a carbon tax, which is the main obstacle in implementing the policy. We conduct a survey experiment to analyze this topic and adopt two different interventions focusing on the use of revenue from a carbon tax and types of information to be provided. Regarding revenue use, we consider 1) tax reductions, 2) lump-sum transfers, and 3) green project investments. For information types, we focus on 1) the economic value of a carbon tax, and 2) the environmental value of a carbon tax. We find that lump-sum transfers have negative impacts on social acceptance of a carbon tax. For those who perceive climate change as a serious issue, moreover, both lump-sum transfers and tax reductions have negative impacts on acceptability. Regardless of the type of information provided, on the other hand, the social acceptance of a carbon tax is increased after the provision of information. Furthermore, the impact of information provision on the social acceptance interacts with the revenue use impacts. When the revenue use and the type of information are consistent with the aim of the policy, the effects of these strategies can be amplified.

• 한국인터넷방송통신학회논문지
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• 제9권5호
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• pp.1-6
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• 2009

MANET(Mobile Ad-hoc NETwork)은 이동하는 노드가 네트워크 위상을 자율적으로 구축하는 특성을 가진 네트워크로써 유선 네트워크와는 다른 여러 가지 특징을 가지고 있다. MANET에서의 정책 기반 망 관리는 노드 간의 QoS를 보장하여 이를 토대로 VANET과 같은 안정성과 편리성을 목표로 하는 응용 분야에 필수적이라 할 수 있다. 본 논문에서는 MANET에 적합한 정책 교환 프로토콜인 COPS-PR을 이용하고 DiffServ 기반의 QoS를 실제 네트워크에서 구현하고 성능을 실험한다.

• 한국IT서비스학회지
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• 제14권1호
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• pp.85-98
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• 2015

As we enter the technology and knowledge-intensive era, standardization has become a key element to increase the sustainability of companies. However, standardization activities have not been proceeded well due to lack of relevant information, financial and human resources and complexity of the authentication process. Thus, in this paper, we analyze the effect of understanding the internal and external standard trends surrounding companies and recognizing the difficulties of standardization process on the needs of standard/standardization education. We suggest an experiment model and associated variables for analysis based on the previous studies. The analysis results from 1,000 companies that belong to telecommunication industry and electrical and electronics industry showed positive relationships among these three variables. Furthermore, we propose major policy directions for increasing standardization effect.

• 산업공학
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• 제24권4호
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• pp.396-407
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• 2011

We develop a cash management model in which firms face randomly occurred investment projects and retrieve investments upon the maturity of these projects. Using the Markov Decision Problem approach, we examine a control policy which dynamically adjusts the cash balance under the discounted cost criterion. The existence of an optimal policy is shown under some conditions. The optimal solution procedure is developed to find the optimal points and the optimal sizes for adjusting the cash balance. In numerical experiment, we investigate important structural properties of the optimal cash management policy.

• 대한산업공학회지
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• 제30권3호
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• pp.241-249
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• 2004

By committing to a long-term replenishment contract, suppliers can mitigate the pressure to find new customers and afford to charge a discounted price to buyers seeking to lower their purchasing costs. In this paper, we develop an analytical model from buyer's perspective for the contracting process to investigate the buyer-supplier interactions. Based on the developed model, we propose an algorithm to derive optimal strategy for the contract. We consider a system with a single buyer and a supplier in a situation where the buyer's inventory is controlled by (R, S) policy under VMI setting. According to the contract, the supplier should replenish the buyer's inventory up to a fixed level every R times during a specified period. The buyer purchases any deficient amount from a spot market at a higher price. We show by computational experiment that our proposed algorithm finds the global optimum solution.

• 한국시스템다이내믹스연구
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• 제5권1호
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• pp.35-47
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• 2004

Analyzers adopt a variety of techniques in analyzing public policy. Based on the results of exploration, they explain problems and suggest prescriptions such as policy alternatives. By doing so, however, they have different degree of confidence in their own results according to what techniques they adopt. This study explores whether system dynamics apporach gives analyzers more confidence on their own simulation results than other approaches do. This study designed an experiment. Three research teams are organized. Each of them applies different analytic techniques on the same policy issue, i.e., introduction of transportation tax. It flnds that researchers using S,D. simulation technique are most confident on what they predict, while researchers adopting survey techniques show moderate degree of confidence on their results. Researchers using regression are least confident.

• 한국경영과학회지
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• 제27권2호
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• pp.33-49
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• 2002

CBM (Condition-Based Maintenance) has increasingly drawn attention in industry because of its many benefits. CBM Problem Is characterized as a state-dependent scheduling model that demands simultaneous maintenance actions, each for an attribute that influences on machine condition. This problem is very hard to solve within conventional Markov decision process framework. In this paper, we present an intelligent machine maintenance scheduler, for which a new incremental decision tree learning method as evolutionary system identification model and shortest path problem as schedule generation model are developed. Although our approach does not guarantee an optimal scheduling policy in mathematical viewpoint, we verified through simulation based experiment that the intelligent scheduler is capable of providing good scheduling policy that can be used in practice.