• Management Science and Financial Engineering
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• 제6권2호
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• pp.1-28
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• 2000

Supply chain management issues faced by a manufacturing company are considered in this paper. The supply chain consists of a manufacturing company and its suppliers. The manufacturer produces multiple products with inputs (e.g., raw materials) from the suppliers, but each product needs a different mix of these inputs. The market demand for the products is uncertain. We develop a mathematical model and algorithm, which can help the manufacturer to solve its procurement decision problem: how much of raw material to order from which supplier. The model incorporates such factors as market demand uncertainty, product's input requirement, supplier's as well as manufacturer's capacity, plus other costs comparable with those in a typical newsboy problem. Numerical examples are presented to see the interacting effects among critical parameters and variables.

• 유통과학연구
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• 제11권9호
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• pp.31-34
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• 2013

Purpose - This paper aims to explain that the Chinese distribution market will continue to bring tremendous business opportunities to commercial enterprises, given the relatively strong economic fundamentals and substantial government-led measures to boost domestic demand. Research design, data, methodology - A survey was conducted on China's retail market data during 2012. By empirically analyzing the data for retail sales of online markets and franchises, we conclude that the online retail market in China will continue to grow. Results - Based on data from 2012, 2013 is expected to be a challenging year for the retail sector, as both external and internal pressure is likely to persist. This paper outlines some major challenges facing retailers in China. Conclusions - The study shows that retailers in the Chinese market will face some major challenges: 1) the Chinese retail market is considerably affected by an uncertain economic outlook 2) an unfair environment of competition exists and 3) product safety is a serious issue. However, in the future, China's retail market will continue to bring tremendous business opportunities to commercial enterprises, given the relatively strong economic fundamentals and substantial government-led measures to boost domestic demand.

• 한국경영과학회지
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• 제4권1호
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• pp.59-64
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• 1979

The application of optimization techniques to the planning of industrial, economic, administrative and military activities with random technological coefficients has been extensively studied in the literature. Stochastic (linear) programs with simple recourse essentially model the allocation of scarce resources under uncertainty with linear penalties associated with shortages or surplus. This work on a problem with a discrete random resource vector, "The allocation of aircraft under uncertain demand" given in (1), is easily and efficiently handled by the application of the recently developed Wets' algorithm (8) for solving stochastic programs with simple recourse, which approves that such class of stochastic problems can be solved with the same efficiency as solving linear programs of the same size. It is known that the algorithm is also applicable to stochastic programs with continuous random demands for their approximate solutions.

• 대한안전경영과학회지
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• 제15권1호
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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.

• 한국화재소방학회논문지
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• 제21권3호
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• pp.24-32
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• 2007

도시가 복잡화되고 새로운 인화성 물질이 사용되는 등 소방환경이 불확실해지는 상황 속에서 소방장비나 시설, 기술을 도입하기 위한 예산이 충분하게 마련되지 않으면 소방서비스의 질적 수준과 소방공무원의 안전이 심각한 영향을 받는다. 따라서 화재나 재난을 효과적으로 방지하기 위해서는 사업비 예산이 증가되어야 한다. 본 논문은 소방수요의 변화와 소방예산 및 사업비예산의 변화 및 비중을 살펴보았다. 또한 소방수요와 사업비 예산의 관계는 어떤 관계가 있는지, 상관관계분석과 회귀분석을 통하여 조사하였다. 분석결과, 소방수요 중에서 구조건수와 구급건수는 사업비예산을 결정하는데 유의적인 변수로 선정되었다.

• 산업경영시스템학회지
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• 제46권2호
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• pp.109-115
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• 2023

This paper studied the problem of determining the optimal inventory level to meet the customer service target level in a situation where the customer demand for each branch of a nationwide retailer is uncertain. To this end, ISR (In-Stock Ratio) was defined as a key management indicator (KPI) that can be used from the perspective of a nationwide retailer such as Samsung, LG, or Apple that sells goods at branches nationwide. An optimization model was established to allow the retailer to minimize the total amount of inventory held at each branch while meeting the customer service target level defined as the average ISR. This paper proves that there is always an optimal solution in the model and expresses the optimal solution in a generalized form using the Karush-Kuhn-Tucker condition regardless of the shape of the probability distribution of customer demand. In addition, this paper studied the case where customer demand follows a specific probability distribution such as a normal distribution, and an expression representing the optimal inventory level for this case was derived.

• 한국경영과학회지
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• 제38권2호
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• pp.43-63
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• 2013

Remanufacturing is a process of recovering end-of-life products into serviceable parts for producing new products. Due to the limited supply of recovery cores to remanufacture, a remanufacturing firm also needs to produce or procure new parts for fulfilling the demand. This paper is targeted for solving the problem of determining the optimal amount of newly produced and remanufacturing parts, which is called production and remanufacturing planning (PRP) problem, under uncertain supply of recovery cores. The new production mitigates the risk of insufficient core supply while it takes more costs than the remanufacturing. The PRP model in this paper also considers disassemble-to-order (DTO) environment, in which multiple kinds of parts are remanufactured from multiple products on order of the parts. Whereas existing studies presents only heuristic solutions for DTO remanufacturing, this paper provides an exact solution for this problem and analytical sensitivity of the involved cost parameters, adopting multi-dimensional newsvendor modeling and stochastic linear programming techniques. The result shows that production and remanufacturing plans for multiple products are mutually dependent, and a change of cost parameters involved in only one part is propagated to all other parts.

• 지역사회간호학회지
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• 제28권2호
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• pp.182-195
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• 2017

Purpose: This study explores school nurses' emergency care experiences and their needs for systemic institutional support. Methods: Data were collected in 2016 from the interviews with five focus groups comprising thirty school nurses. Qualitative content analysis was then performed using the collected data. Results: The study found that school nurses were vulnerable to over-reaction in uncertain situations as the school's sole health service provider. The study's findings are divided into ten categories. 1) Major obstacles to overcome as the sole health service provider, 2) Assessing an uncertain situation and making appropriate decisions, 3) Providing limited first aid while maintaining control over the situation, 4) Referring or transferring a student to a hospital that creates tensions and raises cost, 5) Becoming an advocate for information disclosure and treatment, 6) Ensuring follow-up actions and proper transfer of responsibility, 7) Making preparations for future emergency, 8) Responding to conflicts arising from over-reaction as a safeguard and professional expertise, 9) Need for the development of standardized manual for school emergency care, 10) Need for practical case-based training. Conclusion: The findings of this study should contribute to the development of the programs aimed at improving school emergency care and the professional competence of school nurse.

• 한국수자원학회논문집
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• 제36권1호
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• pp.105-115
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• 2003

본 연구에서는 상수관망의 신뢰도해석을 위해 수리적 신뢰도와 기계적 신뢰도를 통합적으로 해석할 수 있는 통합신뢰도 해석모형을 개발하였다. 수리적 신뢰도는 불화실성을 가진 변수들에 대하여 적절한 변동계수를 가진 확률 분포형을 적용시켜 임의변수로 고려하였고 기계적 신뢰도는 관망의 각 구성물에 대해 순차적 고장을 발생시켜 각 고장에 대한 영항을 해석하여 신뢰도를 산정하였다. 덕 연구모형을 실제관망에 대한 적용결과 본 모형은 실제관망에 대한 불확실한 요소를 고려한 신뢰도를 잘 모의하고 있었다. 앞으로 신뢰성있는 상수관망 설계 및 기존 관망의 신뢰도 판정에 본 모형이 적용된다면 기계적 및 수리적으로 객관성이 있는 신뢰도를 가진 상수관망의 건설 및 유지관리가 될 수 있다고 판단된다.

• 자원ㆍ환경경제연구
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• 제24권2호
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• pp.365-410
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• 2015

우리나라의 주택용 전력요금체계는 전력 사용량이 증가함에 따라 가격이 상승하는 구간별 가격체계의 특징을 보이고 있다. 우리나라의 현행 요금체계는 선진국의 경우보다 과도한 누진체계를 갖고 있어, 누진제 완화에 대한 논의가 이어져오고 있다. 기존 국내의 주택용 전력수요함수 추정에 대한 연구는 구간별 가격체계 하에서 주택용 전력수요함수를 추정함에 있어 소비자의 예산제약선이 선형이 아닌 굴절되는 형태를 갖게 된다는 점, 구간별 가격체계 하에서 소비자가 인식하는 가격이 과연 경제학 이론대로 한계가격인가에 관한 점, 가격변수의 내생성에 대한 문제 등을 충분히 고려하고 있지 않은 경우가 많다. 이에 본 연구는 주택용 전력수요함수를 올바르게 추정하여 그 결과를 바탕으로 누진제 완화에 대한 시나리오 분석을 수행하고자 한다.