• 융합보안논문지
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• 제15권3_2호
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• pp.71-76
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• 2015

글로벌 기업들은 글로벌 생산 네트워크를 구축하여 세계 시장의 수요에 대응하고 있다. 그러나 해외 공장 설립 및 운영 시 현지 노동자들의 임금문제, 낮은 생산의욕 및 도난사고로 인한 피해가 속출하고 있다. 따라서 본 논문에서는 글로벌 기업의 해외 공장에서 원자재를 IP Camera와 RFID Box를 이용하여 관리함으로써, 실시간적인 재고 파악과 원자재의 도난 또는 멸실되는 상황을 방지할 수 있는 원자재 유실 방지 모델을 제안하였다. 이 모델은 원격지에 있는 재고의 관리가 가능하여 보다 비용 효율적인 생산관리를 실현할 수 있게 해주며, 불합격품 거래로 인한 브랜드 이미지 손실과 수익 저하를 방지할 수 있도록 해준다.

• 융합정보논문지
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• 제11권3호
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• pp.125-131
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• 2021

모든 장비는 지속적인 사용에 의해 공정의 생산성과 경제성은 감소한다. 그러므로 일정 시점에서는 공정평균이동 문제라는 설비에 대한 예방보전이 필요하다. 설비의 보전시기를 결정함에 있어, 우리는 기존 연구에서 부분적으로 진행되어 온 보전모형들을 확장하고 통합함으로써 다양한 상황이 발생하는 생산 현장을 반영한 보전모형을 제시하고자 한다. 이를 구현하기 위해 제품규격은 상하한의 양쪽을 설정했으며, 적합품에 대해 품질손실함수를 도입했다. 마모수준에 대한 공정분산은 상수가 아닌 함수로 설정했으며, 특히 제품생산량과 보전비용에 있어서는 마모수준에 대한 함수를 개발하여 적용했다. 이로써 본 연구는 현장의 다양한 공정에 대부분 적용할 수 있는 보전모형이 될 것으로 생각한다. 추후 연구에서는 보전모형을 구성하는 부적합비용, 품질손실비용, 보전비용에 더하여 제품판매로 인한 수익 항목을 추가한 전체 수익 최대화 문제로 전개할 수 있을 것이며, 크게는 본 연구의 모형에 고장률을 도입한 보전모형으로의 확장도 생각해 볼 수 있을 것이다.

• 산업공학
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• 제13권2호
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• pp.211-216
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• 2000

A methodology that determines the optimal shutdown time of a nuclear power plant is suggested. The shutdown time is decided considering the trade off between the cost of accident and the loss of profit due to the early shutdown. We adopt the bayesian approach in manipulating the model parameter that predicts the accidents. We build decision tree models and apply dynamic programming approach to decide whether to shutdown immediately or operate one more period. The branch parameters in decision trees are updated by bayesian approach. We apply real data to this model and provide the cost of accidents that guarantees the immediate shutdown.

• 유통과학연구
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• 제18권1호
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• pp.85-94
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• 2020

Purpose: This study investigates the influence of VMI on the supply chain performance over time. By examining each supply chain member's ongoing performance, this study figures out how VMI allows the vendor to overcome the initial loss and eventually provides the benefit to every supply chain member. Research design, data, and methodology: The proposed mathematical model describes the supply chain system where a manufacturer and a retailer make the operational decisions to maximize their own profits. By using the numerical examples with arbitrary data, VMI and non-VMI are compared in terms of their profit changes over time. Results: The numerical analysis shows that VMI results in greater overall profits for both manufacturer and retailer than non-VMI, while the manufacturer make a loss in the early stage of VMI implementation. This study also examines the impacts of certain conditional factors on the performance of VMI. Conclusions: This study supports the idea that VMI leads to manufacturer's initial loss but it brings greater profits to both manufacturer and retailer than non-VMI after all. In addition, the result of this study provides the managerial implications about the particular condition that allows VMI to achieve a significant financial performance improvement over non-VMI.

• 부동산연구
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• 제27권1호
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• pp.7-16
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• 2017

본 연구는 부동산시장에서 개인투자자들에게 전망이론에 따른 투자패턴이 존재하는지 용도지역을 구분하여 검증하였다. 연구의 방법으로는 개인투자자들의 최대잠재이익률과 최대잠재손실률을 이용하였으며, 추가적으로 처분효과의 모형인 정성훈 박근우(2015) 모형을 이용하여 추가 분석을 실시하였다. 분석결과, 개인투자자들에게 전망이론에 따른 투자패턴과 처분효과가 존재하는 것으로 밝혀졌으며, 용도지역에 따른 차이가 나타났다. 개인투자자의 손실회피 성향이 주거용도 부동산자산 보다 상업용도의 부동산 자산에서 더 크게 나타났다. 투자행태에서 이러한 차이는 부동산의 목적과 임대료의 존재가 용도에 따른 투자행태의 차이를 만들어 내는 것으로 판단된다. 본 연구의 한계점으로는 정성훈 박근우(2015)의 연구와 같이 지가지수를 이용하여 미실현이익과 미실현손실을 분석하였다는 점이다. 이는 부동산투자심리에 대한 심도깊은 연구를 위해서는 새로운 부동산 가격지수에 대한 개발 또는 부동산자산에 대한 Benchmark가 필요하다는 것을 의미하며, 추후연구에서는 이를 발전시킬 필요가 있다.

• International Journal of Internet, Broadcasting and Communication
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• 제13권2호
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• pp.52-59
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• 2021

In this paper, we propose a system that allows small business owners focusing on the restaurant business to easily understand the management situation, and to manage the operation and management centering on the cost of food materials and profits and losses. In general, the metadata structure is different depending on the POS system, so it is necessary to first develop a standardized metadata model for a food material cost management system for small business owners in various industries. For that reason, the system proposed in this paper was applied to the cost management app by referring to the development of a data model using the metadata standard. In addition, in order to implement a cost profit/loss management system for small business owners in the restaurant industry, it was designed to support standardized metadata models from various types of POS systems, and is a hybrid app that can support a smart environment. Interface) was configured.

• 품질경영학회지
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• 제28권4호
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• pp.194-203
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• 2000

This paper is concerned with an economic selection of both the process mean and the lower limit for a continuous production process with the quadratic loss function. It is assumed that the quality characteristic is normally distributed with a known variability. A profit model is developed which involves selling price, production cost, reprocessing cost and the cost which is incurred by imperfect quality. Methods of finding optimum values of the process mean and the lower limit are presented, and a numerical example is given.

• 전기학회논문지P
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• 제61권2호
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• pp.74-81
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• 2012

The purpose of this study provides the theoretical model for protecting the economic and social loss from the current alternative fuel vehicle which is developed without compatibility and senseless one's own through verifying the statistical significant by method of measuring analysis. The market scale of alternative fuel vehicle depends on customer's and station's expectation about the number of potential vehicle users. It is very difficult for vehicle manufacturer to make a decision on the standard alternative fuel vehicle as it might reduce profit and market share. Accordingly, the development of alternative fuel vehicle should have manufacturer confident on the potential profit in the future. Moreover, if we decide to use the non-standard fuel after we started to use the standard fuel, it would take a huge cost comparing with starting to use the standard fuel only. As a result, once one of companies starts to provide the non-standard fuel service, it is getting more difficult to use the standard fuel going forward. Consequently, we may review the possibility of choice on the standard fuel before the vehicle manufacturer starts service with non-standard fuel.

• KIEAE Journal
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• 제14권4호
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• pp.5-10
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• 2014

Since construction work is an indispensable part of daily lives, complaints of noise are unavoidable. Noise control in construction sites is normally known as a regulation by a government and self-motivated noise controls rarely occur. In this paper, a marketing strategy is proposed to provide a potential value of noise control for real estate developer. First, people's perception to construction noise was examined in means of collecting and analyzing media reports between 2005 to 2011. Then decibel test was done in order to test noise generated by different devices in a construction site in various distances. According to the theory of core competency, a conceptual model was raised to illustrate profit and loss situation of the real estate developers in the case they invest more in noise control. The construction noise is discussed that it will ruin people's perception to the company's brand image and reputation. Also, the investment in the creation of silent site is discussed that it will not only bring benefit to the brand image work but also have value of profit in the market.

• 한국산업정보학회:학술대회논문집
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• 한국산업정보학회 2008년도 추계 공동 국제학술대회
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• pp.164-169
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• 2008

The increasing late-payment rate of credit card customers caused by a recent economic downturn are incurring not only reduced profit of department stores but also significant loss. Under this pressure, the objective of credit forecasting is extended from presumption of good or bad customers to contribution to revenue growth. As a method of managing defaults of department store credit card, this study classifies credit delinquents into some clusters, analyzes repaying patterns of customers in each cluster, and develops credit forecasting system to manage delinquents of department store credit card using data of Korean D department store's delinquents. The model presented by this study uses Kohonen network, a kind of artificial neural network of data mining techniques to cluster credit delinquents into groups. Logistic regression model is also used to predict repayment rate of customers of each cluster per period. The accuracy of presented system for the whole clusters is 92.3%.