• 산업경영시스템학회지
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• 제11권18호
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• pp.71-80
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• 1988

Process capability implies the qualitative capability of a process, and it is necessary to specify the process capability by quantification and to evaluate the level with the specified standardizaion. But the process capability index is currently used to evaluate the performance of quality control activity. without considering the characteristics of process structure or the economy of management. Here the researcher would like to redefine process capability and emphasize its index may be used as the measure of managerial assessment and the objective of process quality control in full consideration of the economic aspects of process characteristics. Too little or too much process capability causes a loss of or excess. The proper economic level of process capability varies to each process. The procedure of taking the optimum process capability index is derived from the expected profit function, whereas each method is studied in cases of normal process with one-sided specification and two-sided specification. In addition, the process capability index is presented as a method of quality assurance. And an example is exhibited on wrapping process of 'A' company. The results of this study are summarized at follows. First, though the norminalization of the process capability index is possible by the existing methods, the optimum process capability index can vary to the situation of each process. So, the optimum process capability index which is suggested in this dissertation should be used as the standard to assess process capability. Second, the process capability index can take its effect not just in indicating quality control or managerial records but also in the management of high qualify assurance.

• International Journal of Computer Science & Network Security
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• 제22권2호
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• pp.311-317
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• 2022

The research is devoted to the substantiation of the system approach to the involvement of digital marketing tools as a guarantee of international business development. It is proved that digital marketing, as a type of marketing based on the use of digital technologies allows to make a profit, to promote the brand, as well as goods and services in the market. The digital marketing toolkit system is a set of elements with existing relationships that ensure the effectiveness of the entire digital marketing, which in total is greater than its individual components. The implementation of a systems approach involves the implementation of the philosophy of digital marketing in general, its functions in the form of systems analysis, formation of strategic development goals and entry and promotion in the international market, preparation and implementation of tactical and strategic development plans.The use of such digital marketing tools as: content marketing, social media marketing, Email-marketing, targeted advertising, contextual advertising, media advertising, Search Engine Optimization, affiliate programs and the company's website is analyzed in detail.

• Journal of information and communication convergence engineering
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• 제20권2호
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• pp.103-112
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• 2022

The goal of pattern mining is to identify novel patterns in a database. High utility itemset mining (HUIM) is a research direction for pattern mining. This is different from frequent itemset mining (FIM), which additionally considers the quantity and profit of the commodity. Several algorithms have been used to mine high utility itemsets (HUIs). The original BPSO algorithm lacks local search capabilities in the subsequent stage, resulting in insufficient HUIs to be mined. Compared to the transfer function used in the original PSO algorithm, the V-shaped transfer function more sufficiently reflects the probability between the velocity and position change of the particles. Considering the influence of the acceleration factor on the particle motion mode and trajectory, a nonlinear acceleration strategy was used to enhance the search ability of the particles. Experiments show that the number of mined HUIs is 73% higher than that of the original BPSO algorithm, which indicates better performance of the proposed algorithm.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2011년도 춘계학술발표대회
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• pp.220-223
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• 2011

For successfully commercialized grid systems, it is required to provide an efficient scheduling scheme which is able to optimize benefits for three participants such as consumers, brokers, and providers so that every participant has sufficient benefit to maintain a sustainable market. In this paper, we define this job scheduling problem as an objective optimization problem for three participants. The three objectives are to maximize the success rate of job execution, total achieved profit, and the system utilization. To address the scheduling problem, we propose heuristics referred to as SLA-aware scheduling scheme (SA) for optimal resource allocation. The simulation results show that the improvement and the effectiveness of the proposed scheme and the proposed scheme can outperform well-known scheduling schemes such as first come first serve (FCFS), shortest job first (SJF), and earliest deadline first (EDF).

• 국제학술발표논문집
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• The 4th International Conference on Construction Engineering and Project Management Organized by the University of New South Wales
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• pp.534-541
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• 2011

Risk evaluation approaches for bidding on international construction projects are typically partitioned into three stages: country selection, project classification, and bid-cost evaluation. However, previous studies are frequently under attack in that they have several crucial limitations: 1) a dearth of studies about country selection risk tailored for the overseas construction market at a corporate level; 2) no consideration of uncertainties for input variable per se; 3) less probabilistic approaches in estimating a range of cost variance; and 4) less inclusion of covariance impacts. This study thus suggests a three-staged risk evaluation model to resolve these inherent problems. In the first stage, a country portfolio model that maximizes the expected construction market growth rate and profit rate while decreasing market uncertainty is formulated using multi-objective genetic analysis. Following this, probabilistic approaches for screening bad projects are suggested through applying various data mining methods such as discriminant logistic regression, neural network, C5.0, and support vector machine. For the last stage, the cost overrun prediction model is simulated for determining a reasonable bid cost, while considering non-parametric distribution, effects of systematic risks, and the firm's specific capability accrued in a given country. Through the three consecutive models, this study verifies that international construction risk can be allocated, reduced, and projected to some degree, thereby contributing to sustaining stable profits and revenues in both the short-term and the long-term perspective.

• 한국항만경제학회지
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• 제27권2호
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• pp.297-311
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• 2011

본 논문은 투자수익성을 극대화 할 수 있는 건화물선 운항기업의 해운투자 의사결정 모델을 제시하는 것이 핵심 내용이다. 얼마전 우리나라 4위 해운기업인 대한 해운(주)가 법정 관리를 신청해 큰 충격을 주었는데, 그 이유를 살펴보면 전적으로 투자 의사결정이 잘못된 데 기인한다. 즉 대한해운(주)는 해운 경기가 피크에 이른 2007, 8년도에 집중적으로 산물선을 장기용선 방식의 투자확충 의사결정을 내렸으나, 2009, 10년도에 부정기선 운임지수가 거의 1/10 수준으로 폭락하여 막대한 손실을 보아 결국 자금압박으로 회사가 부도 상태에 이르게 되었다. 이러한 문제는 지난 1980년대 초에도 발생된 바 있으나 여전히 반복되고 있다는 사실이 안타깝다. 따라서 본 논문은 해운 경기가 호황에 있을 때 오히려 일정 선박을 매각하고 필요한 선복량은 단기 용선하여 향후의 경기변동 상황에 대처하도록 하는 의사결정을 말한다. 즉, 해운 경기가 불황국면에 있을 때는 조선경기도 하락 하는 만큼 저가로 선박을 매수 또는 발주하고 서서히 해운 경기가 회복되고 본격적인 상승기에 역시 선가도 급격히 상승하는 시점에 일정 비율의 보유선박을 매각 처분하여 선박 매매차익을 실현하고 다시 경기가 하강한 시점에서 선박을 재매입하는 순환적인 투자 의사결정 모델이 건화물선 해운기업의 수익성 제고에 크게 기여할 수 있다고 본다. 이때 고객서비스 유지를 위해 필요한 선복량은 단기 용선으로 대체하여 가급적 선박 보유 비중을 낮추는 의사결정이 매우 중요한데, 이러한 전략적 투자의사결정 모델은 자본집약적 산업인 해운기업의 재무위험과 영업위험을 모두 낮출 수 있게 된다는 것이 논문의 핵심이다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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• pp.844-847
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• 1997

In this paper, scheduling problem is dealt for the minimization of due date penalty for the customer order. Multiproduct batch processes have been dealt with for their suitability for high value added low volume products. Their scheduling problems take minimization of process operation for objective function, which is not enough to meet the customer satisfaction and the process efficiency simultaneously because of increasing requirement of fast adaptation for rapid changing market condition. So new target function has been suggested by other researches to meet two goals. Penalty function minimization is one of them. To present more precisely production scheduling, we develop new scheduling model with penalty function of earliness and tardiness We can find many real cases that penalty parameters are divergent by the difference between the completion time of operation and due date. That is to say, the penalty parameter values for the product change by the customer demand condition. If the order charges different value for due date, we can solve it with the due date period. The period means the time scope where penalty parameter value is 0. If we make use of the due date period, the optimal sequence of our model is not always same with that of fixed due date point. And if every product have due date period, due date of them are overlapped which needs optimization for the maximum profit and minimum penalty. Due date period extension can be enlarged to makespan minimization if every product has the same abundant due date period and same penalty parameter. We solve this new scheduling model by simulated annealing method. We also develop the program, which can calculate the optimal sequence and display the Gantt chart showing the unit progress and time allocation only with processing data.

• 산업경영시스템학회지
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• 제39권4호
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• pp.137-146
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• 2016

In recent years, business environment is faced with multi uncertainty that have not been suffered in the past. As supply chain is getting expanded and longer, the flow of information, material and production is also being complicated. It is well known that development service industry using application software has various uncertainty in random events such as supply and demand fluctuation of developer's capcity, project effective date after winning a contract, manpower cost (or revenue), subcontract cost (or purchase), and overrun due to developer's skill-level. This study intends to social contribution through attempts to optimize enterprise's goal by supply chain management platform to balance demand and supply and stochastic programming which is basically applied in order to solve uncertainty considering economical and operational risk at solution supplier. In Particular, this study emphasizes to determine allocation of internal and external manpower of developers using S&OP (Sales & Operations Planning) as monthly resource input has constraint on resource's capability that shared in industry or task. This study is to verify how Stochastic Programming such as Markowitz's MV (Mean Variance) model or 2-Stage Recourse Model is flexible and efficient than Deterministic Programming in software enterprise field by experiment with process and data from service industry which is manufacturing software and performing projects. In addition, this study is also to analysis how profit and labor input plan according to scope of uncertainty is changed based on Pareto Optimal, then lastly it is to enumerate limitation of the study extracted drawback which can be happened in real business environment and to contribute direction in future research considering another applicable methodology.

• 정보과학회 논문지
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• 제44권8호
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• pp.854-859
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• 2017

기지국(Base Station)에서 인기있는 콘텐츠(비디오)를 캐싱하는 것은 전송 대기 시간을 줄일 수 있는 효율적인 방법이다. 본 논문에서는 콘텐츠 제공자(CP)가 캐싱 절차에 참여하도록 동기를 부여하기 위해 무선 네트워크에서의 사전 인센티브 캐시 메커니즘을 제안한다. 하나 이상의 Infrastructure Provider(InP)와 많은 CP로 구성되어 있는 시스템에서, InP는 InP의 기지국에서 캐시하는 파일 수를 결정하기 위해 CP가 경쟁하는 동안 수익을 극대화할 수 있도록 CP에 청구되는 가격을 정의하는 것을 목표로 한다. 또한 InP와 CP는 Stackelberg 게임이론 내에서 각각 선도자와 추종자로 정의된다. Backward Induction을 기반으로, 각 CP가 각 기지국에서 임대한 캐시 공간의 양을 정확하게 측정한 후, 최적화 문제를 해결함으로써 InP가 각 CP를 임대하는 가격을 계산한다. 이것은 비 균일 가격 체계를 고려한 점에서 기존 연구와 차이가 있다. 수치 결과는 제안 된 방법을 통해 InP의 이익이 균일 가격 책정보다 높다는 것을 보여준다.

• 한국철도학회논문집
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• 제10권6호
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• pp.742-750
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• 2007

본 논문은 장래 도입되는 KTX2 고속차량을 이용한 중련편성 운영계획 최적화를 위한 방법론 제시를 목적으로 한다. 중련편성 운영계획 최적화를 위한 수리적 모형을 제시하고, 제안된 수리적 모형의 적용방안을 제시한다. 특히 확률적 수요를 고려한 모형을 수립하여, 계획수립 단계에서 수요의 확률적 요소를 보다 현실적으로 반영하고, 모형내에서 좌석 서비스 수준을 직접 조정할 수 있다.