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다수요인을 가진 설비배치문제를 위한 모형과 simulation annealing 알고리즘
홍관수 한국경영과학회 1995 韓國經營科學會誌 Vol.20 No.1
This paper presents a model and algorithm for solving the multi-factor plant layout problem. The model can incorporate more than two factors that may be either quantitative or qualitative. The algorithm is based on simulated annealing, which has been successfully applied for the solution of combinatorial problems. A set of problems previously used by various authors is solved to demonstrate the effectiveness of the proposed methods. The results indicate that the proposed methods can yield good quality for each of eleven test problems.
洪寬洙 啓明大學校 産業經營硏究所 1997 經營經濟 Vol.30 No.2
SUMMARY The facility layout problem has the goal of locating departments in a floor to achieve the greatest efficiency in producing a product or service. This problem is usually formulated as the quadratic assignment problem(QAP). Traditionally, two basic approaches have been used to solve plant layout problems. One is a quantitative approach which tries to minimize material handling costs between departments. The other is a qualitative approach which considers subjective closeness ratings. Each approach has its oun set of advantages and disadvantages. Recently, work has been done to integrate the two approaches. However, the problem of finding optimal layout is hard and traditional approaches are not computationally feasible. In this paper, a genetic algorithm is presented for obtaining efficient layouts. To test the effectiveness of the heuristic. a set of examples previously used by various authors is solved and the results are compared to those from other known heuristics. The comparison indicates that the proposed method performs well for the classical test problems. The facility layout problem has the goal of locating departments in a floor to achieve the greatest efficiency in producing a product or service. This problem is usually formulated as the quadratic assignment problem (QAP). Traditionally two basic approaches have been used to solve plant layout problems. One is a quantitative approach which tries to minimize material handling costs between departments. The other is a qualitative approach which considers subjective closeness ratings. Each approach has its own set of advantages and disadvantages. Recently work has been done to integrate the two approaches. However, the problem of finding optimal layout is hard and traditional approaches are not computationally feasible. In this paper, a genetic algorithm is presented for obtaining efficient layouts. To test the effectiveness of the heuristic, a set of examples previously used by various authors is solved and the results are compared to those from other known heuristics. The comparison indicates that the proposed method performs well for the classical test problems.
과업불확실성과 컴퓨터 활용능력이 사용자 만족도에 미치는 영향
홍관수,이지우 啓明大學校 産業經營硏究所 2002 經營經濟 Vol.35 No.1
End users exhibit different computing abilities and behavior. Assessing individual's capabilities with respect to end user technologies is central to both research on end user computing(EUC) and management of EUC. The capability is composed of an individual's ability to creatively apply end user technologies. The study uses results from a survey of 233 users to test a structural model examining the hypothesized relationships among the following constructs: task uncertainty, finesse of user technologies, and decision satisfaction. The finding indicated that finesse of user technologies is the dominant factors affecting the success of EUC. Reasons for and implications of these observed relationships are discussed.
홍관수 啓明大學校 産業經營硏究所 2003 經營經濟 Vol.36 No.1
In recent studies, there has been much interest in knowledge sharing between the supplier and buyer and its effect on supply chain management (SCM) success. This study examines the relationship between knowledge sharing and SCM success. The effect of informatization level is modeled and tested. Findings indicate that all hypotheses in the model are significant. The result of this study indicates that knowledge sharing is significantly associated with the degree of attainment of SCM success. This means that the higher the degree of knowledge sharing, the greater the accomplishment of the benefit of SCM. This research also supports the importance of informatization level in the knowledge sharing through the supply chain management relationship. Therefore, the association between the degree of knowledge sharing and SCM success is moderated by informatization level.
洪寬洙 啓明大學校 會計情報硏究所 1997 會計情報리뷰 Vol.- No.2
기업부실은 투자자뿐만 아니라 경영관리자, 채권자, 종업원, 고객, 주주 등과 같은 이해관계자들에게 경제적손실을 초래하고 더 나아가 사회적, 경제적으로 막대한 비용을 초래한다. 그러므로 기업부실화를 사전에 예측할 수 있다면 이해관계자들은 조기에 예방적 조치를 취하여 부실에 따른 비용 및 경제적 비효율성을 최소화할 수 있다. 이러한 관점에서 예측력을 높이기 위한 많은 연구들이 수행되어 왔다. 그 중의 한 방법이 특정기법의 결과를 다른 기법의 입력값의 일부로 사용하여 예측력을 높이는 것이다. 본 연구의 실증분석 결과는 각 기법을 독립적으로 사용하는 경우보다 한 기법의 결과를 다른 기법의 입력값의 일부로 사용할 때 예측력을 높일 수 있음을 보여 주었다. 또한 대부분의 기업부실예측 연구에 사용된 신경망구조는 전방향네트웍구조를 가진 역전파학습이고, 역전파학습에서 가장 널리 사용된 학습방법과 전이함수는 delta learning rule과 sigmoid함수이다. 그러나 본 연구의 실증분석 결과는 delta learning rule과 sigmoid함수 대신에 이들의 변형된 형태인 normalized cumulative delta learning rule과 hyperbolic tangent함수를 사용함으로써 더 좋은 결과를 얻을 수 있음을 보여주었다.