• 한국산업정보학회논문지
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• 제13권5호
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• pp.55-65
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• 2008

기업의 전략적 의사결정자는 불확실성과 복잡성에 직면해왔다. 그리고 그들은 이러한 환경 하에서 의사결정을 내려야 함에도 불구하고 그들의 의사결정에 필요한 충분한 시간, 인력, 예산, 그리고 지식이 충분히 주어지지 않는다. 그래서 그들은 그 분야에 대한 암묵적 지식을 지닌 전문가들의 지원을 받는 수 밖에 없다. 그러나 의사결정자들이 어떤 문제에 직면할 때 마다 의사결정에 필요한 새로운 지식을 창조하고 변형하고 결합하고 응용하는 다른 절차나 방법을 발견하는 것은 매우 어렵다. 본 논문은 노나카에 의해 제안된 지식변환과정을 이용함으로써 전략적 의사결정을 지원할 새로운 방법을 제안한다. 본 연구는 컨설팅 산업분야에서 전략적 의사결정의 응용사례를 예시한다. 이 논문은 제안된 방법에 기초한 의사결정지원기법으로서 인지지도를 사용한다.

• The Journal of Asian Finance, Economics and Business
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• 제8권4호
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• pp.381-389
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• 2021

This study aims to examine the effect of strategic planning, human resource management, and asset management on increasing the productivity of the rural economy. This research is a quantitative approach. The research sample was carried out by simple random sampling and data collection using a questionnaire so that 129 respondents were determined. The research test was conducted using multiple linear regression with the OLS (Ordinary Least Square model. The results obtained were that strategic planning, human resource management, and asset management had a significant positive effect on increasing the productivity of the rural economy. This shows that strategic planning is the most important thing in industry, companies, or organizations as a guideline to achieve optimal performance. In addition, human resource management and asset management are positive supports for increasing the economic productivity of rural communities to achieve welfare goals. This research proves that strategic planning must be carried out by considering the existing potential, both sources. natural resources, human resources, and economic resources Meanwhile, human resource management and asset management are mandatory to support the sustainability of an organization or company so that the benefits of the study as study material in strategic decision making, both in business and public policy.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 2002년도 춘계공동학술대회
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• pp.734-741
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• 2002

The importance of efficient Supply Chain Management is increasing in accordance with recent industrial environment, such as globalization of business, complexity and diversity of company's management structure, and variety of customer's demand. In a rapidly changed environment of business, quick and efficient decision making is the important matter to the survival of the company. The purpose of this study supports decision making for efficient supply chain management. In this study, we consider simultaneously and mutually reflecting the preference of each constituent (Supplier, Manufacturing plant, Distribution center, Customer) on supply chain network, and decide company's strategic choice and coordinated production/distribution models of company. The Analytical Hierarchy Process is used for decision making of qualitative and quantitative elements. We use the results of AHP as inputs and propose mathematical models thru Mixed Integer Programming.

• 산업공학
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• 제14권2호
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• pp.120-126
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• 2001

Virtual manufacturing is a technology facilitating effective development and agile manufacturing of products via sophisticated computer models representing physical and logical schema and behavior of real manufacturing systems including manufacturing resources, environments, and products. Based on these models, virtual manufacturing supports decision making and error checking in the entire manufacturing processes from design to mass production. At first, we analyzed manufacturing preparation activities of the four major production shops such as press, body assembly, painting and final assembly, of a Korean automotive company. We then developed the workflow models out of the analysis by the IDEF methodology, and generated a strategic plan for the systematic application of the virtual manufacturing technologies. We identified many manufacturing preparation activities that can be improved by the application of virtual manufacturing technologies. Finally, we estimated the effect of improvement including time savings in car development processes and corresponding cost savings.

• 대한산업공학회지
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• 제39권1호
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• pp.1-9
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• 2013

The current manufacturers have generated tremendous amount of digitized product data to efficiently share and exchange it with other stakeholders or various software systems for product development. The digitized product data is a valuable asset for manufacturers, and has a potential to support high level strategic decision makings needed at many stages in product development. However, the lack of studies on extraction of key performance indicators(KPIs) from product data management(PDM) databases has prohibited manufacturers to use the product data to support the decision makings. Therefore this paper examines a possibility of an architecture that supports KPIs for evaluation of product development performances, by applying multidimensional product data model and on-line analytic processing(OLAP) to operational databases of product data management. To validate the architecture, the paper provides a prototype product data management system and OLAP applications that implement the multidimensional product data model and analytic processing.

• 디지털융복합연구
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• 제10권11호
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• pp.197-202
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• 2012

내륙물류의 생산성 향상 및 친환경적 체계 구축을 위해 많은 국가에서 블록 트레인 서비스(Block Train Service) 연구가 활발히 진행되고 있다. 하지만 철도부문의 정부 독점 운영 상황과 대부분의 물류정보가 기업의 영업기밀에 속하는 물류산업의 특성 등으로 인해 BT 서비스에 대한 일반의 이해와 연구적 접근이 쉽지 않다. 이에 본 연구에서는 BT 운용에 필요한 학습 및 전략적 판단을 지원하는 BTS 시뮬레이터를 개발하였다. 이를 위해 국내 대표 BT 운영사인 K사의 실무자들을 대상으로 심층 인터뷰와 관련 자료의 분석을 진행하였다. 본 시뮬레이터는 K사의 부산신항-의왕 구간 사례를 참조하였으며, BT 운영에 관한 시나리오 생성 및 분석 기능을 지원한다. 본 연구는 새로운 형태의 BT운영 학습 및 전략 분석 지원 기술을 연구하였다는 데 의의가 있다.

• 품질경영학회지
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• 제33권4호
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• pp.21-41
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• 2005

This study analyzes the Internet utilization pattern of customer by comprehensively investigating the previous studies on the behavior pattern of customer in terms of Internet business. Based on the analysis, this study develops research framework that supports strategic decision-making for resource allocation in Internet business. Such research framework would be helpful for providing the typology of Internet business model that can be specialized by each industry. As a result of the simulation analysis, it was found that the optimal resource allocation portfolio providing maximum profits to the Internet bookstore involves large-scale investment on delivery service and customer support service which are the key factors for post-purchase customer satisfaction, regardless of the growth pattern or size of Internet bookstore market. Consequently, from the above analysis, the investment ratio of resources for the profit maximization of Internet bookstore was drawn. Conclusively, based on the comprehensive examination of the results, this study provided a framework for dynamic resource allocation decision-making, and proposed a management strategy which allows consumers to shop under more favorable environment, and simultaneously enables the Internet bookstore to accomplish management objectives such as continuous growth and profit maximization.

• Educational Technology International
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• 제18권2호
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• pp.159-191
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• 2017

Academic analytics guides university decision-makers to assign limited resources more effectively. Especially, diverse academic courses clustered by the usage patterns and levels on Learning Management System(LMS) help understanding instructors' pedagogical approach and the integration level of technologies. Further, the clustering results can contribute deciding proper range and levels of financial and technical supports. However, in spite of diverse analytic methodologies, clustering analysis methods often provide different results. The purpose of this study is to present implications by using three different clustering analysis including Gaussian Mixture Model, K-Means clustering, and Hierarchical clustering. As a case, we have clustered academic courses based on the usage levels and patterns of LMS in higher education using those three clustering techniques. In this study, 2,639 courses opened during 2013 fall semester in a large private university located in South Korea were analyzed with 13 observation variables that represent the characteristics of academic courses. The results of analysis show that the strengths and weakness of each clustering analysis and suggest that academic leaders and university staff should look into the usage levels and patterns of LMS with more elaborated view and take an integrated approach with different analytic methods for their strategic decision on development of LMS.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 1996년도 춘계공동학술대회논문집; 공군사관학교, 청주; 26-27 Apr. 1996
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• pp.514-517
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• 1996

In solving multi-level knapsack problems, conventional heuristic approaches often assume a short-sighted plan within a static decision enviornment to find a near optimal solution. These conventional approaches are inflexible, and lack the ability to adapt to different problem structures. This research approaches the problem from a totally different viewpoint, and a new method is designed and implemented. This method performs intelligent actions based on memories of historic data and learning. These actions are developed not only by observing the attributes of the optimal solution, the solution space, and its corresponding path to the optimal solution, but also by applying human intelligence, experience, and intuition with respect to the search strategies. The method intensifies, or diversifies the search process appropriately in time and space. In order to create a good neighborhood structure, this method uses two powerful choice rules that emphasize the impact of candidate variables on the current solution with respect to their profit contribution. A side effect of so-called "pseudo moves", similar to "aspirations", supports these choice rules during the evaluation process. For the purpose of visiting as many relevant points as possible, strategic oscillation between feasible and infeasible solutions around the boundary is applied for intensification. To avoid redundant moves, short-term (tabu-lists), intermediate-term (cycle detection), and long-term (recording frequency and significant solutions for diversification) memories are used. Test results show that among the 45 generated problems (these problems pose significant or insurmountable challenges to exact methods) the approach produces the optimal solutions in 39 cases.lutions in 39 cases.

• 경영정보학연구
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• 제8권3호
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• pp.225-243
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• 2006

최근 대기업이 독자적으로 지원하는 모기업 주도적 협업 IT화 사업이 본격적으로 추진되고 있다. 모기업이 자체적으로 협력업체에 정보화 수준 평가를 위한 정보화 등급 체계를 설계하고 이를 기반으로 최우선적으로 협력업체가 조기에 ERP(Enterprise Resource Planning) 시스템 운영을 최고 수준으로 향상시켜 상생 협력 네트워크의 경쟁력을 강화 하자는 목표로 협업 IT화 사업을 추진하고 있는 것이다. 본 논문에서는 삼성전자가 독자적으로 추진해온 협업 IT화 사업이 초기 1년을 경과하고 있는 상황에서 사업 성과에 영향을 주는 주요 성공요인을 실증적으로 분석하고 이를 통해 장기적인 정책 수립과 지원 방향을 제시하고 있다. 연구 결과는 상생경영 기반 구축을 위한 정책 수립과 지속가능한 성과 유지를 위한 과제를 제시하는데 기여할 것으로 기대된다. 또한, 삼성전자 사례를 통해 국내 대기업이 추진하고 있는 협업 IT화 사업의 성공적 수행에도 활용될 것으로 예상된다.