• 대한안전경영과학회지
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• 제11권2호
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• pp.153-158
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• 2009

An optimal selection problem of SCM system is one of the critical issues for the company's competitiveness and performance under global economy. This paper presents a hierarchy model consisted of characteristic factors for introducing SCM system and an AHP (Analytic Hierarchy Process) based decision-making model for SCM system evaluation and selection. The proposed model can systematically construct the objectives of SCM system selection to meet the business goals. This paper focuses on selecting an optimal SCM system considering both all decision factors and sub-decision factors of a hierarchy model. Especially, the benefit/cost analysis is applied to choose SCM system. A case study shows the feasibility of the proposed model and the model can help a company to make better decision-making in the SCM system selection problem.

• 한국컴퓨터정보학회논문지
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• 제12권4호
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• pp.169-177
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• 2007

본 연구에서는 기업의 비용 절감, 품질 향상, 수익성 및 유연성 향상 등에 직접적인 영향을 미치며, 이를 통하여 기업의 운영과 재정, 경쟁력 등에 영향을 미치는 전략적으로 매우 중요한 의사결정인 공급업체 선정을 위한 평가 모형 및 평가방법을 제시하고자 하였다. 이를 위하여 본 연구에서는 연구 대상 분야를 사무용품 및 사무기기 분야로 한정하여 사무용품 및 사무기기 공급업체 선정을 위한 평가요인을 1단계에서는 사무용품 및 사무기기 공급관련 요인, 제품관련 요인, 거래기업의 관리능력관련 요인으로 분류하고, 각 요인별로 세부요인을 설정하여 총 16개의 세부요인으로 분류하고, 각 요인별 상대적 중요도 산출을 위하여 설문조사를 실시하였다. 평가 요인별 상대적 중요도는 AHP기법을 이용하여 도출하였으며, 본 모형의 실제적인 활용 가능성을 제시하기 위하여 사무용품 및 사무기기 공급업체에 대한 평가 요인별 만족도를 도출하여 요인별 상대적 중요도를 이용한 공급업체에 대한 만족도를 도출하는 평가모형을 제시하였다.

• 한국산학기술학회논문지
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• 제13권8호
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• pp.3371-3380
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• 2012

본 논문은 기술개발지원사업의 선정 평가지표를 개발하고, 사례에 적용하여 그 타당성을 파악하고 있다. 개발된 선정평가지표의 기업선정순위와 기존 선정평가지표의 기업선정순위를 비교하여 성과를 낸 기업의 순위를 어떤 선정평가지표가 더 정확히 유추해 냈는지를 확인하고 있다. BSC 및 AHP기법을 이용하여 기술개발지원사업 선정평가지표를 개발하였다.

• 산업경영시스템학회지
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• 제32권3호
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• pp.142-158
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• 2009

The supplier selection problem is perhaps the most important component of the purchasing function. Some of the common and influential criteria in the selection of a supplier include quality, price, delivery, and service. These evaluation criteria often conflict, however, and it is frequently impossible to find a supplier that excels in all areas. In addition, some of the criteria are quantitative and some are qualitative. Thus, a methodology is needed that can capture both subjective and objective evaluation measures. The Analytic Hierarchy Process(AHP) is a decision-making method for ranking alternative courses of action when multiple criteria must be considered. This paper proposes the AHP-based approach which can structure the supplier selection process and the achievements-based procedure which can allocate order quantities for the selected suppliers In automotive part manufacturers. Also, through the practical case of 'D' automotive part manufacturing company, we shows that the proposed AHP based supplier selection approach and the achievements-based allocation procedure of order quantity can be successfully applied for supplier selection and order quantity allocation problems.

• 품질경영학회지
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• 제36권4호
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• pp.19-28
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• 2008

The purpose of this study is to search for the quality characteristics for evaluation of the information system. The quality characteristics are an important factor for selection, implementation and maintenance of the information system of the company. Of course in the end, the quality of the information system in a company is directly related with the business performance of the company. This paper is a study of a model with four independent variables, a parameter variable, and a total of 15 hypotheses, investigated by a questionnaire method. It conducted the model analysis of structural equation to use statistical package for questionnaire analysis.

• Industrial Engineering and Management Systems
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• 제8권1호
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• pp.47-53
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• 2009

We define product line (or mix) selection problem as selecting a subset of potential product variants that can simultaneously minimize product proliferation and maintain market coverage. Selecting the most efficient product mix is a complex problem, which requires analyses of multiple criteria. This paper proposes a method based on Data Envelopment Analysis (DEA) for product line selection. Data Envelopment Analysis (DEA) is a linear programming based technique commonly used for measuring the relative performance of a group of decision making units with multiple inputs and outputs. Although DEA has been proved to be an effective evaluation tool in many fields, it has not been applied to solve the product line selection problem. In this study, we construct a five-step method that systematically adopts DEA to solve a product line selection problem. We then apply the proposed method to an existing line of staplers to provide quantitative evidence for managers to generate desirable decisions to maximize the company profits while also fulfilling market demands.

• Management Science and Financial Engineering
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• 제11권3호
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• pp.79-93
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• 2005

Despite the fact that the sourcing process in B2B e-Marketplaces is one of the most important tasks, the evaluation and selection process of suppliers have been ad-hoc based and mainly dependent on the experience of sourcing managers' subjective knowledge. To remedy the problem, we developed a decision support System (called Wise - I) that helps sourcing managers evaluate suppliers in a more systematic way. The system reflects company's strategy and know-how by adopting company enforced weighted scores for different factors and employing a more scientific method of considering factors other than price and on-time delivery rate, utilizing the AHP method. This paper reports the effectiveness of the system as well as the detailed description of the system. To investigate the effectiveness of the system, we collected information through interview and questionnaire survey. The information was also augmented through the firm key index system, which monitors average delivery lead time and on-time delivery rate. The result indicates that the system leads to the efficiency of purchasing section and the transparency of buying process, therefore reduces delivery time and cost.

• 산업경영시스템학회지
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• 제14권23호
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• pp.57-64
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• 1991

The preliminary, advanced and final evaluation of R&D project is essential in order to reduce loss of resource and opportunity and to minimize uncertainty resulting from optimal selection and efficient progress of R&D project. This thesis examined characteristics of deterministic evaluation, economical evaluation, and OR-approach evaluation as theoretical methodology of evaluation of R&D project applicable to food industry in Korea by using scoring method, one of deterministic evaluations. In addition, this thesis divided the evaluation factors for preliminary evaluation of R&D project into 5 groups and 30 factors on basis of the environment of domestic companies and set up the standard of each evaluation factors and contains marking-selecting way. But, generally, the evaluation model by this thesis, as the conditions of the business company environment are different to each other, contents to be set up evaluation factors, evaluation standard and decision method conforming to each the environment of the business companies with referring to as one standard of evaluation project for selecting R&D project.

• 한국산학기술학회논문지
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• 제13권2호
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• pp.878-884
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• 2012

본 연구에서는 건설 기업을 중심으로 기업의 경영 효율성과 배당성향을 중심으로 한 효율적 포트폴리오를 선택하는 전략을 제시한다. 기업의 경영 효율성을 포트폴리오 선택에 반영하는 방안으로 DEA(Data Envelopment Analysis) 기법을 사용하였고 성장가능성은 기업의 배당 성향을 판단하는 배당 스코어링 테이블을 이용하여 평가하였다. 본 연구에서 제안한 포트폴리오 선택전략의 성능 실험을 위해 KOSPI와 KOSDAQ에 상장된 56개의 건설 산업 관련 기업의 주식을 대상으로 2007~2010년의 4년 동안 매해 3그룹의 포트폴리오를 구성하였고 각각의 포트폴리오 수익률을 벤치마크 수익률과 비교 분석하여 그 성능을 입증하였다.

• 유통과학연구
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• 제13권6호
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• pp.71-78
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• 2015

Purpose - This study attempts to analyze whether or not there are characteristics among the top management of companies that promote corporate performance at venture companies. It investigates the characteristics of the human and social capital that are inherent in top management at a venture company and conducts an empirical analysis of hypotheses examining if these characteristics will affect utilization of the governmental R&D support system as well as affect the firm's initial success. Research design, data, and methodology - This study conducted theoretical and empirical research together to accomplish the goal of the study. The pilot study researched human capital and social capital as the independent variables; the governmental R&D support system as the parameter; and, the initial success as the dependent variable. The empirical study carried out research on the model, establishment of hypotheses, and the statistical treatment. A survey was conducted targeting top management of high-tech venture companies in Daedeok Innopolis; 500 questionnaires were distributed; and, 222 were collected. Results - The human and social capital inherent in top management at venture companies in the early stages of their existence become good evaluation data for those who are invested in similar resources. If top management includes strong human and social capital, access to external resources will be easier; these will have a positive influence on the selection of overnmental support systems; and, this proper support will also have a positive influence on the initial success of the venture company. The results revealed the following. First, it was found that when the educational level and functional background, (the top management human capital), are the output function, top management human capital had a significant influence on selection of governmental R&D support funds. Second, it was found that the internal social capital and external social capital, (the top management social capital), had a significant influence on selection of governmental R&D support tasks. Third, it was found that selection of the governmental R&D support tasks at the start of the venture company had a positive influence on the corporate financial performance such as sales, business profits, and the increase in workers; and, had a significant influence on nonfinancial performance such as market share, competitive position, product competitiveness, and the future product development. Conclusions - Selection of the governmental R&D support system is not recognized as part of the direct sales of a venture company in its early stages, but as it can reduce costs for technical development and helps significantly in creating test products and mass production, it has a positive influence on the company's financial performance and nonfinancial performance as a result. Therefore, companies should take great efforts to frequently be selected as a candidate in the governmental R&D support system, as it can help facilitate R&D that requires extensive funds. As a result, companies can expect effects such as job creation and patent applications and they can advance future product sales.