• 대한안전경영과학회지
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• 제13권4호
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• pp.117-124
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• 2011

Supplier selection is one of the most important activities of a company. This importance is increased even more by new strategies in a supply chain, because of the key role suppliers perform in terms of quality, costs and services which affect the outcome in the buyer's company. In addition, green production has become an important issue for almost every manufacturer and will determine the sustainability of a manufacturer. Therefore a performance evaluation system for supplier and green suppliers is necessary to determine the suitability of suppliers to cooperate with the company. Supplier and green supplier selection is a multiple criteria decision making problem in which the objectives are not equally important. In practice, vagueness and imprecision of the goals, constraints and parameters in these problems make the decision making complicated. The objective of this study is to construct a decision-making process using fuzzy analytic hierarchy process (FAHP) and balanced scorecard (BSC) for evaluating supplier and green suppliers in the manufacturing industry. The BSC concept is applied to define the hierarchy with four major perspectives and performance indicators are selected for each perspective. FAHP is then proposed in order to tolerate vagueness and ambiguity of information. Finally, FAHP is applied to facilitate the solving process. With the proposed approach, manufacturers can have a better understanding of the capabilities that supplier and green supplier must possess and can evaluate and select the most suitable supplier for cooperation.

• 디지털융복합연구
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• 제11권1호
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• pp.121-127
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• 2013

WTO 출범과 미국 및 EU와의 FTA로 의해 국제적으로 농산물 교역은 자유화되었으며 외국의 저렴한 농산물이 국내시장에 상당한 영향을 미치고 있다. 이러한 환경 하에서 우리나라 농업은 영세한 구조로 인해 농가소득의 장기적이고 안정적인 수익창출에 어려움을 겪고 있다. 본 연구는 무역자유화 및 FTA로 인한 시장개방에 따른 급속한 농산물 교역시장의 경쟁구도 하에서 우리나라 수출농업 활성화를 위해 토마토를 대상으로 최적의 토마토 수출 생산자를 결정하기 위한 새로운 다기준 의사결정 모델을 제안하고자 한다. 이를 위하여 본 연구에서는 2단계 의사결정 모델을 개발하는데, 먼저 전국의 토마토 생산자가 너무 광범위하므로 예비 토마토 수출 생산자 선정을 위한 1차 계층 모델을 수립하고, 최적의 토마토 수출 생산자 선정을 위한 2차 상세 계층화 모델을 수립하였다. 본 연구에서는 다기준 의사결정의 대표적인 기법인 AHP 기법을 적용하여 평가요인간의 중요도를 결정하고 이를 토대로 하여 최적의 토마토 수출 생산자를 선정하였다. 궁극적으로 본 연구방법 및 결과는 토마토뿐만 아니라 국내 농산물의 해외수출시 수출업자가 적합한 농산물 생산자를 선정하는데 체계적이고 효율적인 의사결정 방법론으로 활용될 수 있을 것이며, 이는 수출경쟁력 향상에도 도움이 될 것으로 기대된다.

• 한국국방경영분석학회지
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• 제28권1호
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• pp.83-96
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• 2002

The Analytic Hierarchy Process (AHP) is well suited to group decision making and offers numerous benefits as a synthesizing mechanism in group decisions. To date, the majority of AHP applications have been in group settings. One reason for this may be that groups often have an advantage over individual when there exists a significant difference between the importance of quality in the decision and the importance of time in which to obtain the decision. Another reason may be the best alternative is selected by comparing alternative solutions, testing against selected criteria, a task ideally suited for AHP. In general, aggregation methods employed in group AHP can be largely classified into two methods: geometric mean method and (weighted) arithmetic mean method. In a situation where there do not exist clear guidelines for selection between them, two methods do not always guarantee the same group decision result. We propose a simulation approach for building group consensus without efforts to make point estimates from individual diverse preference judgments, displaying possible disagreements as is natural in group members'different viewpoints.

• 기술경영경제학회:학술대회논문집
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• 기술경영경제학회 2000년도 제17회 하계학술발표회 논문집
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• pp.35-46
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• 2000

The Analytic Hierarchy Process(AHP) model developed by Saaty is a very useful decision-making model designed for selecting and evaluating project alternatives through $\ulcorner$pairwise comparison$\lrcorner$ in the context of hierarchical structure. In this paper, we construct a modified AHP model named Analytic Dicho-Hierarchy Process (ADHP) model necessary for evaluating technology alternatives.

• 한국기계가공학회지
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• 제7권3호
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• pp.87-95
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• 2008

The purpose of this study is to provide a decision support to select an appropriate rapid prototyping(RP) machine that suits the application of a part. Selection factors include concept model, form/fit/functional model, pattern model for molding, material property, build time and part cost that greatly affect the performance of RP machines. However, the selection of a RP is not an easy decision because they are uncertain and vague. For this reason, the aim of this research is to propose hybrid multiple attribute decision making approaches to effectively evaluate RP machines. In addition, because subjective considerations are relevant to selection decision, a fuzzy logic approach is adopted. The proposed selection procedure consists of several steps. First, we identify RP machines that the users consider. After constructing the evaluation criteria, we calculate the weights of the criteria by applying the fuzzy Analytic Hierarchy Process(AHP) method. Finally, we construct the fuzzy Technique of Order Preference by Similarity to Ideal Solution(TOPSIS) method to achieve the ranking order of all machines providing the decision information for the selection of RP machines.

• 유통과학연구
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• 제18권7호
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• pp.63-72
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• 2020

Purpose: This study examines the market segmentation and strategy of PT INKA, a rolling stock manufacturer in Indonesia. Research design, data and methodology: The study used the MCDM (Multiple Criteria Decision Making) method specifically the AHP (Analytical Hierarchy Process). The AHP method was applied to identify the target market. This method or approach considers the market attractiveness and competitive strength criteria with quantified parameters. Results: a) Australia, Kenya, Tanzania, New Zealand, and India emerge as the top five target markets; b) There is justification for rolling stock manufacturers to allocate their resources in winning the market share. Conclusion: The main challenge confronting the rolling stock manufacturer is limited resources to acquire a particular market share despite abundant opportunities in this sector. Despite the mastery of technology and long experience in the industry, selecting a target market with multiple criteria could be difficult for an emerging rolling stock manufacturer in South East Asia.

• 산업경영시스템학회지
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• 제35권3호
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• pp.24-31
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• 2012

Priority rules or sequencing heuristics conventionally used to determine resource allocation is to maximize the earned value on time and cost. This study provides a effective strategy-oriented approach for the program resource management problem with limited same resource, which systematically connects individual project objectives to the overall organizational goal, by introducing financial values as well as priority rules in a broader context. It deals with the resource allocation problem as the decision making problem in the strategic management paradigm to meet business objective and solves it using the analytic hierarchy process, and explains the method of application and usefulness through some simulation cases.

• 한국산학기술학회:학술대회논문집
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• 한국산학기술학회 2006년도 추계학술발표논문집
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• pp.331-334
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• 2006

This paper proposes the selection model of the telecommunication company using an analytical hierarchy technique. When selecting a telecommunication company, consumers conflict the difficulty in decision-making because there are many competitive and complementary factors of telecommunication companies. To select an optimum telecommunication company, consumers need to consider a number of different quantitative and qualitative factors such as fare, various services, additional function and so on. In this study, we develop the method for selecting the telecommunication company considering various factors to help consumers' decision-making for their benefits.

• 경영과학
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• 제14권1호
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• pp.11-29
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• 1997

This paper presents the better efficient evaluation of the Small and Medium Enterprises by use of fuzzy multi-criteria decision making methodology under intersectional dependence relations. The five Small and Medium Enterprises alternative will be evaluated by Fuzzy Analytic Hierarchy Process(FAHP) based on entropy weight in this study. A case study is presented to illustrate the use of entropy weight measurement with intersectional dependence problems. These problems are evaluated seven criteria : market criteria, thchnology criteria, management ability criteria, planning criteria, propulsion ability criteria, project propulsion basis criteria, propulsion result criteria.

• 산업경영시스템학회지
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• 제19권39호
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• pp.265-274
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• 1996

This paper presents the intersectional dependence relations for the better efficient evaluation of the three tactical missile system(T.M.S) by use of multi-criteria decision making methodology. T.M.S alternatives A, B and C will be evaluated by Analytic Hierarchy Process(AHP) based on entropy weight in this study. A numerical example is presented to illustrate the use of entropy weight measurement with intersectional dependence problems. This problems are evaluated five criteria : tacticals criteria, technology criteria, maintenance criteria, economy criteria, advancement criteria.