This study attempts a comparison between AHP(Analytic Hierarchy Process) in which the importance weight is structured by individual subjective values and regression model with importance weight based on statistical theory in determining the importance weight of casual model. The casual model is designed by for students’ satisfaction with university, and SERVQUAL modeling methodology is applied to derive factors affecting students’ satisfaction with university. By comparison of importance weights for regression model and AHP, the following characteristics are observed. 1) the lower the degree of satisfaction of the factor, the higher the importance weight of AHP, 2) the importance weight of AHP has tendency to decrease as the standard deviation(or p-value) increases. degree of decreases. the second sampling is conducted to double-check the above observations. This study empirically checks that the importance weight of AHP has a relationship with the mean and standard deviation(or p-value) of independence variables, but can not reveal how exactly the relationship is. Further research is needed to clarify the relationship with long-term perspective.

We undertook the quantitative evaluations of Industrial Accident Prevention Program (IAPP). The six parameters, such as relevance, efficiency, consistency, sustainability, effectiveness, coherence, were chosen by expert plenary sessions. Two stage of Analytic Hierarchy Process were used to determine the weighted value of assessment criteria. This expert plenary suggests that the six parameters and its weight values are useful for quantitative evaluations of IAPP. Additional researches regarding the real world application of this assessment tool should be initiated.

  Certification about management innovation business (Mainbiz) was added in 2006 newly along with existent technical innovation business certification (Innobiz) and venture business certification with government"s policy connected with reform style small

현재 기업들 사이에 기업경영의 목표를 ‘고객 가치 경영’에 두는 경우가 많다. 이는 경영활동의 초점을 고객가치(Customer Value)에 두고, 데이터베이스 마케팅을 도입하여 ‘고객 마케팅’과 ‘One To One 마케팅’을 차별화 하려는 의지로 볼 수 있다. 고객 데이터를 조사 분석하기 위해서는 고객의 표현되는 욕구뿐만 아니라 잠재적인 욕구가지도 파악을 해야 한다. 고객의 데이터를 분석하는 방법에는 그 목적에 따라 고객 세분화 및 집단화 분석 모형, 고객반응확률을 예측하는 모형, 고객 이탈률을 분석하는 모형, 신규고객 발굴 분석 모형으로 분류할 수 있다. 따라서 본 연구에서는 비연결적인 상황의 한계성을 극복하기 위해 고객 분석에 필요한 변수를 먼저 선정하여, 고객 데이터의 신뢰도를 높이고, 고객 세분화를 정량적으로 분석하기 위해 CLV(Customer Lifetime Value)를 사용한 고객정보시스템을 설계하였다. 변수 사이의 유기적 복합성을 고려함과 동시에 어떤 새로운 변수를 도입해야 할 것인지에 대한 고민이 필요한 것이다. 또한 기업은 소비자의 다양화·복잡화 추세에 어느 정도까지 대응해 나갈 것인지도 결정해야 할 것이다. 이러한 이유로 기업에서의 CLV (Customer Lifetime Value)의 정립은 앞으로도 계속되는 과제가 될 것이다.

In this study, Determine weight of damages, which were excerpt from analyzing inspection reports in Road Tunnel, using AHP technique. The result of weight of damages using AHP. is a slight difference from current weight one. So we need to think about this conclusion as new weight of damages in road tunnel.

In this study, weight of assessment items for rock and soil slopes is deducted using AHP(Analytic Hierarchy Process). And also, weight of each performance for final evaluation is analyzed. As a result, tension crack and ground deformation make up a large proportion in all slopes, and weight of each performance based on the location of the slope does not show a big difference.

This study was performed to decide weight of an objective evaluation factors so optimized for small reservoirs and reservoirs that operators may survey their status and identify relevant risk factors in a timely way. In this study, evaluation factors were determined based on the expert panel results followed by the brain storming process. The selected evaluation factors were implemented on the formulation of hierarchy and analytic hierarchy process (AHP) technique were used to determine weight factors based on the expert survey results. It is expected that the use of the proposed weight will contribute to the more systematic and efficient safety management of small reservoirs to prevent their failures.