• 대한예방의학회:학술대회논문집
• /
• 대한예방의학회 1997년도 추계 학술대회 연제집
• /
• pp.266-267
• /
• 1997

• Journal of Preventive Medicine and Public Health
• /
• 제22권1호
• /
• pp.1-7
• /
• 1989

This paper examines the failure to promote adequate preventive health care in the U.S. It focuses specifically on the preventive health services of screening, counseling, and immunization. It explores evidence on their effectiveness, as well as coverage under current private and public health insurance plans. It concludes with a proposal to expand health insurance coverage for preventive services and to reimburse physicians directly for preventive health services provided to patients.

• 한국신뢰성학회지:신뢰성응용연구
• /
• 제18권2호
• /
• pp.114-121
• /
• 2018

Purpose: This study proposes a process for evaluating the preventive maintenance policy for a system with degradation characteristics and for calculating the appropriate preventive maintenance cycle using time- and condition-based maintenance. Methods: First, the collected data is divided into the maintenance history lifetime and degradation lifetime, and analysis datasets are extracted through preprocessing. Particle filter algorithm is used to estimate the degradation lifetime from analysis datasets and prior information is obtained using LSE. The suitability and cost of the existing preventive maintenance policy are each evaluated based on the degradation lifetime and by using a minimum repair block replacement model of time-based maintenance. Results: The process is applied to the degradation of the reverse osmosis (RO) membrane in a seawater reverse osmosis (SWRO) plant to evaluate the existing preventive maintenance policy. Conclusion: This method can be used for facilities or systems that undergo degradation, which can be evaluated in terms of cost and time. The method is expected to be used in decision-making for devising the optimal preventive maintenance policy.

• 대한예방의학회:학술대회논문집
• /
• 대한예방의학회 2002년도 제54차 추계 학술대회 연제집
• /
• pp.222-223
• /
• 2002

• 한국신뢰성학회:학술대회논문집
• /
• 한국신뢰성학회 2000년도 추계학술대회
• /
• pp.335-342
• /
• 2000

Preventive maintenance(PM) is an action taken on a repairable system while it is still operating, which needs to be carried out in order to keep the system at the desired level of successful operation. The PM improves the reliability of the system by predicting the possible failures and thereby preventing such failures from its occurrence. In this paper, we develop the optimal preventive maintenance policies based on the aperiodic PM model. We investigate an aperiodic preventive maintenance policy and propose several optimal PM policies which minimize the expected cost over an infinite time span. Park, Jung and Yum(2000) determine the optimal period and the optimal number of PMs based on Canfield's(1986) periodic model. Our techniques to derive the optimal preventive maintenance policies based on our aperiodic PM model is similar to those in Park, Jung and Yum(2000), which can be considered as the special case of our results.

• 한국국방경영분석학회지
• /
• 제18권1호
• /
• pp.110-127
• /
• 1992

In the preventive replacement policies of system that the failure can be detected through only periodic inspection, there is a penalty cost associated with the lapsed time between system failure and its detection. The system under study is replaced if the system fails before $n^{th}$ inspection, otherwise, preventive replacement is performed at the $n^{th}$ inspection. The decision variables are the inspection interval and the period of preventive replacement. This study presents the optimal preventive replacement policy that minimizes the long-run expected cost per unit time.

• 대한예방의학회:학술대회논문집
• /
• 대한예방의학회 2000년도 제52차 추계학술대회 연제집
• /
• pp.159-160
• /
• 2000

• Journal of Preventive Medicine and Public Health
• /
• 제19권1호
• /
• pp.1-15
• /
• 1986

• Journal of Preventive Medicine and Public Health
• /
• 제55권3호
• /
• pp.307-307
• /
• 2022

• Journal of Preventive Medicine and Public Health
• /
• 제41권6호
• /
• pp.419-426
• /
• 2008

Objective: The purpose of this study was to investigate impact of knowledge familiarity, and prejudice about mental illness as well as demographic factors on the social distance from mentally ill people, which is a proxy measure of discrimination. Method: To assess the impact of knowledge and familiarity, prejudice about mental illness and demographic factors on the social distance from mental illness, we conducted a telephone survey in South Korea with the responders being nationally representative people who were 18 years old or over (n=1040). Independent samples T-tests, one way ANOVA and linear regression analysis were performed to analyze the results of the survey. Result: The social distance from mental illness decreased as the knowledge and familiarity increased, but the social distance was increased as prejudice was increased. Prejudice had a greater impact on social distance than familiarity and knowledge. Females showed greater social distance than did males. A higher education level had a negative effect on social distance. Conclusion: to reduce the social distance from mentally ill people, efforts to increase the familiarity about mental illness as well as efforts to educate people about mental illness are important.