• 한국생산제조학회지
• /
• 제24권5호
• /
• pp.521-529
• /
• 2015

Owing to a reliance on imported products from Europe and Japan, the use of logistics equipment with poor energy efficiency coupled with high maintenance costs can lead to high operating costs for some domestic logistic centers. To lower their operating costs, the logistic centers use motorized roller conveyors. In order to commercialize this process, it is necessary to establish the test criteria and assess the reliability of the process. Currently, there exists no standard verification method to test the reliability of motorized roller conveyors. In this study, we propose reliability assessment criteria for a: i) reliability test, ii) environmental test, iii) safety test, and iv) lifetime test.

• 한국게임학회 논문지
• /
• 제11권6호
• /
• pp.53-60
• /
• 2011

게임 서비스를 위한 소프트웨어의 경우 그 신뢰도에 대한 중요성은 지속적으로 증가하고 있다. 따라서 소프트웨어 신뢰도에 대한 평가 또한 매우 중요하다. 본 연구에서는 개발 공정에 대한 대표 활동인 확인 및 검증이 소프트웨어 신뢰도에 어떠한 영향을 미치는가를 정량적으로 분석하기 위하여 실험을 수행하였다. 이러한 실험 결과는, BBN (Bayesian Belief Network) 기반 신뢰도 평가와 같이, 개발 공정에 근거하여 신뢰도를 평가할 때 매우 유용한 근거 자료로 활용될 것이다.

• 한국철도학회:학술대회논문집
• /
• 한국철도학회 2005년도 추계학술대회 논문집
• /
• pp.258-263
• /
• 2005

The purpose of this research is to present a practical method for efficiently monitoring a reliability growth process using AMSAA(Army Materiel Systems Analysis Activity) reliability growth model. The presented method is viable for identifying failure modes, incorporating design changes and monitoring reliability progress on an on-going basis during the early stages of a product development program. According to the Application Guide for EN 50126(RAM part for Rolling Stock), reliability growth monitoring is essential part of the main tasks of design phase in RAM growth monitoring. Implementation of reliability growth management program will provide very useful information on concept selection, product/process reliability, and cost effectiveness without too much time, money and engineering effort being spent on the development of failure suspect parts.

• International Journal of Reliability and Applications
• /
• 제3권4호
• /
• pp.155-164
• /
• 2002

This paper focuses on how modem data mining can be integrated with real-time relational databases and commercial data warehouses to improve reliability in real-time. An important Issue for many manufacturers is the development of relational databases that link key product attributes with real-time process parameters. Helpful data for key product attributes in manufacturing may be derived from destructive reliability testing. Destructive samples are taken at periodic time intervals during manufacturing, which might create a long time-gap between key product attributes and real-time process data. A case study is briefly summarized for the medium density fiberboard (MDF) industry. MDF is a wood composite that is used extensively by the home building and furniture manufacturing industries around the world. The cost of unacceptable MDF was as large as 5% to 10% of total manufacturing costs. Prevention can result In millions of US dollars saved by using better Information systems.

• 품질경영학회지
• /
• 제43권3호
• /
• pp.221-238
• /
• 2015

Purpose: In this study, A reliability assurance model (or reliability program) is proposed to evaluate the reliability of an armed vehicle. The reliability assurance is performed through the reliability-centered activities during its life cycle of development/design, production, deployment, maintenance, and disposal. Methods: By reflecting the current situations of korea defense industry, a reliability assurance model is built up based on the benchmarking results of world leading companies' best practices in same fields. Results: The proposed reliability program of armed vehicles, which is based on the reliability program of ANSI/GEIA-STD 0009, uses DMAIC process of the six sigma methodology from design phase to testing and evaluation phase. Conclusion: This research is supposed to develop reliability program of armed vehicles by integrating DFSS, DFR and reliability growth process.

• 시스템엔지니어링학술지
• /
• 제16권2호
• /
• pp.87-96
• /
• 2020

In this paper we proposed the test design method of reliability growth management. First, we presented the process for establishing the reliability growth management test design considering the number of failures and the termination test time. Reliability growth analysis of continuous system was performed in accordance with the test design process presented. In case the reliability test result is not met with the reliability target value after more than three failures occurred, the required test times were analyzed that 1,725 hrs for one corrective action, 1,950 hrs for two corrective actions. If the number of failures is less than three, design a reliability demonstration test according to confidence level 80% and 90% was performed using RGA 11 Software. As a result, it is possible to establish the reliability growth management test design with sufficient use of available resources. The results of this study can be used when establishing a test design for assessment of reliability growth management of all continuous systems.

• 한국건축시공학회지
• /
• 제10권2호
• /
• pp.133-138
• /
• 2010

건축 프로젝트에서 개산견적은 많은 부분들이 확정되지 않은 상태에서 수행되기 때문에 개산견적으로 산출된 공사비와 실제 시공 공사비는 차이가 발생할 수밖에 없다. 이러한 공사비의 차이를 신뢰할 수 있는 수준 이하로 관리할 필요가 있다. 따라서 본 연구에서는 건축 프로젝트 초기단계에서 실시하는 개산견적의 신뢰도를 관리할 수 있는 체계적인 프로세스를 구축하는 것을 목적으로 한다. 본 연구를 수행하기 위하여 개산견적 전문가와 면담조사를 실시하였으며, 리스크 관리 프로세스에 대한 고찰도 실시하였다. 연구결과 개산견적 신뢰도 관리를 위해서는 기존의 개산견적 프로세스에 신뢰도를 평가와 향상 방안 도출 과정이 필요하며, 유사 프로젝트를 토대로 신뢰도 관리 전략 수립 과정이 필요하다. 이러한 과정을 통해서 개산견적의 신뢰도를 당초에 설정된 허용가능한 수준 이하로 관리하여 프로젝트 공사비에 대한 리스크를 감소시켜 프로젝트를 성공적으로 수행할 수 있게 도움을 줄 수있다.

• 한국신뢰성학회:학술대회논문집
• /
• 한국신뢰성학회 2000년도 추계학술대회
• /
• pp.375-384
• /
• 2000

The main objective of this paper to purpose a evaluating methods of process capability measures for exponential distributed quality characteristics. For correctly evaluating process capability , the first thing , exponential data is applied the Lilliefors test statistic to the null hypothesis of nornality. The next, exponential parameters is estimated in terms of MLE , ME , MME and then evaluated , respectively , process capability index based on exponential curved (Ιe) proposed by in this study and process capability indices based on Pearson system and Johnson system.

• 한국신뢰성학회지:신뢰성응용연구
• /
• 제14권2호
• /
• pp.129-136
• /
• 2014

Reliability test is focusing to detect the unexpected reliability failure and solve them for the high quality of products. The test data should be used to assess and project the current level of interesting product reliability and so it is very important to have the accurately assessing methodology with test data. There are two type of trend for test data as constant and changing one during testing and this paper shows the difference in the assessing results of these two cases. There is less information how to define the existence of reliability growth rate changing and calculate the parameters of the reliability growth models to make an accurate assessment with such condition, so i established the process and mathematical model to calculate the parameters at such condition to make reliability growth curve with high Goodness of Fit. I validated the new method with the data made from Monte Carlo Simulation and case from Demko (1993). Even the assessed result with the new methodology may be different with the case by case because of very diversity in test condition and testing product quality, but the process and method founded in this research can be applied to any case using Duane and AMSAA model for their test data assessment. I also present the evaluation method to see the effectiveness with new one which is a conventional knowledge and not popular to use, so it is possible to compare the results with the newly presented and conventional method for better business decision.

• 한국경영과학회지
• /
• 제34권1호
• /
• pp.11-28
• /
• 2009

Intelligent investment in setup cost reduction and process reliability improvement is crucial to an emerging integrated lean six sigma practice today. This study examines a cost-minimizing problem of jointly determining production lot size, setup cost reduction, and process reliability improvement decisions for a manufacturer with an imperfect production process. We develop models for previously untapped discrete shipping in a supply chain context as well as continuous shipping and solve them optimally using differential calculus and nonlinear programming. We also conduct analytic and numerical sensitivity analyses to provide various important managerial insights into practices.