• 무역상무연구
• /
• 제30권
• /
• pp.3-26
• /
• 2006

Supply chain is viewed as a number of organizations(at least three) working cooperatively with at least some shared objectives. The concept of supply chain management represents the most advanced state in the evolutionary development of purchasing, procurement and other supply chain activities. This study aims to analyze and develop a measurement instrument for supply chain performance in international logistics. A measurement instrument for supply chain performance in international logistics are developed by Lai et al(2002). Supply chain reliability, customer service and cost are constructed reflecting service effectiveness and operations efficiency between shipper, forwarder and liner. The results of this study are as follow. We firstly tested the measurement properties of the sub-dimension of the supply chain performance construct using reliability test and confirmatory factor analysis follow by exploratory factor analysis. For each of the factor, reliability and validity are achieved because of the significant loading of the measurement items on their latent factors. Further research perform the analysis of variance by multi respondents within each firm and across partner firms in the supply chain. The result of analysis present the difference with shipper, forwarder and liner in statistics.

• 한국콘크리트학회:학술대회논문집
• /
• 한국콘크리트학회 2008년도 춘계 학술발표회 제20권1호
• /
• pp.145-148
• /
• 2008

현재 국제적인 콘크리트설계기준의 동향은 한계상태의 개념을 기본으로 하여 구조물에 요구되는 성능을 중심으로 새로이 한계상태를 정의하려는 노력이 진행되고 있다. 이를 위해서는 구조물의 요구성능을 정의하고 성능수준에 대한 만족도를 측정하는 등의 과제를 해결해야 하는 문제가 놓여있다. 성능을 만족하는 정도를 나타낼 수 있는 지수로는 현재 신뢰도지수가 가장 주목받고 있다. 이 논문에서는 PSC beam을 대상으로 단면력저항계수 및 재료저항계수 체계로 설계를 시행한 후, 여러가지의 서로 다른 저항계수 세트에 대한 신뢰도지수를 각각 구하여 값을 비교하였다. 향후 주어진 목표신뢰도 수준에 부합하는 저항계수 조합을 산정하는 기초 자료로 사용할 수 있다.

• Earthquakes and Structures
• /
• 제14권4호
• /
• pp.361-377
• /
• 2018

In this paper, an alternative reliability-based methodology is developed and implemented on the safety evaluation of structures subjected to seismic loading. To effectively elaborate the approach, structures are represented by finite elements and seismic loading is applied in time domain. The accuracy of the proposed reliability-based methodology is verified using Monte Carlo Simulation. It is confirmed that the presented approach provides adequate accuracy in calculating structural reliability. The efficiency and robustness in problems related to performance-based seismic design are verified. A structure designed by experts satisfying all post-Northridge seismic design requirements is studied. Rigidities related to beam-to-column connections are incorporated. The structure is excited by three suites of ground motions representing three performance levels: immediate occupancy, life safety, and collapse prevention. Using this methodology, it is demonstrated that only hundreds of deterministic finite element analyses are required for extracting reliability information. Several advantages are documented with respect to Monte Carlo Simulation. To showcase an applicability extension of the proposed reliability-based methodology, structural risk is calculated using simulated ground motions generated via the broadband platform developed by the Southern California Earthquake Center. It is validated the accuracy of the broadband platform in terms of structural reliability. Based on the results documented in this paper, a very solid, sound, and precise reliability-based methodology is proved to be acceptable for safety evaluation of structures excited by seismic loading.

• 대한기계학회논문집A
• /
• 제41권4호
• /
• pp.291-297
• /
• 2017

신뢰성 해석은 설계변수의 공차나 환경변수 및 재료 물성치의 불확실성으로 인해 발생하는 제품성능의 불확실성을 고려하기 위해 제품의 신뢰도를 평가하는 기법이다. 기존의 많은 신뢰성 해석 기법은 성능의 신뢰도를 독립적으로 계산한다. 그러나 실제 공학 문제에서 시스템의 성능은 상관관계를 가질 수 있으며 이로 인해 전체 시스템의 신뢰도와 성능의 신뢰도 사이에 차이가 발생한다. 본 연구에서는 코플라를 이용하여 시스템에서 상관관계가 있는 성능의 결합확률밀도함수를 추정하고 이를 이용하여 시스템의 신뢰도를 평가하는 시스템 신뢰성 해석 기법을 제안한다. 수학예제를 통하여 제안하는 기법의 정확성을 검증하고 트러스 구조물에 시스템 신뢰성 해석 기법을 적용하여 제안하는 기법의 유용성을 확인한다.

• 한국생산제조학회지
• /
• 제19권5호
• /
• pp.637-644
• /
• 2010

This paper presents a reliability-based shape optimization (RBSO) using the growth-strain method. An actual design involves uncertain conditions such as material property, operational load, Poisson's ratio and dimensional variation. The purpose of the RBSO is to consider the variations of probabilistic constraint and performances caused by uncertainties. In this study, the growth-strain method was applied to shape optimization of reliability analysis. Even though many papers for reliability-based shape optimization in mathematical programming method and ESO (Evolutionary Structural Optimization) were published, the paper for the reliability-based shape optimization using the growth-strain method has not been applied yet. Growth-strain method is applied to performance measure approach (PMA), which has probabilistic constraints that are formulated in terms of the reliability index, is adopted to evaluate the probabilistic constraints in the change of average mises stress. Numerical examples are presented to compare the DO with the RBSO. The results of design example show that the RBSO model is more reliable than deterministic optimization. It was verified that the reliability-based shape optimization using growth-strain method are very effective for general structure. The purpose of this study is to improve structure's safety considering probabilistic variable.

• 한국공작기계학회논문집
• /
• 제14권1호
• /
• pp.15-23
• /
• 2005

For reliability assessment for machine tools, failure mode analyses by two viewpoints were studied in this paper. First, this study developed the reliability data analysis program, which searches f3r optimal failure distribution like failure rate or MTBF(Mean Time Between Failure) using failure data and reliability test data of mechanical parts in the web. Moreover, this data analysis program saves both failure data or reliability data and their failure rate or MTBF for database establishment. Second, this paper conducted failure mode analysis through such performance tests as circular movement test and vibration testing for machine tools when reliability data is not available. A developed web-based analysis program shows correlations between failure mode and performance test result and also accumulates all the data. These kinds of data analysis programs and stored data furnish valuable information for improving the reliability of mechanical system.

• Smart Structures and Systems
• /
• 제2권4호
• /
• pp.313-320
• /
• 2006

The reliability analysis of structures subjected to stochastic loading involves evaluation of time and probability of the system's residence in a reference domain. In this paper, we derive an asymptotic estimate of exit time for multi-degrees-of-freedom structural systems. The system's dynamics is governed by the Lagrangian equations with linear dissipation and fast additive noise. The logarithmic asymptotic of exit time is found explicitly as a sum of two terms dependent on kinetic and potential energy of the system, respectively. As an example, we estimate exit time and an associated structural performance for a rocking structure.

• Structural Engineering and Mechanics
• /
• 제49권1호
• /
• pp.111-128
• /
• 2014

The stochastic response surface method (SRSM) and the response surface method (RSM) are often used for structural reliability analysis, especially for reliability problems with implicit performance functions. This paper aims to compare these two methods in terms of fitting the performance function, accuracy and efficiency in estimating probability of failure as well as statistical moments of system output response. The computational procedures of two response surface methods are briefly introduced first. Then their capabilities are demonstrated and compared in detail through two examples. The results indicate that the probability of failure mainly reflects the accuracy of the response surface function (RSF) fitting the performance function in the vicinity of the design point, while the statistical moments of system output response reflect the accuracy of the RSF fitting the performance function in the entire space. In addition, the performance function can be well fitted by the SRSM with an optimal order polynomial chaos expansion both in the entire physical and in the independent standard normal spaces. However, it can be only well fitted by the RSM in the vicinity of the design point. For reliability problems involving random variables with approximate normal distributions, such as normal, lognormal, and Gumbel Max distributions, both the probability of failure and statistical moments of system output response can be accurately estimated by the SRSM, whereas the RSM can only produce the probability of failure with a reasonable accuracy.

• 품질경영학회지
• /
• 제48권1호
• /
• pp.187-199
• /
• 2020

Purpose: This study suggests how to upgrade performance certification technology. Current performance certification of aviation security equipment and the requirements thereof were analyzed. Methods: The performance certification of aviation security equipment worldwide and identified issues with the domestic certification system were compared. The government must upgrade certification in terms of technical standards, the assessment methodology used, and the operating system. Results: Three principal conclusions were drawn. First, certification requirements must be based on a review of the technical literature and real-world experience. Second, development priorities must be set by reference to assessment techniques. Third, both research on the certification system and improvements thereof are essential. Conclusion: Certification of aviation security equipment performance requires gradual upgrading.

• 한국신뢰성학회지:신뢰성응용연구
• /
• 제13권3호
• /
• pp.191-206
• /
• 2013

Application areas for Lifetime Performance Index(LPI), a kind of process capability index to be frequently used as a means of measuring process performance are illustrated with examples. Statistical properties for maximum likelihood and unbiased estimators of LPI are evaluated and discussed under Weibull distribution with known shape parameter. Furthermore, guidelines for selecting an estimator of LPI are also presented.