• Title/Summary/Keyword: Parameter Management

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Bayesian reliability prediction under event tree (Event tree하에서 베이지안 기법을 이용한 신뢰도 예측)

  • 박철순;전치혁;양희중;장수영
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1993.10a
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    • pp.24-30
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    • 1993
  • When modeling a complex system we use an event tree to analyze propagation of failure. An event tree cannot represent the statistical interrelationships among parameters, but it can be represented as a statistically identical influence diagram so that parameter updating can be easily performed. After updating parameters we can calculate posterior distribution of the failure rate for each path. But exact distribution requires considerably complex numerical integration. We propose an approximation method to calculate the posterior and derive the predictive distribution of the time to next failure. Finally we introduce the system which implements our methodology.

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Bayesian Estimation for the Left Truncated Exponential Lifetime Distribution with Inclusion and Exclusion of an Outlier

  • PARK, Man-Gon
    • Journal of Korean Society for Quality Management
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    • v.16 no.2
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    • pp.56-67
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    • 1988
  • It is wellknown that the left truncated exponential distribution with positivity constraint on the location parameter is appropriate as a lifetime distribution model, In this paper, some Bayes estimators of the parameters and reliability for the left truncated exponential lifetime distribution when an unidentified-failure outlier is included and it is excluded in the exchangeable outlier model are proposed, and the performances of these proposed Bayes estimators are also discussed.

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Optimal System Design of Consecutive-k-out-of-n:F System

  • Yun, Won-Young;Kim, Gui-Rae;Yamamoto, Hisashi
    • Proceedings of the Korean Society for Quality Management Conference
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    • 2006.11a
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    • pp.309-314
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    • 2006
  • The linear Consecutive-k-out-of-n:F system consists of n component ordered linearly and fail if and only if at least k consecutive components fail. We assume that the components are independent and identical exponentially distributed. This paper develops a model to calculate the expected cost per unit time of a linear consecutive-k-out-of-n:F system. The optimization problem we consider regards the choice of the system structure parameter k to minimized the expected cost per unit time.

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Recent Advances in Multiresponse Systems (다중반응표면 최적화 분야의 최근 연구 동향)

  • Kim, Kwang-Jae;Byun, Jai-Hyun;Jeong, In-Jun
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2006.11a
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    • pp.377-380
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    • 2006
  • A common problem encountered in product or process design is the selection of optimal parameter levels which involve simultaneous consideration of multiresponse variables. To date, various methods have been proposed for multiresponse optimization. In this paper, we briefly review the existing methods and then discuss some recent advances in this field.

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A Method for Solving Parametric Nonlinear Programming Problems with Linear Constraints (파라메트릭 선형계획문제의 해법: 선형제약 경우)

  • 양용준
    • Journal of the Korean Operations Research and Management Science Society
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    • v.7 no.1
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    • pp.11-16
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    • 1982
  • A method is described for the solution of a linearly constrained program with parametric nonlinear objective function. The algorithm proposed in this paper may be regarded as an extension of the simplex method for parametric linear programming. Namely, it specifies the basis at each stage such that feasibility ana optimality of the original problem are satisfied by the optimal solution of the reduced parametric problem involving only nonbasic variables. It is shown that under appropriate assumptions the algorithm is finite. Parametric procedures are also indicated for solving each reduced parametric problem by maintaining the Kuhn-Tucker conditions as the parameter value varies.

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A study on the optimal parameter design by analyzing the ordered categorical data (순차 범주형 데이타분석을 위한 최적모수설계에 관한 연구)

  • 전태준;홍남표;박호일
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1992.04b
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    • pp.188-197
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    • 1992
  • 제품 개발에 관한 응용 연구 혹은 개발 연구의 실험 결과가 품질특성의 본질적인 성격이나 측정시의 편의때문에 순차 범주형 자료(ordered categorical data)로 분류되는 경우가 있다. 본 논문에서는 망목 특성 문제(nominal-the-best type problem)를 분석하는데 있어서 기존의 다구찌 누적법이 순차 범주형 자료분석법이 안고 있는 문제점들을 고찰하고, 이를 개선하기 위해 품질손실에 근거한 목표 누적법을 제시한다. 본 논문에서 제시한 기법을 post-etch contact window데이타에 적용해 본 결과 인자의 최적수준을 결정하는데 용이하였다.

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Scheduling with regard to start lag in process group (공정 그룹별 Start lag을 고려한 스케쥴링)

  • 전태준;박성호
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1996.10a
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    • pp.299-302
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    • 1996
  • The purpose of this study is developing scheduling logic and program for machining scheduling of automobile part production line with unbalanced processing time. Three rules are developed to minimize slack and effect on other job. Fourth rule is suggested which considered weighted sum of three factors. schedule is generated totally 1, 000 times and then optimal weight parameter is selected. The program is developed to schedule situation to compare with the performance measure, total finish time of machine and total tardiness of part. As a result, the rule which considered weighted sum of three factors is effective for both measure.

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A STRONGLY CONVERGENT PARALLEL PROJECTION ALGORITHM FOR CONVEX FEASIBILITY PROBLEM

  • Dang, Ya-Zheng;Gao, Yan
    • Journal of applied mathematics & informatics
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    • v.30 no.1_2
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    • pp.93-100
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    • 2012
  • In this paper, we present a strongly convergent parallel projection algorithm by introducing some parameter sequences for convex feasibility problem. To prove the strong convergence in a simple way, we transmit the parallel algorithm in the original space to an alternating one in a newly constructed product space. Thus, the strong convergence of the parallel projection algorithm is derived with the help of the alternating one under some parametric controlling conditions.

On the Estimation of Fraction Defectives

  • Kim, Seong-in
    • Journal of Korean Society for Quality Management
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    • v.8 no.2
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    • pp.3-14
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    • 1980
  • This paper is concerned with the design of an appropriate sampling plan or stopping rule and the construction of estimate for the estimation of process or lot fraction defective. Various sampling plans which are well known or have potential applications are unified into a generalized sampling plan. Under this sampling plan sufficient statistic, probability distribution, moment, and minimum variance unbiased estimate are obtained. Results for various sampling plans can be derived as special cases. Then, under given parameter values, the relative efficiencies of the various sampling plans are compared with respect to expected sample sizes and variances of estimates.

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Bayesian Estimation of the Reliability and Failure Rate Functions for the Burr Type-? Failure Model (Burr 고장모형에서 신뢰도와 고장률의 베이지안 추정)

  • 이우동;강상길
    • Journal of Korean Society for Quality Management
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    • v.25 no.4
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    • pp.71-78
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    • 1997
  • In this paper, we consider a hierarchical Bayes estimation of the parameter, the reliability and failure rate functions based on type-II censored samples from a Burr type-? failure time model. The Gibbs sampler a, pp.oach brings considerable conceptual and computational simplicity to the calculation of the posterior marginals and reliability. A numerical study is provided.

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