• Title/Summary/Keyword: Iowa Type Curves

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A Study on the Estimation of Economic Service Life on Semiconductor Equipments (반도체 제조설비의 경제적 내용연수 산정)

  • Oh, Hyun-Seung;Kim, Chong-Su;Suh, Jung-Yul;Cho, Jin-Hyung
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.30 no.4
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    • pp.164-169
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    • 2007
  • The estimation of mortality characteristics of industrial property is an important adjunct to engineering valuation and depreciation estimation. Once the important of depreciation estimation is determined, it is desirable to understand the processes upon which these estimates are based. The Iowa type survivor curves are a set of generalized retirement dispersion models. These curves were based on analysis of actual retirement experience and represent typical retirement behavior patterns likely to be encountered. The retirement rate of Iowa type survivor curves on the semiconductor equipments in Korea industry was estimated by the life estimation process. In this paper, estimates of service lives based on directly observed data of the domestic semiconductor equipments are presented.

A Study on the Application of Mixed Weibull Function to Estimate Survivor Curves of Industrial Property (설비 생존곡선 추정을 위한 혼합형 Weibull 함수의 활용)

  • Rhee, Hahn-Kyou;Kim, Kyeong-Tack;Oh, Hyun-Seung
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.30 no.1
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    • pp.66-73
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    • 2007
  • 일반 투자안의 의사결정에서와 마찬가지로 산업설비의 경제성 분석에서도 가장 중요한 결정 요소 중의 하나가 설비의 생존곡선 추정이다. 설비의 자산 가치가 감소하는 원인은 여러 가지가 있으나, 여러 원인 중 물리적 훼손이 과거의 산업설비에서는 가장 중요한 원인이었으므로 기존의 생존모형 분석에서는 lows 생존곡선을 이용하여 설비의 생존곡선을 추정하였다. 그러나 새로운 기술상의 변화로 인한 첨단 생산시스템의 설비교체 분석 시에는 적합지 않다. 따라서, 본 연구에서 제안된 혼합형 Weibull 함수를 이용하여 설비의 폐기 형태를 추정함으로써 설비들의 실제적인 생존곡선을 정확하게 파악할 수 있다.

A Study on the Estimation Depreciation Rate on Petrochemical Equipments (석유화학 제조설비의 경제적 감가상각률 산정)

  • Oh, Hyun-Seung;Kim, Chong-Su;Lee, Hahn-Kyou;Cho, Jin-Hyung
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.32 no.1
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    • pp.130-136
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    • 2009
  • Estimation of mortality behavior of a industrial property are useful for calculating depreciation and making management decisions relating to property. The common methods of computing depreciation require an estimation of service life, and some methods may require an estimate of life expectancy. Estimation of service life and life expectancy can be computed from a smoothed and extended life table of original life tables developed through life analysis techniques. Several actuarial techniques are available to construct a life table for depreciation application. Of these methods, the graphic approach and graduation by mathematical formula are the most widely used in the field of depreciation. A commonly used technique of smoothing and of extending the life table is to fit a lows type survivor curves to the observed retirement rate by the least square method. In this paper, estimates of depreciation rate based on directly observed data of the domestic petrochemical equipments are presented.

A Study on the Estimation of Average Service Life for New Technology Products-in Case of Solor-cell (신기술 제품의 ASL 추정-솔라셀 사례 중심으로)

  • Cho, Jin-Hyung;Lee, S.J.;Oh, H.S.;Baek, S.S.;Kim, O.J.;Kim, B.K.;Jeong, K.S.;Park, S.H.;Kwon, D.C.;Ko, J.H.;Ryu, J.H.;Shim, S.C.
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.37 no.4
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    • pp.106-115
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    • 2014
  • Until now, because a new product (or facility) launched in market has been retired from one year of age, we can have had ASL by stub-curve method by Iowa curve. Recently, many innovative products with important role in market like display and solar-cell etc. are more durable and, what are better, they have the constant variance in ASL because of their good quality. Of course, there are some ones like smart mobile phone with relatively big dispersion in ASL. Estimating ASL of products like display and solar-cell etc., the new approach is needed. In this paper a new method applied traditional Iowa curve with accelerated reliability test (indoor/outdoor) etc. is proposed.

A Study on the Computed Mortality Method in Life Analysis (CM 방법을 활용한 설비 수명분석)

  • Oh, Hyun-Seung;Rhee, Hahn-Kyou;Cho, Jin-Hyung
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.32 no.2
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    • pp.179-185
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    • 2009
  • 공공사업이나 자동화 생산시스템 등에 있어서 설비 자산이 차지하는 비중은 매우 크며 이러한 설비들의 경제적 설비 대체 분석을 위하여 설비에 대한 수명분석이 이루어져야 한다. 본 논문에서는 설비들의 폐기 자료가 불충분한 경우의 수명분석에서 Iowa형 생존곡선을 기초로 한 CM 방법을 제시하였다. 기존의 SPR 방법이 평균 수명만을 추정하는데 비하여 제시된 CM 방법은 설비의 수명분포를 추정함으로써 평균 수명뿐만 아니라 폐기 자료의 폐기곡선과 폐기율을 추정할 수 있어 설비 교체 분석 시 유용하게 사용될 수 있다.