• Title/Summary/Keyword: Repair and Replacement Cost

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OPPORTUNISTIC AGE REPLACEMENT POLICY

  • Jhang, Jhy-Ping
    • 한국품질경영학회:학술대회논문집
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    • 한국품질경영학회 1998년도 The 12th Asia Quality Management Symposium* Total Quality Management for Restoring Competitiveness
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    • pp.269-276
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    • 1998
  • This paper proposes an opportunistic age replacement policy. The system has two types of failures. Type I failures (minor failures) are removed by minimal repairs, whereas type II failures are removed by replacements. Type I and type II failures are age-dependent. A system is replaced at type II failure (catastrophic failure) or at the opportunity after age T, whichever occurs first. The cost of the minimal repair of the system at age z depends on the random part C(z) and the deterministic part c(z). The opportunity arises according to a Poisson process, independent of failures of the component. The expected cost rate is obtained. The optimal $T^{\ast}$ which would minimize the cost rate is discussed. Various special cases are considered. Finally, a numerical example is given.

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2상태 동적 설비교체 모형 (The Two-State Dynamic Equipment Replacement Model)

  • 장현기;김창은
    • 대한안전경영과학회:학술대회논문집
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    • 대한안전경영과학회 2004년도 추계학술대회
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    • pp.115-123
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    • 2004
  • Replacement problems can be classed as either deterministic of stochastic. Deterministic problems are those in which the timing and the outcome of the replacement action are assumed to be known with certainty. Before proceeding with development of replacement models it is important to note that preventive replacement actions, that is, ones taken before equipment reaches a failed state, require two necessary conditions: (1) The total cost of the replacement must be greater after failure than before. (2) The failure rate of the equipment must be increasing. Equipment is subject to failure. On failure, one of two possible actions can be taken : repair or complete replacement of the failed equipment. In this paper, we proposed optimal overhaul, repair, replacement maintenance model with two-state.

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BIM기반 건축물 수선교체비 산정 프로세스 (BIM-based Repair&Replacement (R&R) Cost Estimating Process)

  • 박지은;유정호
    • 한국건설관리학회논문집
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    • 제17권2호
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    • pp.31-38
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    • 2016
  • 건설사업비 중 건축물의 유지관리비용이 차지하는 비중이 초기투자비만큼이나 상당하며 국내의 경우 건설공사의 생애주기비용(LCC)관점에서 설계VE검토 업무를 시행하고 있다. 건설산업의 정보화와 고도화 급속히 진행됨에 따라 BIM에 대한 관심이 고조되고 있다. 2012년부터 조달청은 500억원 이상인 공공공사에 BIM적용을 의무화를 시작으로 2016년부터 조달청이 발주하는 모든 공공공사에 BIM적용이 의무화된다. 건축설계의 패러다임이 2D방식에서 3D, 데이터관리 관점의 BIM으로의 전환이 정책적으로 이루어지고 있는 환경에서, LCC측면에서의 BIM활용에 대한 연구는 미흡한 실정이다. 특히, LCC분석 요소 중 하나인 수선교체비 산정을 위한 BIM 소프트웨어는 부재하며 상용화된 BIM저작도구에서 수선교체비 산정을 위한 정보의 전달이 부족하다. 따라서 본 연구에서는 데이터 표준 포맷인 IFC기반 수선교체비 산정을 위한 프로세스를 제안한다. 먼저, 현재 존재하는 수선교체 기준을 분석하고 BIM기반 수선교체비 산정 요구정보를 정의한다. 정의된 요구정보는 각 정보에 해당하는 IFC를 통해 추출되고, BIM기반 수선교체비 산정 요구정보 DB에 저장된다. 이는 외부 DB인 수선교체기준DB와 단가DB와 연계하여 수선교체비를 산정한다. 본 연구가 제시하는 프로세스를 통해 BIM환경에 대응하여 BIM모델을 활용한 수선교체비 산정의 효율화를 기대하며 수선교체비 뿐만 아니라 초기공사비, 에너지비용, 유지관리비용에 이르기까지 향후 LCC분석 요소에 확장하여 적용이 가능할 것이며 BIM기반 LCC분석의 표준화에 기여할 수 있다.

BIM기반 건축물 수선교체비 산정 자동화방안 제시 (Suggestion of an Automatic BIM-based Repair & Replacement (R&R) Cost Estimating Process)

  • 박지은;유정호
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2016년도 춘계 학술논문 발표대회
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    • pp.87-88
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    • 2016
  • In order to assess the design value of engineering work from the point of view of LCC (Life Cycle Cost) in Korea, it is mandatory for all construction works that the total construction costs are over 10 billion won. The LCC includes initial construction costs, maintenance & operation costs, energy costs, end-of-life costs, and so on. Among these, the portion for maintenance & operation costs for a building is sizeable, as compared to the initial construction costs. Furthermore, the paradigm for construction industry has rapidly shifted from 2D to BIM, which includes design planning and data management. However, the study of BIM-based LCC analysis is not adequate today, even though all domestic construction projects ordered by the Public Procurement Service have to adopt BIM. Therefore, this study suggests a methodology of BIM-based LCC analysis that is particularly focused on repair and replacement (R&R) cost. For this purpose, we defined requirements of calculating R&R cost and extracted X from the relevant IFC data. Thereafter, we input them to the ontology of calculating the initial construction costs to obtain an objective output. Finally, in order to automatically calculate R&R cost, mapping with R&R criteria was performed. We expect that our methodology will contribute to more efficiently calculate R&R cost and, furthermore, that this methodology will be applicable to all range of total LCC. Thus, the proposed process of automatic BIM-based LCC analysis will contribute to making LCC analysis more fast and accurate than it is at present.

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Markovian 접근방법을 이용한 직렬생산시스템의 검사정책 (Markovian Approach of Inspection Policy in a Serial Manufacturing System)

  • 정영배;황의철
    • 산업경영시스템학회지
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    • 제11권17호
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    • pp.81-85
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    • 1988
  • This paper presents a model that considers combinations of rework, repair, replacement and scrapping. Policy-Iteration method of inspection is proposed for a serial manufacturing system whose repair cost, scrap cost and inspection cost. when it fails, can be formulated by Markovian approach. Policy-Iteration stops when new inspection policy is the same as previous inspection policy. A numerial example is presented.

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Replacement Model Based on Cost and Downtime

  • Jung, Ki-Mun;Han, Sung-Sil;Lim, Jae-Hak
    • Journal of the Korean Data and Information Science Society
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    • 제14권4호
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    • pp.889-901
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    • 2003
  • In this paper, we consider the optimal replacement policies following the expiration of the combination warranty. The combination warranty can be divided into the renewing combination warranty and the non-renewing combination warranty. The criterion used to determine the optimal replacement period is the overall value function based on the expected cost and the expected downtime. Thus, we obtain the expected cost rate per unit time and the expected downtime per unit time for our model. And then the overall value function suggested by Jiagn and Ji(2002) is applied to obtain the optimal replacement period. The numerical examples are presented for illustrative purpose.

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품질하자보증비의 추정 (Estimation of Warranty Cost)

  • 최정호;이상용
    • 산업경영시스템학회지
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    • 제20권43호
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    • pp.357-364
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    • 1997
  • After the buyer purchases the product, the seller's role does not end. If the product fails to function properly before the end of the warranty period, the seller is responsible for its repair or replacement under the seller's warranty policy. There are two common types of warranty policies: the free replacement warranty and the rebate warranty. Under the free replacement warranty policy, replacement or repairs during the warranty period are provided by the seller free of charge to the buyer. Under the rebate warranty policy, a failed item is replaced by a new one or is repaired at a cost to the age of the failed item. The rebate warranty is most often used for items such as a battery or an automobile tire which wear out and must be replaced at failure. This paper proposes a easy way of estimating the warranty cost under the free replacement warranty policy assuming an exponential product failure function on repairable products.

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Periodic Preventive Maintenance Policies when Minimal Repair Costs Vary at Failures

  • Joon Keun Yum;Gi Mun Jung;Dong Ho Park
    • 품질경영학회지
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    • 제25권3호
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    • pp.86-95
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    • 1997
  • This paper considers a repairable system, which is maintained preventively at periodic times and is minimally repaired at each failure. Most preventive maintenance policies for such repairable systems assume that the cost of minimal repair is constant regardless of its age at failure. However, it is more practical to consider the situations where the cost of minimal repair is dependent not only on its age at failue, but also on the number of preventive maintenance carried out prior to its failure. We consider the preventive maintenance carried out prior to its failure. We consider the preventive maintenance policy with age-dependent minimal repair cost. The optimal policies which minimize the expected cost rate over an infinite time span are discussed. We obtain the optimal period and number of preventive maintenance prior to replacement of the system.

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An Opportunity-based Age Replacement Policy with Warranty Analysed by Using TTT-Transforms

  • Iskandar, Bermawi P.;Klefsjo, Bengt;Sandoh, Hiroaki
    • International Journal of Reliability and Applications
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    • 제1권1호
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    • pp.27-38
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    • 2000
  • In a recent paper Iskandar & Sandoh (1999) studied an opportunity-based age replacement policy for a system which has a warranty period (0,S]. When the system fails at age x $\leq$ S a minimal repair is performed. If an opportunity occurs to the system at age x, S $\leq$ x $\leq$ T, we take the opportunity with probability p to preventively replace the system, while we conduct a corrective .replacement when its fails in (S,T). Finally, if its age reaches T, we perform a preventive replacement, Under this policy the design variable is T. For the case when opportunities occur according to a homogeneous Poisson process, the long-run average cost of this policy was formulated and studied analytically by Iskandar & Sandoh (1999). The same problem is here analysed by using a graphical technique based on scaled TTT-transforms. This technique gives, among other things, excellent possibilities for different types of sensitivity analysis. We also extend the discussion to the situation when we have to estimate T based on times to failure.

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사전확률분포와 Marcov Chain Monte Carlo법을 이용한 최적보전정책 연구 (Optimal Maintenance Policy Using Non-Informative Prior Distribution and Marcov Chain Monte Carlo Method)

  • 하정랑;박민재
    • 한국신뢰성학회지:신뢰성응용연구
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    • 제17권3호
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    • pp.188-196
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    • 2017
  • Purpose: The purpose of this research is to determine optimal replacement age using non-informative prior information and Bayesian method. Methods: We propose a novel approach using Bayesian method to determine the optimal replacement age in block replacement policy by defining the prior probability with data on failure time and repair time. The Marcov Chain Monte Carlo simulation is used to investigate the asymptotic distribution of posterior parameters. Results: An optimal replacement age of block replacement policy is determined which minimizes cost and nonoperating time when no information on prior distribution of parameters is given. Conclusion: We find the posterior distribution of parameters when lack of information on prior distribution, so that the optimal replacement age which minimizes the total cost and maximizes the total values is determined.