• Title/Summary/Keyword: Replacement Management

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Determination of Optimal Replacement Period for A Multicomponent System Consider with Failure Types (고장형태(故障形態)를 고려(考慮)한 다부품장비(多部品裝備)의 최적교환시기(最適交換時期) 결정(決定))

  • Lee, Seung-Jun;Gang, Chang-Uk;Hwang, Ui-Cheol
    • Journal of Korean Society for Quality Management
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    • v.19 no.2
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    • pp.117-124
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    • 1991
  • In this paper, it is assumed that a system is composed of an essential unit and a nonessential unit. During the running of the system, an essential unit is replaced at periodic replacement time T or at nth failure of essential unit whichever occurs first. Nonessential unit is replaced at its failure and at the replacement of essential unit. This paper derive optimal replacement period which minmises the total expected cost for replacement. The unimodality of totoal maintenance cost function is proved under the assumption that hazard rate of each component is continuous and monotone increasing failure rate(IFR). Based on this condition, it is shown that the optimal replacement period is finite and unique.

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An Asymmetric Buffer Management Policy for SSD (SSD를 위한 비대칭 버퍼 관리 기법)

  • Jung, Ho-Young;Kang, Soo-Yong;Cha, Jae-Hyuk
    • Journal of Digital Contents Society
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    • v.12 no.2
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    • pp.141-150
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    • 2011
  • Recently the Solid State Drive (SSD) is widely used for storage system of various mobile devices. In this case, existing buffer replacement algorithms based on the hard disk do not consider characteristics of flash memory, so it caused performance degradation of the system. This paper proposes a novel buffer replacement policy called ABM (Asymmetric Buffer Management) policy. ABM policy separates read and write buffer space and applies different replacement unit and replacement algorithm for each buffer. In addition, write buffer delay scheme and dynamic size adaptation algorithm is applied for better performance. ABM outperforms other replacement policies, especially ABM-LRU-CLC shows 32% better performance than normal LRU policy.

Equipment replacement cost analysis within the construction industry

  • Oh, Hyun-Seung
    • Korean Management Science Review
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    • v.8 no.1
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    • pp.41-50
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    • 1991
  • Within the current construction industry, constractor equipment management practices lack structure and often are not addressed through an economic analysis and evaluation process. This paper explores two areas...cost of capital and inflation...with the intention of providing insight for a more structured and economic based approach to contractor equipment replacement practices rather than by the traditional "rule of thumb".umb".uot;.

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Discrete Block Replacement Policies under Random Use Durations (확률적인 사용시간하의 이산적 일제교체정책)

  • Yoo Young Kwan
    • Journal of Korean Society for Quality Management
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    • v.32 no.3
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    • pp.62-67
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    • 2004
  • This paper presents and compares two block replacement policies under random use durations. The units are put in service altogether and then idle for some time. The time durations during which units are put in service are random variables. Two block replacement policies, called N-policy and T-policy, are presented. Under N-policy, units are replaced altogether after the Nth use. Under T-policy, units are replaced altogether at the end of the use after cumulative use time T elapses. The failures during use durations are replaced by new ones individually. The cost rate expressions under the policies are derived for exponential use durations. Numerical examples are presented to compare the performances of the two policies.

A Note on Periodic Replacement with Minimal Repair at Failure

  • Park, Young Taek
    • Journal of Korean Society for Quality Management
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    • v.12 no.2
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    • pp.2-5
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    • 1984
  • Periodic replacement model with minimal repair at failure is extended to the case where quantity purchases are possible. A recursive relationship among replacement intervals is obtained, which shows that replacement intervals are an increasing sequence due to the inventory carrying cost. Using the relationship, a procedure is given for determining how many units to purchase on each order and when to replace each unit after it has begun operating so as to minimize the total cost per unit time over an infinite time span. The problem can be simplified if equal replacement intervals are assumed, and the solution is very close to the solution of the unconstrained problem.

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Joint Optimization of Age Replacement and Spare Provisioning Policy (수명교체와 예비품 재고 정책의 통합 최적화)

  • Lim, Sung-Uk;Park, Young-Taek
    • Journal of Korean Society for Quality Management
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    • v.40 no.1
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    • pp.88-91
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    • 2012
  • Joint optimization of preventive age replacement and inventory policy is considered in this paper. There are three decision variables in the problem: (i) preventive replacement age of the operating unit, (ii) order quantity per order and (iii) reorder point for spare replenishment. Preventive replacement age and order quantity are jointly determined so as to minimize the expected cost rate, and then the reorder point for meeting a desired service level is found. A numerical example is included to explain the joint optimization model.

Periodic Replacement of a System Subject to Shocks under Random Operating Horizon (랜덤한 운용시평하에서 충격 시스템의 보전방안)

  • Yoo, Youngkwan
    • Journal of the Korea Safety Management & Science
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    • v.23 no.4
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    • pp.105-112
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    • 2021
  • This paper presents a periodic replacement policy for a system subject to shocks when the system is operating for a finite random horizon. The system is subject to shocks during operation, and each shock causes downgrading of the system performance and makes it more expensive to run by the additional running cost. Shocks arrive according to a nonhomogeneous or a renewal process, and we develop periodic replacement policies under a finite random operating horizon. The optimum periodic replacement interval which minimizes the total operating cost during the horizon is found. Numerical examples are presented to demonstrate the results.

STOCHASTIC INEQUALITIES IN TWO REPAIRABLE UNITS

  • PARK, TAE-KEUN;PARK, YOUNG-SUNG
    • Honam Mathematical Journal
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    • v.23 no.1
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    • pp.145-158
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    • 2001
  • In this paper we investigated a replacement model with two types of repairs. Repairs are classified into minimal and perfect repair. An operating unit is completely replaced whenever it reaches age ${\tau}({\tau}>0)$(planned replacement). If it fails at age $t<{\tau}$, it is either restored by a entire unit with probability p(t)(perfect repair), or it undergoes minimal repair with probability $\bar{p}(t)=1-p(t)$. After a planned replacement, the procedure is repeated.

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Optimal Number of Failures before Group Replacement under Minimal Repair

  • Young Kwan, Yoo
    • Journal of the Korea Safety Management & Science
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    • v.6 no.1
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    • pp.61-70
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    • 2004
  • In this paper, a group replacement policy based on a failure count is analysed. For a group of identical repairable units, a maintenance policy is performed with two phase considerations: a repair interval phase and a waiting interval phase. Each unit undergoes minimal repair at failure during the repair interval. Beyond the interval, no repair is made until a number of failures. The expected cost rate expressions under the policy is derived. A method to obtain the optimal values of decision variables are explored. Numerical examples are given to demonstrate the results.

Preventive Replacement Policy with the Number of General Repairs (일반수리회수에 의한 장비 교환 정책)

  • 김용필;윤덕금
    • Journal of Korean Society for Quality Management
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    • v.28 no.3
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    • pp.11-17
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    • 2000
  • This paper presents a model for determining the optimal number of general repairs and supplementary input cost limit rate in addition to minimal repair cost rate to implement preventive maintenance. The basic concept parallels the periodic replacement model with minimal repair at failure introduced by Barlow and Hunter(1960) and Park(1979), only difference being the replacement signalled by the number of previous general repairs performed on the system. A general repair brings the state of the system to a certain better state than before repaired. Numerical examples are provided.

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