• Title/Summary/Keyword: repair model

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Change of Surviving Fractions based on the Recovery of Potentially Lethal Damage in HFL-I Cell Line (HFL-I 세포의 잠재적 치사 손상 회복에 따른 세포 생존율 변화)

  • Choi, Eunae
    • Journal of the Korean Society of Radiology
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    • v.11 no.3
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    • pp.147-151
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    • 2017
  • Potentially lethal damage repair (PLDR) in HFL-I was investigated by delayed plating experiments. The surviving fraction data were fitted to the linear Quadratic equation ($LogSn=-n{\gamma}({\alpha}d+{\beta}d^2$) where ${\gamma}=1$ for immediate plating). And a repair factor ${\gamma}$ was developed to compare survival for immediate and delayed plating. When we only took into account the repair factor of PLDR ${\gamma}$ which was derived from the delay assay, the cell survival response th fractionated carbon ion irradiation was not fully matched. This gap suggested that consideration of another repair process is necessary. So this suggests that the various repair process plays an important role in the fractionated irradiations.

Cost analysis for minimal repair model in stepdown warranty policy (단계별 보증제도에서 응급수리 모형에 관한 보증비용 분석)

  • 김재중;김원중
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.16 no.27
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    • pp.21-25
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    • 1993
  • This article is concerned with cost analysis in stepdown warranty policy. The repair of item is divided into two policies. First, perfect repair can be considered that the failurerate is the same as new item. Second, minimal repair is shown that the failurerate is the same as just before the item failure In this paper, the minimal repair model is introduced. And it is assumed that manufacturers repair the item failure within the warranty periodn. But warranty period is not renewed at all. At this point the warranty cost is analyzed in manufacturer's and customer's point of view.

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A study on the optimized requirement estimation of K-1 tank repair parts (K-1전차 수리부속 최적소요산정에 관한 연구)

  • 김희철;최석철
    • Journal of the military operations research society of Korea
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    • v.26 no.2
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    • pp.39-54
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    • 2000
  • This research is carried out solving problem of reduction in the rate of operation for the k-1 tank in order to increase the availability, caused by the delay in supply of k-1 tank repair parts in field operations. In other words, the study aims to find the most suitable requirement estimate pattern for the main repair parts that are used for k-1 tank. This study intends to present the most suitable requirement estimate pattern for k-1 trank repair pats by comparing the results of repair parts consumption data in relation to their pattern created by the programs of the requirement estimate technique(moving average method) currently used in the Army and adaptive exponential smoothing model. The results of this study numerically proved that the adaptive exponential smoothing model is the most appropriate technique in estimating the requirement for k-1 tank repair parts.

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A New Model for Basic Microsurgical Nerve Repair Simulation: Making the Most Out of Less

  • Bogdan Ioncioaia
    • Archives of Plastic Surgery
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    • v.50 no.2
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    • pp.220-221
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    • 2023
  • Microsurgical peripheral nerve repair is a technical and challenging procedure that requires thorough training prior to a real-life operating theater scenario. While the gold standard in training remains training on biological living peripheral nerve specimen, various inanimate models of nerve repair simulation have been described in the past years. The textile elastic band (TEB) obtained from a surgical mask was either covered with a fine silicone sheath or was left bare and was used afterward for end-to-end coaptation. The average diameter of the TEB was 2 mm, similar with the nerves in the distal hand and can be easily crafted out of accessiblematerials such as a surgicalmask and silicone sealant. The silicone that covers the TEB offers more fidelity to the simulation for microsurgical nerve coaptation. The TEB model offers an affordable, available, and easy-to-craft alternative to the existing models for peripheral nerve repair simulation and serves as a good initiation tool before moving on to biological specimens.

A Study on the Demand Prediction Model for Repair Parts of Automotive After-sales Service Center Using LSTM Artificial Neural Network (LSTM 인공신경망을 이용한 자동차 A/S센터 수리 부품 수요 예측 모델 연구)

  • Jung, Dong Kun;Park, Young Sik
    • The Journal of Information Systems
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    • v.31 no.3
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    • pp.197-220
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    • 2022
  • Purpose The purpose of this study is to identifies the demand pattern categorization of repair parts of Automotive After-sales Service(A/S) and proposes a demand prediction model for Auto repair parts using Long Short-Term Memory (LSTM) of artificial neural networks (ANN). The optimal parts inventory quantity prediction model is implemented by applying daily, weekly, and monthly the parts demand data to the LSTM model for the Lumpy demand which is irregularly in a specific period among repair parts of the Automotive A/S service. Design/methodology/approach This study classified the four demand pattern categorization with 2 years demand time-series data of repair parts according to the Average demand interval(ADI) and coefficient of variation (CV2) of demand size. Of the 16,295 parts in the A/S service shop studied, 96.5% had a Lumpy demand pattern that large quantities occurred at a specific period. lumpy demand pattern's repair parts in the last three years is predicted by applying them to the LSTM for daily, weekly, and monthly time-series data. as the model prediction performance evaluation index, MAPE, RMSE, and RMSLE that can measure the error between the predicted value and the actual value were used. Findings As a result of this study, Daily time-series data were excellently predicted as indicators with the lowest MAPE, RMSE, and RMSLE values, followed by Weekly and Monthly time-series data. This is due to the decrease in training data for Weekly and Monthly. even if the demand period is extended to get the training data, the prediction performance is still low due to the discontinuation of current vehicle models and the use of alternative parts that they are contributed to no more demand. Therefore, sufficient training data is important, but the selection of the prediction demand period is also a critical factor.

Relationship Between Yield and Cost Considering Repair and Rework for LCD Manufacturing System (LCD생산시스템에서 Repair와 Rework을 고려한 수율과 원가 분석 모델)

  • Ha, Chunghun
    • Journal of Korean Institute of Industrial Engineers
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    • v.33 no.3
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    • pp.364-372
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    • 2007
  • The cost modeling of the LCD manufacturing system with the repair and the rework process is hard to achieve because of it's complex manufacturing process. The technical cost modeling divides each process separately and hierarchically, so it is very useful to calculate the total manufacturing cost of the complex manufacturing system. We applied the method to the complex LCD manufacturing system to obtain more accurate cost model. Yields are the most important control parameters in manufacturing. In this paper, we propose a yield based cost model for the LCD manufacturing system and reveal the relationship between manufacturing yield and cost. Through the model, we can estimate the manufacturing cost on the basis of yields that are control indicators of manufacturing. Some simulations are performed to observe the effects of the yield to the cost, and the results are coincide with the real situation. With the proposed model, we expect to develop some optimization problems for enlarging productivity in the LCD industry.

Study on the inventory level of repair parts for tanks (전차부품 재고관리 연구)

  • Won Un-Sang;Jung Chang-Yong
    • Journal of the military operations research society of Korea
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    • v.4 no.1
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    • pp.57-68
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    • 1978
  • In forecasting the demand rate of repair parts for old tank types under the limited historical data, this reportan alyzes which techniques give the smallest forecasting error, also economic repair limits and the return for additional repair costs are formulated as a mathematical model

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Optimizations of Imperfect Repair Models

  • Lee, Eui-Yong;Park, Seung-Kyoung
    • Communications for Statistical Applications and Methods
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    • v.8 no.3
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    • pp.711-717
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    • 2001
  • Two imperfect repair models for system are considered, one introduced by Brown and Proschan(1983) and the other by Lee and Seoh(1999). We, in this paper, after assigning repair costs to the system, optimize both repair models, when the underlying life distributions of the system are exponential, uniform and Weibull.

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The Effects of Welding Conditions on Allowable Heat Input in Repair Weld of In-Service Pipeline

  • Kim, Y.P.;Baek, J.H.;Kim, W.S.;Bang, I.W.;Oh, K.H.
    • International Journal of Korean Welding Society
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    • v.1 no.2
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    • pp.30-35
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    • 2001
  • Nowadays, repair welding on in-service natural gas pipeline is a matter of primary concern of gas company. The main purpose of this study is to investigate the effects of welding conditions on the allowable heat input for crack-free welds and welds without burn-through onto in-service natural gas pipeline. First of all, single pass weld bead on plates of the various thickness was deposited to evaluate the penetration of weld metal, the depth of heat affected zone and the hardness of repair weld under various welding conditions. Also, finite element analysis has been conducted to validate experimental results of bead-on plate welds and to develop appropriate model for repair welding. The welding experiments of bead-on-plate weld confirmed the influence of plate thickness, heat input and welding process on safety. And, the finite element model was demonstrated by comparing experimental results. The agreement between the computed and measured values was shown to be generally good. Therefore, It is possible to predict the safety of repair welding under various welding conditions with experimental results and finite element analysis model.

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Probabilistic LCC evaluation for Surface Repair of carbonated RC structure (탄산화된 RC구조물의 표면보수에 대한 확률론적 LCC 평가)

  • Lee, Hyung-Min;Yang, Hyun-Min;Lee, Han-Seung
    • Journal of the Architectural Institute of Korea Structure & Construction
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    • v.34 no.2
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    • pp.41-48
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    • 2018
  • Carbonation is one of the major detrimental factors to the reinforced concrete structures owing to penetration of atmospheric CO2 through the micro pores, thereby it reduces the durability of the concrete. The maintenance periods and cost for concrete according to the coefficient variation of different finishing materials is documented in literature. However, it is required to carry out the systematic and well planned studies. Therefore, keeping them in mind, surface repair was carried out to the carbonated concrete and the maintenance cost was calculated to measure the durability life after repair with different variable. The deterministic and probabilistic methods were applied for durability and repair cost of the concrete. In the existing deterministic model, the cost of repair materials increases significantly when the concrete structure reaches its service life. In present study using a stochastic model, the maintenance period and cost was evaluated. According to obtained results, there was no significant difference in the number of maintenance of the coefficient variation. The initial durability has a great influence on the maintenance time and cost of the structure. Unlike the deterministic model, the probabilistic cost estimating model reduces the number of maintenance to the target service life expectancy.