• Title/Summary/Keyword: learning Curve Effect

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Compound Learning Curve Model for Semiconductor Manufacturing (반도체에 적합한 복합 학습곡선 모형)

  • Ha, Chung-Hun
    • IE interfaces
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    • v.23 no.3
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    • pp.205-212
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    • 2010
  • The learning curve model is a mathematical form which represents the relationship between the manufacturing experience and its effectiveness. The semiconductor manufacturing is widely known as an appropriate example for the learning effect due to its complicated manufacturing processes. In this paper, I propose a new compound learning curve model for semiconductor products in which the general learning curve model and the growth curve are composed. The dependent variable and the effective independent variables of the model were abstracted from the existing learning curve models and selected according to multiple regression processes. The simulation results using the historical DRAM data show that the proposed compound learning curve model is one of adequate models for describing learning effect of semiconductor products.

Estimation of the Effect of DSM Program by Analyzing the Learning Curve of a Product (학습곡선을 이용한 수요관리의 효과 추정)

  • 최준영;송경빈
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.53 no.4
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    • pp.208-213
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    • 2004
  • In this paper, a new method for the estimation of the effect of DSM program is proposed. By identifying the learning curve of high efficient induction motor, the effect of DSM program applied to that product can be estimated. The learning curve of normal induction motor, to which no DSM program is applied, is identified also. Both learning curves, which are different shapes, means different teaming ratio. It can be concluded that DSM program makes the learning curve of the product change the shape. It also can be concluded that DSM program has influence on the sale of the product to which it is applied.

Estimation of the Effect of DSM Program by Analyzing the Learning Curve of a Product (학습곡선을 이용한 수요관리의 효과 추정)

  • 최준영;송경빈
    • The Transactions of the Korean Institute of Electrical Engineers B
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    • v.53 no.4
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    • pp.208-208
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    • 2004
  • In this paper, a new method for the estimation of the effect of DSM program is proposed. By identifying the learning curve of high efficient induction motor, the effect of DSM program applied to that product can be estimated. The learning curve of normal induction motor, to which no DSM program is applied, is identified also. Both learning curves, which are different shapes, means different teaming ratio. It can be concluded that DSM program makes the learning curve of the product change the shape. It also can be concluded that DSM program has influence on the sale of the product to which it is applied.

Statistical Modeling of Learning Curves with Binary Response Data (이항 반응 자료에 대한 학습곡선의 모형화)

  • Lee, Seul-Ji;Park, Man-Sik
    • Communications for Statistical Applications and Methods
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    • v.19 no.3
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    • pp.433-450
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    • 2012
  • As a worker performs a certain operation repeatedly, he tends to become familiar with the job and complete it in a very short time. That means that the efficiency is improved due to his accumulated knowledge, experience and skill in regards to the operation. Investing time in an output is reduced by repeating any operation. This phenomenon is referred to as the learning curve effect. A learning curve is a graphical representation of the changing rate of learning. According to previous literature, learning curve effects are determined by subjective pre-assigned factors. In this study, we propose a new statistical model to clarify the learning curve effect by means of a basic cumulative distribution function. This work mainly focuses on the statistical modeling of binary data. We employ the Newton-Raphson method for the estimation and Delta method for the construction of confidence intervals. We also perform a real data analysis.

Analysis on Offset Factors of Learning Curve Effect and Estimation of Labor Productivity in High-rise Projects (초고층 프로젝트에서의 학습곡선효과 상쇄요인 분석 및 작업 생산성 산정 방법 제시)

  • Lee, Bogyeong;Park, Moonseo;Lee, Hyun-Soo;Kim, Hyunsoo;Moon, MyungGi
    • Korean Journal of Construction Engineering and Management
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    • v.14 no.6
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    • pp.38-48
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    • 2013
  • Focusing on repetitive works of construction, many research have been conducted about application of the learning curve effect. However, it is still controversial, especially on the high-rise project, since the productivity improvement from the learning curve effects are hard to prove. In the previous research, applicability of the learning curve was mainly derived from the labor productivity data. Although the research were based on the real data, they merely concentrated on the simple conclusion that the labor productivity had improved or not, instead of the process interpretation. Therefore, the purpose of this research is to analyze the influence factors of the learning curve effect in high-rise projects and elucidate the offset factors of the effect. Based on these factors, a model for estimating the labor productivity containing the concept of process learning is suggested. Through our research, traditional learning curve theory could be compensated and re-established with having more appropriateness for high-rise projects.

A Study on the Cost-Volume-Profit Analysis Adjusted for Learning Curve (C.V.P. 분석에 있어서 학습곡선의 적용에 관한 연구)

  • 연경화
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.5 no.6
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    • pp.69-78
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    • 1982
  • Traditional CVP (Cost-Volume-Profit) analysis employs linear cost and revenue functions within some specified time period and range of operations. Therefore CVP analysis is assumption of constant labor productivity. The use of linear cost functions implicity assumes, among other things, that firm's labor force is either a homogenous group or a collection homogenous subgroups in a constant mix, and that total production changes in a linear fashion through appropriate increase or decrease of seemingly interchangeable labor unit. But productivity rates in many firms are known to change with additional manufacturing experience in employee skill. Learning curve is intended to subsume the effects of all these resources of productivity. This learning phenomenon is quantifiable in the form of a learning curve, or manufacturing progress function. The purpose d this study is to show how alternative assumptions regarding a firm's labor force may be utilize by integrating conventional CVP analysis with learning curve theory, Explicit consideration of the effect of learning should substantially enrich CVP analysis and improve its use as a tool for planning and control of industry.

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The analysis on learning effect of reaction time to the stimulus (자극에 의한 반응시간의 학습효과에 관한 연구)

  • S.L.Seung;Lee, S.D.
    • Proceedings of the ESK Conference
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    • 1992.10a
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    • pp.113-120
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    • 1992
  • In this paper, a mathematical model of learning curve is proposed to study the finger's reaction time. The model is a logarithmic linear type which represents a learning curve appropriately, and parameters are estimated by the linear. The learning coefficient and percentage of a reaction time can be easily computed in the mathematical model. This quantitative approach provides an important information to be used for the working capability qualification for re-employment as well as for the adaptability estimation of aged workers.

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A Theoretical Review on the Experience Curve toy Energy Technology (에너지기술의 학습 효과에 대한 이론적 고찰)

  • Chang, Han-Soo;Choi, Ki-Ryun
    • Journal of Energy Engineering
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    • v.15 no.4 s.48
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    • pp.209-228
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    • 2006
  • The learning effect is one of the theoretical frameworks that examine the mechanisms of the deployment of energy technologies. The objective of this paper is to provide a theoretical overview and a critical analysis of the literature on the experience curve for energy technology. For these objectives, we review a couple of theoretical aspects and applications and investigate the sources of learning and cost reductions to grasp the mechanisms of teaming effect. Finally we conclude some insights from our theoretical reviews.

Modeling of The Learning-Curve Effects on Count Responses (개수형 자료에 대한 학습곡선효과의 모형화)

  • Choi, Minji;Park, Man Sik
    • The Korean Journal of Applied Statistics
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    • v.27 no.3
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    • pp.445-459
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    • 2014
  • As a certain job is repeatedly done by a worker, the outcome comparative to the effort to complete the job gets more remarkable. The outcome may be the time required and fraction defective. This phenomenon is referred to a learning-curve effect. We focus on the parametric modeling of the learning-curve effects on count data using a logistic cumulative distribution function and some probability mass functions such as a Poisson and negative binomial. We conduct various simulation scenarios to clarify the characteristics of the proposed model. We also consider a real application to compare the two discrete-type distribution functions.

An analysis of learning effect of finger's reaction time for middle and old aged

  • 서승록;이상도
    • Journal of the Ergonomics Society of Korea
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    • v.11 no.2
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    • pp.47-56
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    • 1992
  • In this paper, a mathematical model of learning curve is proposed to study the fi- nger's reaction time. The model is a logarithmic linear type which represents a lear- ning curve appropriately, and parameters are estimated by the linear. The learning coefficient and percentage of a reaction time can easily computed in the mathematical model. This quantitative approach provieds an important information to be used fot the working capqbility qualification of re-employment as well as the adaptability estimation of aged workers.

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