• Title/Summary/Keyword: Productivity Increases

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The Effect of Worker Heterogeneity in Learning and Forgetting on System Productivity (학습과 망각에 대한 작업자들의 이질성 정도가 시스템 생산성에 미치는 영향)

  • Kim, Sungsu
    • Journal of the Korean Operations Research and Management Science Society
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    • v.40 no.4
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    • pp.145-156
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    • 2015
  • Incorporation of individual learning and forgetting behaviors within worker-task assignment models produces a mixed integer nonlinear program (MINLP) problem, which is difficult to solve as a NP hard due to its nonlinearity in the objective function. Previous studies commonly assume homogeneity among workers in workforce scheduling that takes account of learning and forgetting characteristics. This paper expands previous researches by considering heterogeneous individual learning/forgetting, and investigates the impact of worker heterogeneity in initial expertise, steady-state productivity, learning and forgetting on system performance to assist manager's decision-making in worker-task assignments without tackling complex MINLP models. In order to understand the performance implications of workforce heterogeneity, this paper examines analytically how heterogeneity in each of the four parameters of the exponential learning and forgetting (L/F) model affects system performance in three cases : consecutive assignments with no break, n breaks of s-length each, and total b break-periods occurred over T periods. The study presents the direction of change in worker performance under different assignment schedules as the variance in initial expertise, steady-state productivity, learning or forgetting increases. Thus, it implies whether having more heterogenous workforce in terms of each of four parameters in the L/F model is desired or not in different schedules from the perspective of system productivity measurement.

Analysis of the Productivity Changes in Government-funded Research Institute for Economies & Humanities and Social Sciences (경제인문사회분야 정부출연연구기관의 생산성 변화 분석)

  • Jeon, Seong-Wook;Kim, Seong-Jong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.10
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    • pp.6066-6075
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    • 2014
  • The aim of this study was to analyze the productivity changes in government-funded research institutes for Economics & Humanities and Social Sciences. From Malmquist total factor productivity index analysis, the average productivity decreased 6.5% between 2006 and 2010. Further analysis showed that technical efficiency increased 4.7% annually while the technology change rate decreased 10.8% on average. Under pressure for innovation from the outside, research institutes responded to managerial efficiency improvement, which lead to increases in technical efficiency. On the other hand, for productivity improvement of government funded research institutes, they must pursue technological advances by securing an outstanding research workforce, expanding the R&D budget, and changing the R&D method. Each institute must perceive the cause of an individual institute's productivity change, and establish strategies for increasing productivity.

Forecasting Sow's Productivity using the Machine Learning Models (머신러닝을 활용한 모돈의 생산성 예측모델)

  • Lee, Min-Soo;Choe, Young-Chan
    • Journal of Agricultural Extension & Community Development
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    • v.16 no.4
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    • pp.939-965
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    • 2009
  • The Machine Learning has been identified as a promising approach to knowledge-based system development. This study aims to examine the ability of machine learning techniques for farmer's decision making and to develop the reference model for using pig farm data. We compared five machine learning techniques: logistic regression, decision tree, artificial neural network, k-nearest neighbor, and ensemble. All models are well performed to predict the sow's productivity in all parity, showing over 87.6% predictability. The model predictability of total litter size are highest at 91.3% in third parity and decreasing as parity increases. The ensemble is well performed to predict the sow's productivity. The neural network and logistic regression is excellent classifier for all parity. The decision tree and the k-nearest neighbor was not good classifier for all parity. Performance of models varies over models used, showing up to 104% difference in lift values. Artificial Neural network and ensemble models have resulted in highest lift values implying best performance among models.

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Simulation Modeling for Productivity Analysis of Concurrent Construction Method of External Insulation Finishing System in Apartment (공동주택용 외단열 적층시공 공법의 생산성 분석을 위한 시뮬레이션 모델 개발)

  • Kim, Min Ju;Kim, Taehoon;Lim, Hyunsu;Cho, Hunhee;Kang, Kyung-In
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2015.11a
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    • pp.68-69
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    • 2015
  • Traditional External Insulation Finishing System(EIFS) is applied to apartment construction by performing structural framework and insulation finishing work sequentially. Separate execution of the three works increases construction cost and duration. Concurrent construction method of EIFS, which performs framework and insulation finishing work simultaneously, is introduced in order to solve these problems. However, the introduced method is exposed to the risk of construction delay caused by bottlenecks due to interacting processes and resources. Therefore, this paper presents a simulation model suitable for estimating work productivity of the concurrent construction by considering predecessor and successor processes to optimize resource allocation and minimize construction delay.

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Die and mold technology of in-mold labeling in functional packaging (기능성 생활용기 인 몰드 라벨링 금형 성형 기술)

  • Kim, Yu-Jin;Jung, Gui-Jae;Gong, Sung-Ho;Shin, Jang-Soon;Yoon, Gil-Sang;Jung, Woo-Chul;Kim, Gun-Hee;Seo, Tae-Il
    • Design & Manufacturing
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    • v.2 no.6
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    • pp.17-22
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    • 2008
  • Recently, the demand of high-productivity injection mold increases since the consumption of packaging grows in the world. Stack mold is composed of more than two molds and it has very high productivity and economic efficiency. In advanced country, stack mold which has was developed already but, in occasion of domestic mold industry, there is no study of stack mold. In this study, die and mold of in-mold labeling was developed for securing the technique of manufacturing high-productivity mold.

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Development of stack mold for weather strip injection molding of vehicle (자동차용 웨더스트립의 성형을 위한 스택몰드 개발)

  • Han, Seong-Ryeol;Jun, Seung-Kyeong;Kim, Jun-Hyeong;Jung, Yeong-Deu
    • Design & Manufacturing
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    • v.2 no.1
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    • pp.51-56
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    • 2008
  • Recently, the demand of high-productivity injection mold increases since the consumption of packaging grows in the world. Stack mold is composed of more than two molds and it has very high productivity and economic efficiency. In this study, stack mold was developed to improve productivity of vehicle fixed weather strip with TPV materials and to investigate the characteristic of injection molding using CAE.

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Development of 2-level Stack Mold for Functional Packaging (기능성 용기 2-level 스택 금형 개발)

  • Shin J.S.;Hwang S.H.;Kim Y.J.;Jung K.J.;Heo Y.M.;Yoon G.S.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2006.05a
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    • pp.575-576
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    • 2006
  • Recently, the demand of high-productivity injection mold increases since the consumption of packaging grows in the world. Stack mold is composed of more than two molds and it has very high productivity and economic efficiency. In advanced country, stack mold which has $4Level{\times}96cavity$ was developed already but, in occasion of domestic mold industry, there is no study of stack mold. In this study, stack mold which has $2Level{\times}4cavity$ is developed for securing the technique of manufacturing high-productivity mold.

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Specialization, Firm Dynamics and Economic Growth

  • Cho, Jaehan;Ge, Zhizhuang
    • East Asian Economic Review
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    • v.23 no.2
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    • pp.169-202
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    • 2019
  • Productivity in agriculture or services has long been understood as playing an important role in the growth of manufacturing. In this paper we present a general equilibrium model in which manufacturing growth is stimulated by non-manufacturing sectors that provides goods used in both research and final consumption. The model permits the evaluation of two policy options for stimulating manufacturing growth: (1) a country imports more non-manufacturing goods from a foreign country with higher productivity and (2) a country increases productivity of domestic non-manufacturing. We find that both policies improve welfare of the economy, but depending on the policy the manufacturing sector responses differently. Specifically, employment and value-added in manufacturing increase with policy (1), but contract with policy (2). Therefore, specialization of the import non-manufactured goods helps explain why some Asian economies experience rapid growth in the manufacturing sector without progress in other sectors.

A Study on the Production Well Spacing Design Considering Coalbed Depth in Coalbed Methane Reservoirs (석탄층 메탄가스 저류층에서 탄층 심도를 고려한 생산정 간격 설계 연구)

  • Chayoung Song;Dongjin Lee;Jeonghwan Lee
    • Journal of the Korean Institute of Gas
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    • v.27 no.3
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    • pp.98-107
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    • 2023
  • This study presents a well spacing design for coalbed methane(CBM) reservoirs using the experimental results of methane gas adsorption measurement of coal samples obtained from North Kalimantan Island, Indonesia. The gas productivity analysis shows that the cumulative gas production increases as the Langmuir volume increases. This indicates that the maximum gas adsorption directly affects the gas production. In addition, the maximum gas production increases with the increase of reservoir permeability, and the dewatering period is shortened. In particular, the cumulative gas production increases as the production influence area increases. However, when comparing productivity per unit well, the maximum cumulative gas production is found between 2,000 ft of depth and 80-160 acres of the influence area. When reservoir depth and production influence area are considered simultaneously, the results of the appropriate well depth and spacing calculations show that gas productivity is highest between 600-2,000 ft. In this case, it is appropriate to design well spacing in the range of 80-160 acres. Therefore, well spacing design considering coalbed depth in undeveloped CBM reservoirs can be accomplished using gas sorption test results from coal samples.

The Evolution of Wage and Productivity Dispersion between Korean Manufacturing Establishments, 2000-14 (제조업 사업체 간 임금 및 생산성격차 추세와 그 관계에 대한 분석)

  • Lee, Changkeun
    • Journal of Labour Economics
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    • v.40 no.4
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    • pp.1-31
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    • 2017
  • Recent empirical studies highlight the importance of between-firm or between-establishment factors in rising wage inequality. Examining the establishment-level data from the Mining and Manufacturing Survey of 2000-14, this paper finds that overall between-establishment wage dispersion has increased in Korea. However, unlike other OECD countries, the divergence occured in the lower tail of the wage distribution. Dispersion in labor productivity exhibits a similar movement, therefore explains the widening wage dispersion. In contrast, the link between wages and total factor productivity is much weaker, which appears to be associated with inefficient capital reallocation. I also find much heterogeneity in the productivity-wage relationship across productivity distribution. The most productive establishments turn the smallest portion of productivity gains into wage increases.

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