• Title/Summary/Keyword: Improvement efficiency

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A Study on the Effect of SMEs' ESG Management on Organizational Productivity Improvement (중소기업의 ESG 경영이 조직 생산성 향상에 미치는 영향에 관한 연구)

  • Hyun-Gyu Kang;Byoung-Ki Park
    • Industry Promotion Research
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    • v.8 no.2
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    • pp.29-36
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    • 2023
  • Summary This study summarizes the results of analyzing 410 questionnaires from October 15 to October 26, 2022 on the impact of ESG management of SMEs on organizational productivity improvement. First, all areas except for clarity of promotion, validity of content, efficiency of method, sub-areas of employee friendliness and productivity improvement, which are sub-areas of ESG management, labor welfare, job satisfaction, and employee "favorability, retention attitude" among organizational management. Since there is a correlation in , work efficiency can be maximized by appropriately adjusting sub-variables of ESG management. Second, it can help an organization prioritize for productivity improvement through the zodiac correlation. The causal analysis showed that clarity of promotion (β=.342) and validity of content (β=.276) had the most influence. Third, from ESG management. The correlation between clarity of promotion, validity of content, efficiency of method, friendliness of employees and organizational management showed a high correlation at .719, and causal analysis showed that efficiency of method (β=.455) and friendliness of employees (β= .217) was found to have an influence on organizational management, which indicates that personnel organization management is necessary to increase the efficiency of the method (β=.455). This study is meaningful in revealing the causal relationship between ESG management performance and productivity improvement in the middle.

A Simulation Sample Accumulation Method for Efficient Simulation-based Policy Improvement in Markov Decision Process (마르코프 결정 과정에서 시뮬레이션 기반 정책 개선의 효율성 향상을 위한 시뮬레이션 샘플 누적 방법 연구)

  • Huang, Xi-Lang;Choi, Seon Han
    • Journal of Korea Multimedia Society
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    • v.23 no.7
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    • pp.830-839
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    • 2020
  • As a popular mathematical framework for modeling decision making, Markov decision process (MDP) has been widely used to solve problem in many engineering fields. MDP consists of a set of discrete states, a finite set of actions, and rewards received after reaching a new state by taking action from the previous state. The objective of MDP is to find an optimal policy, that is, to find the best action to be taken in each state to maximize the expected discounted reward of policy (EDR). In practice, MDP is typically unknown, so simulation-based policy improvement (SBPI), which improves a given base policy sequentially by selecting the best action in each state depending on rewards observed via simulation, can be a practical way to find the optimal policy. However, the efficiency of SBPI is still a concern since many simulation samples are required to precisely estimate EDR for each action in each state. In this paper, we propose a method to select the best action accurately in each state using a small number of simulation samples, thereby improving the efficiency of SBPI. The proposed method accumulates the simulation samples observed in the previous states, so it is possible to precisely estimate EDR even with a small number of samples in the current state. The results of comparative experiments on the existing method demonstrate that the proposed method can improve the efficiency of SBPI.

Efficiency Analysis of Public Service Organizations Using Stochastic Frontier Analysis (확률변경분석을 이용한 공공서비스 조직의 효율성 분석)

  • Shin, Jong Seop;Kim, Hyun Jung
    • Journal of the Korean Operations Research and Management Science Society
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    • v.40 no.1
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    • pp.117-128
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    • 2015
  • An organization must restructure itself once it makes outsourcing decisions. Outsourcing is a strategy that a company adopts to direct internal efforts into strengthening its core business processes while contracting other companies for strategically less critical tasks thereby improving organizational production efficiency, and the strategy inevitably involves organizational restructuring. While public service organizations have increasingly embraced outsourcing as well, only a handful of studies analyze the change in efficiency from organizational restructuring. Therefore, this study uses Stochastic Frontier Analysis (SFA) to test whether efficiency improved in Korea Expressway Corporation's restructured branch offices. Korea Expressway Corporation evaluated and grouped its branches based on road extensions management, traffic volume, the number of snow days, road deterioration, and the number of junctions to differentially allocate its personnel and budget. The extent of efficiency improvement in each group was compared, and results show that inefficiency did not exist in any of the groups. The efficiency index among the three group categories was similar across the board; 9 offices in the A-group with its expanded personnel and budget had an efficiency index of 0.954, 12 offices in the B-group with unchanged personnel and budget conditions had an index of 0.950, and 12 offices in the C-group with reduced personnel and budget had an index of 0.937. SFA facilitates efficiency analyses because it does not require pre-restructuring data. This study is easy to apply in practice and empirically tests efficiency improvement in organizational restructuring based on data collected from all the branch offices in Korea Expressway Corporation.

Revolution of nuclear energy efficiency, economic complexity, air transportation and industrial improvement on environmental footprint cost: A novel dynamic simulation approach

  • Ali, Shahid;Jiang, Junfeng;Hassan, Syed Tauseef;Shah, Ashfaq Ahmad
    • Nuclear Engineering and Technology
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    • v.54 no.10
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    • pp.3682-3694
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    • 2022
  • The expansion of a country's ecological footprint generates resources for economic development. China's import bill and carbon footprint can be reduced by investing in green transportation and energy technologies. A sustainable environment depends on the cessation of climate change; the current study investigates nuclear energy efficiency, economic complexity, air transportation, and industrial improvement for reducing environmental footprint. Using data spanning the years 1983-2016, the dynamic autoregressive distributed lag simulation method has demonstrated the short- and long-term variability in the impact of regressors on the ecological footprint. The study findings revealed that economic complexity in China had been found to have a statistically significant impact on the country's ecological footprint. Moreover, the industrial improvement process is helpful for the ecological footprint in China. In the short term, air travel has a negative impact on the ecological footprint, but this effect diminishes over time. Additionally, energy innovation is negative and substantial both in the short and long run, thus demonstrating its positive role in reducing the ecological footprint. Policy implications can be extracted from a wide range of issues, including economic complexity, industrial improvement, air transportation, energy innovation, and ecological impact to achieve sustainable goals.

Binary and ternary gas mixtures of He-Ne-Xe for improvement of vacuum ultraviolet luminous efficiency in ac-PDPs.

  • Jung, Kyu-Bong;Lee, Jun-Ho;Park, Won-Bae;Jeon, Wook;Oh, Phil-Young;Cho, Guang-Sup;Uhm, Han-Sup;Choi, Eun-Ha
    • 한국정보디스플레이학회:학술대회논문집
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    • 2004.08a
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    • pp.522-524
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    • 2004
  • The improvement of luminance and luminous efficiency is the one of the most important part in AC-PDPs. To achieve high luminance and luminous efficiency, high VUV emission efficiency is needed. We measured the emission spectra of vacuum ultraviolet(VUV) rays in surface discharge AC-PDP with binary and ternary gas mixtures of Ne-Xe and He-Ne-Xe. The influence of He-Ne-Xe gas-mixture ratio on excited $Xe^{\ast}$ resonant atoms and $Xe_2$$^{\ast}$ dimers has been investigated. It is found that luminous efficiency of ternary gas mixture, He-Ne-Xe, is shown to be much higher than that of binary gas mixture of Ne-Xe.

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A Study on the Enhancement of Cooling Efficiency for the Cabinet of Automatic Controller in the Interior of Industrial Building (산업용 건축물 내 자동제어반의 냉각효율 향상에 관한 연구)

  • Kim, Soon-Ho;Park, Hyun-Jung
    • Journal of Power System Engineering
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    • v.17 no.6
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    • pp.79-87
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    • 2013
  • The improvement of cooling efficiency for the cabinet of automatic controller is the most efficient method of it's application. Therefore, this study has been analyzed and investigated the improvement of cooling efficiency and reduction of energy for the cabinet of automatic controller, respectively. So this study was conducted to enhancement of cooling efficiency for the cabinet of automatic controller by making a structure which produces difference of air pressures in the entrance tube of external air. And the structure has capacity of the pyrogen source (PTC elements) to make temperature range from $145^{\circ}C$ to $155^{\circ}C$. Consequently, temperatures of the upper, the lower in the interior of the cabinet of automatic controller and the exhaust part were revealed $28.57^{\circ}C$, $23.38^{\circ}C$and $36.14^{\circ}C$(average temperature of the exhaust part in case of existing method : $45^{\circ}C$) in target test of this study, respectively. It was found that the cabinet of the automatic controller has better cooling ability than the cabinet of automatic controller by using an existing method.

A Study on Improvement of Operation Efficiency of Magnetic Levitation Train Using Linear Induction Motor

  • Park, Sang Uk;Zun, Chan Yong;Park, Doh-Young;Lim, Jaewon;Mok, Hyung Soo
    • International Journal of Railway
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    • v.9 no.2
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    • pp.41-45
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    • 2016
  • In this paper, a study on the efficiency improvement of the magnetic levitation train using the LIM (Linear Induction Motor) was presented. The maglev train has the advantage of being environmentally friendly since much less noise and dust is produced. However, due to structural limitation, compared to a rotating induction motor, linear induction motor, the main propulsion engine of the maglev train has a relatively greater air gap and hence has the lower operation efficiency. In this paper, the relationship between the operating condition of the train and the slip frequency has been investigated to find out the optimum slip frequency that might improve the efficiency of the magnetic levitation train with linear induction motor. The slip frequency is variable during the operation by this relationship only within a range that does not affect the levitation system of the train. After that, the comparison of the efficiency between the conventional control method with the slip frequency fixed at 13.5[Hz] and the proposed method with the slip frequency variable from 9.5[Hz] to 6.5[Hz] has been conducted by simulation using Simplorer. Experiments of 19.5[ton] magnetic levitation trains owned by Korea Institute of Machinery and Materials were carried out to verify the simulation results.

Improvement of Battery Charging Efficiency of ESS for Wind Power Application Using DC-AC Hybrid Charging Pattern (직교류 합성 충전 패턴을 이용한 풍력 연계용 ESS의 배터리 충전 효율 향상)

  • Lee, Jong-Hak;Song, Seung-Ho
    • The Transactions of the Korean Institute of Power Electronics
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    • v.22 no.4
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    • pp.330-335
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    • 2017
  • Increased fossil fuel consumption causes global warming, environmental pollution, and abnormal climate change. Wind-generated power installation is proposed to solve this problem. Recently, the wind power plant construction case encourages the installation of the energy storage system (ESS) to improve the intermittency of wind power. The maximized ESS operation profits connected to wind power are not generated in the simplest operation pattern of charging at night and discharging at day. The battery charging efficiency improvement should be considered to get more profits. Thus, there is a possibility of increasing ESS operation profits by analyzing the battery AC and DC charging/discharging efficiency and the yearly average sealed maintenance free (SMP) in hours. In this paper, the battery impedance characteristic, AC and DC charging/discharging efficiency, and the yearly average SMP are analyzed. The operation scenario to improve the ESS battery charging efficiency connected to wind power is proposed and verified via simulation.

A Numerical Analysis on Pneumatic Fracturing for in-situ Remediation (비포화대 오염정화 설계를 위한 공압파쇄 모사 해석)

  • Kwon, Mi-Seon;Park, Eun-Gyu;Lee, Cheol-Hyo;Kim, Yong-Seong;Kim, Nam-Jin
    • Journal of Soil and Groundwater Environment
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    • v.15 no.6
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    • pp.53-63
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    • 2010
  • Pneumatic fracturing is an emerging tool to enhance the remediation efficiency of contaminated unsaturated zones by injecting high pressure air and inducing artificial fracture networks. Pneumatic fracturing is reported to be well suited for the cases where the contaminated unsaturated zone thickness is less than 5 m as many contaminated domestic sites in Korea. Nevertheless, there have been almost no studies carried out on the site-specific efficiency and the optimized design of pneumatic fracturing considering the unsaturated zone characteristics of Korea. In this study, we employ numerical simulations to compare the efficiency of pneumatic fracturing on the aspect of the site remediation and the porosity improvement at several hypothetic unsaturated zones composed of four typical soil types. According to the simulation results, it is found that the zone with fine grains soil such as clay and silt shows better efficiency than the zone composed of coarse grains in terms of air flow and porosity enhancements. The results imply that pneumatic fracturing may improve the efficiency of site reclamation by jointly or independently applied to the many contaminated sites in Korea.

Tradeoff between Energy-Efficiency and Spectral-Efficiency by Cooperative Rate Splitting

  • Yang, Chungang;Yue, Jian;Sheng, Min;Li, Jiandong
    • Journal of Communications and Networks
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    • v.16 no.2
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    • pp.121-129
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    • 2014
  • The trend of an increasing demand for a high-quality user experience, coupled with a shortage of radio resources, has necessitated more advanced wireless techniques to cooperatively achieve the required quality-of-experience enhancement. In this study, we investigate the critical problem of rate splitting in heterogeneous cellular networks, where concurrent transmission, for instance, the coordinated multipoint transmission and reception of LTE-A systems, shows promise for improvement of network-wide capacity and the user experience. Unlike most current studies, which only deal with spectral efficiency enhancement, we implement an optimal rate splitting strategy to improve both spectral efficiency and energy efficiency by exploring and exploiting cooperation diversity. First, we introduce the motivation for our proposed algorithm, and then employ the typical cooperative bargaining game to formulate the problem. Next, we derive the best response function by analyzing the dual problem of the defined primal problem. The existence and uniqueness of the proposed cooperative bargaining equilibrium are proved, and more importantly, a distributed algorithm is designed to approach the optimal unique solution under mild conditions. Finally, numerical results show a performance improvement for our proposed distributed cooperative rate splitting algorithm.