• Title/Summary/Keyword: Process Performance Measurement

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Using Balanced Scorecard to Explore Learning Performance of Enterprise Organization

  • Chiu, Chung-Ching;Tsai, Chih-Hung;Chung, Yi-Chan
    • International Journal of Quality Innovation
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    • 제8권1호
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    • pp.40-75
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    • 2007
  • In the early industrial age which with high intensity of machine and labor, using financial measurement index was good enough to tie in company's mechanization and philosophy of management and been in efficiency. But being comply with "New Economic age," a new economic environment is full of knowledge and information, the enterprise competition had changed from tangible assets, plants to intangible innovation ability of knowledge. As recognizing the new tendency by enterprise, they value gradually the growth and influence from learning. Practice of organization learning not only needs firm structure and be in coordination with both hardware and software, but also needs an affect measurement model to offer enterprise to estimate learning performance. It's a good instrument of financial performance measure mold in the past years, But it's for measuring the past, couldn't formulate enterprise trend to future, hard to estimate investment for future, such as development of products, organization learning, knowledge management etc, as which intangible assets and knowledge ability just the key factors of being win around competition environment in the future. In 1992, Kaplan and Norton brought up Balance Scorecard (BSC) on Harvard Business Review, as an instrument helping enterprise to measure performance, which is being considered to be a most influence management instrument. It added non-financial index such as customer, internal process and learning growth besides traditional financial index, as offering enterprise an index to measure and manage intangible assets and intellectual property. As being aware of organization learning is hard to be ignored in the new economic age, this research is based on learning and growth of BSC, and citing one national material company try to let the most difficult measurement performance of organization learning, to be estimate through BSC, analyze of factor and individual case, to discuss the company how to make the related strategy and vision of organization learning to develop learning and growth of the structure of BSC, subject the matter of out put factors to be discussed, and measure the outcomes as a result of research. The research affect offers (1) the base implement procedure of carrying out BSC; (2) the reference of formulating measurement index while enterprise using BSC to estimate performance of organization learning; (3) the possibility bottleneck maybe forcing while carrying out BSC, to be an improvement or preventive for enterprise.

Analysis about Korean Enterprise through China Excellence Performance Model and Comparison with China Enterprise

  • Ree, Sang-Bok;Ma, Yizhong
    • International Journal of Quality Innovation
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    • 제10권2호
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    • pp.77-96
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    • 2009
  • Industry competition environment is not being meaning of internal and external distinction. This may be phenomenon of globalization progress. In this time, we wish to examine present level in our enterprise and also analyze cause relation between 7 category of China Excellence Performance model which is modified Malcolm Baldridge Model and compare with China enterprise by using the same questionnaire with China. It is right opportunity to obtain information by comparing China enterprise with the Korea. This questionnaire composition and contents used as it is questionnaire contents that enforce in 2007 in China CAQ. The survey on Korea enterprises' is 509 by KSA in 2008, China is surveyed 1679 by CAQ in 2007. In Korea 'leadership', 'strategy planning', 'customer and market', 'measurement, analysis and improvement' 'resources management' and 'process management' stronger than China, but in China 'performance results' is stronger than Korea.

A Study on the Adoption Factors and Performance Effects of Mobile Sales Force Automation Systems (모바일 SFA(mSFA) 시스템의 수용 요인 및 도입 성과에 관한 연구)

  • Kim, Dong-Hyun;Lee, Sun-Ro
    • Korean Management Science Review
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    • 제24권1호
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    • pp.127-145
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    • 2007
  • This study attempts to examine the acceptance factors of mSFA systems based on the innovation diffusion and technology acceptance model, and to measure the performance effects of mSFA systems using BSC metrics. Results show that (1) the characteristics of mobility and interactivity have positive impacts on perceived usefulness, ease of use, and professional fit. But the characteristics of personal identity were not perceived as useful due to users' negative feelings about privacy infringement and surveillance. (2) Job fit has positive impacts on perceived usefulness and professional fit. (3) Perceived usefulness, ease of use, and professional fit positively influence the degree of users' dependence on mSFA systems, which have positive impacts on users' performance measured by the personal BSC metrics including perspectives of finance, customer, internal process, and learning and growth.

A Study on Performance Measurement Indicators of Nursing Department in a Hospital (병원 간호조직 성과관리지표 개발에 관한 연구)

  • Kang, Kyeong-Hwa;Han, Yong-Hee
    • Journal of Korean Academy of Nursing Administration
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    • 제15권1호
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    • pp.106-115
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    • 2009
  • Purpose: The purpose of this study was to investigate the contribution score of nursing organizational level for Performance Management Indicators (PMIs) in the nursing department in a hospital. Methods: The process consisted of three stages. Stage I: The strategies based on 4 perspectives of Balanced Scorecard (BSC) were identified by BSC committee in the hospital nursing department. Stage II : PMIs according to the strategies were developed. Stage III : The contribution score according to nursing organizational level (nursing department, nursing unit, nurse) for PMIs were surveyed by questionnaire. Data was analyzed using descriptive statics and ANOVA test. Results: Eight strategies were defined according to 4 perspectives of BSC. Eighteen PMIs were determined according to the strategies. The nurse considered the contribution of nursing department most highly on the 13 among 18 PMIs. Conclusion: This study provided basic data for further study to identify the subject of responsibility on the strategic management of performance.

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An Improved Hybrid Kalman Filter Design for Aircraft Engine based on a Velocity-Based LPV Framework

  • Liu, Xiaofeng
    • International Journal of Aeronautical and Space Sciences
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    • 제18권3호
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    • pp.535-544
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    • 2017
  • In-flight aircraft engine performance estimation is one of the key techniques for advanced intelligent engine control and in-flight fault detection, isolation and accommodation. This paper detailed the current performance degradation estimation methods, and an improved hybrid Kalman filter via velocity-based LPV (VLPV) framework for these needs is proposed in this paper. Composed of a nonlinear on-board model (NOBM) and VLPV, the filter shows a hybrid architecture. The outputs of NOBM are used for the baseline of the VLPV Kalman filter, while the system performance degradation factors on-line estimated by the measured real system output deviations are fed back to the NOBM for its updating. In addition, the setting of the process and measurement noise covariance matrices' values are also discussed. By applying it to a commercial turbofan engine, simulation results show the efficiency.

Robust Kalman Filter Design via Selecting Performance Indices (성능지표 선정을 통한 강인한 칼만필터 설계)

  • Jung Jongchul;Huh Kunsoo
    • Transactions of the Korean Society of Mechanical Engineers A
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    • 제29권1호
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    • pp.59-66
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    • 2005
  • In this paper, a robust stationary Kalman filter is designed by minimizing selected performance indices so that it is less sensitive to uncertainties. The uncertainties include not only stochastic factors such as process noise and measurement noise, but also deterministic factors such as unknown initial estimation error, modeling error and sensing bias. To reduce the effect on the uncertainties, three performance indices that should be minimized are selected based on the quantitative error analysis to both the deterministic and the stochastic uncertainties. The selected indices are the size of the observer gain, the condition number of the observer matrix, and the estimation error variance. The observer gain is obtained by optimally solving the multi-objectives optimization problem that minimizes the indices. The robustness of the proposed filter is demonstrated through the comparison with the standard Kalman filter.

Measuring Performance to Engage the Extended Project Team in Construction

  • Bal, Menoka;Bryde, David
    • Journal of Construction Engineering and Project Management
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    • 제5권1호
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    • pp.1-10
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    • 2015
  • In construction, stakeholders of extended project team play a key role in the overall project performance. Successful integration of stakeholders demands for good management practices at strategic, operational and project levels. Targets and measures to improve the stakeholder performance encourage the creativity and willingness of stakeholders of extended project team to develop the better ways to achieve the project objectives. This paper presents a generic descriptive method, showing how stakeholder's ability and influence impacts on project performance in the construction sector. The findings of a series of interviews with key informants are presented and the following main conclusion is drawn: improving project performance through stakeholder's contribution and measuring their performance can strengthen the project performance. This innovative approach which redefines the process of improving the project performance in construction projects will be of interest to those who intend to manage the projects in practice as well as to those who interested in advancing theory.

Improving Phoneme Recognition based on Gaussian Model using Bhattacharyya Distance Measurement Method (바타챠랴 거리 측정 기법을 사용한 가우시안 모델 기반 음소 인식 향상)

  • Oh, Sang-Yeob
    • Journal of Korea Multimedia Society
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    • 제14권1호
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    • pp.85-93
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    • 2011
  • Previous existing vocabulary recognition programs calculate general vector values from a database, so they can not process phonemes that form during a search. And because they can not create a model for phoneme data, the accuracy of the Gaussian model can not secure. Therefore, in this paper, we recommend use of the Bhattacharyya distance measurement method based on the features of the phoneme-thus allowing us to improve the recognition rate by picking up accurate phonemes and minimizing recognition of similar and erroneous phonemes. We test the Gaussian model optimization through share continuous probability distribution, and we confirm the heighten recognition rate. The Bhattacharyya distance measurement method suggest in this paper reflect an average 1.9% improvement in performance compare to previous methods, and it has average 2.9% improvement based on reliability in recognition rate.

Parallel Processing Techniques to Determine State Vectors of a Power System using PMU (동기페이저측정기를 활용한 전력계통 상태벡터 결정을 위한 병렬처리기법)

  • Lee, Ki-Song;Lee, Chan-Ju;Cho, Ki-Seon;Shin, Joong-Rin
    • Proceedings of the KIEE Conference
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    • 대한전기학회 2000년도 하계학술대회 논문집 A
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    • pp.72-74
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    • 2000
  • This paper presents the linear model of the measurement system with Phasor Measurement Units (PMU's) and the parallel processing technique to determinate state vectors of a power system. The conventional model of the PMU measurement system is in a dilemma that it is not applicable to optimal PMU placements and it needs more PMU to apply this model. In order to improve this defect, in this paper, the extended linear model which adaptable to optimal PMU placements considering the feature of zero injection bus is proposed. Because the proposed model is expressed as over-determined measurement equation, the efficient algorithm is needed. This paper proposed the partitioning scheme and the process algorithm for parallel determinating state vectors of a power system efficiently. The performance of the proposed linear model and the parallel processing algorithm is evaluated with IEEE sample systems.

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Dispersion measurement technique based on a self-seeding laser oscillation of a Fabry-Perot laser (Fabry-Perot 레이저의 자기궤환 레이저 발진을 이용한 색분산 측정법)

  • 윤기홍;송재원;김현덕
    • Korean Journal of Optics and Photonics
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    • 제15권2호
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    • pp.104-108
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    • 2004
  • A simple dispersion measurement technique has been demonstrated by using a self-seeding laser oscillation of a Fabry-Perot laser through a closed loop. The optical pulses of different wavelengths emitted from the Fabry-Perot laser travel down an optical fiber and the group velocity difference between the pulses due to the chromatic dispersion of the optical fiber is measured through the self-seeding laser oscillation process. The dispersion parameter of the optical fiber is calculated from the measured group velocity difference. The performance of the proposed technique has been confirmed experimentally and the accuracy of dispersion parameter measurement was comparable to that of commercial instruments with expensive equipment and components. The repeatability of the proposed method was better than 0.5%.