• Title/Summary/Keyword: TPM activity Factor

Search Result 5, Processing Time 0.016 seconds

Impacts of the TPM Activity Factor on Corporate's Performances (TPM 활동요인이 기업성과에 미치는 영향)

  • Yeon, Keyong-Hwa
    • The Journal of the Korea Contents Association
    • /
    • v.12 no.1
    • /
    • pp.476-484
    • /
    • 2012
  • In this study, we performed an empirical study to decide whether the use of the TPM and TPM level of understanding of the parameters affect directly the TPM performances or not. In a TPM analysis of TPM activity factors, all factors directly affect the level of understanding. Especially individual improvement activities and autonomous activities are directly affect the performance, rather than depending on the degree of understanding of TPM to influence utilization and analyzed. In addition, training on the utilization and directly or indirectly to affect performance were analyzed. Companies take advantage of the TPM and TPM activities, the company's level of understanding of the factors and the TPM factors are closely dependent upon. Ongoing communication among TPM activities and the steady profits and sharing of comments on the risk based on the level of understanding of a TPM will be an important element in the company's performance.

The Study on the Utilization of TPM program Affecting the Productivity Increase (TPM 프로그램의 활동요인이 경영성과에 미치는 효과)

  • Oh, Yon-Woo;Lee, Kee-Chai
    • Proceedings of the Korean Operations and Management Science Society Conference
    • /
    • 2005.05a
    • /
    • pp.969-974
    • /
    • 2005
  • TPM program, which is a methodology for improving the management results through the management innovation activity of a company, has been widely introduced in the field of a service industry as well as a manufacturing industry. The main purpose of this study is to present the theoretical model by the relationship between active factors of TPM program and management results for a productivity increase, and to investigate the direct and indirect effects on the management of a company through a parametric study. A questionnaire survey of 300 companies that presently utilize the TPM program has been conducted. In order to verify the validity and the reliability of the contents of the questionnaire survey, a confirmatory factor analysis has been done. A frequency analysis has also been performed to examine the characteristics of the respondent. The factor analysis and the frequency analysis were done by using SAS Ver. 8.2, and the verification of a research model was done by using LISREL Ver. 8.52. The active factors of TPM in the research model consist of 'an independent preservation', 'an individual improvement', 'a planned reservation' and 'an education & training'. Among those active factors, the individual improvement and the education & training significantly influence on the facility efficiency and the organization and personnel management. The organization and personnel management has a greater influence on the management results. Therefore, the education and training for employes is most important for the improvement of the management results through TPM program, and the individual improvement activity is also important.

  • PDF

The Effect and Influencing Mechanism of TPM Factors to Performance

  • Park, Chae-Heung
    • Journal of Korean Society for Quality Management
    • /
    • v.30 no.4
    • /
    • pp.154-163
    • /
    • 2002
  • This study tries to analyze how TPM works in domestic manufacturing industry by estimating two-stage model. First stage tests the effects of five TPM-factor variables (TFV : (1) Small group activity & Autonomous maintenance, (2) Education & Training, (3) Planned maintenance, (4) improving effectiveness of each piece of facility (5) Safety & Environment) to two TPM-performance variables. Second stage tests how two TPVs affect the industry's productivity level. By combining these two stages, this study uses a model to explain how TPM, represented by TFVs, works to improve productivity via TPVs. Multivariate and univariate regression and correlation analyses were peformed. It is shown that five TFVs works in two different ways to improve the industry's productivity level. In the second stage, overall equipment effectiveness has relatively more significant effects to the productivity level.

Evaluation of Impact of Tobacco Smoke on Indoor Air Quality

  • Lee, Hak-Sung;Robert A. O'brien
    • Journal of Korean Society for Atmospheric Environment
    • /
    • v.9 no.E
    • /
    • pp.358-363
    • /
    • 1993
  • Total particulate mater (TPM), $NO_2$ and $NH_3$ were measured simultaneously in the smoking and non-smoking locations during an eleven month period from March 1986 to January 1987 at three sites in Chicago : Illinois Institute of Technology Cafeteria, Rush-Presbyterian St. Lukes Medical Center Cafeteria and a downtown office building. From this study, the mean concentrations of $NO_2$ and $NH_3$ were not significantly different between the smoking and non-smoking locations at any sampling site ; however, there was a statistical difference for TPM between the smoking and non-smoking locations. Activity factor was useful for describing the contribution from indoor source. The linear regression analysis was reasonable method for discriminating the individual contribution of source to determine the emission factor. The TPM emission factor determined from this technique was in good agreement with value from the literature.

  • PDF

Development of Financial Effect Measurement(FEM) Models for Quality Improvement and Innovation Activity (품질개선 및 혁신활동에서 재무성과 측정모형의 개발)

  • Choi, Sungwoon
    • Journal of the Korea Safety Management & Science
    • /
    • v.17 no.1
    • /
    • pp.337-348
    • /
    • 2015
  • This research introduces the Financial Effect Measurement (FEM) models which measures both the improvement and the innovation performance of Quality Control Circle (QCC) and activities of Six Sigma. Concepts and principle of Comprehensive Income Statement (CIS), Balanced Scorecard (BSC), Time-Driven Activity Based-Costing (TDABC) and Total Productive Maintenance (TPM) are applied in order to develop the 4 FEM models presented in this paper. First of all, FEM using CIS depicts the improvement effects of production capacity and yield using relationships between demand and supply, and line balancing efficiency between bottleneck process and non-bottleneck processes. Secondly, cause-and-effect relation of Key Performance Indicator (KPI) is used to present Critical Success Factor (CSF) effects for QC Story 15 steps of QCC and DMAIC (Define, Measure, Analyze, Improve, and Control) of Six Sigma. The next is FEM model for service management innovation activities that uses TDABC to calculate the time-driven effect for improving the indirect activities according to the cost object. Lastly, FEM model for TPM activities presents the interpretation of improvement effect model of TPM Capital Expenditure (CAPEX) and Operating Expenditure (OPEX) maintenance using profit, cash and Economic Added Value (EVA) as metrics of enterprise values. To better understand and further investigate FEMs, recent cases on National Quality Circle Contest are used to evaluate new financial effect measurement developed in this paper.