• Title/Summary/Keyword: work blunder system

Search Result 3, Processing Time 0.016 seconds

A Study on 5M Factor Evaluation about Work Blunder Preventive for Decreasing calamity (재해 감소를 위한 작업 실수 방지에 대한 5M 요인 평가 연구)

  • Yang, Kwang-Mo
    • Journal of the Korea Safety Management & Science
    • /
    • v.8 no.5
    • /
    • pp.85-97
    • /
    • 2006
  • If done under this circumstances, then labor force can work comfortably and safely without nervousness and tiresome. The productivity and quality can increase ultimately and even foreign labor, imbecile child, old-aged labor can participate in work, which can reduce shortage of labor source. Therefore, in this study, it would be researched how to manage work blunder system by domestic small and medium enterprises and would be examined work blunder system was developed to fully meet the worker satisfaction. Through this 5M factor evaluation system by AHP(Analytic Hierarchy Process) all analyzed.

A Case Study on Efficiency Worker blunder Preventive Management (효율적 작업자 실수 예방 관리 사례연구)

  • Ryu Byung-Woo
    • Journal of the Korea Safety Management & Science
    • /
    • v.8 no.1
    • /
    • pp.27-42
    • /
    • 2006
  • Considering in view of China's low price and Japan's high technology, the most important point is the quality of product. To increase the comparative power internationally all workingmen have to fulfill the responsibility to maximize the quality, and this is possible practiced under 'Zero Defect' spirit. To reduce the defect ratio to 'Zero' the workingmen have to recognize own fault, all the manufacturing process should be conducted under 'Fool Proof System', If done under this circumstances, then labor force can work comfortably and safely without nervousness and tiresome. The productivity and quality can increase ultimately and even foreign labor, imbecile child, old-aged labor can participate in work, which can reduce shortage of labor source. Therefore, in this study all defects in manufacturing process, it would be recognized the errors and mistakes caused by human.

Conditional Density based Statistical Prediction

  • J Rama Devi;K. Koteswara Rao;M Venkateswara Rao
    • International Journal of Computer Science & Network Security
    • /
    • v.23 no.6
    • /
    • pp.127-139
    • /
    • 2023
  • Numerous genuine issues, for example, financial exchange expectation, climate determining and so forth has inalienable arbitrariness related with them. Receiving a probabilistic system for forecast can oblige this dubious connection among past and future. Commonly the interest is in the contingent likelihood thickness of the arbitrary variable included. One methodology for expectation is with time arrangement and auto relapse models. In this work, liner expectation technique and approach for computation of forecast coefficient are given and likelihood of blunder for various assessors is determined. The current methods all need in some regard assessing a boundary of some accepted arrangement. In this way, an elective methodology is proposed. The elective methodology is to gauge the restrictive thickness of the irregular variable included. The methodology proposed in this theory includes assessing the (discretized) restrictive thickness utilizing a Markovian definition when two arbitrary factors are genuinely needy, knowing the estimation of one of them allows us to improve gauge of the estimation of the other one. The restrictive thickness is assessed as the proportion of the two dimensional joint thickness to the one-dimensional thickness of irregular variable at whatever point the later is positive. Markov models are utilized in the issues of settling on an arrangement of choices and issue that have an innate transience that comprises of an interaction that unfurls on schedule on schedule. In the nonstop time Markov chain models the time stretches between two successive changes may likewise be a ceaseless irregular variable. The Markovian methodology is especially basic and quick for practically all classes of classes of issues requiring the assessment of contingent densities.