Defects Prevention Forecasting Methodology

Authors

  • Giorgi Baghaturia International Black Sea University
  • Farzan Parand Credit Group Ltd, Tbilisi

DOI:

https://doi.org/10.31578/job.v2i1.46

Keywords:

defects prevention, early diagnostic, forecasting, quality, quality control system, rejected production, statistical control

Abstract

The new methodology for quality control system of manufacturing technological process, particularly the defects preventing forecasting  methodology is developed in the given paper. The methodology is based on statistical control methods.  But unlike a method of the controlcharts, the offered methodology provides early forecasting and diagnostic of emergence of defective products. On the base of available historicalinformation (data) the offered methodology uses different quantitative methods of forecasting as a continuation of control charts. Forecasting ofpossible consequences is carried out permanently that warns a deviation of control characteristics from admissible borders (limited area of qualitycharacteristics).Competent use of early diagnostics will repeatedly increase efficiency of statistical control of manufacturing technological process by avoidingitspreventive stop.Defects PreventionForecastingMethodcreatesabasis for successful development ofa business-company,improving its
financialand strategic objectives on the basis by minimization of rejected production and increasing the quality of the production. 

Author Biographies

Giorgi Baghaturia, International Black Sea University

 Assoc.Prof., Faculty of Business Management

Farzan Parand, Credit Group Ltd, Tbilisi

MBA, Director of Credit Group Ltd, Tbilisi

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