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IJSEA Archive (Volume 2, Issue 8)

International Journal of Science and Engineering Applications (IJSEA)  (Volume 2, Issue 8 - August 2013)

ANALYSIS OF PRODUCTION PERFORMANCE OF TAMILNADU NEWSPRINT AND PAPERS LTD – CASE STUDY

B. Vasumathi, A. Saradha, K. Venkatachalam

10.7753/IJSEA0208.1001




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    Keywords: Trend analysis; Linear Regression; Forecast Accuracy.

Abstract References BibText


        Every day, Tamilnadu Newsprint and Papers Ltd managers must make decisions about Production delivery without knowing what will happen in the future. Forecasts enable them to anticipate the future and plan, many forecasting methods are available to Tamilnadu Newsprint and Papers Ltd managers for planning, to estimate future demand or any other issues at hand. However, for any type of forecast to bring about later success, it must follow a step-by-step process comprising five major steps: 1) goal of the forecast and the identification of resources for conducting it; 2) time horizon; 3) selection of a forecasting technique; 4) conducting and completing the forecast; and 5) monitoring the accuracy of the forecast. Accordingly Linear Regression method is a widely used to predict this kind of demand. In this paper, we forecast the Production of Papers in TamilNadu Newsprint and Papers Ltd from the past 15 years of Production using the Linear Regression method.


[1] Brown R. G., 1959. Statistical forecasting for inventory control. New York: McGraw- Hill
[2] Brown R. G., 1962. Smoothing, forecasting and prediction of discrete time series.
[3] Annual Report, Tamilnadu Newsprint and papers Ltd
[4] CMIE, Center for Monitoring Indian Economy.
[5] International Journal of Production Economics, 71, 457-466.
[6] Syntetos A.A., Boylan J.E., 2005. The accuracy of intermittent demand estimates.
[7] International Journal of forecasting, 21, 303-314.


@article{vasumathi02081001,
title = "ANALYSIS OF PRODUCTION PERFORMANCE OF TAMILNADU NEWSPRINT AND PAPERS LTD – CASE STUDY. ",
journal = "International Journal of Science and Engineering Applications (IJSEA)",
volume = "2",
number = "8",
pages = "159 - 161",
year = "2013",
author = " B.Vasumathi, A.Saradha, K.Venkatachalam ",
}