Prediction and Judgmental Adjustments of Supply-Chain Planning in Festive Season

Authors

  • Megha Chhabra

  • Deepti Sahu

  • Gunjan Agarwal

Keywords:

supply-chain planning, shipment load, forecasting

Abstract

For a robust performance Shipping costs planning in festive seasons is given the input data as free from trends season-of-year effects etc Seasonal forecasting for supplychain planning with past few years of similar data impact shipping costs Additionally during a festive season of the year unbiased and accurate prediction of shipment load plays a major role in bringing up sales Time-series forecasting methods can be useful to remove traditional fluctuations due to gap in months-of-year of festivals We describe exponential smoothing techniques and trend fitting methods and compare the predictive accuracy The accuracy is compared using rootmean square error and median absolute deviation The exponential smoothing shows changing behavior with increased data size and data item values The data is compared with and without tuning the seasonal effects due to festive season

How to Cite

Megha Chhabra, Deepti Sahu, & Gunjan Agarwal. (2017). Prediction and Judgmental Adjustments of Supply-Chain Planning in Festive Season. Global Journal of Computer Science and Technology, 17(G3), 23–31. Retrieved from https://computerresearch.org/index.php/computer/article/view/1635

Prediction and Judgmental Adjustments of Supply-Chain Planning in Festive Season

Published

2017-10-15