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

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

Megha Chhabra

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Deepti Sahu

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Gunjan Agarwal

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1 Sharda University

GJCST Volume 17 Issue G3

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

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 supply-chain 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 root-mean 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.

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No external funding was declared for this work.

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The authors declare no conflict of interest.

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Megha Chhabra. 2018. \u201cPrediction and Judgmental Adjustments of Supply-Chain Planning in Festive Season\u201d. Global Journal of Computer Science and Technology - G: Interdisciplinary GJCST-G Volume 17 (GJCST Volume 17 Issue G3): .

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GJCST Volume 17 Issue G3
Pg. 23- 31

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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GJCST-G Classification: D.4.8

Submission ReceivedDecember 14, 2016
RevisedDecember 14, 2016
Peer Review Double Blind
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Accepted January 1, 2017
Published January 15, 2017

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January 22, 2018

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English

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Total Score: 103

Country: India

Subject: Global Journal of Computer Science and Technology - G: Interdisciplinary

Authors: Megha Chhabra, Deepti Sahu, Gunjan Agarwal (PhD/Dr. count: 0)

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