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Article

FORECASTING AND INVENTORY PERFORMANCE IN DIRECT-STORE DELIVERY SUPPLY CHAIN: CASE OF RETAILER IN SERBIA

DOI: 10.7708/ijtte.2015.5(1).02


5 / 1 / 9-16 Pages

Author(s)

Milan Dobrota - University of Belgrade, Faculty of Organizational Sciences, Jove Ilića 154, 11000 Belgrade, Serbia -

Mirko Vujošević - University of Belgrade, Faculty of Organizational Sciences, Jove Ilića 154, 11000 Belgrade, Serbia -


Abstract

This paper presents research conducted on the case of food retailer in Serbia in order to answer at which level are the forecasting techniques applicable to such companies, at given supply chain model and in given environment. We will validate the usability of Trend-Seasonality-Corrected Exponential Smoothing (Winter’s Model) as a model that can improve inventory management in such case.


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Keywords:
forecasting; supply chain; inventory performance;


References:

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Khashei, M.; Bijari, M. 2012. A new class of hybrid models for time series forecasting, Expert Systems with Applications. DOI: http://dx.doi.org/10.1016/j.eswa.2011.09.157, 39(4): 4344-4357.

 

Kuremoto, T.; Kimura, S.; Kobayashi, K.; Obayashi, M. 2014. Time series forecasting using a deep belief network with restricted Boltzmann machines, Neurocomputing. DOI: http://dx.doi.org/10.1016/j.neucom.2013.03.047, 137: 47-56.

 

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