14 citations · 46 across the 14 of their papers we have counts for
4 papers · 1 filter
Machine learning applications in time series hierarchical forecasting
Mahdi Abolghasemi, Rob J Hyndman, Garth Tarr +1
Hierarchical forecasting (HF) is needed in many situations in the supply chain (SC) because managers often need different levels of forecasts at different levels of SC to make a de…
Demand forecasting in supply chain: The impact of demand volatility in the presence of promotion
Mahdi Abolghasemi, Richard Gerlach, Garth Tarr +1
The demand for a particular product or service is typically associated with different uncertainties that can make them volatile and challenging to predict. Demand unpredictability…
Considering pricing and uncertainty in designing a reverse logistics network
Mohsen Zamani, Mahdi Abolghasemi, Seyed Mohammad Seyed Hosseini +1
Companies try to maximize their profits by recovering returned products of highly uncertain quality and quantity. In this paper, a reverse logistics network for an Original Equipme…
Demand Forecasting in the Presence of Systematic Events: Cases in Capturing Sales Promotions
Mahdi Abolghasemi, Ali Eshragh, Jason Hurley +1
Reliable demand forecasts are critical for the effective supply chain management. Several endogenous and exogenous variables can influence the dynamics of demand, and hence a singl…