Demand forecasting in supply chain: The impact of demand volatility in the presence of promotion

M Abolghasemi, E Beh, G Tarr, R Gerlach - Computers & Industrial …, 2020 - Elsevier
The demand for a particular product or service is typically associated with different
uncertainties that can make them volatile and challenging to predict. Demand …

Demand forecasting in the presence of systematic events: Cases in capturing sales promotions

M Abolghasemi, J Hurley, A Eshragh… - International Journal of …, 2020 - Elsevier
Reliable demand forecasts are critical for effective supply chain management. Several
endogenous and exogenous variables can influence the dynamics of demand, and hence a …

Demand forecasting with supply‐chain information and machine learning: Evidence in the pharmaceutical industry

X Zhu, A Ninh, H Zhao, Z Liu - Production and Operations …, 2021 - journals.sagepub.com
Accurate demand forecasting is critical for supply chain efficiency, especially for the
pharmaceutical (pharma) supply chain due to its unique characteristics. However, limited …

Demand forecasting for irregular demands in business aircraft spare parts supply chains by using artificial intelligence (AI)

KN Amirkolaii, A Baboli, MK Shahzad, R Tonadre - IFAC-PapersOnLine, 2017 - Elsevier
Demand forecast accuracy in the service supply chains eg spare parts is critical for customer
satisfaction and its financial performance. This is a typical logistic network which is affected …

A hybrid demand forecasting model for greater forecasting accuracy: the case of the pharmaceutical industry

R Siddiqui, M Azmat, S Ahmed… - Supply Chain Forum: An …, 2022 - Taylor & Francis
In the era of modern technology, the competitive paradigm among organisations is changing
at an unprecedented rate. New success measures are applied to the organisation's supply …

Machine learning demand forecasting and supply chain performance

J Feizabadi - International Journal of Logistics Research and …, 2022 - Taylor & Francis
In many supply chains, firms staged in upstream of the chain suffer from variance
amplification emanating from demand information distortion in a multi-stage supply chain …

Review and analysis of artificial intelligence methods for demand forecasting in supply chain management

MA Mediavilla, F Dietrich, D Palm - Procedia CIRP, 2022 - Elsevier
The proper selection of a demand forecasting method is directly linked to the success of
supply chain management (SCM). However, today's manufacturing companies are …

Demand forecasting with four-parameter exponential smoothing

LF Tratar, B Mojškerc, A Toman - International Journal of Production …, 2016 - Elsevier
Exponential smoothing methods are powerful tools for denoising time series, predicting
future demand and decreasing inventory costs. In this paper we develop a smoothing and …

The hybrid PROPHET-SVR approach for forecasting product time series demand with seasonality

L Guo, W Fang, Q Zhao, X Wang - Computers & Industrial Engineering, 2021 - Elsevier
Demand forecasting is the basic aspect of supply chain management. It has important
impacts on planning, capacity and inventory control decisions. Seasonality is a common …

Predictive analytics for demand forecasting–a comparison of SARIMA and LSTM in retail SCM

T Falatouri, F Darbanian, P Brandtner… - Procedia Computer …, 2022 - Elsevier
The application of predictive analytics (PA) in Supply Chain Management (SCM) has
received growing attention over the last years, especially in demand forecasting. The …