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Using ARIMA models in supply chain forecasting

Project: Research

Description

ARIMA is usually not used in supply chain for various reasons, including the complications in order definition and speed of estimation of its parameters. We propose an approach that overcomes the main limitations of ARIMA and allows using it for supply chain forecasting.

Layperson's description

Development of forecasting algorithms which will run quickly in practice.

Key findings

This research has led to the implementation of new features in the commercial Smoothie forecasting package.
StatusFinished
Effective start/end date13/07/16 → 1/09/20

Research outputs