Analyzing One-Step and Multi-Step Forecasting to Mitigate the Bullwhip Effect and Improve Supply Chain Performance

Analyzing One-Step and Multi-Step Forecasting to Mitigate the Bullwhip Effect and Improve Supply Chain Performance

This study presents the results of an investigation into effectiveness of one-step and multi-step (h-step-ahead) forecasting methods in mitigating the Bullwhip Effect and improving supply chain performance within an order-up-to-level inventory control system. the Bullwhip Effect, a phenomenon in whi...

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Bibliographic Details
Main Authors: Alper Saricioglu, Mujde Erol Genevois, Michele Cedolin
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Bullwhip effect (BWE)
supply chain performance
machine learning forecasting
long short-term memory (LSTM)
LightGBM
multi-step forecasting
Online Access:https://ieeexplore.ieee.org/document/10772207/
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https://ieeexplore.ieee.org/document/10772207/

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