首页|Study Findings on Machine Learning Described by Researchers at Galatasaray Unive rsity (Analyzing One-Step and Multi-Step Forecasting to Mitigate the Bullwhip Ef fect and Improve Supply Chain Performance)
Study Findings on Machine Learning Described by Researchers at Galatasaray Unive rsity (Analyzing One-Step and Multi-Step Forecasting to Mitigate the Bullwhip Ef fect and Improve Supply Chain Performance)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in artific ial intelligence. According to news originatingfrom Galatasaray University by N ewsRx correspondents, research stated, “This study presents the resultsof an in vestigation into effectiveness of one-step and multi-step (h-step-ahead) forecas ting methodsin mitigating the Bullwhip Effect and improving supply chain perfor mance within an order-up-to-levelinventory control system. the Bullwhip Effect, a phenomenon in which small variations in consumerdemand cause increasingly la rger fluctuations upstream in the supply chain, presents significant challengesfor inventory management and cost control.”
Galatasaray UniversityCyborgsEmergin g TechnologiesMachine Learning
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