Neural Network Control of Perishable Inventory with Fixed Shelf Life Products and Fuzzy Order Refinement under Time-Varying Uncertain Demand

Many control algorithms have been applied to manage the flow of products in supply chains. However, in the era of thriving globalization, even a small disruption can be fatal for some companies. On the other hand, the rising environmental impact of a rapid industry is imposing limitations on energy...

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Bibliographic Details
Published in:	Energies
Main Authors:	Ewelina Chołodowicz, Przemysław Orłowski
Format:	Article
Language:	English
Published:	MDPI AG 2024-02-01
Subjects:	perishable inventory management sustainable control system artificial intelligence evolutionary computation uncertain demand robust optimization
Online Access:	https://www.mdpi.com/1996-1073/17/4/849

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