INVENTORY MANAGEMENT VIA MODEL PREDICTIVE CONTROL BASED ON DEMAND FORECAST CONSIDERING PRICE CHANGE BY PARTICLE FILTER

Inventory management via model predictive control based on demand forecast considering price change by particle filter

It is important to manage inventory adequately at a retail stores or wholesales.For this reason, we propose an inventory management method based on model predictive control.Model predictive control is an optimal operation method of dynamical systems and the process of stocks is able to be seen as a dynamical system.Therefore, by using model predict

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A review of research methods on the coupling relationship between urban rail transit and urban space: revealing spatiotemporal relationships through big data

ABSTRACTUrban rail transit (URT) systems play an evident role Puzzle in shaping city spatial structures; however, the principles and mechanisms behind this influence are not fully understood.This paper reviews research progress on the coupling relationship between URT and urban space, focusing on big data analysis methods and the timeliness and seq

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Features of Carbon Regulation in the Republic of Belarus and the Russian Federation: Comparative Analysis and Trends

The article reviews international acts in the field of combating climate change (United Nations Framework Convention on Climate Change, Kyoto Protocol and Paris Agreement), identifies the main trends in the field of carbon regulation: emissions quoting; implementation of climate projects; introduction of greenhouse gas reporting and expansion of th

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An integrated electronic health record-based workflow to improve management of colonoscopy-generated pathology results

Spencer D Dorn, Holly O Cirri, Audrey O Chang, Seth D Crockett, Joseph A Galanko, John A Baron Division of Gastroenterology and Hepatology, University of helmets North Carolina School of Medicine, Chapel Hill, NC, USA Purpose: Managing and communicating colonoscopy-generated pathology results and appropriate follow-up recommendations can be challen

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