Robotics & Machine Learning Daily News2024,Issue(Jul.25) :24-24.

Researchers from University of San Francisco Report Recent Findings in Intellige nt Systems (A Novel Fuzzy Finite-horizon Economic Lot and Delivery Scheduling Mo del With Sequence-dependent Setups)

Robotics & Machine Learning Daily News2024,Issue(Jul.25) :24-24.

Researchers from University of San Francisco Report Recent Findings in Intellige nt Systems (A Novel Fuzzy Finite-horizon Economic Lot and Delivery Scheduling Mo del With Sequence-dependent Setups)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Data detailed on Machine Learning - Intelligent S ystems have been presented. According to newsreporting originating from San Fra ncisco, California, by NewsRx correspondents, research stated, “Thispaper addre sses the economic lot and delivery scheduling problem (ELDSP) within three-echel on supplychains, focusing on the complexities of demand uncertainty, limited sh elf-life of products, and sequencedependencyof setups. We develop a novel mixe d-integer non-linear programming (MINLP) model fora supply chain comprising one supplier, multiple manufacturers with flexible flow shop (FFS) productionsyste ms, and multiple retailers, all operating over a finite planning horizon.”

Key words

San Francisco/California/United States/North and Central America/Intelligent Systems/Machine Learning/Fuzzy Logic/University of San Francisco

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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