首页|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)
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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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.”
San FranciscoCaliforniaUnited StatesNorth and Central AmericaIntelligent SystemsMachine LearningFuzzy LogicUniversity of San Francisco
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