Abstract: Distributed hybrid flow shop scheduling is prevalent in industries such as integrated circuit manufacturing, ceramic frit production, glass fiber processing, and steelmaking. Machine ...

Abstract: As artificial intelligence is widely used for solving complex engineering optimization problems, various deep learning (DL) and reinforcement learning (RL) methods have been developed for ...

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Given a list of jobs and machines, each job consists of a sequence of operations that must be processed in a specific order. The goal is to schedule these operations to minimize the makespan (total ...

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Finding a dentist should be a straightforward decision. In practice, it often becomes a delayed task—especially for w ...

Ohio State, Michigan, Penn State, Indiana, Oregon and USC are all more likely to compile championship rosters than UW in a ...

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At MD&M West 2026, Critical Manufacturing showcases a platform that converges MES, analytics and AI to power data-driven ...

As artificial intelligence moves from hype to practical deployment, trucking fleets are beginning to use AI-driven ...

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