OPTIMIZATION OF FLOW SHOP SCHEDULING PROBLEMS - B, Dhanasakkaravarthi
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Optimization of flow shop scheduling problems focuses on improving the sequence in which tasks are processed in a manufacturing environment, where multiple machines perform operations on a set of jobs. The goal is to minimize completion time, reduce delays, and improve overall efficiency. Flow shop scheduling involves determining the best order of jobs to minimize factors like makespan (total time to complete all jobs), tardiness, and cost. Various optimization techniques, such as genetic algorithms, simulated annealing, and mathematical programming, are used to find near-optimal solutions to…mehr

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Produktbeschreibung
Optimization of flow shop scheduling problems focuses on improving the sequence in which tasks are processed in a manufacturing environment, where multiple machines perform operations on a set of jobs. The goal is to minimize completion time, reduce delays, and improve overall efficiency. Flow shop scheduling involves determining the best order of jobs to minimize factors like makespan (total time to complete all jobs), tardiness, and cost. Various optimization techniques, such as genetic algorithms, simulated annealing, and mathematical programming, are used to find near-optimal solutions to these complex scheduling challenges. The approach is critical in industries where timely processing and efficient machine utilization are key to performance.
Autorenporträt
Dr. B. Dhanasakkaravarthi is a faculty member of Mechanical engineering at Agni College of Technology, Chennai with 17 years of teaching experience. His expertise lies in scheduling and design, and he has contributed significantly to the academic field over his extensive career. Published 26 journals, 13 in Scopus, 4 web of science journals.