ArticleScientific reports2025
A novel dynamic scheduling model for application in multimode approach.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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4 authors.
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Abstract
This study addresses job scheduling problem in multimode systems. A multimode system is designed to perform flexibly and reliably under normal and degraded modes in highly volatile environments. A novel job dynamic scheduling optimization model is proposed to enhance the multimode system resiliency and robustness to unexpected events. The formulated optimization problem is expressed as a MILP aimed at minimizing the makespan, subject to constraints reflecting the characteristics of multimode behavior. Quantitative data were gathered through requirement documents inspired from real-life scenarios. They comprise several elements related to processing times, jobs, operations, machines employed, and RUL prediction. Various experiments are conducted to demonstrate the validity and the accuracy of the proposed approach.
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