A novel dynamic scheduling model for application in multimode approach

• Published in: Scientific reports Vol. 15; no. 1; pp. 27980 - 26
• Main Authors: Elqabli, Zineb, Kamach, Oulaid, Khatab, Abdelhakim, Chater, Youness
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 31.07.2025; Nature Publishing Group; Nature Portfolio
• Subjects: 639/705/1041; 639/705/117; Artificial intelligence; Digital twins; Dynamic scheduling; Genetic algorithms; Humanities and Social Sciences; Job shops; Literature reviews; Makespan; Manufacturing; Methods; Modelling; multidisciplinary; Multimode approach; Optimization; Planning; Scheduling; Science; Science (multidisciplinary); Simulation; Value chain; Dynamic scheduling; Makespan; Modelling; Optimization; Multimode approach

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...