A Digital Twin Framework for Flexible Job Scheduling Problems in Industry 5.0
Madani Bezoui, Ilhem Slama  1  , Samir Ouchani, Taha Arbaoui  2@  , Faicel Hnaien  3@  
1 : Laboratoire des Systèmes Electriques - LSE (Tunis, Tunisie)
2 : Université de Technologie de Troyes  (UTT)
Université de Technologie de Troyes
12 rue Marie CurieCS 4206010004 TROYES CEDEX -  France
3 : Laboratoire d'Optimisation des Systèmes Industriels  (LOSI)
Université de Technologie de Troyes
UTT, Université de Technologie de Troyes, Institut Charles Delaunay, 12 rue Marie Curie CS 42060 10004 TROYES Cedex -  France

We present a digital twin model for monitoring and simulating NP-hard problems such as flexible job-shop scheduling in order to put human issues at the center of industry challenges.
Different criteria and variables can be considered in such a solution, including the working environment, standard, and behavior of the operators, as well as security and safety.
 In addition, the solution develops different objective functions for optimizing numerous variables, so that decisions can be made promptly and effectively.Flexible Scheduling Jobshop problem; Job-Rotation; Ergonomy; Industry 5.0


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