Shift scheduling with autonomous agents
Sara Mattia  1@  , Fabrizio Rossi  2, *@  , Stefano Smriglio  3@  
1 : Istituto di Analisi dei Sistemi ed Informatica "Antonio Ruberti", Consiglio Nazionale delle Ricerche  -  Website
2 : Department of Information Engineering, Computer Science and Mathematics University of L'Aquila  -  Website
Università degli Studi dell'Aquila, Via Vetoio, I-67100 L'Aquila -  Italy
3 : Department of Information Engineering, Computer Science and Mathematics University of L'Aquila  -  Website
Università degli Studi del'Aquila, Via Vetoio, I-67100 L'Aquila -  Italy
* : Corresponding author

Employees' work breaks can have a significant impact on the performance of production and service systems. Therefore, managers are interested in scheduling breaks so as to keep safe the level of service.
On the other hand, a rigid enforcement of breaks remarkably affects employees' well-being.
This conflict is getting harder and harder in large organizations. We propose a robust optimization model for shift scheduling, where employees are free to decide when to have breaks within the regulatory restrictions. Case studies in call center industries are documented, showing the trade off between industrial costs and employees' autonomy.



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