This book discusses how analytics can handle uncertainty and fairness issues in scheduling chemotherapy treatments.  Specifically, the authors explore the complexities of chemotherapy scheduling, showing how analytics can be used to create fairer and more efficient chemotherapy schedules. By addressing uncertainty in infusion times and balancing the needs of both patient and staff, the book offers novel insights, practical models, and actionable solutions for healthcare professionals aiming to improve patient care in chemotherapy clinics.  Readers will gain a deep understanding of the...