Chemotherapy Appointment Scheduling

Addressing Uncertainty and Fairness

,

Éditeur :

Springer

Paru le : 2026-02-03

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 ad...
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Éditeur

Collection
n.c

Parution
2026-02-03

Pages
71 pages

EAN papier
9783032115515

Auteur(s) du livre


Serhat Gul, Ph.D., is an Associate Professor in the Department of Industrial University at TED University.  He completed his Ph.D. and M.Sc. in Industrial Engineering at Arizona State University in 2010 and 2007, respectively, and earned his B.Sc. in Industrial Engineering from Sabanci University in 2006. He has been a faculty member at TED University in Ankara, Turkey, since 2014. In 2023-2024, he served as a visiting assistant professor at the Isenberg School of Management, University of Massachusetts Amherst. Dr. Gül's primary research interests lie in stochastic optimization and its applications to healthcare delivery systems. Özlem Karsu, Ph.D., is an Associate Professor in the Department of Industrial Engineering at Bilkent University and a visiting scholar at the Technical University of Munich for the 2025–2026 academic year. She received her B.S and M.S. degrees from the Industrial Engineering Department of the Middle East Technical University, in 2008 and 2010, respectively. She received her Ph.D. degree in Operational Research from the London School of Economics in 2014.  Dr. Karsu’s research lies in the domains of inequity-averse optimization and multicriteria decision making. She aims to help decision makers to address equity (fairness) concerns through operations research tools.

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EAN PDF
9783032115522
Prix
58,01 €
Nombre pages copiables
0
Nombre pages imprimables
7
Taille du fichier
2642 Ko
EAN EPUB
9783032115522
Prix
58,01 €
Nombre pages copiables
0
Nombre pages imprimables
7
Taille du fichier
3123 Ko

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