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Scheduling a Proportionate Flow Shop of Batching Machines

  • Cutting-edge cancer therapy involves producing individualized medicine for many patients at the same time. Within this process, most steps can be completed for a certain number of patients simultaneously. Using these resources efficiently may significantly reduce waiting times for the patients and is therefore crucial for saving human lives. However, this involves solving a complex scheduling problem, which can mathematically be modeled as a proportionate flow shop of batching machines (PFB). In this thesis we investigate exact and approximate algorithms for tackling many variants of this problem. Related mathematical models have been studied before in the context of semiconductor manufacturing.

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Metadaten
Author:Christoph Hertrich
URN (permanent link):urn:nbn:de:hbz:386-kluedo-54968
Advisor:Sven O. Krumke, Heiner Ackermann, Sandy Heydrich, Christian Weiß
Document Type:Master's Thesis
Language of publication:English
Publication Date:2018/10/12
Year of Publication:2018
Publishing Institute:Technische Universität Kaiserslautern
Granting Institute:Technische Universität Kaiserslautern
Date of the Publication (Server):2019/02/06
Number of page:79
Faculties / Organisational entities:Fachbereich Mathematik
DDC-Cassification:5 Naturwissenschaften und Mathematik / 510 Mathematik
Licence (German):Creative Commons 4.0 - Namensnennung (CC BY 4.0)