Journals / An International Journal of Optimization and Control: Theories & Applications (IJOCTA) / 2018 / Cilt: 8 - Sayı: 2

Dynamic scheduling with cancellations: an application to chemotherapy appointment booking

Pages
161–169
Publication Date
2022-10-11
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Our computational results reveal that the ADP techniqueoutperforms the myopic policy on majority of problem sets we generated.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:We study a dynamic scheduling problem that has the feature of due dates andtime windows.
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Key Findings & Data:Wecompare the performance of the ADP technique against the myopic policy underdiverse scenarios.
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Conclusion & Impact:Our computational results reveal that the ADP techniqueoutperforms the myopic policy on majority of problem sets we generated.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

We study a dynamic scheduling problem that has the feature of due dates andtime windows. This problem arises in chemotherapy scheduling where patientsfrom different types have specific target dates along with time windows forappointment. We consider cancellation of appointments. The problem is modeledas a Markov Decision Process (MDP) and approximately solved using adirect-search based approximate dynamic programming (ADP) technique. Wecompare the performance of the ADP technique against the myopic policy underdiverse scenarios. Our computational results reveal that the ADP techniqueoutperforms the myopic policy on majority of problem sets we generated.

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Cite This Article

GÖÇGÜN, Y. (2022). Dynamic scheduling with cancellations: an application to chemotherapy appointment booking. An International Journal of Optimization and Control: Theories & Applications (IJOCTA), Cilt: 8 - Sayı: 2, 161–169. https://ajindex.com/articles/440625

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