108. An Adaptive Large Neighborhood Search Approach for the Integrated Patient-to-Room and Nurse-to-Patient Assignment Problem
Invited abstract in session TC-2: Integrated planning, stream Sessions.
Tuesday, 13:30-15:00Room: NTNU, Realfagbygget R8
Authors (first author is the speaker)
| 1. | Emily Lex
|
| Supply and Value Chain Management, Technical University Munich | |
| 2. | Fabian Schäfer
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| Supply and Value Chain Management, Technical University of Munich | |
| 3. | Alexander Hübner
|
| Supply and Value Chain Management, Technical University Munich |
Abstract
Optimizing patient-to-room and nurse-to-patient assignments is crucial for efficient hospital workflows, high-quality care, and patient and staff satisfaction. Integrating both assignment problems enables the optimization of additional objectives that depend on the interaction of the two assignment problems. For example, minimizing the walking distances of nurses or assigning the minimum number of nurses to patients in the same room to mitigate negative effects, such as the spread of infections between rooms by nurses or the disturbance of patients. For this recently proposed integrated problem formulation, we designed an Adaptive Large Neighborhood Search approach. For evaluation purposes, computational experiments are executed on both the available real-world and artificially generated instances. To evaluate the quality of the presented solution method, a comparison to the current best-known results is presented, underscoring the efficacy and superiority of the proposed solution method.
Keywords
- Integrated planning of health services
- Optimization algorithms
- Resource scheduling
Status: accepted
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