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Routing and appointment planning optimization for medication at home: A case study in Isala hospital

Zwier, P.J. (2021) Routing and appointment planning optimization for medication at home: A case study in Isala hospital.

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Abstract:Medication at home is novel and expanding service that hospitals offer to bring care closer to the patient. Nurses visit patients to administer parenteral medication at the patient’s home. Patients have a specific requirement of medication requiring a suitable nurse for visiting and the required frequency of admission should be respected. Furthermore, working hour restrictions are considered. Routing and scheduling optimization enables optimal usage of resources, avoiding high logistical cost. In this thesis, an novel ILP model is introduced to optimize the routes and schedules of nurses visiting the patients in medication at home services, where the total travel time over a schedule horizon is minimized. Two novel solution methods are proposed: a greedy algorithm, and large neighbourhood search algorithm. Real-life experiment data is derived from a large regional hospital in the Netherlands, including real-world travel times and medication data. Instances up to 90 visits over a one-week planning horizon are considered. Results show that the developed model is able to provide solutions that achieve up to 30% decrease in average travel time per visit compared to curent performance.
Item Type:Essay (Master)
Clients:
Isala Hospital, Zwolle
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:31 mathematics, 50 technical science in general, 83 economics, 85 business administration, organizational science
Programme:Industrial Engineering and Management MSc (60029)
Link to this item:https://purl.utwente.nl/essays/87815
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