A novel data-driven patient and medical waste queueing-inventory system under pandemic : a real-life case study
Mohammad Rahiminia, Sareh Shahrabifarahani, Mohammad Alipour-Vaezi, Amir Aghsami and Fariborz Jolai
| Year of publication: |
2025
|
|---|---|
| Authors: | Rahiminia, Mohammad ; Shahrabifarahani, Sareh ; Alipour-Vaezi, Mohammad ; Aghsami, Amir ; Jolai, Fariborz |
| Published in: |
International journal of production research. - London [u.a.] : Taylor & Francis, ISSN 1366-588X, ZDB-ID 1485085-0. - Vol. 63.2025, 2, p. 418-434
|
| Subject: | M/M/C queue | Disaster management | Healthcare optimization | Medical waste management | Machine learning | Künstliche Intelligenz | Artificial intelligence | Gesundheitsversorgung | Health care | Warteschlangentheorie | Queueing theory | Gesundheitswesen | Health care system | Krankenhaus | Hospital | Patienten | Patients | Abfallwirtschaft | Waste management | Abfallentsorgung | Waste disposal | Coronavirus |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/00207543.2023.2217939 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015197326