Clustering and Stochastic Simulation Optimization for Outpatient Chemotherapy Appointment Planning and Scheduling
<div><p>Outpatient Chemotherapy Appointment (OCA) planning and scheduling is a process of distributing appointments to available days and times to be handled by various resources through a multi-stage process. Proper OCAs planning and scheduling results in minimizing the length of stay o...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| مؤلفون آخرون: | , , , , , , |
| منشور في: |
2022
|
| الموضوعات: | |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
| _version_ | 1864513519703031808 |
|---|---|
| author | Majed Hadid (17148364) |
| author2 | Adel Elomri (8984063) Regina Padmanabhan (14231606) Laoucine Kerbache (17148370) Oualid Jouini (4496104) Abdelfatteh El Omri (18278683) Amir Nounou (18279007) Anas Hamad (9545771) |
| author2_role | author author author author author author author |
| author_facet | Majed Hadid (17148364) Adel Elomri (8984063) Regina Padmanabhan (14231606) Laoucine Kerbache (17148370) Oualid Jouini (4496104) Abdelfatteh El Omri (18278683) Amir Nounou (18279007) Anas Hamad (9545771) |
| author_role | author |
| dc.creator.none.fl_str_mv | Majed Hadid (17148364) Adel Elomri (8984063) Regina Padmanabhan (14231606) Laoucine Kerbache (17148370) Oualid Jouini (4496104) Abdelfatteh El Omri (18278683) Amir Nounou (18279007) Anas Hamad (9545771) |
| dc.date.none.fl_str_mv | 2022-11-23T03:00:00Z |
| dc.identifier.none.fl_str_mv | 10.3390/ijerph192315539 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Clustering_and_Stochastic_Simulation_Optimization_for_Outpatient_Chemotherapy_Appointment_Planning_and_Scheduling/25514053 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biomedical and clinical sciences Pharmacology and pharmaceutical sciences Health sciences Public health outpatient chemotherapy cancer oncology health care clustering stochastic simulation-based optimization multi objectives planning scheduling decision-making metaheuristics artificial intelligence |
| dc.title.none.fl_str_mv | Clustering and Stochastic Simulation Optimization for Outpatient Chemotherapy Appointment Planning and Scheduling |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <div><p>Outpatient Chemotherapy Appointment (OCA) planning and scheduling is a process of distributing appointments to available days and times to be handled by various resources through a multi-stage process. Proper OCAs planning and scheduling results in minimizing the length of stay of patients and staff overtime. The integrated consideration of the available capacity, resources planning, scheduling policy, drug preparation requirements, and resources-to-patients assignment can improve the Outpatient Chemotherapy Process’s (OCP’s) overall performance due to interdependencies. However, developing a comprehensive and stochastic decision support system in the OCP environment is complex. Thus, the multi-stages of OCP, stochastic durations, probability of uncertain events occurrence, patterns of patient arrivals, acuity levels of nurses, demand variety, and complex patient pathways are rarely addressed together. Therefore, this paper proposes a clustering and stochastic optimization methodology to handle the various challenges of OCA planning and scheduling. A Stochastic Discrete Simulation-Based Multi-Objective Optimization (SDSMO) model is developed and linked to clustering algorithms using an iterative sequential approach. The experimental results indicate the positive effect of clustering similar appointments on the performance measures and the computational time. The developed cluster-based stochastic optimization approaches showed superior performance compared with baseline and sequencing heuristics using data from a real Outpatient Chemotherapy Center (OCC).</p><p> </p></div><h2>Other Information</h2> <p> Published in: International Journal of Environmental Research and Public Health<br> License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/ijerph192315539" target="_blank">https://dx.doi.org/10.3390/ijerph192315539</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_2ba8f9a402b8c8b6a1dfd9159267f19b |
| identifier_str_mv | 10.3390/ijerph192315539 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/25514053 |
| publishDate | 2022 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Clustering and Stochastic Simulation Optimization for Outpatient Chemotherapy Appointment Planning and SchedulingMajed Hadid (17148364)Adel Elomri (8984063)Regina Padmanabhan (14231606)Laoucine Kerbache (17148370)Oualid Jouini (4496104)Abdelfatteh El Omri (18278683)Amir Nounou (18279007)Anas Hamad (9545771)Biomedical and clinical sciencesPharmacology and pharmaceutical sciencesHealth sciencesPublic healthoutpatient chemotherapycanceroncology health careclusteringstochastic simulation-based optimizationmulti objectivesplanningschedulingdecision-making metaheuristicsartificial intelligence<div><p>Outpatient Chemotherapy Appointment (OCA) planning and scheduling is a process of distributing appointments to available days and times to be handled by various resources through a multi-stage process. Proper OCAs planning and scheduling results in minimizing the length of stay of patients and staff overtime. The integrated consideration of the available capacity, resources planning, scheduling policy, drug preparation requirements, and resources-to-patients assignment can improve the Outpatient Chemotherapy Process’s (OCP’s) overall performance due to interdependencies. However, developing a comprehensive and stochastic decision support system in the OCP environment is complex. Thus, the multi-stages of OCP, stochastic durations, probability of uncertain events occurrence, patterns of patient arrivals, acuity levels of nurses, demand variety, and complex patient pathways are rarely addressed together. Therefore, this paper proposes a clustering and stochastic optimization methodology to handle the various challenges of OCA planning and scheduling. A Stochastic Discrete Simulation-Based Multi-Objective Optimization (SDSMO) model is developed and linked to clustering algorithms using an iterative sequential approach. The experimental results indicate the positive effect of clustering similar appointments on the performance measures and the computational time. The developed cluster-based stochastic optimization approaches showed superior performance compared with baseline and sequencing heuristics using data from a real Outpatient Chemotherapy Center (OCC).</p><p> </p></div><h2>Other Information</h2> <p> Published in: International Journal of Environmental Research and Public Health<br> License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/ijerph192315539" target="_blank">https://dx.doi.org/10.3390/ijerph192315539</a></p>2022-11-23T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.3390/ijerph192315539https://figshare.com/articles/journal_contribution/Clustering_and_Stochastic_Simulation_Optimization_for_Outpatient_Chemotherapy_Appointment_Planning_and_Scheduling/25514053CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/255140532022-11-23T03:00:00Z |
| spellingShingle | Clustering and Stochastic Simulation Optimization for Outpatient Chemotherapy Appointment Planning and Scheduling Majed Hadid (17148364) Biomedical and clinical sciences Pharmacology and pharmaceutical sciences Health sciences Public health outpatient chemotherapy cancer oncology health care clustering stochastic simulation-based optimization multi objectives planning scheduling decision-making metaheuristics artificial intelligence |
| status_str | publishedVersion |
| title | Clustering and Stochastic Simulation Optimization for Outpatient Chemotherapy Appointment Planning and Scheduling |
| title_full | Clustering and Stochastic Simulation Optimization for Outpatient Chemotherapy Appointment Planning and Scheduling |
| title_fullStr | Clustering and Stochastic Simulation Optimization for Outpatient Chemotherapy Appointment Planning and Scheduling |
| title_full_unstemmed | Clustering and Stochastic Simulation Optimization for Outpatient Chemotherapy Appointment Planning and Scheduling |
| title_short | Clustering and Stochastic Simulation Optimization for Outpatient Chemotherapy Appointment Planning and Scheduling |
| title_sort | Clustering and Stochastic Simulation Optimization for Outpatient Chemotherapy Appointment Planning and Scheduling |
| topic | Biomedical and clinical sciences Pharmacology and pharmaceutical sciences Health sciences Public health outpatient chemotherapy cancer oncology health care clustering stochastic simulation-based optimization multi objectives planning scheduling decision-making metaheuristics artificial intelligence |