Title :

Home chemotherapy delivery: An integrated production scheduling and multi-trip vehicle routing problem

Author(s) :

Arda, Yasemin [Auteur]
Centre for Quantitative methods and Operations Management [QuantOM]
Cattaruzza, Diego [Auteur]
Integrated Optimization with Complex Structure [INOCS]
François, Véronique [Auteur]
Centre for Quantitative methods and Operations Management [QuantOM]
Ogier, Maxime [Auteur]
Integrated Optimization with Complex Structure [INOCS]

Journal title :

European Journal of Operational Research

Publisher :

Elsevier

Publication date :

2024-03

ISSN :

0377-2217

English keyword(s) :

OR in health services
Production scheduling and vehicle routing problem
Multi-trip vehicle routing
Large neighborhood search
Chemotherapy planning

HAL domain(s) :

Informatique [cs]

English abstract : [en]

Home chemotherapy systems allow the administration of cancer treatments at a patient’s residence, avoiding an admission to inpatient care facilities. This innovative health care model is interesting both economically and ...
Show more >Home chemotherapy systems allow the administration of cancer treatments at a patient’s residence, avoiding an admission to inpatient care facilities. This innovative health care model is interesting both economically and on a human level. It also raises several logistical challenges. This paper focuses on one of the optimization problems arising in the context of home chemotherapy services, where a complex scheduling problem underlies the operational planning process. Indeed, some injectable chemotherapy drugs may remain stable only during a few hours after being produced. Consequently, their production has to be carefully scheduled jointly with their administration, which takes place at the patients homes duringa predefined time window. This gives rise to an integrated production scheduling and vehicle routing problem, that we address using a large neighborhood search approach. Production and administration sequences are iteratively modified, while a linear program is used to determine optimal production and administration start times for the candidate sequences. We analyze the impact of the linear program and establish that it is a crucial component of the proposed method. We assess the performance of the proposed method by comparing its solutions with those obtained through a compact mathematical formulation. We then provide insights about the cost of taking into consideration time-related aspects of the problem, i.e., integrated planning horizons, drug stability times, and administration time windows.Show less >

Language :

Anglais

Popular science :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL