Home Healthcare Staffing, Routing, and Scheduling Problem With Multiple Shifts and Emergency Considerations DOI Creative Commons
Abdalrahman Algendi, Sebastián Urrutia, Lars Magnus Hvattum

и другие.

Networks, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 4, 2024

ABSTRACT Effective planning of human resources is critical in designing an efficient home healthcare system. In this study, we present a novel staffing, routing, and scheduling problem inspired by real‐world application. The proposed addresses set patients, with varying daily visit requirements, being served caregivers different qualification levels over multi‐day multi‐shift horizon. aims to minimize the number extra shifts for caregivers, maximize allocation emergencies, sum route durations These objectives are optimized hierarchically while considering restrictions, including time windows, skill matching, synchronization, care continuity, labor regulations. To tackle problem, introduce mixed‐integer linear programming model. model then extended two sets valid inequalities incorporated enhance its tightness. Computational experiments conducted on 20 instances. results highlight efficiency extension increasing both instances that can be solved optimality which feasible solution found.

Язык: Английский

Optimal operational and carbon neutrality strategies for private hospitals: A multi-objective approach considering patient flow DOI
Haoran Li, Yiwei Wu, Baogui Xin

и другие.

Transportation Research Part E Logistics and Transportation Review, Год журнала: 2025, Номер 198, С. 104107 - 104107

Опубликована: Апрель 8, 2025

Язык: Английский

Процитировано

0

Towards Sustainable Healthcare: Exploring Factors Influencing Use of Mobile Applications for Medical Escort Services DOI Open Access
Fan Xu,

Jing Hu,

Duanduan Liu

и другие.

Sustainability, Год журнала: 2024, Номер 16(14), С. 6058 - 6058

Опубликована: Июль 16, 2024

The aging population is placing pressure on the healthcare system, and private sector innovating through digitalization. Mobile applications for medical escort services (MA-MES) could become a sustainable tool, assisting adult children in scheduling escorts to accompany their elderly parents appointments. This creates new collaborative methods service processes services. research applies Unified Theory of Acceptance Use Technology 2 (UTAUT 2) model identify intentions use MA-MES parents. Data were gathered from 350 individuals age group 20 59 years analyzed using structural equation modeling (SEM). findings indicated that performance expectancy (PE), effort (EE), social influence (SI), price value (PV), perceived trust (PT) significantly increased behavioral (BI). Perceived risk (PR) mediated relationship between PT BI, while moderated effects BI. Cohabitation with SI proposes unique predict It provides insights enabling managers carry out continuous innovation MA-MES.

Язык: Английский

Процитировано

2

A Hybrid Genetic Algorithm Approach based on Patient Classification to Optimize Home Health Care Scheduling and Routing DOI Open Access

Radhia Zaghdoud,

Olfa Ben Rhaiem, Marwa Amara

и другие.

Engineering Technology & Applied Science Research, Год журнала: 2024, Номер 14(4), С. 15099 - 15105

Опубликована: Авг. 2, 2024

This study aims to solve the multi-objective problem of home healthcare scheduling and routing. The former’s objectives are upgrade travel distance, workload balance, waiting time caregivers. A novel approach was proposed based on patient caregiver clustering with K-means++ algorithm in first step a hybrid genetic optimize global operation second step. solved regarding deterministic uncertain aspect. parameter investigated is number patients. numeric conducted prove performance recommended using Solomon Benchmark.

Язык: Английский

Процитировано

1

Home healthcare routing and scheduling: operations research approaches and contemporary challenges DOI
Malek Masmoudi, Jalel Euchi, Patrick Siarry

и другие.

Annals of Operations Research, Год журнала: 2024, Номер unknown

Опубликована: Сен. 4, 2024

Язык: Английский

Процитировано

0

Home Healthcare Staffing, Routing, and Scheduling Problem With Multiple Shifts and Emergency Considerations DOI Creative Commons
Abdalrahman Algendi, Sebastián Urrutia, Lars Magnus Hvattum

и другие.

Networks, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 4, 2024

ABSTRACT Effective planning of human resources is critical in designing an efficient home healthcare system. In this study, we present a novel staffing, routing, and scheduling problem inspired by real‐world application. The proposed addresses set patients, with varying daily visit requirements, being served caregivers different qualification levels over multi‐day multi‐shift horizon. aims to minimize the number extra shifts for caregivers, maximize allocation emergencies, sum route durations These objectives are optimized hierarchically while considering restrictions, including time windows, skill matching, synchronization, care continuity, labor regulations. To tackle problem, introduce mixed‐integer linear programming model. model then extended two sets valid inequalities incorporated enhance its tightness. Computational experiments conducted on 20 instances. results highlight efficiency extension increasing both instances that can be solved optimality which feasible solution found.

Язык: Английский

Процитировано

0