0% Complete
صفحه اصلی
/
یازدهمین كنفرانس بين المللی مهندسی صنايع و سيستم ها
A Multi-Objective Optimization Model for Nurse Scheduling in Home Health Care
نویسندگان :
Somayeh Harati Motlagh
1
Hamid Reza Yousefzadeh
2
1- دانشگاه ازاد اسلامی مشهد
2- دانشگاه پیام نور
کلمات کلیدی :
Mathematical programming،Multi-objective optimization،Home health care،Scheduling،Routing،Cost efficiency
چکیده :
In recent years, demographic changes such as population growth, an aging society, and rising chronic disease prevalence have substantially increased the demand for Home Health Care (HHC) services. Service providers face the challenge of developing efficient scheduling and planning strategies that simultaneously enhance patient care, improve nurses’ working conditions, and ensure cost efficiency. Patients often request visits at preferred times based on their medical requirements, while nurses have their own preferred time windows for service provision. The scheduling process must also consider various constraints, including contractual working hours, soft and hard time windows, and mandatory breaks for nurses. This study introduces a multi-objective optimization model aimed at minimizing total travel time and overtime for nurses, while maximizing satisfaction levels for both patients and nurses. The model integrates the preferences of both parties and includes provisions for mandatory breaks after a specified period of work. The model aims to assign qualified nurses to patients, optimize scheduling and routing, and deliver high-quality care. The effectiveness of the proposed model is evaluated using a set of randomly generated test instances, with solution time serving as the stopping criterion. The results offer valuable insights for HHC providers seeking to improve operational planning and meet key performance objectives.
لیست مقالات
لیست مقالات بایگانی شده
Extraction of the rules between the components of job anchors and job satisfaction of employees using rough theory set, case study: employees of food industry companies in Shahrood city.
Fatemeh Sohrabi - Reza Sheikh
A novel model for staff scheduling problem under COVID-19 pandemic considering social distancing constraints: a case study
Ali Seifi - Hossein Karimi - Javad Mortazavi - Hashem Vahdani
زمانبندی قرار ملاقات های رادیوتراپی برای بیماران سرطانی
مهناز نقش نیلچی - آرزو عتیقه چیان
بررسی تأثیر سبک رهبری و فناوری بر قابلیت نوآوری با نقش میانجی مدیریت دانشی
حسام محمدحسنی - فاطمه محمدحسنی
برنامهریزی و زمانبندی زنجیرهتامین دارویی با رویکرد اقتصاد چرخشی
فریما پورحسین دیگه سرا - سعید امامی - ابراهیم اسدی گنگرج
Enhanced Customer Churn Prediction in the Banking Sector Using Random Forest
Behzad Yaghoobi - Erfan Hassannayebi - Mohammad Hossein Shahmoradi
Deep Learning Models for Price Prediction in Travertine Stone Mines: A Comparison of LSTM, Transformer, and Hybrid Models
Haniye Moazeni - Amirhesam Kamalpour
Analyzing Customer Decision-Making in Indian E-Commerce: A Study Using Decision Tree and K-Nearest Neighbor
Kiana Amani - Reza Samizadeh - Mehdi Seifbarghy
مکانیابی هاب سلسلهمراتبی حلقوی چند وسیلهای ظرفیتدار تحت شرایط هزینه انتقال فازی
فاطمه تیموریان نامانلو - حسین نقابی
Neural network model of CO2 emissions for chickpea production under dry farming system in Ravansar county of Iran
Ashkan Nabavi-Pelesaraei
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.7.0