A Bi-Objective Home Health Care Routing and Scheduling Model with Considering Nurse Downgrading Costs

被引:17
作者
Khodabandeh, Pouria [1 ]
Kayvanfar, Vahid [1 ]
Rafiee, Majid [1 ]
Werner, Frank [2 ]
机构
[1] Sharif Univ Technol, Dept Ind Engn, Tehran 136511155, Iran
[2] Otto von Guericke Univ, Fac Math, D-39106 Magdeburg, Germany
关键词
home health care; routing and scheduling; nurse downgrading; Epsilon-constraint method; bi-objective optimization;
D O I
10.3390/ijerph18030900
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In recent years, the management of health systems is a main concern of governments and decision-makers. Home health care is one of the newest methods of providing services to patients in developed societies that can respond to the individual lifestyle of the modern age and the increase of life expectancy. The home health care routing and scheduling problem is a generalized version of the vehicle routing problem, which is extended to a complex problem by adding special features and constraints of health care problems. In this problem, there are multiple stakeholders, such as nurses, for which an increase in their satisfaction level is very important. In this study, a mathematical model is developed to expand traditional home health care routing and scheduling models to downgrading cost aspects by adding the objective of minimizing the difference between the actual and potential skills of the nurses. Downgrading can lead to nurse dissatisfaction. In addition, skillful nurses have higher salaries, and high-level services increase equipment costs and need more expensive training and nursing certificates. Therefore, downgrading can enforce huge hidden costs to the managers of a company. To solve the bi-objective model, an epsilon-constraint-based approach is suggested, and the model applicability and its ability to solve the problem in various sizes are discussed. A sensitivity analysis on the Epsilon parameter is conducted to analyze the effect of this parameter on the problem. Finally, some managerial insights are presented to help the managers in this field, and some directions for future studies are mentioned as well.
引用
收藏
页码:1 / 24
页数:24
相关论文
共 32 条
[1]   PSO-based algorithm for home care worker scheduling in the UK [J].
Akjiratikarl, Chananes ;
Yenradee, Pisal ;
Drake, Paul R. .
COMPUTERS & INDUSTRIAL ENGINEERING, 2007, 53 (04) :559-583
[2]  
Alodhayani AA, 2017, BIOMED RES-INDIA, V28, P2087
[3]  
[Anonymous], 2015, P 2015 INT C IND ENG, DOI DOI 10.1109/IEOM.2015.7093842
[4]  
[Anonymous], 2013, Electron. Notes Discrete Math., DOI [10.1016/j.endm.2013.05, DOI 10.1016/J.ENDM.2013.05]
[5]   A hybrid setup for a hybrid scenario: combining heuristics for the home health care problem [J].
Bertels, S ;
Fahle, T .
COMPUTERS & OPERATIONS RESEARCH, 2006, 33 (10) :2866-2890
[6]   A bi-objective home care scheduling problem: Analyzing the trade-off between costs and client inconvenience [J].
Braekers, Kris ;
Hartl, Richard F. ;
Parragh, Sophie N. ;
Tricoire, Fabien .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2016, 248 (02) :428-443
[7]   A hybrid memetic-ant colony optimization algorithm for the home health care problem with time window, synchronization and working time balancing [J].
Decerle, Jeremy ;
Grunder, Olivier ;
El Hassani, Amir Hajjam ;
Barakat, Oussama .
SWARM AND EVOLUTIONARY COMPUTATION, 2019, 46 :171-183
[8]   The manpower allocation problem with time windows and job-teaming constraints: A branch-and-price approach [J].
Dohn, Anders ;
Kolind, Esben ;
Clausen, Jens .
COMPUTERS & OPERATIONS RESEARCH, 2009, 36 (04) :1145-1157
[9]   LAPS CARE -: an operational system for staff planning of home care [J].
Eveborn, P ;
Flisberg, P ;
Rönnqvist, M .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2006, 171 (03) :962-976
[10]   A bi-objective green home health care routing problem [J].
Fathollahi-Fard, Amir Mohammad ;
Hajiaghaei-Keshteli, Mostafa ;
Tavakkoli-Moghaddam, Reza .
JOURNAL OF CLEANER PRODUCTION, 2018, 200 :423-443