The purpose of this paper is to present a new methodology for scheduling nurses in which several conflicting factors guide the decision process. Unlike manufacturing facilities where standard shifts and days off are the rule, hospitals operate 24 hours a day, 7 days a week and face widely fluctuating demand. A more flexible arrangement for working hours and days off is needed, especially in lig...

Surgery scheduling determines the individual surgery’s sequence and assigns required resources. This task plays a decisive role in providing timely treatment for the patients while ensuring a balanced hospital resources’ utilization. Considering several real life constraints associated with multiple resources during the complete 3-stage surgery flow, a surgery scheduling model is presented with...

In 2007, total health-care spending in the United States reached US $2.3 trillion, and continues to rise at the fastest rate in US history. The design and implementation of better planning and scheduling systems is an important area to study in order to reduce high costs and improve access to services in the health-care system. Surgery scheduling, in particular, is an area with significant pote...

A s revenues have decreased, health care systems have instituted intensive cost reduction programs, such as the use of pharmaceutical practice guidelines, to attempt to maintain profitability. After implementing such initiatives, some health care systems are having difficulty in further decreasing costs without sacrificing customer (patient) service. The next generation of process improvement e...

Covid-19 causes fear, worry, fatigue, and post-traumatic stress disorder in nurses who are frontline staff hospitals. Based on a survey at hospital felt burnout caring for the covid-19 patients due to lack of rest, concentration when providing nursing care, physical caused by an increase with COVID-19. This study aims determine association between respondent characteristics nurses’ while patien...

We present a multi-objective approach to tackle a real-world nurse scheduling problem using an evolutionary algorithm. The aim is to generate a few good quality non-dominated schedules so that the decision-maker can select the most appropriate one. Our approach is designed around the premise of ‘satisfying individual nurse preferences’ which is of practical significance in our problem. We use f...

In this paper, we present a novel meta-heuristic technique for the nurse scheduling problem (NSP). This well-known scheduling problem assigns nurses to shifts per day taking both hard and soft constraints into account. The objective is to maximize the preferences of the nurses and to minimize the total penalty cost from violations of the soft constraints. The problem is known to be NP-hard. Due...

In this study, a computerized nurse-scheduling model is developed. The model is approached through a 0-1 linear goal program. It is adapted to Riyadh Al-Kharj hospital Program (in Saudi Arabia) to improve the current manual-made schedules. The developed model accounts both for hospital objectives and nurses’ preferences, in addition to considering some recommended policies that are displayed in...