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assign shifts to the nurses in order to satisfy the hospital’s demand during the planning horizon by considering different … considering several important factors such as hospital’s policies, labor laws, governmental regulations, and the status of nurses … at the end of the previous planning horizon in one of the largest hospitals in Iran i.e., Milad Hospital. Due to the …
Persistent link: https://www.econbiz.de/10011562610
operating room is considered to be the main engine and hence the main generator of variance in the hospital. It is our believe …
Persistent link: https://www.econbiz.de/10012734762
Two ideas taken from Bayesian optimization and classifier systems are presented for personnel scheduling based on choosing a suitable scheduling rule from a set for each person's assignment. Unlike our previous work of using genetic algorithms whose learning is implicit, the learning in both...
Persistent link: https://www.econbiz.de/10012984194
The aim of this research is twofold: Firstly, to model and solve a complex nurse scheduling problem with an integer programming formulation and evolutionary algorithms. Secondly, to detail a novel statistical method of comparing and hence building better scheduling algorithms by identifying...
Persistent link: https://www.econbiz.de/10012985130
Nursing workforce management is a challenging decision-making task in hospitals. The decisions are made across different timescales and levels from strategic long-term staffing budget to mid-term scheduling. These decisions are interconnected and impact each other, therefore are best taken by...
Persistent link: https://www.econbiz.de/10012029360
The nurse-scheduling is a common problem in hospitals. The problem requires a timetable considering hospital … fair automated schedule. The model considers two aspects related to hospital regulation constraints. First, the dynamic …
Persistent link: https://www.econbiz.de/10014533153
Persistent link: https://www.econbiz.de/10014226736
Motivated by bed allocation patterns of U.S. nursing homes, we formulate a queueing network model to study nonprofit and for-profit nursing homes' bed allocation decisions and the resulting access to care for the public. Nursing homes have a fixed number of beds that can be allocated among three...
Persistent link: https://www.econbiz.de/10012501433
Our research has shown that schedules can be built mimicking a human scheduler by using a set of rules that involve domain knowledge. This chapter presents a Bayesian Optimization Algorithm (BOA) for the nurse scheduling problem that chooses such suitable scheduling rules from a set for each...
Persistent link: https://www.econbiz.de/10012984660
This paper describes a Genetic Algorithms approach to a manpower-scheduling problem arising at a major UK hospital …
Persistent link: https://www.econbiz.de/10012985134