Nurse scheduling is a complex combinatorial optimization problem. With increasing healthcare costs, and a shortage of trained staff it is becoming increasingly important for hospital management to make good operational decisions. A major element of hospital expenditure is staff cost. In order to help Kajang Hospital to make decisions about staffing and work scheduling, a simulation model was cr...

Proper scheduling of tasks leads to optimum using of time and resources, in order to obtaining best result. One of the most important and complicated scheduling problems is open shop scheduling problem. There are n jobs in open shop scheduling problem which should be processed by m machines. Purpose of scheduling open shop problem is attaining to a suitable order of processing jobs by specified...

Proper scheduling of tasks leads to optimum using of time and resources, in order to obtaining best result. One of the most important and complicated scheduling problems is open shop scheduling problem. There are n jobs in open shop scheduling problem which should be processed by m machines. Purpose of scheduling open shop problem is attaining to a suitable order of processing jobs by specified...

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 nurse’s assignment. Based on the idea of using probabilistic models, the BOA builds a Bayesian network f...

Nurse rostering is a complex problem which affects the everyday activities and health care tasks in modern hospitals. The Nurse Rostering Problem is a subclass of the personnel scheduling problems, and most of its instances are NP-hard. The goal is to find a quality assignment of shift categories to available nurses. Even though solving the Nurse Rostering Problem has been a field of interest o...

Nurse rostering is a well-known highly constrained scheduling problem requiring assignment of shifts to nurses satisfying a variety of constraints. Exact algorithms may fail to produce high quality solutions, hence (meta)heuristics are commonly preferred as solution methods which are often designed and tuned for specific (group of) problem instances. Hyper-heuristics have emerged as general sea...

-Solving the nurse scheduling problem properly has a great impact on nurses' working conditions which are strongly related to the level of quality of health care and recruiting of qualified personnel. In this paper, a multi-objective approach is shown to be a very flexible tool for modeling this problem. Hence, it could be used in several specific contexts. Three different solution techniques a...

The oncology clinics use different nursing care delivery models to provide chemotherapy treatment to cancer patients. Functional and primary care delivery models are the most commonly used methods in the clinics. In functional care delivery model, patients are scheduled for a chemotherapy appointment without considering availabilities of individual nurses, and nurses are assigned to patients ac...

Nurse staffing and scheduling is a major health human resource issue currently facing healthcare organizations. To increase the capacity of healthcare organizations to address a variety of issues related to nurse staffing and scheduling, a mult-isite collaborative project was undertaken. The primary focus of this project was

proper scheduling of tasks leads to optimum using of time and resources, inorder to obtaining best result. one of the most important and complicatedscheduling problems is open shop scheduling problem. there are n jobs in openshop scheduling problem which should be processed by m machines. purpose ofscheduling open shop problem is attaining to a suitable order of processing jobs byspecified mach...