This paper presents a review of the literature on personnel scheduling problems. Firstly, we
discuss the classification methods in former review papers. Secondly, we evaluate the …

This paper presents a review and classification of the literature regarding workforce
planning problems incorporating skills. In many cases, technical research regarding …

COVID-19 is affecting all walks of life. To deal with it, we need to make use of scientifically
sound tools and models. Operations research (OR), as a well-established field which …

The manual scheduling of medical treatment in a health centre is a complex, time
consuming, and error prone task. Furthermore, there is no guarantee a manually generated …

Nurse rostering is a complex scheduling problem that affects hospital personnel on a daily
basis all over the world. The need for quality software solutions is acute for a number of …

Optimisation problems in Healthcare have received considerable attention for more than
three decades. More recently, however, with decreasing birth rates in nearly all of the …

Purpose–The incidence of important bankruptcy cases has led to a growing interest in
corporate bankruptcy prediction models since the 1960s. Several past reviews of this …

Hospitals need to repeatedly produce duty rosters for its nursing staff. The good scheduling
of nurses has impact on the quality of health care, the recruitment of nurses, the …

With the coming of the age of artificial intelligence and big data, machine learning (ML) has
been showing powerful potentials for properties prediction of materials. For achieving …

Organizations need to focus on many parameters to reach their goals such as personnel
satisfaction at the top level, profit maximization, increasing system efficiency and minimizing …