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 …

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 …

Nature has been considered as an inspiration of several recent meta-heuristic algorithms.
This paper firstly studies and mimics the behavior of Scottish red deer in order to develop a …

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 …

This paper presents an overview of recent advances for the Nurse Rostering Problem (NRP)
based on methodological papers published between 2012 to 2021. It provides a …

Variable neighbourhood search (VNS) is a metaheuristic, or a framework for building
heuristics, based upon systematic changes of neighbourhoods both in descent phase, to …

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 …

This paper presents a hybrid multi-objective model that combines integer programming (IP)
and variable neighbourhood search (VNS) to deal with highly-constrained nurse rostering …

This paper presents a decision support system for cyclic master surgery scheduling and
describes the results of an extensive case study applied in a medium-sized Belgian hospital …

Personnel rostering has received ample attention in recent years. Due to its social and
economic relevance and due to its intrinsic complexity, it has become a major subject for …