, roster pages often contain titles, explanations, and other cues which respondents can use to form expectations about the task ahead. In addition, rosters have been used to convey specific information to respondents about who should be regarded as a household member. Researchers cannot assume

and previously written overviews, we present comparisons for measures that determine the complexity of nurse rostering problems. We describe and discuss solution approaches which span the interdisciplinary spectrum from operations research techniques to artificial intelligence methods. We conclude by drawing

Abstract. 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 scheduling and timetabling researchers. Among the personnel rostering problems, nurse rostering turned out

to injuries. Finally, we apply this model to measure the difference in performance between a team with players who have positional flexibility and a team that does not. We find that using 2012 rosters, flexibility was expected to create from 3% (White Sox) to 15% (Cubs) in value for each team, measured

operations research techniques to artificial intelligence methods. We conclude by drawing on the strengths and weaknesses of the literature to outline the key issues that need addressing in future nurse rostering research. KEY WORDS: nurse rostering, hospital personnel scheduling 1.

applications. They have been collected from a variety of sources including industrial collaborators, other researchers and various publications. The results of entering these algorithms in the 2010 International Nurse Rostering Competition are also presented and discussed. In addition, incorporated within both

The nurse rostering problem involves the assignment of shifts to nurses with respect to several constraints like workload, legal restrictions, and contractual agreements [9]. The complexity of the problem attracts many researchers around the world. Since the regulations, requirements

This paper presents the results of applying a branch and price algorithm and an ejection chain method to a wide range of benchmark nurse rostering instances. The majority of the instances are real world and collected from a variety of sources including industrial collaborators, other researchers

in Malaysia. Experimental results show that our proposed HSA produces better quality rosters for all considered instances than a genetic algorithm (implemented herein). The second is a set of well-known benchmark NRPs which are widely used by researchers in the literature. The proposed HSA obtains good

In this paper, we investigate the possibility of integrating Artificial Intelligence (AI) and Operations Research (OR) techniques for solving the Crew Rostering Problem (CRP). CRP calls for the optimal sequencing of a given set of duties into rosters satisfying a set of constraints. The optimality