Citation

Ásgeirsson, E. I; Kyngäs, J; Nurmi, K and Stølevik, M A Framework for Implementation-Oriented Staff Scheduling. In proceedings of the 5th Multidisciplinary International Conference on Scheduling : Theory and Applications (MISTA 2011), 9-11 August 2011, Phoenix, Arizona, USA, pages 308-321, 2011.

Paper


Abstract

This paper presents a general framework for an implementation-oriented, highly constrained staff scheduling problem that is modeled from the requirements of various lines of business and industry. The presented model builds up a solid foundation for wide variety of real-world staff scheduling scenarios. We hope the presented modeling issues assist academics in getting their research results implemented into commercial systems. We define a staff scheduling problem, introduce the necessary terminology, discuss research guidelines and detail the constraints of the problem. A set of artificial and real-world instances derived from the actual problems solved for various companies are presented. We publish the best solutions we have found, and invite the staff scheduling community to challenge our results. We believe that the instances will help researchers to test the implementation value of their solution methods. The instances are available online.


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Bibtex

@INPROCEEDINGS{2011-308-321-P, author = {E. I. Ásgeirsson and J. Kyngäs and K. Nurmi and M. Stølevik},
title = {A Framework for Implementation-Oriented Staff Scheduling},
booktitle = {In proceedings of the 5th Multidisciplinary International Conference on Scheduling : Theory and Applications (MISTA 2011), 9-11 August 2011, Phoenix, Arizona, USA},
year = {2011},
editor = {J. Fowler and G. Kendall and B. McCollum},
pages = {308--321},
note = {Paper},
abstract = {This paper presents a general framework for an implementation-oriented, highly constrained staff scheduling problem that is modeled from the requirements of various lines of business and industry. The presented model builds up a solid foundation for wide variety of real-world staff scheduling scenarios. We hope the presented modeling issues assist academics in getting their research results implemented into commercial systems. We define a staff scheduling problem, introduce the necessary terminology, discuss research guidelines and detail the constraints of the problem. A set of artificial and real-world instances derived from the actual problems solved for various companies are presented. We publish the best solutions we have found, and invite the staff scheduling community to challenge our results. We believe that the instances will help researchers to test the implementation value of their solution methods. The instances are available online.},
owner = {gxk},
timestamp = {2011.08.15},
webpdf = {2011-308-321-P.pdf} }