Title :
Solving the person-based multitask shift generation problem with breaks
Author :
Kyngas, Nico ; Nurmi, Kimmo ; Kyngas, Jari
Author_Institution :
Satakunta Univ. of Appl. Sci., Pori, Finland
Abstract :
Good rosters have many benefits for an organization, such as lower costs, more effective utilization of resources and fairer workloads. This paper introduces the person-based multitask shift generation problem with breaks. The problem is to construct a set of shifts such that the staff demand at each timeslot is covered as well as possible. A set of real-world instances derived from the actual problems solved for various companies is presented, along with our results. This research has contributed to better systems for our industry partners.
Keywords :
costing; organisational aspects; personnel; resource allocation; scheduling; company; cost; fairer workload; organization; person-based multitask shift generation problem; resource utilization; staff demand; timeslot; workforce scheduling; Computational intelligence; Job shop scheduling; Optimal scheduling; Processor scheduling; Schedules; computational intelligence; real-world scheduling; shift design problem; shift generation problem; workforce scheduling;
Conference_Titel :
Modeling, Simulation and Applied Optimization (ICMSAO), 2013 5th International Conference on
Conference_Location :
Hammamet
Print_ISBN :
978-1-4673-5812-5
DOI :
10.1109/ICMSAO.2013.6552670