Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7543677 | Operations Research for Health Care | 2015 | 23 Pages |
Abstract
To optimally solve this scheduling problem, we formulate a mixed integer program (MIP) and develop a dynamic programming (DP) approach. The numerical analysis shows the reliability of this optimization approach as well as of a heuristic DP approach. A sensitivity analysis with real-world demand data shows the impact of hierarchical qualification levels and large-scale scheduling.
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Authors
Alexander Lieder, Dennis Moeke, Ger Koole, Raik Stolletz,