We consider a generalized version of the shift design problem where shifts are created to cover a multiskilled demand and fit the parameters of the workforce. We present a collection of constraints and objectives for the generalized shift design problem. A local search solution
framework with multiple neighborhoods and a loosely coupled rule engine based on simulated annealing is presented. Computational experiments on real-life data from various airport ground handling organization show the performance and flexibility of the proposed algorithm.
Place of Publication | Kgs. Lyngby |
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Publisher | DTU Management |
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Number of pages | 20 |
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ISBN (Print) | 978-87-90855-93-2 |
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Publication status | Published - 2010 |
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Series | DTU Management 2010 |
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Number | 16 |
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