A rolling planning horizon heuristic for scheduling agents with different qualifications


Stolletz, Raik ; Zamorano, Emilio


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URL: https://madoc.bib.uni-mannheim.de/35854
URN: urn:nbn:de:bsz:180-madoc-358541
Document Type: Working paper
Year of publication: 2013
Place of publication: Rochester, NY
Related URLs: https://doi.org/10.1016/j.tre.2014.05.002
Publication language: English
Institution: Business School > ABWL u. Produktion (Stolletz)
Subject: 650 Management
Keywords (English): airport operations management , multiskilled workforce , tour scheduling , check-in counters
Abstract: This paper presents an optimization model for the tour scheduling problem for agents with multiple skills and flexible contracts in check-in counters at airports. The objective is to minimize the total assignment costs subject to demand fulfillment and labor regulations. In order to solve this problem we develop a rolling planning horizon-based heuristic. Our heuristic is robust and provides near-optimal schedules within reasonable computation time for real-world cases, although the parameter selection is important to its performance. In addition, we discuss the impact of the skill distribution on the scheduling costs for several instances.
Additional information: Neuere Version in: Transportation Research Part E: Logistics and Transportation Review, 68.2014 s. Verwandte URLs

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Stolletz, Raik ; Zamorano, Emilio (2013) A rolling planning horizon heuristic for scheduling agents with different qualifications. Open Access Rochester, NY [Working paper]
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