A rolling planning horizon heuristic for scheduling agents with different qualifications

Stolletz, Raik ; Zamorano, Emilio

DOI: https://doi.org/10.1016/j.tre.2014.05.002
URL: http://www.sciencedirect.com/science/article/pii/S...
Additional URL: https://pdfs.semanticscholar.org/b71e/e5d0fe8d272f...
Document Type: Article
Year of publication: 2014
The title of a journal, publication series: Transportation Research. Part E, Logistics and Transportation Review
Volume: 68
Issue number:
Page range: 39-52
Place of publication: Amsterdam
Publishing house: Elsevier
ISSN: 1366-5545 , 1878-5794
Publication language: English
Institution: Business School > ABWL u. Produktion (Stolletz 2010-)
Außerfakultäre Einrichtungen > Graduate School of Economic and Social Sciences - CDSB (Business Studies)
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.

Dieser Eintrag ist Teil der Universitätsbibliographie.

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