Publication type: Conference other
Type of review: Not specified
Title: Optimized staff scheduling at Swissport
Authors : Fusek, Peter
et. al : No
Conference details: 16th Swiss OR Days, Bern, 12-13 June 2018
Issue Date: 13-Jun-2018
Language : English
Subject (DDC) : 500: Natural sciences and mathematics
658.3: Human resource management
Abstract: We present a major research and business project aimed at developing efficient and flexible software for automated airport staff rostering. Industrial partner is Swissport International, one of the largest ground handling companies worldwide. The diversity of the ground handling functions at Zurich Airport, the large number of operational duties, and the around-the-clock business hours result in hundreds of different types of shifts to be planned every month, and an employee base consisting of several thousand persons with numerous different skills. Employee scheduling typically involves a number of sub-problems. The rostering process considered here focuses on the days-off planning and shift assignment phase. The methodology used for solving the associated complex large-scale optimization problems comprises a broad range of optimization techniques including pre-processing, decomposition and relaxation approaches, large-scale integer programming models and various heuristic procedures. We present computational experience with real world instances and discuss operational impacts of the developed planning tool.
Fulltext version : Published version
License (according to publishing contract) : Licence according to publishing contract
Departement: School of Engineering
Organisational Unit: Institute of Data Analysis and Process Design (IDP)
Appears in Collections:Publikationen School of Engineering

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