|Publication type:||Conference other|
|Type of review:||Peer review (abstract)|
|Title:||Airport ground staff scheduling : a real-world business application|
|Conference details:||30th European Conference on Operational Research, Dublin, Ireland, 23-26 June 2019|
|Subjects:||Rostering; Programming; Mixed-Integer|
|Subject (DDC):||005: Computer programming, programs and data|
|Abstract:||Staff scheduling and rostering involves a number of hierarchical subproblems including demand modeling, task generation, shift design, days-off scheduling, shift assignment and real-time dispatching. When solving highly constrained large-scale workforce planning problems it is usually not computationally practical to deal simultaneously with all these tasks. Real-world software solutions typically decompose the overall planning task into heuristically designed subproblems which then are tackled by a variety of suitable exact and heuristic methods. We present results from a major research and business project with Swissport International, the largest ground handling company worldwide, which provides services for 850 customers and 265 million passengers a year, with a workforce of 68 000 personnel at 315 airports. During a long-term strategic cooperation, a high-performance software for automated staff scheduling has been developed, which is able to solve the complex large-scale rostering problems in Swissport's airport operations. The methodology comprises a broad range of optimization techniques including preprocessing, decomposition and relaxation approaches, mixed-integer programming models, and various heuristic procedures. Operational deployment started at Zurich Airport and is continually being extended to other airports and customers. Bottom line benefits include faster and more robust planning processes, improved roster quality, and substantial financial savings.|
|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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