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Optimizing train station inspection operations in the region of Magdeburg.

Höner, Maike (2024) Optimizing train station inspection operations in the region of Magdeburg.

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Abstract:This study addresses the operational challenges faced by train station management departments, particularly focusing on the Magdeburg region of Deutsche Bahn AG (DB). The research aims to optimize the allocation of service teams to field offices and the scheduling of periodic tours, considering the Periodic Location-Routing Problem (PLRP). A Mixed-Integer Linear Program (MILP) was initially formulated but found inadequate for large-scale problems. Consequently, a Multi-Objective Adaptive Large Neighborhood Search (MO-ALNS) metaheuristic is developed to tackle this complex optimization problem efficiently. The study evaluates the efficacy of solutions generated by MO-ALNS against single-objective approaches and smaller MILP instances. Numerical experiments and stochastic analysis demonstrate significant improvements in travel distances and cost reductions, particularly when integrating multiple field offices into team structures. Recommendations regarding maximum tour duration and considerations for employee well-being and departmental interconnections are provided. While acknowledging limitations, the MO-ALNS approach offers valuable insights and a versatile tool for optimizing train station operations and field office placements within Deutsche Bahn.
Item Type:Essay (Master)
DB InfraGo AG, Magdeburg, Germany
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:31 mathematics, 58 process technology, 85 business administration, organizational science
Programme:Industrial Engineering and Management MSc (60029)
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