Railway crew capacity planning problem with connectivity of schedules

Railway crew capacity planning problem with connectivity of schedules

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Article ID: iaor201530376
Volume: 84
Issue: 2
Start Page Number: 88
End Page Number: 100
Publication Date: Dec 2015
Journal: Transportation Research Part E
Authors: ,
Keywords: personnel & manpower planning, combinatorial optimization, scheduling, programming: mathematical, networks, simulation, programming: linear
Abstract:

We study a tactical level crew capacity planning problem in railways which determines the minimum required crew size in a region while both feasibility and connectivity of schedules are maintained. We present alternative mathematical formulations which depend on network representations of the problem. A path‐based formulation in the form of a set‐covering problem along with a column‐and‐row generation algorithm is proposed. An arc‐based formulation of the problem is solved with a commercial linear programming solver. The computational study illustrates the effect of schedule connectivity on crew capacity decisions and shows that arc‐based formulation is a viable approach.

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