document: An integrated optimization model for train crew management Train crew management involves the development of a duty timetable for each of the drivers -LRB- crew -RRB- to cover a given train timetable in a rail transport organization . This duty timetable is spread over a certain period , known as the roster planning horizon . Train crew management may arise either from the planning stage , when the total number of crew and crew distributions are to be determined , or from the operating stage when the number of crew at each depot is known as input data . In this paper , we are interested in train crew management in the planning stage . In the literature , train crew management is decomposed into two stages : crew scheduling and crew rostering which are solved sequentially . We propose an integrated optimization model to solve both crew scheduling and crew rostering . The model enables us to generate either cyclic rosters or non-cyclic rosters . Numerical experiments are carried out over data sets arising from a practical application
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