Master production scheduling and in-line vehicle sequencing are core elements in the automotive industry to develop a production plan. Sequencing relies master production scheduling to derive a production schedule where vehicles can be sequenced on the assembly line without violating sequencing rules implied by the mixed-model assembly line structure. However, hierarchical approaches that integrate both procedures are rarely considered in the relevant literature. Furthermore, supply disruptions negatively impact the production sequence as material shortage leads to the removal of affected vehicles from the sequence and potentially cause rule violations. Hence, this thesis investigates the hierarchical in-line vehicle sequencing problem subject to part delivery probabilities. Scheduling model as well as sequencing models and heuristics are introduced and evaluated in terms of their performance. Part delivery probabilities are assumed to be known and considered in the solution approach at hand. To conclude, the performance of the alternative strategies considered is discussed.     «

Master production scheduling and in-line vehicle sequencing are core elements in the automotive industry to develop a production plan. Sequencing relies master production scheduling to derive a production schedule where vehicles can be sequenced on the assembly line without violating sequencing rules implied by the mixed-model assembly line structure. However, hierarchical approaches that integrate both procedures are rarely considered in the relevant literature. Furthermore, supply disrupti...     »