We consider the multi-level lot-sizing problem in a rolling-schedule environment as it occurs in Material Requirements Planning systems, with no capacity constraints and a time-invariant cost structure. We show that the performance of fixed-horizon methods can be improved drastically in a...

Our incentive is to assess the impact of demand forecast errors on the cost performance of several lot-sizing techniques in a multi-level context. Unpredicted changes in demand keep on plaguing consumer product companies. However, efforts to improve demand forecast accuracy may not be rewarded...

Cost-effectiveness and computational time are the traditional criteria for evaluating lot-sizing techniques. However, in evolving environments, frequent revisions of demand forecasts may induce various degrees of instability in planned orders, depending on the selected lot-sizing technique. In...

Several formulations to the mixed-model assembly line have been proposed in the literature. Such a problem is concerned with the production of a variety of product models. Vehicles fall into that category. The underlying assumptions of those models are often restrictive, therefore limiting their...

This paper presents an integer programming formulation for the sequencing problem in mixed-model assembly lines where the number of temporarily hired utility workers and the number of sequence-dependent setups are to be optimized simultaneously through a cost function. The resultant model offers...