In this study we investigate the impact of APP and forecasting
on service- and inventory level in an MTO setting. In the provided
HPP framework the APP decision problem is formulated as a linear
mathematical model and solved to optimality by a standard
optimization engine. A discrete-event simulation model is used
to perform lower level planning steps and to mimic the shop floor
where stochastic and nonlinear dependencies are considered. We
assume four different demand scenarios and different forecasting
techniques