Lead-time demand forecasting constitutes the backbone of inventory control. Although there has been a considerable amount research on mean lead-time demand, less centered around variance, especially in case stochastic lead-times. This represents an important gap literature, given that safety stock calculations rely explicitly variance (or equivalently forecast error for unbiased estimators). We...

In this paper we consider a make-to-stock production system whose permanent production capacity can be increased temporarily by making use of some contingent resources, while this capacity acquisition has a constant lead time associated with it. We present a model where the capacity management problem is handled in an integrated manner with the inventory management, under non-stationary and sto...

Coarse graining of dense liquid-state systems can potentially lead to fast simulation times, thus providing an effective bridge between atomistic and continuum descriptions. Dissipative particle dynamics (DPD) is a stochastic Lagrangian method that provides a simple formal procedure for coarse graining. Here we analyze some of the fundamental modeling ideas of DPD and identify three factors tha...