We present a supply chain design problem modeled as a sequence of splitting and
combining processes. We formulate the problem as a two-stage stochastic program. The first …

We study in this paper the effects of volume flexibility, delivery flexibility and operational
decision flexibility in operational supply chain planning under uncertain demand. We use a …

We consider the complex and not-yet-studied issue of building the tactical plan of a two-
tiered city logistics system while explicitly accounting for the uncertainty in the forecast …

This contribution deals with the solution of two-stage stochastic integer programs with
discrete scenarios (2-SIPs) that arise in chemical batch scheduling under uncertainty. Since …

The stochastic dynamic programming approach outlined here, makes use of the scenario
tree in a back-to-front scheme. The multi-period stochastic problems, related to the subtrees …

In this contribution, a moving horizon strategy (MHS) based on two-stage stochastic mixed-
integer linear programming with recourse (2S-MILP) for medium-term planning under multi …

This paper presents a formulation and resolution of a two-stage stochastic linear
programming model with recourse for sow farms producing piglets. The proposed model …

We present a two-stage full recourse model for strategic production planning under
uncertainty, whose aim consists of determining product selection and plant dimensioning …

We present an algorithmic framework, so-called BFC-TSMIP, for solving two-stage stochastic
mixed 0–1 problems. The constraints in the Deterministic Equivalent Model have 0–1 …

We present an exact algorithmic framework, so-called BFC-MSMIP, for optimizing multistage
stochastic mixed 0–1 problems with complete recourse. The uncertainty is represented by …