A multistage stochastic optimization model is presented to address the scheduling of supply chains with embedded multipurpose batch chemical plants under demand uncertainty. In order to overcome the numerical difficulties ...

This paper proposes a framework for the analysis of complex optimization problems under uncertainty. The usual multiparametric programing approach is skipped through the use of metamodels to mimic a set of already solved ...

Although design is a problem that has been addressed in the literature, maintaining, upgrading and expanding energy distribution networks along the entire life-cycle is a topic that has received scarce attention. The problem ...

This paper presents a framework for nonlinear constrained optimization of complex systems, in which the objective function and the constraints are represented by black box functions. The proposed approach replaces the ...

This work proposes a discrete-time Mixed Integer Linear Programming (MILP) formulation based on a combined rolling horizon and stochastic programming approach for the simultaneous management of energy supply and demand in ...

This work aims at analyzing the significant environmental issues associated to production process scheduling. The implementation of a LCA for a given process or product requires the gathering of data regarding process ...

Within the context of decision-support tools based on mathematical programming techniques, this contribution presents a procedure for constraints identification and classification. The aim is to manage their transformation ...

Rescheduling programmed tasks, when an unexpected event occurs, may affect the smooth operation of the plant if the initial schedule is not taken into account. This work addresses the penalty incurred by rescheduling actions ...

Nowadays, decision-making is highly challenging in the alignment of decisions to support the success of plant performance and business goals. In this sense, enterprises comprise several functions which interact with each ...