INVESTIGADORES
BANDONI Jose Alberto
congresos y reuniones científicas
Título:
Comparing the performances of two techniques for the
Autor/es:
G. DURAND; S. MORENO; F. MELE; M. MONTAGNA; A. BANDONI
Lugar:
Cordoba
Reunión:
Simposio; 2do Simposio Argentino de Informatica Industrial, SII 2013; 2013
Institución organizadora:
SADIO
Resumen:
Abstract.This paper addresses the comparison between two techniques for the
optimization under parametric uncertainty of multiproduct batch plants integrating
design and production planning decisions. This problem has been conceived
as a two-stage stochastic mixed integer linear programming (MILP) in which
the first-stage decisions consist of design variables that allow determining the
batch plant structure, and the second-stage decisions consist of production planning
continuous variables in a multiperiod context. The objective function maximizes
the expected net present value. In the first solving approach, the problem
has been tackled through mathematical programming considering a discrete set
of scenarios. In the second solving approach, the multi-scenario MILP problem
has been reformulated by adopting a simulation-based optimization scheme to
accommodate the variables belonging to different management levels. Advantages
and disadvantages of both approaches are demonstrated through a case
study. Results allow concluding that a simulation-based optimization strategy
may be a suitable technique to afford two-stage stochastic programming problems.