INVESTIGADORES
VECCHIETTI Aldo
artículos
Título:
Multicriteria Optimization Model for Supply Process Problem under Provision and Demand Uncertainty
Autor/es:
MARÍA ANALIA RODRIGUEZ; ALDO R. VECCHIETTI
Revista:
INDUSTRIAL & ENGINEERING CHEMICAL RESEARCH
Editorial:
AMER CHEMICAL SOC
Referencias:
Lugar: Washington; Año: 2011 vol. 50 p. 10630 - 10642
ISSN:
0888-5885
Resumen:
Supply process plays a relevant role on customer satisfaction and company costs. Main characteristics of this problem are given by several decisions which follow a hierarchical structure and a very uncertain context which conditions the success of the solutions proposed. Two significant uncertainty sources are considered in this work: provision and demand, both modeled as exogenous variables with random behavior. Although the company cannot modify the uncertain environment, it can reduce its effects considering the best solution from both, the economic and risk point of view. Due to the problem complexity, a multi-criteria model is required in order to bring a comprehensive solution. Several Pareto optimal solutions are obtained through applying  technique. The original formulation is a non-convex one which is then transformed to obtain a disjunctive linear model that guarantees a global result.