Producción CyT
Capítulo de Libro
Autoría
L.J. Zeballos
;
C.A. Méndez
;
A.P. Barbosa-Povoa
;
A. Novais
Fecha
2013
Editorial y Lugar de Edición
University of Calabria
Libro
Proceedings of the international Workshop on Innovation for Logistics
(pp. 6-14)
University of Calabria
University of Calabria
ISBN
978-88-97999-30-0
Resumen
Información suministrada por el agente en
SIGEVA
In this paper, a robust multi-stage stochastic programming approach is proposed for addressing the design and planning of multi-period, multi-product Closed-Loop Supply Chains (CLSCs) with uncertainty in supply and customer demands. Adjustments in the supply chain structure are allowed during the planning horizon providing flexibility to the network. Aspects related to operational and environmental costs of different transportation modes, as well as capacity limits on production, distribution a...
In this paper, a robust multi-stage stochastic programming approach is proposed for addressing the design and planning of multi-period, multi-product Closed-Loop Supply Chains (CLSCs) with uncertainty in supply and customer demands. Adjustments in the supply chain structure are allowed during the planning horizon providing flexibility to the network. Aspects related to operational and environmental costs of different transportation modes, as well as capacity limits on production, distribution and storage are also addressed. The effects of the uncertainty are considered by means of multiple scenarios. The objective is to find per period the optimal decisions related to the facility location, the average and variability of operational costs, as well as the revenue due to the amount of used products returned to the forward network. The effectiveness of the proposed approach is established by means of several case studies. A scenario reduction algorithm is applied in order to maintain within a manageable model size the complex case studies addressed.
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Palabras Clave
StochasticRobust optimizationClose loop SC