Template-Type: ReDIF-Paper 1.0
Author-Name: Listes, O.L.
Author-Name-Last: Listes
Author-Name-First: Ovidiu
Author-Name: Dekker, R.
Author-Name-Last: Dekker
Author-Name-First: Rommert
Author-Person: pde16
Title: Stochastic approaches for product recovery network design: a case study
Abstract: Increased uncertainty is one of the characteristics of product recovery networks. In particular the strategic design of their logistic infrastructure has to take uncertain information into account. In this paper we present stochastic programming based approaches by which a deterministic location model for product recovery network design may be extended to explicitly account for the uncertainties. Such a stochastic model seeks a solution which is appropriately balanced between some alternative scenarios identified by field experts. We apply the stochastic models to a representative real case study on recycling sand from demolition waste in  The Netherlands. The interpretation of the results is meant to give more insight into decision-making for reverse logistics.
Creation-Date: 2001-03-20
File-URL: https://repub.eur.nl/pub/1672/feweco20010320122936.pdf
File-Format: application/pdf
Series: RePEc:ems:eureir
Number: EI 2001-08
Keywords: Location, Reverse logistics, Stochastic programming, Uncertainty
Handle: RePEc:ems:eureir:1672