This paper presents a case study of a typical reverse logistics problem: the redesign of a recycling system for LPG-tanks. Uncertainty in systems behavior and the difficulty in gathering reliable data are common in reverse logistics network design questions. Especially while the total costs consist for almost 50% of transportation costs, reliable transportation costs estimations are crucial. We used a vehicle routing model to solve this data problem and fed the estimations to a mathematical programming model. The system uncertainty was tackled with sensitivity analysis.
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Paper provided by Tilburg University, Center Applied Research in its series Discussion Paper with number
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M.P. de Brito & S.D.P. Flapper & R. Dekker, 2002.
"Reverse logistics,"
Econometric Institute Report
272, Erasmus University Rotterdam, Econometric Institute.
[Downloadable!]
Other versions:
Brito, M.P. de & Flapper, S.D.P. & Dekker, R., 2002.
"Reverse logistics,"
Econometric Institute Report
EI 2002-21 Revision_Date:, Erasmus University Rotterdam, Econometric Institute.
[Downloadable!]