A Two-Stage Stochastic Model for the Design and Planning of a Multi-Product Closed Loop Supply Chains

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Abstract

In this paper we address the problem of uncertainty in the design and planning of a multi-period, multi-product closed loop supply chain, where the recovered products are end-of-life products that are disassembled and recycled. Uncertainty is explicitly modelled by considering customers’ demands and returns to be stochastic. A two–stage model is developed where first stage decisions concern the facility location while second stage decisions are the production planning of the supply chain. The integer L- shaped method was adopted as the solution tool and computational tests were performed on multi-period and multi-commodity networks randomly generated based on a reference case. A comparison between the proposed solution method and the straight use of the CPLEX is performed.
Original languageUnknown
Title of host publicationComputer Aided Chemical Engineering
EditorsIDL Bogle, M Fairweather
Place of PublicationLondon
PublisherElsevier
Pages412-416
Volume30
ISBN (Print)978-0-444-59431-0
DOIs
Publication statusPublished - 1 Jan 2012
Event22nd European Symposium on Computer Aided Process Engineering -
Duration: 1 Jan 2012 → …

Conference

Conference22nd European Symposium on Computer Aided Process Engineering
Period1/01/12 → …

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