Handling of Uncertainty in Life Cycle Inventory by Correlated Multivariate Lognormal Distributions: Application to the Design of Supply Chain Networks
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Title: | Handling of Uncertainty in Life Cycle Inventory by Correlated Multivariate Lognormal Distributions: Application to the Design of Supply Chain Networks |
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Authors: | Labarta, Juan A. | Salcedo Díaz, Raquel | Ruiz-Femenia, Rubén | Guillén Gosálbez, Gonzalo | Caballero, José A. |
Research Group/s: | Computer Optimization of Chemical Engineering Processes and Technologies (CONCEPT) | Estudios de Transferencia de Materia y Control de Calidad de Aguas (ETMyCCA) |
Center, Department or Service: | Universidad de Alicante. Departamento de Ingeniería Química |
Keywords: | Lognormal distribution | Life cycle assessment | Multi-objective optimization | Sustainable supply chain | Risk management |
Knowledge Area: | Ingeniería Química |
Issue Date: | 2014 |
Publisher: | Elsevier |
Citation: | Computer Aided Chemical Engineering. 2014, 33: 1075-1080. doi:10.1016/B978-0-444-63455-9.50014-3 |
Abstract: | In this work, we analyze the effect of incorporating life cycle inventory (LCI) uncertainty on the multi-objective optimization of chemical supply chains (SC) considering simultaneously their economic and environmental performance. To this end, we present a stochastic multi-scenario mixed-integer linear programming (MILP) coupled with a two-step transformation scenario generation algorithm with the unique feature of providing scenarios where the LCI random variables are correlated and each one of them has the desired lognormal marginal distribution. The environmental performance is quantified following life cycle assessment (LCA) principles, which are represented in the model formulation through standard algebraic equations. The capabilities of our approach are illustrated through a case study of a petrochemical supply chain. We show that the stochastic solution improves the economic performance of the SC in comparison with the deterministic one at any level of the environmental impact, and moreover the correlation among environmental burdens provides more realistic scenarios for the decision making process. |
Sponsor: | The authors wish to acknowledge support from the Spanish Ministry of Science and Innovation (CTQ2012-37039-C02-02). |
URI: | http://hdl.handle.net/10045/46076 |
ISBN: | 978-0-444-63434-4 |
ISSN: | 1570-7946 |
DOI: | 10.1016/B978-0-444-63455-9.50014-3 |
Language: | eng |
Type: | info:eu-repo/semantics/article |
Rights: | © 2014 Elsevier B.V. |
Peer Review: | si |
Publisher version: | http://dx.doi.org/10.1016/B978-0-444-63455-9.50014-3 |
Appears in Collections: | INV - CONCEPT - Artículos de Revistas INV - ETMyCCA - Artículos de Revistas |
Files in This Item:
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2014_Reyes_etal_CACE_final.pdf | Versión final (acceso restringido) | 1,86 MB | Adobe PDF | Open Request a copy |
2014_Reyes_etal_CACE_preprint.pdf | Preprint (acceso abierto) | 283,01 kB | Adobe PDF | Open Preview |
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