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Systematic approach for the design of sustainable supply chains under quality uncertainty
dc.contributor.author | Medina González, Sergio Armando |
dc.contributor.author | Graells Sobré, Moisès |
dc.contributor.author | Guillén Gosálbez, Gonzalo |
dc.contributor.author | Espuña Camarasa, Antonio |
dc.contributor.author | Puigjaner Corbella, Lluís |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria Química |
dc.date.accessioned | 2017-03-16T12:14:15Z |
dc.date.available | 2019-08-01T00:25:43Z |
dc.date.issued | 2017-03-11 |
dc.identifier.citation | Medina , S., Graells, M., Guillén, G., Espuña, A., Puigjaner, L. Systematic approach for the design of sustainable supply chains under quality uncertainty. "Energy conversion and management", 11 Març 2017, vol. 149, p. 722-737. |
dc.identifier.issn | 0196-8904 |
dc.identifier.uri | http://hdl.handle.net/2117/102584 |
dc.description.abstract | Sustainable processes have recently awaked an increasing interest in the process systems engineering literature. In industry, this kind of problems inevitably required a multi-objective analysis to evaluate the environmental impact in addition to the economic performance. Bio-based processes have the potential to enhance the sustainability level of the energy sector. Nevertheless, such processes very often show variable conditions and present an uncertain behavior. The approaches presented for solving multi-objective problems under uncertainty have neglected the potential effects of different quality streams on the overall system. Here, it is presented an alternative approach, based on a State Task Network formulation, capable of optimizing under uncertain conditions, considering multiple selection criteria and accounting for the material quality effect. The resulting set of Pareto solutions are then assessed using the Elimination and Choice Expressing Reality-IV method, which identify the ones showing better overall performance considering the uncertain parameters space |
dc.language.iso | eng |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Enginyeria química |
dc.subject.lcsh | Business logistics--Environmental aspects. |
dc.subject.other | Uncertainty |
dc.subject.other | State Task Network |
dc.subject.other | Sample Average Approximation |
dc.subject.other | Sustainability |
dc.subject.other | Quality |
dc.subject.other | Industrial symbiosis |
dc.title | Systematic approach for the design of sustainable supply chains under quality uncertainty |
dc.type | Article |
dc.subject.lemac | Logística (Indústria) -- Innovacions tecnològiques |
dc.subject.lemac | Logística (Indústria) -- Aspectes ambientals |
dc.contributor.group | Universitat Politècnica de Catalunya. CEPIMA - Center for Process and Environment Engineering |
dc.identifier.doi | 10.1016/j.enconman.2017.02.060 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://www.sciencedirect.com/science/article/pii/S0196890417301711 |
dc.rights.access | Open Access |
local.identifier.drac | 19787041 |
dc.description.version | Postprint (author's final draft) |
local.citation.author | Medina, S.; Graells, M.; Guillén, G.; Espuña, A.; Puigjaner, L. |
local.citation.publicationName | Energy conversion and management |
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