2013
DOI: 10.1016/j.ces.2013.02.054
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Multi-objective optimization of environmentally conscious chemical supply chains under demand uncertainty

Abstract: In this work, we analyse the effect of demand 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 program (MILP) with the unique feature of incorporating explicitly the demand uncertainty using scenarios with given probability of occurrence. The environmental performance is quantified following life cycle assessment (LCA) principles, which … Show more

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Cited by 63 publications
(34 citation statements)
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“…In the CTG case, the scope is limited to the factory gate and is commonly adopted by multiple consumers companies. Recent examples are Ruiz-Femenia et al (2013) and Yue et al (2014). Lastly, the exclusion of raw material extraction is evidenced in the GTG scope, which is usually applied to end-of-life products supply chains.…”
Section: Incorporation Of Life Cycle Assessment (Lca)mentioning
confidence: 98%
“…In the CTG case, the scope is limited to the factory gate and is commonly adopted by multiple consumers companies. Recent examples are Ruiz-Femenia et al (2013) and Yue et al (2014). Lastly, the exclusion of raw material extraction is evidenced in the GTG scope, which is usually applied to end-of-life products supply chains.…”
Section: Incorporation Of Life Cycle Assessment (Lca)mentioning
confidence: 98%
“…For instance, Jia et al (2006) employed MO optimization in the context of cleaner production, and Erol and Thöming (2005) for the eco-design of reuse and recycling networks. Recent publications (Guillén-Gosálbez and Pozo et al, 2012;Ruiz-Femenia et al, 2013) employed it in the optimization of chemical supply chains. The subject of the study by García and Caballero (2011) was an economic and environmental assessment of various alternatives for extracting acetic acid from water.…”
Section: Accepted Manuscriptmentioning
confidence: 99%
“…Searching for a single schedule for all scenarios is often used in the robust literature [9]. However, a less conservative option is using a multi-stage stochastic optimization [16], which benefits from the assumption that the uncertainty can be measured in the short future, so decisions could be adapted accordingly. Hence, we propose a two-step scheduling approach for the evaporation network considering uncertainty in the outdoor weather and production plan.…”
Section: Center For Advanced Process Systems Engineering (Capse) Intmentioning
confidence: 99%