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A Multi-objective optimization for the design and periodic scheduling of multipurpose facilities under uncertainty

dc.contributor.authorPinto, Tânia
dc.contributor.authorNovais, Augusto Q.
dc.contributor.authorBarbosa-Póvoa, Ana Paula
dc.date.accessioned2010-09-16T10:13:18Z
dc.date.available2010-09-16T10:13:18Z
dc.date.issued2009-09-07
dc.description.abstractLike most real-world problems, the design of multipurpose batch facilities involves multiple objectives. However the existing literature on the subject has been mainly centred on mono-criterion objectives (Barbosa-Povoa, 2007). Therefore, multi-objective optimisation is a modelling approach that requires further study when applied to such facilities. The best way to deal with various goals simultaneously is to define the efficient frontier which offers the optimal solutions found by multi-objective optimization. In this work, the inspection of the efficient frontier allows the decision maker to select the most satisfactory plant topology with the respective equipment design and storage policies that minimizes the total cost of the system, while maximizing production, subject to operational restrictions. The approach to the detailed design of multipurpose batch facilities with periodic mode of operation, as proposed by Pinto et al. (2005), is now extended to address the problem of uncertainty associated with demand and the incorporation of economic aspects. The uncertainty is treated through a two-stage stochastic model, leading to a MILP formulation. A scenario is set up where the demand is represented by a discrete probability function and a cyclic operation is considered. The e- constraint method is employed to handle the multi-objective optimization. An example, where different situations are evaluated is solved and a topology analysis is made.por
dc.identifier.citationPinto, T.; Novais, A. Q.; Barbosa, A Multi-objective optimization for the design and periodic scheduling of multipurpose facilities under uncertainty. In: A. P. P. IO 2009 – 14º Congresso da APDIO - Associação Portuguesa de Investigação Operacional, Universidade Nova de Lisboa, Campus da Caparica, 7-9 de Setembro de 2009por
dc.identifier.urihttp://hdl.handle.net/10400.9/906
dc.language.isoengpor
dc.subjectDesignpor
dc.subjectSchedulingpor
dc.subjectBatchpor
dc.subjectMulti-objectivepor
dc.subjectRTNpor
dc.subjectUncertaintypor
dc.titleA Multi-objective optimization for the design and periodic scheduling of multipurpose facilities under uncertaintypor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceUniversidade Nova de Lisboapor
oaire.citation.titleIO 2009 – 14º Congresso da APDIO - Associação Portuguesa de Investigação Operacionalpor
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor

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