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The L-shaped method for large-scale mixed-integer waste management decision making problems

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dc.title The L-shaped method for large-scale mixed-integer waste management decision making problems en
dc.contributor.author Kůdela, Jakub
dc.contributor.author Popela, Pavel
dc.contributor.author Šomplák, Radovan
dc.contributor.author Málek, Martin
dc.contributor.author Rychtář, Adam
dc.contributor.author Hrabec, Dušan
dc.relation.ispartof Chemical Engineering Transactions
dc.identifier.issn 2283-9216 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2017
utb.relation.volume 61
dc.citation.spage 1087
dc.citation.epage 1092
dc.type article
dc.language.iso en
dc.publisher Italian Association of Chemical Engineering - AIDIC
dc.identifier.doi 10.3303/CET1761179
dc.description.abstract It is without a doubt that deciding upon strategic issues requires us to somehow anticipate and consider possible variations of the future. Unfortunately, when it comes to the actual modelling, the sheer size of the problems that accurately describe the uncertainty is often extremely hard to work with. This paper aims to describe a possible way of dealing with the issue of large-scale mixed integer models (in term of the number of possible future scenarios it can handle) for the studied waste management decision making problem. The algorithm is based on the idea of decomposing the overall problem alongside the different scenarios and solving these smaller problems instead. The use of the algorithm is demonstrated on a strategic waste management problem of choosing the optimal sites to build new incineration plants, while minimizing the expected cost of waste transport and processing. The uncertainty was modelled by 5,000 scenarios and the problem was solved to high accuracy using relatively modest means (in terms of computational power and needed software). en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1007551
utb.identifier.obdid 43877568
utb.identifier.scopus 2-s2.0-85030759300
utb.source j-scopus
dc.date.accessioned 2018-01-15T16:31:27Z
dc.date.available 2018-01-15T16:31:27Z
utb.contributor.internalauthor Hrabec, Dušan
utb.scopus.affiliation Institute of Mathematics, Faculty of Mechanical Engineering, Brno University of Technology, VUT Brno, Technická 2896/2, Brno, Czech Republic; Institute of Process Engineering, Faculty of Mechanical Engineering, Brno University of Technology, VUT Brno, Technická 2896/2, Brno, Czech Republic; Institute of Mathematics, Faculty of Applied Informatics, Tomas Bata University in Zlín, Nad Stránemi 4511, Zlín, Czech Republic
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