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Robust facility location problem for bio-waste transportation

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dc.title Robust facility location problem for bio-waste transportation en
dc.contributor.author Hrabec, Dušan
dc.contributor.author Šomplák, Radovan
dc.contributor.author Nevrlý, Vlastimír
dc.contributor.author Janošťák, František
dc.contributor.author Rosecký, Martin
dc.contributor.author Kůdela, Jakub
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 1093
dc.citation.epage 1098
dc.type article
dc.language.iso en
dc.publisher Italian Association of Chemical Engineering - AIDIC
dc.identifier.doi 10.3303/CET1761180
dc.description.abstract The article presents an optimisation tool for bio-waste facility allocation. The quantity of bio-waste produced in individual territorial units is a key factor for the selection of localities when constructing a new facility. Bio-waste production changes over the course of the year and differs between various types of housing developments. Separation rate is a determining factor for bio-waste production. Readiness to separate the waste reflects the total quantity of bio-waste produced. Predicting the future of bio-waste production is a complex problem, and it would be suitable to consider more developed scenarios. The introduced tool takes into consideration additional possible scenarios for production and provides a robust solution from the point of view of a locality suggestion for the construction of the processing facility. The optimisation model is based on the two-stage stochastic programming approach. The decision regarding the locality for the construction of a new facility is made during the first stage. This method is called the "Here-and-Now" approach. The results are presented in a case study for a selected region in the Czech Republic. Since changes to the legislation in 2014, municipalities are now supposed to provide the possibility to collect the bio-waste of citizens. This has caused significant growth in production - about 20 % annually over the past few years. At this point, it is very complicated to estimate a future trend based on the historical data. Due to this reason, it would be appropriate to consider future bio-waste production across more scenarios. In order to enable the applicability of the tool on a large area with many nodes, it would be necessary to adapt the computation method according to its computational complexity. Copyright © 2017, AIDIC Servizi S.r.l. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1007552
utb.identifier.obdid 43877567
utb.identifier.scopus 2-s2.0-85030750257
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 Faculty of Applied Informatics, Tomas Bata University, T.G. Masaryka 5555, Zlín, 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 Mechanical Engineering, Brno University of Technology, VUT Brno, Technická 2896/2, Brno, Czech Republic
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