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001 978-3-319-24154-8
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020 _a9783319241548
_9978-3-319-24154-8
024 7 _a10.1007/978-3-319-24154-8
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
245 1 0 _aOperations Research and Big Data
_h[electronic resource] :
_bIO2015-XVII Congress of Portuguese Association of Operational Research (APDIO) /
_cedited by Ana Paula Ferreira Dias Barbosa P�ovoa, Joao Luis de Miranda.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _aIX, 256 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Big Data,
_x2197-6503 ;
_v15
505 0 _aA model to minimize costs and promote species persistence under climate change -- A Fix-and-Relax algorithm for solving parallel and sequential versions of a multi-period multi- product closed loop supply chain design and operation planning model -- Efficiency in Increasing Returns of Scale Frontier -- Modeling inter-sector health policy options and health gains in a long-term care network: a location-allocation stochastic planning approach -- Optimization of construction and demolition waste management: Application to the Lisbon Metropolitan Area.
520 _aThe development of Operations Research (OR) requires constant improvements, such as the integration of research results with business applications and innovative educational practice. The full deployment and commercial exploitation of goods and services generally need the construction of strong synergies between educational institutions and businesses. The IO2015 -XVII Congress of APDIO aims at strengthening the knowledge triangle in education, research and innovation, in order to maximize the contribution of OR for sustainable growth, the promoting of a knowledge-based economy, and the smart use of finite resources. The IO2015-XVII Congress of APDIO is a privileged meeting point for the promotion and dissemination of OR and related disciplines, through the exchange of ideas among teachers, researchers, students , and professionals with different background, but all sharing a common desire that is the development of OR.
650 0 _aEngineering.
650 0 _aProduction management.
650 0 _aData mining.
650 0 _aOperations research.
650 0 _aManagement science.
650 0 _aStatistics.
650 0 _aComputational intelligence.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aOperations Research, Management Science.
650 2 4 _aOperations Management.
650 2 4 _aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
650 2 4 _aData Mining and Knowledge Discovery.
700 1 _aP�ovoa, Ana Paula Ferreira Dias Barbosa.
_eeditor.
700 1 _ade Miranda, Joao Luis.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319241524
830 0 _aStudies in Big Data,
_x2197-6503 ;
_v15
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-24154-8
912 _aZDB-2-ENG
942 _cEBK
999 _c56054
_d56054