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000923105 019__ $$a1125987941$$a1126608595
000923105 020__ $$a9783030313432$$q(electronic book)
000923105 020__ $$a3030313433$$q(electronic book)
000923105 020__ $$z9783030313425
000923105 0247_ $$a10.1007/978-3-030-31343-2$$2doi
000923105 0247_ $$a10.1007/978-3-030-31
000923105 035__ $$aSP(OCoLC)on1125224759
000923105 035__ $$aSP(OCoLC)1125224759$$z(OCoLC)1125987941$$z(OCoLC)1126608595
000923105 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dLQU$$dUKMGB$$dOCLCF
000923105 049__ $$aISEA
000923105 050_4 $$aTS155
000923105 08204 $$a658.5$$223
000923105 1112_ $$aInternational Symposium for Production Research$$n(19th :$$d2019 :$$cVienna, Austria)
000923105 24510 $$aProceedings of the International Symposium for Production Research 2019 /$$cNuman M. Durakbasa, M. Güneş Gençyılmaz, editors.
000923105 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2020].
000923105 300__ $$a1 online resource (xxiv, 853 pages) :$$billustrations.
000923105 336__ $$atext$$btxt$$2rdacontent
000923105 337__ $$acomputer$$bc$$2rdamedia
000923105 338__ $$aonline resource$$bcr$$2rdacarrier
000923105 4901_ $$aLecture notes in mechanical engineering,$$x2195-4356
000923105 500__ $$aInternational conference proceedings.
000923105 500__ $$aIncludes author index.
000923105 5050_ $$aArtificial Intelligent Applications -- Modeling and Optimization of Surface Roughness Parameters of Stainless Steel by Artificial Intelligence Methods -- Using Artificial Intelligence for the Improvement of Weapon Efficiency -- Big Data and Analytics -- Industry 4.0 Score Prediction of Turkish SMEs via Data Classification -- The Gender Analysis of Enrolled Students: A Comparison Study of Austrian And Turkish Higher Education -- Energy Management -- Electricity Consumption Forecasting with Artificial Neural Network for Fast-Moving Consumer Goods Sector.
000923105 506__ $$aAccess limited to authorized users.
000923105 520__ $$aThis book discusses the conference that forms a unique platform to bring together academicians and practitioners from industrial engineering and management engineering as well as from other disciplines working on production function applying the tools of operational research and production/operational management. Topics treated include: computer-aided manufacturing, Industry 4.0, big data and analytics, flexible manufacturing systems, fuzzy logic, industrial applications, information technologies in production management, optimization, production economy, production planning and control, productivity and performance management, project management, quality management, risk analysis and management, and supply chain management.
000923105 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 29, 2019).
000923105 650_0 $$aProduction management$$vCongresses.
000923105 650_0 $$aProduction planning$$vCongresses.
000923105 650_0 $$aManufacturing processes$$vCongresses.
000923105 650_0 $$aProduction control$$vCongresses.
000923105 7001_ $$aDurakbasa, Numan M.$$eeditor.
000923105 7001_ $$aGençyılmaz, M. Güneş,$$eeditor.
000923105 830_0 $$aLecture notes in mechanical engineering.
000923105 852__ $$bebk
000923105 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-31343-2$$zOnline Access$$91397441.1
000923105 909CO $$ooai:library.usi.edu:923105$$pGLOBAL_SET
000923105 980__ $$aEBOOK
000923105 980__ $$aBIB
000923105 982__ $$aEbook
000923105 983__ $$aOnline
000923105 994__ $$a92$$bISE