國立虎尾科技大學 |

Proceedings of the International Symposium for Production Research 2019

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Proceedings of the International Symposium for Production Research 2019/ edited by Numan M. Durakbasa, M. Güneş Gençyılmaz.
other author:	Gençyılmaz, M. Güneş.
Description:	XXIV, 853 p. 329 illus., 259 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Industrial and Production Engineering. -
Online resource:	https://doi.org/10.1007/978-3-030-31343-2
ISBN:	9783030313432

Proceedings of the International Symposium for Production Research 2019
Proceedings of the International Symposium for Production Research 2019[electronic resource] /edited by Numan M. Durakbasa, M. Güneş Gençyılmaz. - 1st ed. 2020. - XXIV, 853 p. 329 illus., 259 illus. in color.online resource. - Lecture Notes in Mechanical Engineering,2195-4356. - Lecture Notes in Mechanical Engineering,.

Artificial 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.

This 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.

ISBN: 9783030313432

Standard No.: 10.1007/978-3-030-31343-2doiSubjects--Topical Terms:

593943
Industrial and Production Engineering.

LC Class. No.: T55.4-60.8

Dewey Class. No.: 670

Proceedings of the International Symposium for Production Research 2019
LDR:02746nam a22004095i 4500 001 1017993
003 DE-He213
005 20200705011350.0
007 cr nn 008mamaa
008 210318s2020 gw | s |||| 0|eng d
020 $a 9783030313432 $9 978-3-030-31343-2
024 7 $a 10.1007/978-3-030-31343-2 $2 doi
035 $a 978-3-030-31343-2
050 4 $a T55.4-60.8
072 7 $a TGP $2 bicssc
072 7 $a TEC009060 $2 bisacsh
072 7 $a TGP $2 thema
082 0 4 $a 670 $2 23
245 1 0 $a Proceedings of the International Symposium for Production Research 2019 $h [electronic resource] / $c edited by Numan M. Durakbasa, M. Güneş Gençyılmaz.
250 $a 1st ed. 2020.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a XXIV, 853 p. 329 illus., 259 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Lecture Notes in Mechanical Engineering, $x 2195-4356
505 0 $a Artificial 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.
520 $a This 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.
650 1 4 $a Industrial and Production Engineering. $3 593943
650 0 $a Production engineering. $3 566269
650 0 $a Industrial engineering. $3 679492
700 1 $a Gençyılmaz, M. Güneş. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1312900
700 1 $a Durakbasa, Numan M. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1301387
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030313425
776 0 8 $i Printed edition: $z 9783030313449
776 0 8 $i Printed edition: $z 9783030313456
830 0 $a Lecture Notes in Mechanical Engineering, $x 2195-4356 $3 1253850
856 4 0 $u https://doi.org/10.1007/978-3-030-31343-2
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)