東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁 到查詢結果 [ subject:"Production planning" ]

切換: 標籤 | MARC模式 | ISBD

Proceedings of the International Sym...

International Symposium for Production Research (2019 :)

FindBook

Google Book

Amazon

博客來

Proceedings of the International Symposium for Production Research 2019

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Proceedings of the International Symposium for Production Research 2019/ edited by Numan M. Durakbasa, M. Gunes Gencyilmaz.
其他作者:	Durakbasa, Numan M.
團體作者:	International Symposium for Production Research
出版者:	Cham :Springer International Publishing : : 2020.,
面頁冊數:	xxiv, 853 p. :ill. (some col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer eBooks
標題:	Production management - Congresses. -
電子資源:	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. Gunes Gencyilmaz. - Cham :Springer International Publishing :2020. - xxiv, 853 p. :ill. (some col.), digital ;24 cm. - 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:

692736
Production management
--Congresses.

LC Class. No.: TS155

Dewey Class. No.: 658.5

Proceedings of the International Symposium for Production Research 2019
LDR:02361nmm a2200337 a 4500 001 2214183
003 DE-He213
005 20200302172814.0
006 m d
007 cr nn 008maaau
008 201118s2020 sz s 0 eng d
020 $a 9783030313432 $q (electronic bk.)
020 $a 9783030313425 $q (paper)
024 7 $a 10.1007/978-3-030-31343-2 $2 doi
035 $a 978-3-030-31343-2
040 $a GP $c GP
041 0 $a eng
050 4 $a TS155
072 7 $a TGP $2 bicssc
072 7 $a TEC009060 $2 bisacsh
072 7 $a TGP $2 thema
082 0 4 $a 658.5 $2 23
090 $a TS155 $b .I61 2019
111 2 $a International Symposium for Production Research $n (19th : $d 2019 : $c Vienna, Austria) $3 3444419
245 1 0 $a Proceedings of the International Symposium for Production Research 2019 $h [electronic resource] / $c edited by Numan M. Durakbasa, M. Gunes Gencyilmaz.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xxiv, 853 p. : $b ill. (some col.), digital ; $c 24 cm.
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 0 $a Production management $x Congresses. $3 692736
650 0 $a Production planning $v Congresses. $3 783973
650 0 $a Manufacturing processes $x Congresses. $3 707954
650 0 $a Production control $v Congresses. $3 3379429
650 1 4 $a Industrial and Production Engineering. $3 891024
700 1 $a Durakbasa, Numan M. $3 3379427
700 1 $a Gencyilmaz, M. Gunes. $3 3379428
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Lecture notes in mechanical engineering. $3 1622279
856 4 0 $u https://doi.org/10.1007/978-3-030-31343-2
950 $a Engineering (Springer-11647)