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Industrial Engineering and Operations Management - XXVI IJCIEOM, Rio de Janeiro, Brazil, July 8-11, 2020 (Hardcover, 1st ed. 2020) Loot Price: R3,762
Discovery Miles 37 620
Industrial Engineering and Operations Management - XXVI IJCIEOM, Rio de Janeiro, Brazil, July 8-11, 2020 (Hardcover, 1st ed....

Industrial Engineering and Operations Management - XXVI IJCIEOM, Rio de Janeiro, Brazil, July 8-11, 2020 (Hardcover, 1st ed. 2020)

Antonio Marcio Tavares Thome, Rafael Garcia Barbastefano, Luiz Felipe Scavarda, Joao Carlos Goncalves dos Reis, Marlene Paula Castro Amorim

Series: Springer Proceedings in Mathematics & Statistics, 337

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Loot Price R3,762 Discovery Miles 37 620 | Repayment Terms: R353 pm x 12*

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This volume gathers selected peer-reviewed papers presented at the XXVI International Joint Conference on Industrial Engineering and Operations Management (IJCIEOM), held on July 8-11, 2020 in Rio de Janeiro, Brazil. The respective chapters address a range of timely topics in industrial engineering, including operations and process management, global operations, managerial economics, data science and stochastic optimization, logistics and supply chain management, quality management, product development, strategy and organizational engineering, knowledge and information management, work and human factors, sustainability, production engineering education, healthcare operations management, disaster management, and more. These topics broadly involve fields like operations, manufacturing, industrial and production engineering, and management. Given its scope, the book offers a valuable resource for those engaged in optimization research, operations research, and practitioners alike.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Springer Proceedings in Mathematics & Statistics, 337
Release date: October 2020
First published: 2020
Editors: Antonio Marcio Tavares Thome • Rafael Garcia Barbastefano • Luiz Felipe Scavarda • Joao Carlos Goncalves dos Reis • Marlene Paula Castro Amorim
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 649
Edition: 1st ed. 2020
ISBN-13: 978-3-03-056919-8
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Business & Economics > Business & management > Management of specific areas > General
Books > Science & Mathematics > Mathematics > Applied mathematics > General
Books > Professional & Technical > Mechanical engineering & materials > Production engineering > General
Books > Computing & IT > Applications of computing > Databases > Data mining
LSN: 3-03-056919-5
Barcode: 9783030569198

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