Editors:
- Presents major advances and applications in industrial engineering and operations management
- Covers topics in stochastic optimization, data science, logistics, knowledge and information management, and more
- Offers a valuable resource for researchers and practitioners in the fields of operations, manufacturing, industrial and production engineering, and management
Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 337)
Conference series link(s): IJCIEOM: International Joint conference on Industrial Engineering and Operations Management
Conference proceedings info: IJCIEOM 2020.
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Table of contents (52 papers)
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Front Matter
About this book
Editors and Affiliations
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Industrial Engineering Department, Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, Brazil
Antônio Márcio Tavares Thomé
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Engenharia de Produção, Federal Center for Technological Education, Rio de Janeiro, Brazil
Rafael Garcia Barbastefano
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Departamento de Engenharia Industrial, Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, Brazil
Luiz Felipe Scavarda
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DEGEIT and GOVCOPP, University of Aveiro, Aveiro, Portugal
João Carlos Gonçalves dos Reis, Marlene Paula Castro Amorim
Bibliographic Information
Book Title: Industrial Engineering and Operations Management
Book Subtitle: XXVI IJCIEOM, Rio de Janeiro, Brazil, July 8–11, 2020
Editors: Antônio Márcio Tavares Thomé, Rafael Garcia Barbastefano, Luiz Felipe Scavarda, João Carlos Gonçalves dos Reis, Marlene Paula Castro Amorim
Series Title: Springer Proceedings in Mathematics & Statistics
DOI: https://doi.org/10.1007/978-3-030-56920-4
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-56919-8Published: 30 October 2020
eBook ISBN: 978-3-030-56920-4Published: 29 October 2020
Series ISSN: 2194-1009
Series E-ISSN: 2194-1017
Edition Number: 1
Number of Pages: XIV, 649
Number of Illustrations: 52 b/w illustrations, 118 illustrations in colour
Topics: Applications of Mathematics, Operations Management, Industrial and Production Engineering, Data Mining and Knowledge Discovery, Probability Theory and Stochastic Processes