Verfügbarkeit: Industrial Engineering and Operations Management

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Bibliographische Detailangaben
Titel:	Industrial Engineering and Operations Management XXVI IJCIEOM, Rio de Janeiro, Brazil, July 8–11, 2020
Von:	edited by Antônio Márcio Tavares Thomé, Rafael Garcia Barbastefano, Luiz Felipe Scavarda, João Carlos Gonçalves dos Reis, Marlene Paula Castro Amorim
Person:	Thomé, Antônio Márcio Tavares Barbastefano, Rafael Garcia Scavarda, Luiz Felipe dos Reis, João Carlos Gonçalves Amorim, Marlene Paula Castro
Weitere Personen:	Thomé, Antônio Márcio Tavares (HerausgeberIn), Barbastefano, Rafael Garcia (HerausgeberIn), Scavarda, Luiz Felipe (HerausgeberIn), dos Reis, João Carlos Gonçalves (HerausgeberIn), Amorim, Marlene Paula Castro (HerausgeberIn)
Format:	Elektronisch E-Book
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 2020 Cham Springer
Ausgabe:	1st ed. 2020
Schriftenreihe:	Springer Proceedings in Mathematics & Statistics 337
Schlagworte:	Applications of Mathematics Operations Management Industrial and Production Engineering Data Mining and Knowledge Discovery Probability Theory and Stochastic Processes Applied mathematics Engineering mathematics Production management Industrial engineering Production engineering Data mining Probabilities
Online-Zugang:	https://doi.org/10.1007/978-3-030-56920-4 https://doi.org/10.1007/978-3-030-56920-4 https://doi.org/10.1007/978-3-030-56920-4 https://doi.org/10.1007/978-3-030-56920-4 https://doi.org/10.1007/978-3-030-56920-4 https://doi.org/10.1007/978-3-030-56920-4 https://doi.org/10.1007/978-3-030-56920-4 https://doi.org/10.1007/978-3-030-56920-4 https://doi.org/10.1007/978-3-030-56920-4 https://doi.org/10.1007/978-3-030-56920-4 https://doi.org/10.1007/978-3-030-56920-4 https://doi.org/10.1007/978-3-030-56920-4 https://doi.org/10.1007/978-3-030-56920-4 https://doi.org/10.1007/978-3-030-56920-4 https://doi.org/10.1007/978-3-030-56920-4
Beschreibung:	1 Online-Ressource (XIV, 649 p. 170 illus., 118 illus. in color)
ISBN:	9783030569204
ISSN:	2194-1009
DOI:	10.1007/978-3-030-56920-4

Internformat

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spellingShingle	Industrial Engineering and Operations Management XXVI IJCIEOM, Rio de Janeiro, Brazil, July 8–11, 2020 Applications of Mathematics Operations Management Industrial and Production Engineering Data Mining and Knowledge Discovery Probability Theory and Stochastic Processes Applied mathematics Engineering mathematics Production management Industrial engineering Production engineering Data mining Probabilities
title	Industrial Engineering and Operations Management XXVI IJCIEOM, Rio de Janeiro, Brazil, July 8–11, 2020
title_auth	Industrial Engineering and Operations Management XXVI IJCIEOM, Rio de Janeiro, Brazil, July 8–11, 2020
title_exact_search	Industrial Engineering and Operations Management XXVI IJCIEOM, Rio de Janeiro, Brazil, July 8–11, 2020
title_full	Industrial Engineering and Operations Management XXVI IJCIEOM, Rio de Janeiro, Brazil, July 8–11, 2020 edited by Antônio Márcio Tavares Thomé, Rafael Garcia Barbastefano, Luiz Felipe Scavarda, João Carlos Gonçalves dos Reis, Marlene Paula Castro Amorim
title_fullStr	Industrial Engineering and Operations Management XXVI IJCIEOM, Rio de Janeiro, Brazil, July 8–11, 2020 edited by Antônio Márcio Tavares Thomé, Rafael Garcia Barbastefano, Luiz Felipe Scavarda, João Carlos Gonçalves dos Reis, Marlene Paula Castro Amorim
title_full_unstemmed	Industrial Engineering and Operations Management XXVI IJCIEOM, Rio de Janeiro, Brazil, July 8–11, 2020 edited by Antônio Márcio Tavares Thomé, Rafael Garcia Barbastefano, Luiz Felipe Scavarda, João Carlos Gonçalves dos Reis, Marlene Paula Castro Amorim
title_short	Industrial Engineering and Operations Management
title_sort	industrial engineering and operations management xxvi ijcieom rio de janeiro brazil july 8 11 2020
title_sub	XXVI IJCIEOM, Rio de Janeiro, Brazil, July 8–11, 2020
topic	Applications of Mathematics Operations Management Industrial and Production Engineering Data Mining and Knowledge Discovery Probability Theory and Stochastic Processes Applied mathematics Engineering mathematics Production management Industrial engineering Production engineering Data mining Probabilities
topic_facet	Applications of Mathematics Operations Management Industrial and Production Engineering Data Mining and Knowledge Discovery Probability Theory and Stochastic Processes Applied mathematics Engineering mathematics Production management Industrial engineering Production engineering Data mining Probabilities
url	https://doi.org/10.1007/978-3-030-56920-4
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