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IE&EM 2019: Proceedings of the 25th International Conference on Industrial Engineering and Engineering Management 2019

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Bibliographic Details
Other Authors:	Chien, Chen-Fu (Editor), Qi, Er Shi (Editor), Dou, Runliang (Editor)
Format:	Electronic eBook
Language:	English
Published:	Singapore Springer 2020
Subjects:	Business and Management, general Industrial Chemistry/Chemical Engineering Artificial Intelligence Data Mining and Knowledge Discovery Business Management science Chemical engineering Artificial intelligence Data mining Industrial Engineering Operations Management Konferenzschrift > 2019
Links:	https://doi.org/10.1007/978-981-15-4530-6 https://doi.org/10.1007/978-981-15-4530-6 https://doi.org/10.1007/978-981-15-4530-6 https://doi.org/10.1007/978-981-15-4530-6 https://doi.org/10.1007/978-981-15-4530-6 https://doi.org/10.1007/978-981-15-4530-6 https://doi.org/10.1007/978-981-15-4530-6 https://doi.org/10.1007/978-981-15-4530-6 https://doi.org/10.1007/978-981-15-4530-6 https://doi.org/10.1007/978-981-15-4530-6 https://doi.org/10.1007/978-981-15-4530-6 https://doi.org/10.1007/978-981-15-4530-6 https://doi.org/10.1007/978-981-15-4530-6 https://doi.org/10.1007/978-981-15-4530-6 https://doi.org/10.1007/978-981-15-4530-6 https://doi.org/10.1007/978-981-15-4530-6 https://doi.org/10.1007/978-981-15-4530-6 https://doi.org/10.1007/978-981-15-4530-6 https://doi.org/10.1007/978-981-15-4530-6 https://doi.org/10.1007/978-981-15-4530-6 https://doi.org/10.1007/978-981-15-4530-6 https://doi.org/10.1007/978-981-15-4530-6 https://doi.org/10.1007/978-981-15-4530-6 https://doi.org/10.1007/978-981-15-4530-6 https://doi.org/10.1007/978-981-15-4530-6 https://doi.org/10.1007/978-981-15-4530-6 https://doi.org/10.1007/978-981-15-4530-6 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032116023&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
Physical Description:	1 Online-Ressource (VII, 296 Seiten) 135 Illustrationen, 95 Illustrationen (farbig)
ISBN:	9789811545306
DOI:	10.1007/978-981-15-4530-6

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genre	(DE-588)1071861417 Konferenzschrift 2019 gnd-content
genre_facet	Konferenzschrift 2019
id	DE-604.BV046705560
illustrated	Illustrated
indexdate	2024-12-20T18:58:41Z
institution	BVB
isbn	9789811545306
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-032116023
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physical	1 Online-Ressource (VII, 296 Seiten) 135 Illustrationen, 95 Illustrationen (farbig)
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spellingShingle	IE&EM 2019 Proceedings of the 25th International Conference on Industrial Engineering and Engineering Management 2019 Business and Management, general Industrial Chemistry/Chemical Engineering Artificial Intelligence Data Mining and Knowledge Discovery Business Management science Chemical engineering Artificial intelligence Data mining Industrial Engineering (DE-588)4026775-1 gnd Operations Management (DE-588)4549167-7 gnd
subject_GND	(DE-588)4026775-1 (DE-588)4549167-7 (DE-588)1071861417
title	IE&EM 2019 Proceedings of the 25th International Conference on Industrial Engineering and Engineering Management 2019
title_auth	IE&EM 2019 Proceedings of the 25th International Conference on Industrial Engineering and Engineering Management 2019
title_exact_search	IE&EM 2019 Proceedings of the 25th International Conference on Industrial Engineering and Engineering Management 2019
title_full	IE&EM 2019 Proceedings of the 25th International Conference on Industrial Engineering and Engineering Management 2019 edited by Chen-Fu Chien, Ershi Qi, Runliang Dou
title_fullStr	IE&EM 2019 Proceedings of the 25th International Conference on Industrial Engineering and Engineering Management 2019 edited by Chen-Fu Chien, Ershi Qi, Runliang Dou
title_full_unstemmed	IE&EM 2019 Proceedings of the 25th International Conference on Industrial Engineering and Engineering Management 2019 edited by Chen-Fu Chien, Ershi Qi, Runliang Dou
title_short	IE&EM 2019
title_sort	ie em 2019 proceedings of the 25th international conference on industrial engineering and engineering management 2019
title_sub	Proceedings of the 25th International Conference on Industrial Engineering and Engineering Management 2019
topic	Business and Management, general Industrial Chemistry/Chemical Engineering Artificial Intelligence Data Mining and Knowledge Discovery Business Management science Chemical engineering Artificial intelligence Data mining Industrial Engineering (DE-588)4026775-1 gnd Operations Management (DE-588)4549167-7 gnd
topic_facet	Business and Management, general Industrial Chemistry/Chemical Engineering Artificial Intelligence Data Mining and Knowledge Discovery Business Management science Chemical engineering Artificial intelligence Data mining Industrial Engineering Operations Management Konferenzschrift 2019
url	https://doi.org/10.1007/978-981-15-4530-6 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032116023&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
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