Work in Progress Level Prediction with Long Short-Term Memory Recurrent Neural Network-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Work in Progress Level Prediction with Long Short-Term Memory Recurrent Neural Network

Published:2021 Issue: Volume:54 Page:136-141
ISSN:2351-9789
Container-title:Procedia Manufacturing
language:en
Short-container-title:Procedia Manufacturing

Author:

Gallina Viola,Lingitz Lukas,Breitschopf Johannes,Zudor Elisabeth,Sihn Wilfried

Funder

Horizon 2020 Framework Programme

European Commission

Österreichische Forschungsförderungsgesellschaft

Publisher

Elsevier BV

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering

Reference32 articles.

1. Neue Entwicklungen in der Unternehmensorganisation;Spath,2017

2. “Product variety management,”;ElMaraghy;CIRP Annals,2013

3. Verfahren der Fertigungssteuerung: Grundlagen, Beschreibung, Konfiguration;Lödding,2016

4. Betriebsorganisation für Ingenieure;Wiendahl,2019

5. “An analysis of the impact of industrie 4.0 on production planning and control,”;Dombrowski,2018

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hyperautomation on fuzzy data dredging on four advanced industrial forecasting models to support sustainable business management;Annals of Operations Research;2024-02-23

2. Work in Progress Prediction for Business Processes Using Temporal Convolutional Networks;Lecture Notes in Computer Science;2024

3. A digital twin-driven dynamic prediction method for robotized production line operational performance;2022 IEEE 17th Conference on Industrial Electronics and Applications (ICIEA);2022-12-16

4. Neural agent-based production planning and control: An architectural review;Journal of Manufacturing Systems;2022-10

5. Rediscovering scientific management. The evolution from industrial engineering to industrial data science;International Journal of Production Management and Engineering;2022-01-31

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3