Application of time series data mining for the prediction of transition times in production-Reference-Cited by-同舟云学术

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Application of time series data mining for the prediction of transition times in production

Published:2020 Issue: Volume:93 Page:897-902
ISSN:2212-8271
Container-title:Procedia CIRP
language:en
Short-container-title:Procedia CIRP

Author:

Schuh Günther,Gützlaff Andreas,Sauermann Frederick,Theunissen Theresa

Publisher

Elsevier BV

Subject

General Medicine

Reference40 articles.

1. Motivation and Personality;Maslow,1970

2. Product Production Complexity Research: Developments and Opportunities;Schuh;Procedia CIRP,2017

3. Deep Neural Networks Based Order Completion Time Prediction by Using Real-Time Job Shop RFID Data;Wang;Journal of Intelligent Manufacturing,2017

4. Time‐Based Manufacturing Logistics;Andries;Logistics Information Management,1995

5. Fundamentals of Production Logistics;Nyhuis,2009

Cited by 4 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. Systemising Data-driven Methods for Predicting Throughput Time within Production Planning & Control;2022 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM);2022-12-07

2. Building a Lucy hybrid model for grocery sales forecasting based on time series;The Journal of Supercomputing;2022-09-20

3. Benchmarking AutoML-Supported Lead Time Prediction;Procedia Computer Science;2022

4. Work in Progress Level Prediction with Long Short-Term Memory Recurrent Neural Network;Procedia Manufacturing;2021

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