Material Disposition and Scheduling in Regeneration Processes using Prognostic Data Mining-Reference-Cited by-同舟云学术

Material Disposition and Scheduling in Regeneration Processes using Prognostic Data Mining

Published:2020 Issue: Volume:43 Page:208-214
ISSN:2351-9789
Container-title:Procedia Manufacturing
language:en
Short-container-title:Procedia Manufacturing

Author:

Heuer Tammo,Lucht Torben,Nyhuis Peter

Publisher

Elsevier BV

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering

Reference21 articles.

1. Herde, F.: Revenue-Management-Ansatz für eine Annahmesteuerung kundenspezifischer Regenerationsaufträge komplexer Investitionsgüter. Dissertation, Leibniz Universität Hannover; Springer Fachmedien Wiesbaden GmbH (2018).

2. Production planning and control for remanufacturing: industry practice and research needs;Guide;Journal of Operations Management,2000

3. Kapazitätsplanung und -abstimmung für die Regeneration komplexer Investitionsgüter;Eickemeyer,2014

4. Hermeier, B., Platzköster, C.: Ergebnisse der ersten bundesweiten FOM-Marktstudie "Industrie-Dienstleistungen". http://www.fom.de/fileadmin/user_upload/Arbeitspapiere/02_FOM_Arbeitspapier.pdf (2006).

5. MRO Muscle;Tegtmeier;Aviantion Week & Space Technology,2010

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. Modeling, Configuration and Assessment of Regeneration Supply Chains;Regeneration of Complex Capital Goods;2024-09-12

2. Prediction of Disassembly Parameters for Process Planning Based on Machine Learning;Lecture Notes in Production Engineering;2023

3. Integrated Repair Shop Scheduling and Spare Parts Pooling for Robust Product Regeneration;2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM);2021-12-13

4. Towards an autonomous maintenance, repair and overhaul process;Procedia Manufacturing;2019