Energy load profile analysis on machine level
H Teiwes, S Blume, C Herrmann, M Rössinger… - Procedia Cirp, 2018 - Elsevier
The metering and analysis of energy demands is widely applied in today's manufacturing
industry in order to reduce energy costs and environmental impacts alike. However …
industry in order to reduce energy costs and environmental impacts alike. However …
Methodology for the selection of manufacturing technology chains based on ecologic and economic performance indicators
G Grünert, T Grünebaum, A Beckers, L Stauder… - Journal of Manufacturing …, 2023 - Elsevier
When manufacturing products, it becomes increasingly important to consider ecological
factors in addition to conventional key performance indicators such as manufacturing costs …
factors in addition to conventional key performance indicators such as manufacturing costs …
[BOOK][B] Energy and resource efficiency in aluminium die casting
T Heinemann - 2016 - Springer
Modern production enables a high standard of living worldwide through products and
services. Global responsibility requires a comprehensive integration of sustainable …
services. Global responsibility requires a comprehensive integration of sustainable …
[HTML][HTML] Method to identify energy efficiency potentials of metal cutting machine tools in industry
L Petruschke, M Burkhardt, T Kohne, P Schraml… - Procedia Cirp, 2020 - Elsevier
The challenge is to identify cost-efficient measures for decreasing the energy demand at a
reasonable effort in existing production sites. Metal cutting machine tools should be an …
reasonable effort in existing production sites. Metal cutting machine tools should be an …
Ascertainment of energy consumption information in the age of industrial big data
D Flick, F Kuschicke, M Schweikert, T Thiele, N Panten… - Procedia CIRP, 2018 - Elsevier
Abstract Industrial Big Data and Energy Management have become major strategic topics in
manufacturing as they offer possibilities to realize untapped cost and emission saving …
manufacturing as they offer possibilities to realize untapped cost and emission saving …
Learning factories and their enhancements-A comprehensive training concept to increase resource efficiency
B Krückhans, T Wienbruch, S Freith, H Oberc… - Procedia CIRP, 2015 - Elsevier
Learning factories have been developed to impart substantial knowledge about
improvement processes and methods to students and especially industrial participants …
improvement processes and methods to students and especially industrial participants …
[BOOK][B] Methodik zur Gestaltung von Technologieketten und Prozessfolgen nach lebensphasenübergreifend ökologisch-ökonomischen Kriterien
T Grünebaum - 2022 - books.google.com
Produzierende Unternehmen bewegen sich in einem Wettbewerbsumfeld, das durch eine
zunehmende Verknappung von Ressourcen, staatliche Regulierung, eine Bepreisung von …
zunehmende Verknappung von Ressourcen, staatliche Regulierung, eine Bepreisung von …
Machine learning based analysis of factory energy load curves with focus on transition times for anomaly detection
An accurate understanding of energy load curves is the key for effective management of
factory energy systems and basis for several energy applications (eg forecasts, anomaly …
factory energy systems and basis for several energy applications (eg forecasts, anomaly …
System zur energieorientierten Produktionssteuerung in der auftragsbezogenen Fertigung
CM Schultz - 2018 - mediatum.ub.tum.de
Der Inhalt der vorliegenden Arbeit ist die Entwicklung einer Produktionssteuerung zur
flexiblen Anpassung des produktionsbedingten Lastgangs mit dem Ziel, die betrieblichen …
flexiblen Anpassung des produktionsbedingten Lastgangs mit dem Ziel, die betrieblichen …
Manufacturing
The manufacturing industry is responsible for a large share of global environmental impacts
(eg, greenhouse gas emissions) that can mainly be tracked back to energy demand. This …
(eg, greenhouse gas emissions) that can mainly be tracked back to energy demand. This …