AbstractEstablishing lean and green learning factories is a practical approach to meet rising resource efficiency requirements in industrial manufacturing. Besides lean aspects, the impact of increasing flexibility in intralogistics on energy consumption needs to be quantified and transferred to industry decision makers via suitable learning scenarios to deepen the understanding of energy-related dependencies of various transport technologies. This paper presents an approach for a systematic identification and implementation of lean and resource efficiency potentials focusing on automated guided vehicles.Therefore, energy efficiency of alternative assets is measured, simulated and characterized by using Energy Performance Indicators
The optimization of energy efficiency and effectiveness is one of the central challenges of the 21st...
Machine learning (ML) can be a valuable tool for discovering opportunities to save energy and resour...
Learning has become essential for many companies whose manufacturing environment, where tasks have i...
The electrification of tomorrow’s mobility concepts requires a lightweight design of automotive chas...
AbstractLearning factories serve as platforms to ensure research findings are disseminated into indu...
AbstractIn the recent past global industries started to take action towards energy efficient manufac...
Part 1: Knowledge-Based SustainabilityInternational audienceDue to the growing globalization and the...
AbstractIn order to provide flexibility in manufacturing many tasks are still executed manually. Tas...
This Special Issue addresses the important issue of the energy efficiency of both manufacturing proc...
In order to provide flexibility in manufacturing many tasks are still executed manually. Tasks like ...
Part 1: Knowledge-Based SustainabilityInternational audienceEnergy and resource efficiency requires ...
AbstractConsidering the fact that industrial processes account for 19.1% of the German primary energ...
Extending the traditional scope of industrial lean management oriented learning factories led to the...
Considering the fact that industrial processes account for 19.1 of the German primary energy demand...
Part 12: Applications of Machine Learning in Production ManagementInternational audienceCurrently, m...
The optimization of energy efficiency and effectiveness is one of the central challenges of the 21st...
Machine learning (ML) can be a valuable tool for discovering opportunities to save energy and resour...
Learning has become essential for many companies whose manufacturing environment, where tasks have i...
The electrification of tomorrow’s mobility concepts requires a lightweight design of automotive chas...
AbstractLearning factories serve as platforms to ensure research findings are disseminated into indu...
AbstractIn the recent past global industries started to take action towards energy efficient manufac...
Part 1: Knowledge-Based SustainabilityInternational audienceDue to the growing globalization and the...
AbstractIn order to provide flexibility in manufacturing many tasks are still executed manually. Tas...
This Special Issue addresses the important issue of the energy efficiency of both manufacturing proc...
In order to provide flexibility in manufacturing many tasks are still executed manually. Tasks like ...
Part 1: Knowledge-Based SustainabilityInternational audienceEnergy and resource efficiency requires ...
AbstractConsidering the fact that industrial processes account for 19.1% of the German primary energ...
Extending the traditional scope of industrial lean management oriented learning factories led to the...
Considering the fact that industrial processes account for 19.1 of the German primary energy demand...
Part 12: Applications of Machine Learning in Production ManagementInternational audienceCurrently, m...
The optimization of energy efficiency and effectiveness is one of the central challenges of the 21st...
Machine learning (ML) can be a valuable tool for discovering opportunities to save energy and resour...
Learning has become essential for many companies whose manufacturing environment, where tasks have i...