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Establishing 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.
Scholz et al. (Fri,) studied this question.