This master thesis presents a distinctive concept, which combines real-time data collection of a production system on the one hand, and a solution-oriented discrete simulation model on the other hand. This technique delivers information, which provides results for sustainably advanced and efficiency maximizing energy consumption in production sites. Especially companies deploying power monitoring devices can particularly benefit from this unique method of processing archived data and providing adequate data interpretation at the same time for highlighting inefficient energy consumption phases. Hence having a lasting competitive advantage with this innovative simulation model, production processes can be simulated in advance and production can be optimized by achieving maximal efficiency with minimal time investment. The presented concept was successfully implemented and verified in the Aspern IQ mi-factory laboratories. Innovative methods were developed to collect, handle and analyse data of the production site and then examine its functionality through the visualisation of independent energy variables. Based on the evaluation of manufacturing processes, the distinguishing factors for the energy efficiency of the machine shop were explored and determined. The primary goal of this technique is to achieve sustainable energy efficiency due to the determination of decisive parameters, targeted considering setup, part change and machining time. Finally, the impact of the aimed lot-size on energy efficiency can be anticipated with this simulation model. Expandability and universal applicability of the implemented procedures characterise the outcome of this project, which therefore, can be duplicated and adopted easily into other production sites. Comprehensive software methods were developed and implemented for achieving the accurate determination of the operating status of the machines under consideration. Finally, a tool was developed, which enables the production of standardised reports due to automatic collection of adequate information. This final piece in the model founds the layer for facilitated follow-up calculations.