Abstract
Nowadays manufacturers have highly sophisticated and reliable in-house logistics systems that support production lines, with a primary focus on increasing system efficiency. For decision-makers to get the desired efficiency level, tools that help identify the improved set of operations are necessary. The use of simulation to evaluate a manufacturing system design and performance can explore this need. In this work, a Discrete Event Simulation (DES) model is presented for evaluating the current production layout and identifying potential areas for improvement for a renewable energy sources production system. Production scenarios with different shop-floor setups were explored and simulation runs were realized. To evaluate the efficiency of each of the shop-floor setup variation, resulted KPIs, such as makespan and resources utilization for different workloads, were detailed. Results showed that small labor and machines adjustments, as well as a more flexible process plan, lead to significant productivity enhancement.
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Acknowledgement
This work was co-funded from the EIT Manufacturing Regional Innovation Scheme (RIS). This paper preparation and completion were possible with the generous staff allowance from HELBIO S.A. Hydrogen and Energy production. The authors are grateful to Neoklis Tzinias, Alexandros Safakas and George Nomikos for supporting this research.
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Mavrothalassitis, P., Nikolakis, N., Alexopoulos, K. (2023). Discrete Event Simulation for Improving the Performance of Manufacturing Systems: A Case Study for Renewable Energy Sources Production. In: Alfnes, E., Romsdal, A., Strandhagen, J.O., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures. APMS 2023. IFIP Advances in Information and Communication Technology, vol 692. Springer, Cham. https://doi.org/10.1007/978-3-031-43688-8_45
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DOI: https://doi.org/10.1007/978-3-031-43688-8_45
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