Abstract
This paper deals with a method for simulation based detailed planning to realize a maximum of adaptability in process planning and production control with minimum planning effort. For this purpose, alternative machining operations are generated using a dynamic ontology. The generated machining operations are evaluated referring to time, costs and quality. To be able to evaluate quality results for the machined workpiece, a virtual ramp-up cycle is developed. In case of a disturbance caused by quality failures during manufacturing, the adaptive detailed planning allows to shift to an alternative operation. The integration of process simulation into a planning method permits an agile manufacturing process and leads to benefits of time and costs.
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Denkena, B., Lorenzen, LE., Krüger, M., Schmidt, J. (2012). Simulation Based Detailed Planning for Agile Manufacturing. In: ElMaraghy, H. (eds) Enabling Manufacturing Competitiveness and Economic Sustainability. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23860-4_84
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DOI: https://doi.org/10.1007/978-3-642-23860-4_84
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