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A HRRN based scheduling for FMS and RMS with networked control and product-intelligence

: Bertelsmeier, F.; Pollmann, J.; Trächtler, A.


Institute of Electrical and Electronics Engineers -IEEE-; IEEE Industrial Electronics Society -IES-:
42nd Annual Conference of the IEEE Industrial Electronics Society, IECON 2016. Proceedings : Florence, Italy, October 24-27, 2016
Piscataway, NJ: IEEE, 2016
ISBN: 978-1-5090-3474-1
ISBN: 978-1-5090-3475-8
IEEE Industrial Electronics Society (IECON Annual Conference) <42, 2016, Florence>
Conference Paper
Fraunhofer IEM ()

In the area of product-based control of manufacturing processes, the potential to integrate intelligent products in process control has been recognized several times. However, the integration of greatly varying intelligent products on the job scheduling and networked control of distributed cell-based manufacturing processes have not been investigated. This paper begins with definitions of product-intelligence and a so called distributed data and interface model. Based on this, a cell-based manufacturing process with networked control architecture with different intelligent products as a function of varying product properties is presented. In addition, the product-intelligence and a highest response ratio next based job scheduling approach for flexible and reconfigurable manufacturing systems is presented. Through simulation results from a flexible candle manufacturing demonstrator scenario, it has been shown that the extended highest response ratio next scheduling approach represents a further module in the realization of product-intelligence based cyber-physical production systems with variable lot sizes and product-individual requirements.