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Dynamic optimization of manufacturing systems in automotive industries

: Lanza, Gisela; Peters, Steven; Herrmann, Hans-Georg


CIRP Journal of Manufacturing Science and Technology 5 (2012), Nr.4, S.235-240
ISSN: 1755-5817
International Conference on Manufacturing Systems (ICMS) <44, 2011, Madison/Wis.>
Zeitschriftenaufsatz, Konferenzbeitrag
Fraunhofer IZFP ()
production planning; Life Cycle Cost; Markovian decision process

The automotive industry faces major challenges due to volatile markets and expenses for new technologies. The dynamics of markets and future technological variety demand flexibility. A sustainable transformation strategy is indispensable for upcoming decades. The following paper presents an approach supporting both, tactical as well as strategic decision-making in volatile manufacturing environments. At first, operating costs and performance figures of manufacturing systems are calculated. In step two, a Markovian Decision Process is solved to find a cost minimal policy over planning horizons. The optimization of the manufacturing system is based on capacity adaptations and changes in process steps, suppliers, and locations.