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An Efficient Multi-Objective Hybrid Simheuristic Approach for Advanced Rolling Horizon Production Planning

 
: Kamhuber, Felix; Sobottka, Thomas; Heinzl, Bernhard; Sihn, Wilfried

:

Mustafee, N. ; Institute of Electrical and Electronics Engineers -IEEE-:
Winter Simulation Conference, WSC 2019 : December 8-11, 2019, National Harbor
Piscataway, NJ: IEEE, 2019
ISBN: 978-1-7281-3283-9
ISBN: 978-1-7281-3282-2
ISBN: 978-1-7281-2052-2
S.2108-2118
Winter Simulation Conference (WSC) <2019, National Harbor/Md.>
Englisch
Konferenzbeitrag
Fraunhofer Austria ()
Effizienz; Fertigungsplanung; hybrid

Abstract
This contribution introduces an innovative holistic multi-objective simheuristic approach for advanced production planning on rolling horizon basis for an European industrial food manufacturer. The optimization combines an efficient heuristic mixed-integer optimization, followed by a customized Simulated Annealing algorithm. State-of-the-Art multi-objective solution techniques fail to address highly fluctuating demands in a suitable way. Due to the lack of modelling details, as well as dynamic constraints, these methods are unable to adapt to seasonal (off-) peaks in demand and to consider resource adjustments. Our approach features dynamic capacity and stock-level restrictions, which are evaluated by an integrated simulation module, as well as a statistical explorative data analysis. In addition to a smoothed production, mid-term stock levels, setup-costs and the expected utilization of downstream equipment are optimized simultaneously. The results show a ~30 to 40% reduced output variation rate, thus yielding an equally reduced requirement for downstream equipment.

: http://publica.fraunhofer.de/dokumente/N-629164.html