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Hybrid simulation-based optimization of discrete parts manufacturing to increase energy efficiency and productivity

 
: Sobottka, Thomas; Kamhuber, Felix; Rössler, Matthias; Sihn, Wilfried

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Volltext urn:nbn:de:0011-n-4917729 (1000 KByte PDF)
MD5 Fingerprint: 1fa6ace66a17e0ea5134057e504e0748
(CC) by-nc-nd
Erstellt am: 8.5.2018


Procedia manufacturing 21 (2018), S.413-420
ISSN: 2351-9789
Global Conference on Sustainable Manufacturing (GCSM) <15, 2017, Haifa>
Englisch
Zeitschriftenaufsatz, Konferenzbeitrag, Elektronische Publikation
Fraunhofer IPA ()
Fraunhofer Austria ()
Simulation; Prozessoptimierung; Fertigungskette; energieeffiziente Produktion

Abstract
This presented research comprises the development of an optimization module for use in a novel production optimization tool – similar in function but not mode of operation to an Advanced Planning System –, with energy efficiency incorporated into its goal system. The optimization features a hybrid-simulation of production systems as an evaluation function. A hybrid simulation has been developed and presented in preceding publications, in order to enable a sufficient consideration of interactions between material flow and the thermal-physical behavior of the production system. The size of the search space for the complex optimization problem necessitates a customized two-phase-optimization method, which is based on a Genetic Algorithm, with the consideration of linear constraints and extended customizations. The results, obtained in a case study featuring a food production facility, show energy savings of around 20 percent together with significant productivity gains.

: http://publica.fraunhofer.de/dokumente/N-491772.html