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Manufacturing system optimization with lean methods, manufacturing process objectives and fuzzy logic controller design

 
: Drews, Tom; Molenda, Paul; Oechsle, Oliver; Koller, Jan

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Volltext ()

Procedia CIRP 93 (2020), S.658-663
ISSN: 2212-8271
Conference on Manufacturing Systems (CMS) <53, 2020, Online>
Englisch
Zeitschriftenaufsatz, Konferenzbeitrag, Elektronische Publikation
Fraunhofer IPA ()
Fertigungssystem; Fuzzy-Logik; lean production

Abstract
This paper presents an approach for the integration of lean methods and manufacturing process objectives through the usage of a fuzzy logic controller. The fuzzy logic controller comprises twelve common lean methods, three manipulated variables (setup time, error rate and technical availability) and five manufacturing process objectives, which are operationalized through the target variables Every Part Every Interval (EPEI), Overall Equipment Effectiveness (OEE), Lead Time (LT), Quality Grade (QG) and Delivery Service (DS). The basic structure of the fuzzy logic controller design and the modeling of the optimization effect on the manufacturing process level is shown.

: http://publica.fraunhofer.de/dokumente/N-614741.html