Manufacturing System Optimization with Lean Methods, Manufacturing Process Objectives and Fuzzy Logic Controller Design

Title data

Drews, Tom ; Molenda, Paul ; Oechsle, Oliver ; Koller, Jan:
Manufacturing System Optimization with Lean Methods, Manufacturing Process Objectives and Fuzzy Logic Controller Design.
University of Bayreuth, Chair Manufacturing and Remanufacturing Technology, Universitaetsstrasse 9, 95447 Bayreuth, Germany; Fraunhofer Institute for Manufacturing Engineering and Automation IPA, Universitaetsstrasse 9, 95447 Bayreuth, Germany
In: Procedia CIRP. Vol. 93 (2020) . - pp. 658-663.
ISSN 2212-8271
DOI: https://doi.org/10.1016/j.procir.2020.04.145

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Abstract in another language

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.