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
Project information
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Project financing: |
Oberfrankenstiftung |
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.
Further data
Item Type: | Article in a journal |
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Refereed: | Yes |
Keywords: | Manufacturing system; Lean methods; Fuzzy; Process optimization |
Institutions of the University: | Faculties > Faculty of Engineering Science > Chair Manufacturing and Remanufacturing Technology > Chair Manufacturing and Remanufacturing Technology - Univ.-Prof. Dr.-Ing. Frank Döpper Faculties Faculties > Faculty of Engineering Science Faculties > Faculty of Engineering Science > Chair Manufacturing and Remanufacturing Technology |
Result of work at the UBT: | Yes |
DDC Subjects: | 600 Technology, medicine, applied sciences > 620 Engineering 600 Technology, medicine, applied sciences > 670 Manufacturing |
Date Deposited: | 29 Sep 2020 07:04 |
Last Modified: | 29 Sep 2020 07:04 |
URI: | https://eref.uni-bayreuth.de/id/eprint/57705 |