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

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.

Mehr zum Titel

Titel	Manufacturing System Optimization with Lean Methods, Manufacturing Process Objectives and Fuzzy Logic Controller Design
Medien	Procedia CIRP
Verlag	Elsevier/Science Direct
Band	93
Verfasser	Tom Drews, Prof. Dr.-Ing. Paul Molenda, Oliver Oechsle, Jan Koller
Seiten	S. 658-663
Veröffentlichungsdatum	22.09.2020
Zitation	Drews, Tom; Molenda, Paul; Oechsle, Oliver; Koller, Jan (2020): Manufacturing System Optimization with Lean Methods, Manufacturing Process Objectives and Fuzzy Logic Controller Design. Procedia CIRP 93, S. 658-663.