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Development of a decision logic for the selection of a flexible robotic system for the automated manufacturing in tooling

Marcel Wilms, Thomas Bergs, Kristian Arntz, Lars Johannsen, Simon Strassburg

Year
2019
Citations
2

Abstract

Todays tool and die production is characterized by a high level of individualization and complex manufacturing processes. As a result toolmaking companies need a high number of various machine tools which require a high investment and big footprint. A flexible robotic system offers the advantage of combining several manufacturing processes in one set up (e.g. by interchangeable tool heads). But the diverse and contrary requirements of manufacturing processes are a challenge for the selection of a specific robot system. The developed decision logic solves this problem by using weighted fuzzy attribute sets to evaluate the feasibility and economic efficiency.

Keywords

Selection (genetic algorithm)Manufacturing engineeringFlexible manufacturing systemComputer scienceFuzzy logicSet (abstract data type)RobotEngineeringIndustrial engineeringArtificial intelligence

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