Hybrid simulation objects using fuzzy set theory for simulation of innovative process chains

Abstract

The purpose of introducing new manufacturing process chains, such as innovative sheet metal processing technologies, is to increase production efficiency. Their success can be quantified by assessing the expected reduction of manufacturing time or costs and the increase in flexibility. However, the implementation of new process chains is usually inhibited by the financial effort and the lack of exact knowledge about their real effect on production efficiency. Furthermore, the economic efficiency is mainly dependent on the vaguely known quantity and variety of products which have been planned for future production. Therefore, a hybrid system using dynamic simulation objects and fuzzy set theory is designed to assess its efficiency and flexibility in advance. Its design and application are explained by the example of the hydroforming process chain of sheet metal pairs, an innovative sheet metal forming technology.