Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5470152 | Procedia CIRP | 2017 | 6 Pages |
Abstract
Introducing Manufacturing Systems 4.0 is essential for the existence of competing industrial companies. Nevertheless, knowledge about benefits of Manufacturing Solutions 4.0 is limited. This paper introduces an approach to evaluate Manufacturing Systems 4.0. Uncertainty is integrated via fuzzy set theory and stochastic models. The financial impact of non-monetary criteria is directly modelled. A Monte-Carlo Simulation aggregates criteria in a probability distribution of the projects net present value (NPV). Comparing distributions of different alternatives determines the most favorable alternative and analyses potential and risk. Through this concept understanding of Manufacturing Systems 4.0 is improved and their benefits are displayed comprehensively.
Related Topics
Physical Sciences and Engineering
Engineering
Industrial and Manufacturing Engineering
Authors
Christoph Liebrecht, Alexander Jacob, Andreas Kuhnle, Gisela Lanza,