Use of Artificial Intelligence at the Level of Manufacturing Processes

Artificial Intelligence (AI) is an ensemble of technologies that have diverse capabilities. As a matter of fact, it appears that most of them are quite diverse and useful, also when applied in the field of manufacturing processes. However, the interactions between the agents involved in relevant manufacturing applications often is not straightforward, as the environment can be quite harsh and dynamic. Herein, a mapping is sketched between AI territories and manufacturing process-related operations. To this end, different aspects of the processes are considered, such as monitoring, modelling, optimization, design and preparation, as well as control, twinning and operation. For each one of these cases, AI technologies and workflows are matched, leading to a roadmap for future research. In this path, there are various specific challenges, many of which are mentioned here, as well. Specific examples from both conventional and non-conventional processes are considered, as well as focused illustrations of the possibilities that AI technologies can offer. In addition, the different manufacturing attributes, as guided by different strategies, are discussed in the context of the aforementioned concept. These include, among others, sustainability, human centricity and quality management. Finally, the role of services is discussed under the current context.