Smart Manufacturing Traceability for Automotive E/E Systems enabled by Event-Driven Microservice Architecture

Abstract

Autonomous driving is inducing a paradigm shift in the automotive electrical system industry towards higher process transparency and reliability. In manufacturing, this requires the implementation of a traceability system, which allows comprehending the product’s configuration and batch structure as well as its process history, including quality tests, resource data, and machine parameters. In this research, we specify the traceability scheme for automotive electrical systems with regard to the newly arising requirements in the context of autonomous driving. We further derive an aligned traceability information system architecture based on manufacturing data events, in which relevant traceability functionalities are provided through microservices. Our research, therefore, overcomes the shortcomings of state-of-the-art monolithic traceability solutions, contributing a scalable and configurable manufacturing data design, which leverages data utilization in distributed and complex manufacturing flows.