Data Science in the Manufacturing Domain

Speaker: Bernhard Mitschang, University of Stuttgart

The manufacturing domain is known for its high automation level that is achieved by means of a number of cooperating systems in all areas covering the product lifecycle: product design, product engineering, enterprise resource planning, supply chain management, manufacturing execution, service and support, recycling etc. This suite of systems is known to produce high volumes of data in all engineering and production areas. In order to exploit these volumes of data for optimization purposes, many data science projects are set up to analyze the available data and to come up with optimization proposals. In this talk I will first give an overview on the manufacturing domain and then dive into some data science topics, especially into data management and data analysis issues. Finally, I will come up with lessons learnt and a set of challenges for future work.